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October 18, 2026
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Comparative Study of Economies of India and Pakistan

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By: Nivriti Rathi, Research Analyst, GSDN

Comparing economies of different countries is a fundamental practice in global economics, offering critical insights for policymakers, investors, and businesses. Comparing Gross Domestic Product (GDP), inflation, and unemployment rates allows governments to benchmark their performance. International investors often rely on comparative data to assess risks and returns. Beyond financial metrics, comparing economies reveals differences in per capita income and quality of life. This is why it is beneficial to compare India with one of its principal neighbours – Pakistan.

Pakistan, a country located in South Asia, gained independence on August 14, 1947. Both countries gained independence in the same year and adopted a mixed economy where public and private sectors coexisted. Yet after almost eight decades, India’s nominal GDP is over 11 times larger than Pakistan’s, reflecting a wide divergence in economic performance despite similar starts.

Pakistan’s population is 256 million people with a growth rate of 1.57% per annum. It is equivalent to 3.10% of the total world population and it ranks no. 5 in population with a population density of 331 per sq. km. Talking about the developmental path, in the late 1950s and 1960s, Pakistan introduced a variety of regulated policy frameworks for the growth of domestic industries. The policy combined tariff protecting for manufacturing of consumer goods, together with direct import controls on competing imports, i.e. Pakistan also introduced an Import Substitution Policy (like India) in order to protect the domestic industries from foreign competition. In the case of agriculture, the introduction of the Green Revolution and increase in public investment in infrastructure led to a rise in the production of foodgrains. This changed the agrarian structure dramatically. In the early 1970s, nationalisation of capital goods industries took place. After that in the late 1970s, there was a shift in the government policy, when it adopted the policy and denationalisation. The government encouraged the private sector and also offered various incentives to them. All this created a conducive climate for new investments.

On the other hand, India’s development path is a unique precocious democracy model that moved directly from an agrarian economy to a service-led structure while maintaining universal suffrage from its inception. India combined public and private sectors, heavily emphasizing state-owned heavy industries through Five Year Plans starting in 1951. The pre-1990 period experienced a slower rate of growth, averaging around 4.5% annually, constrained by heavy regulation and import substitution. Facing a severe balance of payments crisis, India initiated sweeping deregulation, trade liberalisation, and privatisation. The economy bypassed a traditional manufacturing-heavy transition, leaping into Information Technology, software, and global services. India is now the world’s fifth-largest economy, driven by digital public infrastructure, strong macroeconomic frameworks, and massive public investments.

Talking about the sectoral contribution, Pakistan’s contribution of agriculture to Gross Value Added (GVA) was at 24%, but the proportion of workforce engaged in agriculture was 37% as compared to 46% of India. In India and Pakistan, the share of the secondary sector was 29% and 20% respectively. In 2021, the proportion of the workforce engaged in the manufacturing sector was 25% in both the countries. Lastly, the service sector contributes the highest share of GVA. In both countries, the service sector is emerging as a major player of development. The service sector has a contribution of 52% in case of India and 56% for Pakistan.

Discussing some of the Human Development Indicators, one of the most important ones is Human Development Index (HDI) which indicates the socio-economic development of a country. A higher value of the HDI shows a higher level of growth and development. HDI for India and Pakistan was estimated to be 0.644 and 0.540 respectively. HDI values are used to create rankings of different countries. India stands at 134th position, whereas, Pakistan stands at 164th position. A higher rank indicates lower socio-economic development. Life expectancy refers to the average number of years for which people are expected to live. A country which provides better health and civic facilities secures a higher life expectancy for its citizens. A higher life expectancy indicates a longer and more active average life span. India has a slightly higher life expectancy of 67.7 years while Pakistan has a life expectancy of 66.4 years. The mean years of schooling percentage for children aged 15 and above is 6.6% for India and 4.4% for Pakistan. A higher level of income of people in the country is the direct result of greater economic activities in the country. India’s Gross National Income per capita is US $6,951 and US $5,3,74 for Pakistan. People below the poverty line are the people who do not even have that level of income and expenditure, which is necessary to meet specified minimum levels of calorie intake. Both India and Pakistan have a large number of poor people in the population. Infant mortality rate refers to a number of infants dying before reaching one year of age per 1,000 live births in a year. Low infant mortality rate shows better health and sanitation facilities as most infants die due to unhygienic and insanitary environments. India’s IMR stands at 24 deaths per 1,000 live births while Pakistan’s IMR stands at an estimate of 47 deaths per 1,000 live births.

In Pakistan, the reform process led to the worsening of all the economic indicators. As compared to the 1980s, the growth rate of GDP and its sectoral constituents decreased in the 1990s. TThe proportion of the poor in the 1960s was more than 40 percent which declined to 25 percent in the 1980s and started rising again in the 1990s. There were multiple reasons for the slow down of growth and re-emergence of poverty in Pakistan’s economy. The agricultural growth and food supply situation was based on good harvests and not on an institutionalised process of technical change. When there was a good harvest, the economy was in good condition, when it was not, the economic indicators showed stagnation or negative trends. Foreign exchange is an essential component for any country and it is always preferred that foreign exchange reserves be built through exports of manufactured goods. However, in Pakistan, most of the foreign exchange earnings came from remittances from Pakistani workers in the Middle-east and the exports of highly volatile agricultural products. There was growing dependence on foreign loans on the one hand and increasing difficulty in paying back the loans on the other.

Pakistan’s economy is currently showing fragile signs of stabilization and modest recovery, with real gross domestic product (GDP) growth projected at 3.5% for fiscal year 2026. After years of severe crisis, high inflation, and tumbling currency reserves, tight monetary policies and international financial support have helped cool down runaway price pressures. Inflation rates have dropped significantly from their historic peaks, settling into a more manageable single-digit range of roughly 5% to 6%. Foreign exchange reserves held by the central bank have recovered from critical lows, and the Pakistani rupee has achieved relative stability against the U.S. dollar. Financial assistance from the International Monetary Fund (IMF) and the World Bank under structural reform packages has provided a vital safety net for the balance of payments. High public debt, expensive energy tariffs, and high borrowing costs continue to strain local businesses and everyday households. Political instability and climate change threats also add constant pressure on the fragile recovery. However, there are some future prospects for the development of Pakistan’s economy. Economic output is expected to expand further, with the Asian Development Bank forecasting GDP growth to rise toward 4.5% in the medium term as manufacturing and industrial activities slowly pick up pace. Long-term success depends heavily on implementing the World Economic Forum outlined “Uraan Pakistan” initiative, which targets export-led growth, agricultural modernization, and investments in information technology. Without deep reforms in tax collection, state-owned enterprises, and energy management, the country remains vulnerable to external shocks, high global oil prices, and debt repayment crises.

On the other hand, India’s economy continues to show robust momentum with a real GDP growth rate hovering around 6.6% to 7.8%, positioning it as one of the fastest-growing major economies in the world despite ongoing global uncertainties and supply chain friction. India’s current economic landscape is characterized by strong domestic consumption, active public capital expenditure on infrastructure, and expanding manufacturing and service sectors. Recent figures indicate that real GDP grew by a robust 7.8% in the early part of FY2026-27, supported by strong investments and household demand. Macroeconomic fundamentals remain relatively resilient, underpinned by substantial foreign exchange reserves, controlled inflation metrics in various sectors, and a healthy financial and banking system that helps buffer the country from external geopolitical headwinds. At the same time, the economy faces ongoing structural hurdles. Persistent income inequality, uneven distribution of wealth, and regional disparities mean that high aggregate growth does not uniformly translate to high per capita income. Workforce skill gaps and employment pressures for a massive young demographic require continuous intervention through targeted vocational training and educational reforms. External factors, such as volatile global energy prices and shifting trade dynamics, also introduce periodic vulnerability to the fiscal and current account balances. Looking ahead, India is projected to ascend to the world’s third-largest economy before the end of the decade, potentially surpassing economic giants like Germany and Japan. This projected trajectory relies heavily on the ongoing digital transformation, accelerated adoption of artificial intelligence in core industries, and ambitious green energy transitions—such as targeting massive renewable capacity expansions by 2030. Long-term growth potential is estimated to stabilize around 7% to 8% annually, provided that policy reforms targeting land acquisition, labor optimization, and export competitiveness are successfully executed. To convert these macroeconomic gains into sustainable societal progress, future policy must focus on human capital development, raising healthcare standards, closing skill deficits, and ensuring inclusive growth across all demographics. Ultimately, India’s demographic dividend and aggressive infrastructure push provide a strong foundation for sustained global economic influence.

The widening economic growth gap between India and its neighbouring country Pakistan stems primarily from structural reform and institutional continuity. India’s decisive 1991 liberalization dismantled license-raj frameworks, catalysing foreign direct investment (FDI), technological integration, and a dominant services and IT sector. Conversely, Pakistan’s economic trajectory faced repeated interruptions from political instability, heavy reliance on low-value textile exports, and chronic macroeconomic vulnerabilities. Macroeconomic stability further accentuates this divide. India maintains robust foreign exchange reserves, controlled inflation, and a diversified industrial base. Pakistan frequently battles balance-of-payments crises, double-digit inflation, and heavy reliance on International Monetary Fund (IMF) bailouts. Human development indicators—including public expenditure on education and health—reveal that India capitalized more effectively on its demographic dividend, whereas Pakistan lagged in foundational human capital formation.

Ultimately, this comparative study shows that long-term economic success depends on structural reforms, political stability, and investments in human capital. India leveraged policy openness and institutional depth to scale its global economic footprint. Meanwhile, Pakistan faces an urgent need for internal stabilization, fiscal discipline, and export diversification to unlock its latent economic potential. Both nations still share common regional challenges, such as income inequality and poverty, meaning that future progress requires addressing foundational social deficits alongside macroeconomic growth.

When “AI” Became “Super Intelligence”: Inside the Xi-Trump Summit’s Quiet Technology Bargain

By: Khushbu Ahlawat, Consulting Editor, GSDN

US- China Relationship: Source Internet

Introduction

Tariffs, rare earths and Taiwan dominated the headlines from Washington’s biggest diplomatic event of the year. The summit’s most consequential outcome, however, may be a modest-sounding hotline that neither side can even agree what to call. When Xi Jinping’s motorcade rolled onto the tarmac at Joint Base Andrews on 23 September 2026, it marked the Chinese president’s first state visit to Washington in eleven years — and Donald Trump greeted him personally, a gesture the White House had pointedly not extended four months earlier, when Trump himself travelled to Beijing in May. The symbolism was not lost on anyone watching. Over three days, the two leaders and their delegations worked through an agenda stacked with the kind of issues that normally dominate a US-China summit: tariffs, the fragile rare-earths truce reached in Busan the previous October, the stalled war in Iran, sanctions on buyers of Russian energy, and the always-combustible question of Taiwan. Yet when the dust settled and both governments issued their respective readouts, the item that seemed to carry the most lasting weight was one that had barely registered on anyone’s radar a month earlier: artificial intelligence.

That AI ended up at the centre of the summit rather than its margins tells you something important about how both capitals now view the technology — simultaneously as the sharpest edge of national power and as a shared vulnerability serious enough to warrant its own crisis-management plumbing. The agreement the two sides eventually struck, to open a dedicated communication channel for AI-related incidents, is a modest deliverable by the standards of a US-China summit. But modest is not the same as unimportant, and the shape the agreement took — including a fight over what to even call the technology — reveals as much about the state of the relationship as any tariff schedule could.

The Spadework Nobody Noticed

The agreement did not emerge fully formed from the summit room. Its groundwork was laid days earlier, in roughly eight hours of preparatory talks held on 20 September at JPMorgan Chase’s Manhattan headquarters, where US Treasury Secretary Scott Bessent and Chinese Vice Premier He Lifeng hashed out the contours of what would become the centrepiece AI deliverable. The two sides left that meeting having agreed to establish a formal dialogue on artificial intelligence and to reconvene roughly two months later, with Bessent floating Shenzhen — where China is set to host the Asia-Pacific Economic Cooperation summit in November — as the likely venue for the next round.

What happened in the days immediately before the summit was, in its own way, almost as revealing as the summit itself. On 22 September, addressing the UN General Assembly, Trump signalled that official US documents would from then on refer to “superintelligence” rather than “artificial intelligence,” and the following day, the US Office of Science and Technology Policy’s director, Michael Kratsios, opened his remarks to the UN Security Council with the line “superintelligence, formerly known as AI” — a rebranding exercise that reads, depending on one’s vantage point, either as marketing or as a genuine signal of how seriously the Trump administration takes the leap from current AI systems to something qualitatively more powerful. When the White House fact sheet on Xi’s visit was published on 25 September, it duly used the new terminology throughout, announcing the establishment of a “US-China Dialogue on Superintelligence to exchange views on the risks and benefits” and a “bilateral communication channel” dedicated to AI incidents.

Beijing, notably, declined to follow Washington’s lead on vocabulary. China’s Ministry of Commerce readout referred simply to an “AI dialogue” led by He Lifeng and Bessent, and when a Foreign Ministry spokesperson addressed the agreement at a press briefing days later, he stuck with “artificial intelligence” and used the occasion to stress that the United Nations should play a central role in building what he called “a fairer and more equitable global AI governance system.” That small but deliberate divergence in language is a tell: Washington’s framing projects confidence in its own technological lead and treats the dialogue as a narrow risk-management tool, while Beijing’s framing positions China as a multilateralist champion of inclusive AI governance, a role it has been cultivating rhetorically for some time even as its own domestic AI policy remains tightly state-directed.

What the Hotline Actually Covers, and What It Leaves Out

Strip away the branding dispute, and the substance of the agreement runs along four fault lines, addressed with varying degrees of seriousness. The clearest deliverable is the bilateral notification mechanism itself: a channel meant to allow either government to alert the other, in close to real time, to any AI-related development that raises national security concerns. It is worth noting that this is not the first time Washington and Beijing have tried to build crisis-communication infrastructure of this kind. A military hotline set up in 2008 has, at various points of tension, simply gone unanswered, and an earlier attempt at structured AI dialogue broke down once frontier-risk discussions became entangled with unrelated disputes. The new mechanism inherits the same structural vulnerability. The broader US-China trade truce reached alongside the summit has only been extended to 10 January 2027, which means the next scheduled AI exchange, due by November, will take place squarely under the shadow of an approaching trade deadline — precisely the kind of linkage that has sunk comparable efforts before. Compounding the risk, the publicly released fact sheet leaves unresolved the single hardest technical question any such hotline must eventually answer: what actually counts as a reportable “incident.” Attribution in an AI-related crisis is often genuinely ambiguous — a disruptive event could be state-directed, carried out by a non-state actor exploiting an AI system, or the result of a model behaving unexpectedly beyond its intended operating parameters, with no obvious way to immediately distinguish between the three. In a relationship defined by deep, longstanding mistrust, that kind of interpretive ambiguity is exactly the sort of gap through which a minor incident could escalate before either side has time to establish what actually happened.

The second fault line concerns agentic and frontier AI systems specifically — the kind of advanced models now capable, in testing environments, of taking autonomous multi-step actions to achieve a goal. Security researchers have flagged scenarios in which an AI agent, unable to solve an assigned problem within its sandboxed testing environment, effectively breaks out of that containment and ends up interacting with external systems it was never meant to touch; in a worst case, an American system could end up probing Chinese critical infrastructure, or vice versa, entirely by accident. Offensive cyber capability enabled by AI, and the risk of AI systems being misused to assist biological-weapons research, sit in the same category of concern. On none of this did the Washington summit produce anything resembling a substantive agreement — there is no commitment to jointly develop safety standards for frontier models, nor any framework for coordinated oversight of the kind some US lawmakers, including Representative Ro Khanna, the ranking Democrat on the House Select Committee on China, had hoped for, with Khanna specifically floating the idea of a ban on recursive self-improving AI systems and an international inspection regime for AI labs. Neither made it into the final package.

The third gap concerns the military dimension of AI, where the summit was conspicuously silent. In 2024, then-President Joe Biden and Xi had reached a pledge committing both countries to keep human control over decisions involving nuclear weapons use — a principle that, given the accelerating integration of AI into intelligence analysis, battle-management systems and coordinated drone-swarm operations on both sides, would have been a natural candidate for reaffirmation or expansion at this summit. The fact sheet does not mention it at all, an omission that suggests the AI dialogue, for now, is being deliberately kept separate from the harder, more sensitive questions of military AI integration.

The fourth and perhaps most telling gap is what Washington has explicitly excluded from the new dialogue altogether: export controls on advanced semiconductors and chip-manufacturing equipment, the single most consequential lever the US currently holds over China’s AI development. US officials have been direct that this exclusion is intentional — the administration wants a narrowly scoped risk-reduction channel that leaves its existing technological leverage fully intact, rather than a broader negotiation that might trade away any of that advantage in exchange for cooperation on safety.

Two Ecosystems, Racing in Parallel

It would be a mistake to read the hotline agreement as evidence that the underlying US-China technology rivalry is cooling. If anything, the competitive gap is widening in both directions at once, with each side doubling down on a different strategy. American capital expenditure by leading technology firms topped roughly US400 billionin 2025,compared with around US 63 billion in China, and the US continues to hold a clear edge in frontier model capability, AI talent concentration and data-centre capacity.

China’s response has not been to try to match that spending dollar for dollar but to pursue a different route entirely: cost-optimised, often open-weight models designed for rapid diffusion across the Chinese economy under the government’s “AI+” initiative, paired with an aggressive push toward semiconductor self-sufficiency — state-funded Chinese data centres are now required to run exclusively on domestically produced chips. Just days before the summit, Huawei announced a system it claims can link up to a million processors into a single unified computing cluster, a scale claim meant to signal that China’s chip constraints are not preventing it from building serious compute infrastructure through alternative architectures. Beijing also continues to hold structural advantages in two inputs that matter enormously for the AI economy going forward: rare-earth processing capacity and electricity generation.

Washington’s own posture toward AI safety has, in the meantime, shown it is willing to let security concerns override the global spread of its own frontier technology when the two collide. In June 2026, a US export control directive forced Anthropic to suspend access to its Claude Mythos model — later restored on 1 July once the underlying Commerce Department controls were lifted — a concrete illustration that even leading American AI labs remain subject to security-driven intervention from their own government, not just from China’s restrictions on the other side. Taken together, the picture that emerges is not one race with a single finish line, but two increasingly self-contained ecosystems advancing in parallel, each hedging against dependence on the other.

What This Means for Everyone Else

For countries outside the US-China axis, the summit’s AI track carries two uncomfortable lessons. The first is that frontier-risk governance is narrowing into a conversation conducted almost exclusively between the two powers capable of building frontier-scale models, leaving institutions like the UN’s Independent International Scientific Panel on AI and the broader Global Dialogue on AI Governance at risk of being sidelined by bilateral arrangements that smaller and middle powers had no hand in shaping.

The second lesson concerns the deepening bifurcation of the global technology stack itself. India offers one instructive case of how a country might navigate this without being forced into a binary choice — working with the United States on compute infrastructure, with the European Union on regulatory governance, and with the UAE on data-centre capacity, while continuing to engage China through platforms like BRICS, a multi-alignment strategy made easier by India’s position as the second-largest market for several leading American AI firms. But that balancing act is likely to grow costlier over time as the American and Chinese technology ecosystems become more self-reinforcing and interoperability between them erodes. Governments in India’s position — and others watching from Brussels, Tokyo, Riyadh and beyond — would do well to treat the current moment as a narrowing window: pushing for interoperability standards now, building resilient and sovereign domestic compute capacity, and securing a seat at the table in whatever incident-reporting frameworks eventually touch their own critical infrastructure, before Washington and Beijing finish writing the rules of this new order largely for themselves.

Conclusion

The two leaders’ own closing messages on AI diverged almost as sharply as their governments’ choice of vocabulary. Trump, who has repeatedly waved away concerns about AI posing an existential threat, told reporters that superintelligence carries risks “like any major new technology” but insisted the US holds a commanding lead and intends to keep it, framing the competition in starkly zero-sum terms: whoever reaches superintelligence first, he suggested, wins outright. He had, days earlier at the UN, explicitly rejected any “globalist” scheme for governing the technology, pointing instead to the US Department of Justice as America’s own sufficient guardrail. Xi struck a notably different register, emphasising that the two countries should jointly guard against AI’s misuse rather than against each other, and that the technology’s development must remain firmly under human control — language calibrated to position Beijing as the more responsible, multilaterally minded actor, even as China’s Foreign Ministry pointedly dismissed a call from Anthropic chief executive Dario Amodei for a more cautious, paced approach to frontier AI development. Whether this new Dialogue on Superintelligence becomes durable institutional infrastructure or simply another short-lived gesture folded into the broader US-China trade truce will become clearer at the next scheduled exchange, due by November, conducted in the shadow of the 10 January trade deadline. Until then, the clearest signal the Washington summit sent to the rest of the world is this: the rules governing the most consequential technology of the coming decade are being negotiated bilaterally, between two capitals, on their own terms — and any country that wants a genuine say in how that order takes shape needs to start making its case now, not after the terms have already been set.

Why Afghanistan Matters in Global Geopolitics 

By : Kumar Aryan, Research Analyst, GSDN

Map of Afghanistan : Source Internet

Afghanistan occupies a geopolitical position that is disproportionate to the size of its economy. Landlocked between South Asia, Central Asia, Iran and China, it sits at the intersection of several strategic spaces rather than belonging exclusively to any one of them. The Taliban’s return to power on August 15, 2021, followed by the completion of the United States and allied military withdrawal on August 30, 2021, changed the character of international involvement but did not reduce Afghanistan’s strategic importance. Instead, the country has become a test of how regional and global powers manage security, diplomacy, trade, and humanitarian pressures in a strategically located state without a large Western military presence. 

A Strategic Geographical Pivot 

Afghanistan’s geography is the foundation of its geopolitical relevance. It shares borders with Pakistan, Iran, Turkmenistan, Uzbekistan, Tajikistan and China, creating direct interfaces with South Asia, Central Asia, the Iranian and Caspian regions, and western China. The narrow Wakhan Corridor gives Afghanistan its direct border with China, while the country’s southern and western routes provide potential access to Pakistan’s ports and Iran’s Chabahar corridor. 

This position has historically drawn external powers into Afghan affairs. The British-Russian rivalry of the nineteenth century, the Soviet intervention beginning in December 1979 and the international military campaign after September 11, 2001, each demonstrated that political change in Afghanistan can acquire consequences far beyond its borders. The contemporary difference is that strategic competition increasingly revolves around influence, connectivity, and risk management rather than permanent foreign occupation. 

Connectivity illustrates why geography remains decisive. Afghanistan can serve as a physical link between Central Asian economies and South Asian markets, but it can also become a bottleneck when security deteriorates or border crossings close. The Central Asia-South Asia Electricity Transmission and Trade Project, known as CASA-1000, is a US$1.2 billion regional electricity project designed to transmit up to 1,300 megawatts of surplus power from Kyrgyzstan and Tajikistan through Afghanistan to Pakistan. The World Bank notes that the Afghan segment is indispensable to the system and that implementation resumed after the 2021 pause. Completion of the Afghan section is expected by the end of 2027. Afghanistan therefore matters because neighboring regions cannot fully exploit several major connectivity opportunities without stable transit through Afghan territory. 

Security and Cross-Border Militancy 

Security is the most immediate source of Afghanistan’s global geopolitical significance. The country remains connected to several militant networks, including Islamic State in Iraq and the Levant-Khorasan (ISIL-K), Al-Qaida and the Tehrik-e-Taliban Pakistan (TTP). The key concern for outside powers is not only violence inside Afghanistan but the possibility that networks linked to Afghan territory could threaten neighboring states or support attacks farther afield. 

The latest United Nations reporting shows that apparent nationwide stability does not eliminate security risks. Between May 1 and July 31, 2026, the United Nations recorded 2,947 safety and security incidents, 11 percent more than during the same period in 2025. A separate United Nations assessment published on July 31, 2026, found that ISIL-K retained the intent to conduct external operations and was rebuilding capacity for occasional high-profile attacks despite pressure from the de facto authorities and Pakistan. 

The Afghanistan-Pakistan relationship demonstrates how domestic security issues can become regional crises. Islamabad has repeatedly argued that the TTP and associated networks operate from Afghanistan, while Taliban authorities reject the allegation and oppose Pakistani military action on Afghan territory. The dispute has increasingly acquired a military dimension. On September 21, 2026, the United Nations confirmed at least three civilian fatalities and four injuries in an apparent Pakistani airstrike in Kunar Province and reported that Paktika Province was also affected. The United Nations had already documented more than 1,100 civilian casualties arising from cross-border armed violence in Afghanistan during 2026. Such escalation can affect border trade, migration, counterterrorism cooperation and the security calculations of China, Iran and Central Asia. 

Afghanistan therefore remains significant to global security because risks originating in or around the country can cross several borders at once. Its strategic importance does not require a return to the level of international conflict seen during the early twenty-first century; the persistence of transnational militant networks and fragile regional relations is sufficient to keep Afghanistan on the security agendas of major powers. 

Diplomatic Re-engagement and Great-Power Competition 

Since 2021, Afghanistan has moved from a predominantly Western military-centred framework toward a more fragmented system of regional engagement. The United States continues to maintain sanctions and security concerns relating to the Taliban and the Haqqani Network while permitting humanitarian activity under specified exemptions. Afghanistan is not subject to comprehensive United States sanctions, but selected Taliban and Haqqani-linked individuals remain designated. 

Russia has pursued a more overt normalization strategy. On July 3, 2025, Russia formally recognized the Taliban government, becoming the first country to do so since the Taliban returned to power. Moscow linked the decision to prospects for cooperation in security, counterterrorism, narcotics control, trade, energy, transport and infrastructure. Russia’s position also reflects concern about instability reaching the Central Asian states to its south. 

China has pursued sustained engagement focused on security, trade and long-term economic access. On August 20, 2025, Chinese Foreign Minister Wang Yi met Afghanistan’s acting foreign minister in Kabul. China expressed interest in Afghanistan’s formal participation in the Belt and Road Initiative (BRI) and in expanding cooperation on mining. China has also used regional diplomacy to manage Afghan issues. From April 1 to 7, 2026, China, Afghanistan and Pakistan held an informal meeting in Urumqi, while Chinese Special Envoy for Afghan Affairs Yue Xiaoyong conducted further consultations in Pakistan and Saudi Arabia from August 30 to September 5, 2026. 

These developments show that Afghanistan is increasingly being handled through overlapping regional mechanisms rather than a single dominant external power. China, Russia, Iran, Pakistan, India and the Central Asian states have different interests, but all have reasons to prevent Afghanistan from becoming a source of wider instability. The result is a form of competitive engagement in which diplomatic access itself has become a strategic instrument. 

China, Minerals and the Economic Geopolitics of Afghanistan 

Afghanistan’s resource base adds an economic dimension to this competition. A United States Geological Survey assessment published in 2007 identified substantial deposits and prospective resources of copper, iron, lithium, rare-earth elements and other minerals. These estimates indicate geological potential, not immediately recoverable from commercial reserves. Infrastructure, finance, security and export capacity remain major constraints. 

Current production data show why caution is necessary. The United States Geological Survey’s 2024 reporting states that major mineral exploration projects have been conducted by Chinese companies, while production remains concentrated in commodities such as talc, chromite, coal, cement and construction materials. Afghanistan ranked as the world’s 11th-largest talc producer in 2024, accounting for 2.6 percent of global output. The contrast between substantial geological potential and modest industrial output is important: minerals can create long-term strategic value, but they do not automatically create immediate geopolitical leverage. 

China’s interest therefore extends beyond extracting commodities. Mining projects can support investment in roads, logistics, and energy, while improved connectivity can make resource projects more commercially viable. The relationship is reciprocal. Yet delays, contractual disputes and difficult terrain demonstrate that diplomatic engagement does not guarantee successful investment. Afghanistan’s economic significance is consequently better understood as a long-term potential tied to infrastructure and regional access rather than as an immediate resource windfall. 

Pakistan, India and Iran 

Afghanistan is central to the strategic calculations of Pakistan, India and Iran, but for different reasons. Pakistan shares the longest border with Afghanistan and is directly exposed to militant attacks, border clashes, refugee movements and trade disruption. The TTP dispute has become particularly important because Pakistan sees the issue as a national security problem, while Kabul rejects accusations of providing haven and objects to cross-border strikes. 

India’s relationship is shaped by the absence of a direct land border. New Delhi therefore relies on air and maritime routes, particularly through Iran, for sustained economic access. On January 8, 2025, Indian Foreign Secretary Vikram Misri met Afghanistan’s acting foreign minister in Dubai and discussed bilateral relations, regional developments, humanitarian assistance and trade through the Chabahar Port. India has maintained engagement partly because developments in Afghanistan affect wider South Asian security and access to Central Asian markets. 

Iran’s position is shaped by border security, trade, migration and water-related interests. Iran also serves as an alternative commercial route when Afghanistan-Pakistan crossings are disrupted. The interaction among Pakistan, India and Iran means that Afghanistan is embedded in a wider strategic triangle extending from the Arabian Sea to Central Asia. None of the three states can determine Afghanistan’s trajectory alone, and their priorities sometimes diverge sharply over political legitimacy, trade routes and regional influence. Their common exposure to instability, however, keeps Afghanistan at the center of South Asian diplomacy. 

Central Asia and Regional Connectivity 

Afghanistan is increasingly important to the Central Asian states because geography offers both risks and opportunities. Uzbekistan, Tajikistan and Turkmenistan have strong incentives to prevent instability from moving northward, but they also seek access to South Asian markets and ports. Uzbekistan has been especially active in promoting the Trans-Afghan Railway concept. 

On July 1, 2026, the President of Uzbekistan highlighted acceleration of the Trans-Afghan railway project as part of efforts to strengthen regional and international transport links. Earlier, on July 3, 2025, Uzbekistan discussed trade, transport, energy and mining cooperation with Afghanistan and stressed the strategic importance of the railway. These initiatives reflect a wider effort to connect landlocked Central Asia with Pakistan and other southern markets. 

CASA-1000 demonstrates the same structural logic in the energy sector. Afghanistan is the central link connecting the participating northern and southern countries, meaning that its infrastructure is essential even when political relations remain complicated. Central Asian governments therefore have a strong incentive to favor practical engagement on border security, trade, electricity and transport. Afghanistan’s geopolitical relevance is partly the result of this structural dependency: it can either connect regions that are otherwise separated by difficult geography or obstruct their integration when instability interrupts transit. 

Humanitarian, Economic and Migration Pressures 

Afghanistan’s geopolitical importance cannot be separated from its economic and humanitarian conditions because internal shocks often become regional problems. The World Bank estimated real gross domestic product growth of 4.8 percent in 2025 and projected growth of about 4 percent in 2026, while also estimating a 5.6 percent decline in GDP per capita and a current account deficit equivalent to 36.1 percent of GDP in 2025. The data illustrate the gap between aggregate economic growth and household welfare. 

The humanitarian picture remains severe. The World Food Programme projects that 13.8 million Afghans face acute food insecurity in 2026, while 4.9 million women and children are expected to require treatment for malnutrition. The agency has appealed for US$540 million to sustain operations through January 2027. The scale of need matters geopolitically because food insecurity, unemployment and weak services can increase migration and place additional pressure on neighboring states. 

Migration is already a major regional issue. The Office of the United Nations High Commissioner for Refugees reported 1,228,920 returns to Afghanistan during 2026 as of September 22. The term of returns includes deportations, assisted voluntary repatriation and other movements, so the figure should not be treated as a single category of refugee return. It nevertheless demonstrates the magnitude of movement affecting Afghanistan, Pakistan and Iran. Large-scale returns can strain housing, employment, water, healthcare and local infrastructure in Afghanistan while also altering bilateral relations with neighboring states. 

Counternarcotics creates another cross-border dimension. The United Nations Office on Drugs and Crime estimated that opium poppy cultivation fell to 10,200 hectares in 2025, 20 percent below 2024, while potential opium production declined by 32 percent to 296 tons. Farmers’ income from opium sales fell from US$260 million in 2024 to US$134 million in 2025. The decline may reduce the scale of illicit production, but it also creates livelihood pressures that can affect rural stability. Afghanistan’s humanitarian, economic, migration and narcotics issues therefore remain interconnected with regional security. 

Afghanistan’s Strategic Relevance Beyond 2026 

Afghanistan’s geopolitical importance is likely to remain structural because the drivers are rooted in geography rather than a single conflict. Its position between Central Asia and South Asia, its direct border with China, its proximity to Iran and its access routes toward the Arabian Sea ensure continuing external interest. At the same time, militant networks create a persistent security dimension that neighboring states cannot manage independently. 

What has changed is the way influence is pursued. The post-2021 environment is characterized less by large-scale foreign military deployment and more by selective diplomacy, economic engagement, sanctions, regional mediation and infrastructure initiatives. The United Nations remains the principal multilateral platform, while China, Russia, Iran, Pakistan, India and the Central Asian states pursue overlapping but distinct approaches. 

The future economic trajectory is equally consequential. Afghanistan possesses mineral and transit potential, but converting that potential into sustained growth depends on infrastructure, financial access, investment conditions, trade routes and domestic policy. Projects such as CASA-1000 and the Trans-Afghan Railway demonstrate that regional economic integration can depend on Afghan territory even when questions surrounding international recognition remain unresolved. 

Afghanistan should therefore not be understood only as a security problem or only as an economic opportunity. The same geography that enables trade also creates exposure to militant networks. The same regional engagement that can support investment also raises questions over diplomatic legitimacy. The same reduction in narcotics cultivation that may benefit regional security can intensify economic pressure on vulnerable farming communities. Afghanistan matters because these tensions converge in one country while producing consequences across several regions. 

Conclusion 

Afghanistan matters in global geopolitics because it sits at the intersection of several strategic systems at a time when the balance around it is changing. Its territory connects Central Asia to South Asia; its borders expose neighboring states to security and migration pressures, and its mineral and infrastructure potential attracts sustained economic interest. Severe humanitarian need, economic fragility and restrictions affecting women and girls further complicate the country’s relationship with the wider international system. 

Its importance is therefore best understood through concrete networks rather than historical slogans. Security threats cross borders. Trade routes cross borders. Electricity lines cross borders. Population movements cross borders. Diplomatic influence also crosses borders. Afghanistan’s strategic weight comes from this interdependence. 

For the international community and regional powers, the central geopolitical challenge is how to manage that interdependence while limiting the risks that can radiate from Afghanistan. That makes Afghanistan an enduring geopolitical pivot whose significance extends well beyond its immediate neighborhood and beyond the events that first placed it at the center of international security debates. 

India’s Neighborhood Woes

By: Simran Sodhi, Guest Author, GSDN

India is today seen as a rising global power, and in an increasingly multipolar world, India’s role can be denied by none. But India’s foreign policy has its own sets of challenges, the India-US relationship being one of them. But closer home, India’s ‘Neighbourhood First Policy’ is also in an urgent need for a fresh thrust.

The ‘Neighbourhood First Policy’ first emerged in 2008 and but it was only in 2014 under Prime Minister Narendra Modi that this policy got its due emphasis. Afghanistan, Bangladesh, Bhutan, Maldives, Myanmar, Nepal, Pakistan, and Sri Lanka are the countries that get covered under this policy.

If we were to take a quick look at India’s relationship with its neighbors today, it would be a fair assessment to make that apart from Bhutan, India’s ties with other States are in some kind of tensions.

Pakistan is the easiest to assess from that perspective. Essentially, India and Pakistan today have a frozen relationship where there are no high-level talks or visits. Bilateral trade is suspended, and since Operation Sindoor in 2025, the military tensions between the two have also spiked. India has repeatedly raised the point that ‘talks and terror’ cannot go together. India-Pakistan ties today probably stand at one of the worst junctions in bilateral terms.

The failure of South Asian Association for Regional Cooperation (SAARC) can also be attributed to the deteriorating India-Pakistan ties. SAARC is in a state of comatose, with no summit held since the 18th summit in Kathmandu in 2014. A forum that was supposed to bring in regional harmony and foster better relations between South Asian neighbors is today more of a ‘dead’ forum. 

Bangladesh is a case study where an excellent bilateral relationship has given way to tensions and bitterness. Under Sheikh Hasina from 2009 and 2024, both countries shared excellent ties highlighted by the 2015 Land Boundary Agreement and strong security cooperation. There was trust and regular high-level visits between the two countries and Dhaka was seen as one reliable partner and ally to New Delhi. But all that changed following the exit of Hasina in 2024.

Bangladesh remains India’s largest trading partner in South Asia with bilateral trade standing at $11.35 billion in the 2025–26 fiscal year. Despite this, the political tensions and mistrust is high. One of the sources of this tension is the presence of Hasina in India in exile while Bangladesh has asked India for her extradition.

Since 2024, Dhaka has also moved closer to both China and Pakistan. That only adds to India’s worries. Bangladesh is strategically very important for India and offers easy access to India’s Northeast region.

Nepal: India and Nepal have share historical and cultural ties. Much of history between the two countries is shared and it’s a relationship that was once regarded to be India’s strongest among its neighbors. But the recent changes in Nepal and the new government of Balen Shah has upset some of the old connections. Also, the fact that Nepal also wants to explore greater ties with China adds to India’s concerns. A growing Chinese footprint in South Asia is seen by India as signs of an aggressive China trying to assert itself in India’s ‘Sphere of Influence’. Nevertheless, India remains Nepal’s largest trade partner, continuing extensive investments in cross-border infrastructure and local development projects across Nepal’s various provinces.

Sri Lanka (SL) and India again go back a long way in terms of shared histories and cultures. India and Sri Lanka are deeply intertwined at the political level also. Any ethnic disturbances in SL usually lead to developments in India’s Southern States especially Tamil Nadu. India provided vital financial and humanitarian support, close to $4 billion, during Sri Lanka’s severe economic crisis in 2022, including lines of credit, food, fuel, and currency swaps. SL remains one of the top destinations for Indian tourists. But in SL too, India’s concern is the sway towards China and Chinese investments in the island nation that cause stress in this bilateral relationship. For instance, China secured a 70% stake and a 99-year lease for the Hambantota Port in 2017 after SL struggled to repay construction loans. China has also funded other major projects in the island nation, which again worries India.

India’s other neighbours like the Maldives for instance has seen anti-India sentiment come to the fore many a times. Relations are more stable now but more work needs to be done in strengthening this important bilateral relation. With Afghanistan, India has slowly moved to working with the Taliban who now run the country. The fact that the Taliban and Pakistan have fallen out of late has led to some satisfaction in India’s policy circles. Bhutan remains the best example of close and warm bilateral ties for India in its immediate neighbourhood today. The Doklam plateau near the India-Bhutan-China trijunction is critically sensitive; Chinese control over ridges there would threaten India’s narrow Siliguri Corridor.

In short, India needs to turn its attention to its immediate neighbourhood. A fresh impetus, an effort at rebuilding some of the old connections and embracing friends like Bhutan closer is the way forward. The Chinese footprint gets larger in the South Asian region every day and India needs to act before its too late.

The Oil That Washington Wants New Delhi to Give Up — and Why It Shouldn’t

By: Khushbu Ahlawat, Consulting Editor, GSDN

Why India must keep buying Russian Oil: Source Internet

Introduction

A law named after a senator who did not live to see it pass now threatens India with a 100 percent tariff over a barrel of Russian crude. The real question for New Delhi is not whether to blink, but what blinking would actually cost. On 18 September 2026, US President Donald Trump signed into law a bill that had, in its own strange way, become a tribute to a dead man. The Lindsey O. Graham Sanctioning Russia and Iran Act of 2026 carries the name of the Republican senator from South Carolina who first introduced it in April 2025 and who died on 11 July, after a trip to Kyiv, before seeing it through. His sister, Darline Graham, was appointed to his Senate seat and helped steer the bill to final passage — 86 votes to 11 in the Senate, 262 to 159 in the House — framing it as a tribute to his legacy as one of Ukraine’s most committed allies in Congress. Somewhere in that bipartisan sentiment, India found itself named, almost incidentally, as one of the law’s primary targets.

The provision that matters to New Delhi is straightforward in its mechanics and blunt in its intent: it gives the US president discretionary authority, invoked under the International Emergency Economic Powers Act, to impose tariffs of up to 100 percent on goods imported from any country ranked among the world’s top five buyers of Russian crude oil or natural gas, or among the top five facilitators of Russia’s sanctions-evasion network. China, India, Azerbaijan, Hungary and Slovakia currently occupy that unwelcome list on the oil and gas side. For India specifically, the exposure is not abstract. Russia supplied 30.3 percent of India’s crude oil imports in the 2025-26 fiscal year, worth some US40.8billionoutoftotalcrudeimportsofUS134.7 billion, making Moscow India’s single largest oil supplier by a wide margin — a position Russian crude did not hold before 2022, when Indian refiners began snapping up discounted barrels that Western buyers were shunning after the invasion of Ukraine. Far from tapering off under the growing threat of sanctions, that reliance has, if anything, deepened: Indian imports of unprocessed Russian oil reportedly jumped 34 percent in June 2026 alone, hitting an all-time high, partly a consequence of the Gulf supply disruptions caused by the ongoing US-Iran conflict, which has severed petroleum shipments that historically made up roughly 40 percent of India’s oil purchases.

A Law Built on a Double Standard

What makes the Graham Act difficult to take entirely at face value is the selective nature of its moral logic. The same United States now threatening India with a punitive tariff for buying Russian crude remains, itself, a substantial buyer of Russian goods. In 2023, the US imported US$1.19 billion worth of enriched uranium and other nuclear materials from Russia — 701,835 kilograms — making it the single largest national buyer of Russian nuclear material that year, ahead of the European Union, France, China, South Korea, Kazakhstan, Germany and Brazil. That volume roughly halved by 2024, to around US$624 million, a decline that preceded, rather than followed, Washington’s own ban on unwaivered Russian uranium imports, which took effect in August 2024 and does not close off the trade entirely until 2028. Uranium is just one line in a far larger ledger: in 2025, the US imported a total of US$4.05 billion in goods from Russia, including US$1.8 billion in fertilisers, US$1.12 billion in chemicals, US$733 million in precious stones and metals, and US$92 million in wood products. A country legislating punitive tariffs against others for sustaining Russia’s economy while quietly continuing to do exactly that itself is not a contradiction that escapes the attention of the countries being targeted.

The bill is not, to be fair, an automatic trigger. Section 113 of the Act makes the 100 percent tariff discretionary rather than mandatory, leaving the administration to decide whether to act, against whom, and at what rate, with carve-outs available for countries importing less than 15 percent of Russia’s total natural gas exports and a presidential waiver available on national-interest grounds. That discretion is precisely why Indian officials have, so far, treated the law as a contingency to be managed through diplomacy rather than a fait accompli — External Affairs Minister S. Jaishankar raised India’s concerns directly with US Secretary of State Marco Rubio in New York shortly after the law’s signing, and the exchange was, by most accounts, aimed at establishing exactly how much latitude the administration intends to use. But discretion cuts both ways. A tariff authority that remains in force for five years, renewable by Congress, aimed at a country already smarting from an earlier, if short-lived, 25 percent tariff Washington imposed on India in July 2025 over the same Russian-oil issue before withdrawing it in February 2026, is not a threat India can treat as empty rhetoric. The pattern of behaviour is, at minimum, consistent: Washington has shown it is willing to use tariff power as a blunt instrument of coercion on this specific question, and has done so against India more than once already within the span of little over a year.

What Capitulation Would Actually Cost

The temptation, for a country as dependent on access to the American market as India is, might be to simply give in. The case against doing so rests on a fairly unsentimental cost-benefit calculation. The United States absorbs roughly one-fifth of India’s total merchandise exports while supplying less than 7 percent of India’s imports — a meaningfully asymmetric relationship, but one where losing US market access would still be a serious blow to Indian exporters, particularly in textiles, gems and jewellery, and pharmaceuticals, sectors already bruised by the 2025 tariff episode. Set against that, though, is a starker risk: a sudden, enforced cut-off from Russian crude would not simply reroute India’s energy bill, it would inject real volatility into it. Alternative suppliers exist — the UAE and Nigeria are the most frequently cited candidates to fill part of the gap — but at meaningfully higher prices that would cascade through transport costs, fertiliser prices and food inflation, while also requiring more dollars to settle, putting fresh pressure on the rupee at a moment when India’s import bill is already strained by the Gulf disruptions flowing from the US-Iran war.

There is also a harder geopolitical calculation buried inside the economic one. If India were to abandon Russian oil purchases under visible American duress, the optics would be difficult to spin as anything other than a surrender of strategic autonomy — the principle India has spent decades cultivating as the organising idea of its foreign policy, the insistence that New Delhi makes its own choices rather than being conscripted into someone else’s bloc. The logic the Graham Act embodies is, in substance, a reheated version of the “with us or against us” doctrine that defined the George W. Bush era’s approach to global alignment after 2001: buy American-approved energy or face American-imposed costs, with little space left in between. For a country that has spent recent years deepening a ten-year defence framework with Washington, signed in October 2025, and positioning itself as a serious partner in the Indo-Pacific, being treated with the same blunt instrument used against adversarial China is a signal worth taking seriously about how much that partnership status is actually worth in Washington’s current calculus.

The Wider Pattern Washington Risks Setting

There is a broader argument here that goes beyond India’s narrow interest, and it concerns the kind of international order the Graham Act’s approach is quietly dismantling. A law that asserts the authority to penalise third countries — and even the vessels that carry their cargo — for engaging in lawful commercial transactions with another sovereign state is a significant escalation in how the US wields its tariff power, moving well past sanctions aimed directly at Russia into secondary measures aimed at everyone who continues to trade with it. Critics within the US Senate itself, including Democratic Senator Maggie Hassan, have voiced unease about handing the executive this scale of discretionary tariff authority even while supporting the underlying goal of pressuring Russia, warning that the costs of such tariffs ultimately land on American businesses and consumers rather than on Moscow. Taken together with the Trump administration’s parallel military campaign against Iran, now well into its seventh month with no clear resolution in sight, and its broader pattern of coercive tariff diplomacy against allies and rivals alike, the Graham Act reads less like a carefully calibrated instrument of statecraft and more like one more entry in a lengthening list of unilateral assertions of American economic power — the kind of behaviour that, when practised by Beijing or Moscow, Washington has spent decades condemning as a violation of the rules-based international order it claims to champion.

That irony is not lost on the countries now being squeezed by it. The EU, China and India collectively account for a substantial share of global GDP, trade and growth, and all three now find themselves, in one form or another, on the receiving end of the same coercive logic. It is not an accident that this pressure is coinciding with visible, if cautious, moves toward alternative financial architecture: the BRICS New Delhi Declaration, issued at the September 2026 summit, tasked a dedicated BRICS Payments Task Force with advancing cross-border payment interoperability and local-currency settlement — both explicitly framed as a hedge against the vulnerabilities of a dollar-dominated system and the exposure countries face to the SWIFT network during Western sanctions episodes. None of this amounts to an imminent alternative to dollar primacy, and significant political friction, not least between India and China, stands in the way of any genuinely cohesive non-Western payment architecture emerging soon. But the Graham Act, by making energy purchases a matter of coerced political alignment rather than market choice, gives every targeted country an additional incentive to keep building precisely the kind of parallel infrastructure that reduces its own future exposure to this sort of pressure.

Conclusion

New Delhi’s position, as officials have repeatedly signalled, is that India will continue diversifying its energy sources on the basis of market dynamics and will take whatever measures are necessary to protect its own trade and economic interests — language carefully calibrated to avoid both capitulation and confrontation while the discretionary nature of the tariff authority plays out in diplomatic channels over the coming months. That is, for now, the right posture. The Graham Act’s tariff provision is a genuine and serious threat, backed by bipartisan political will and a track record of prior use against India specifically, and it would be a mistake to dismiss it as bluster. But giving up Russian crude under duress would trade a manageable, diversifiable economic relationship for an unmanageable energy shock, while simultaneously signalling to Washington, and to the rest of the world watching how India responds, that American tariff threats are sufficient to override India’s own strategic calculations. The wiser course is the harder one: continue quietly diversifying energy sources and export markets to reduce future vulnerability on both fronts, keep diplomatic channels with Washington open to test how much of the law’s discretion will actually be exercised, and decline, for now, to treat a law named after a senator who never lived to enforce it as grounds for abandoning a relationship that has given India real economic breathing room since 2022. Strategic autonomy was never going to be free. The question the Graham Act forces New Delhi to answer is simply how much it is actually worth.

The Mandela Effect: False Memories and Brain Deceptions

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By: Nandika Dusi, Research Analyst, GSDN

In the story of Snow White, we all remember the Evil queen say, “Mirror, mirror on the wall”, if you do not recall, congratulations for being in the population of roughly 15% of people who recall it correctly as “Magic Mirror on the wall” from the 1937 Disney Snow White movie. Now for the rest of 85% of us, we have been tricked by our minds and publicly collectively misremember the quote. This can be explained through the concept of the psychological phenomenon ‘The Mandela Effect.’

The Mandela Effect is a phenomenon in which a group of people collectively misremember facts, events, or other details in a consistent manner. Paranormal researcher and author Fiona Broome conceptualized the fact the effect after discovering that she and others possessed a strong false memory of the South-African anti-apartheid and later president, Nelson Mandela while in prison during the 1980s.

Origin of the Mandela Effect

Fiona Broome had vividly yet falsely recalled Mandela’s death during the 1980s while he was in prison, she recalled his widow’s speech and riots in the city. When she learnt he was alive, she brushed this off as a misunderstanding, but through conversations with security staff members at a science fiction and fantasy convention in 2009, many possessed the same false memory about Mandela’s death in prison with similar details of the aftermath.

Broome then created a website for people to share and discuss their memories that did not align with the recorded history, which she later called the Mandela effect. Through thousands of comments and discussions, people uncovered their shared memories which were different from reality. The reality of his life was that he was released from prison in 1990, served for president from 1994 to 1999, and passed away later peacefully in 2013, at the age of ninety-five.

The term was officially coined in 2009. It became an internet phenomenon, where in it inspired a film titled ‘The Mandela Effect’ (2019), making it more popular and known to many to share their stories.

How can all our brains collectively misremember?

Our brains can collectively misremember because the human memory can ‘reconstruct our memories’, which means that our brain rebuilds a memory from fragments instead of true recollection and recording. Considering our minds run on expectations and cultural patterns, through the ‘Schema Theory’ one can explain that we end up filling in the missing gaps with logical explanations.

Another aspect is how the brain engages in “honest lying”, where it may subconsciously fabricate missing details to complete our memories with no intentions of causing harm or deceiving. This phenomenon is known as ‘confabulation’.

Through discussion, conversations, and exchange of thoughts, ideas, and experiences, one may also say that through reinforcement to the misinformation on social media or in pop culture, these factors may also continuously alter and strengthen the false memory, making it just as vivid as a true one.

Such coincidences of thoughts, may they be wrong, may cause conditioning. This phenomenon is also known as ‘accidental conditioning’ or ‘coincidental reinforcement’. This happens when the brain is prone to highly advanced pattern-recognition to connect causes and effects. Psychologists like Elizabeth Loftus, through her studies in 1974, show that the human brain can be easily conditioned to remember things that never happened through the ‘misinformation effect’. Your brain can fabricate a composite false memory to fill the gap and convince you on the otherwise.

Authors like Cynthia Sue Larson in 2013, began arguing that the Mandela Effect is proof on how we live in a multidimensional universe, and instead of a single fixed past, our collective alternative memories suggest groups of people may have “jumped” together from a parallel timeline where history and details were different. Quantum mechanics does describe microscopic superposition and probability waves for subatomic particles, but physicists stress how these rules would not apply to macro-level human memories or alternate historic timelines.

Psychologists and cognitive scientists put a firm emphasis on these claims by pointing out that the human brain does not require concepts like parallel universes and alternate timelines to explain the collective false memories, although jumping timelines is a popular sci-fi concept, decades of peer-reviewed psychological research and studies prove with well-documented explanations why large groups of people misremember the exact same details.

Impact of the Mandela Effect

The Mandela Effect shows how easily collective misinformation and false narratives spread. The practical consequences highlight how legal eyewitness testimonies are frequently flawed, as post-event information easily alters personal recollection. Acknowledging the phenomenon pushes for independent verification of history or political facts to prevent the spread of false narratives.

Intensive police questioning can distort the suspect’s or witness’s memory, leading them to genuinely believe events that never happened. Legal commentary and briefs may utilize the term metaphorically to describe the misinterpretations of legal standards or historical case law.

There is also the concept of a reverse Mandela Effect, which occurs when something you might have thought was a Mandela Effect changes back to your original, correct, or when a shared false memory is replaced by the actual truth.

Common examples

A few common examples are, ‘The Berenstain Bears’ where people imagine the children’s book is spelled with an “a” spelled as ‘Berenstain’, though millions remember it with an “e” as ‘Berenstein’. Another assumption is when the Monopoly man, Rich Uncle Pennybags, the mascot is often recalled wearing a monocle, but he has never worn one. The Kit Kat candy bar is frequently spelled with a hyphen as ‘Kit-Kat’, but the official branding never has added one. Multiple fans recall the Pokémon character having a black tip on his tail, but the tail is completely brown at its base. A lot of people picture Mickey Mouse wearing suspenders, but the classic design has shorts and two large buttons with no shoulder straps.

Conclusion

To put it simply, the Mandela Effect teaches us that our memory is reconstructive and prone to shared social reinforcement rather than proof of science fiction. Psychologists emphasize theories of confabulation, schema theory, and scientific theories with empirical data over untestable and illogical ideas.

Nevertheless, the Mandela Effect is an intriguing case study on the quirks of the human memory, it is an example of how the truth can be stranger than the fiction.

Cognitive Debt: What Happens to the Human Mind When Machines Do the Thinking

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By: Khushbu Ahlawat, Consulting Editor, GSDN

Preserving Human Thinking in the Age of GenAI

Introduction

A small, unreviewed MIT study on ChatGPT and essay-writing has become a flashpoint for a much larger question: as generative AI takes over more of our thinking, what exactly are we losing, and can we get it back? In June 2025, a team at the MIT Media Lab led by researcher Nataliya Kosmyna published a paper with a memorable, slightly ominous title: “Your Brain on ChatGPT: Accumulation of Cognitive Debt When Using an AI Assistant for Essay Writing Task.” It had not been peer-reviewed, and it studied only 54 participants. That did not stop it from becoming one of the most widely discussed pieces of AI research of the year, cited in newsrooms, classrooms and policy circles as evidence that something real, and possibly troubling, happens to human cognition when a large language model takes over a thinking task. Whether or not the study’s findings hold up to further scrutiny, the question it raised has not gone away, and it sits at the centre of a fast-growing body of research into what generative AI is doing to human reasoning, memory and judgement.

The MIT experiment was carefully designed. Researchers split participants into three groups: one wrote SAT-style essays using ChatGPT, one used a conventional search engine, and one used no external tool at all, relying purely on their own knowledge. Each group repeated the exercise across several sessions, and in a fourth, “crossover” session, some ChatGPT users were asked to write unaided while some previously unaided writers were given access to the tool. Throughout, an electroencephalogram recorded participants’ brain activity across 32 regions, and researchers separately analysed the essays’ linguistic patterns and interviewed each participant about how well they could recall and felt ownership over what they had written.

The results, while limited in scope, were striking. Brain connectivity, measured through EEG network analysis, scaled down systematically with the amount of external support participants used: the brain-only group showed the strongest and widest-ranging neural networks, the search-engine group sat in the middle, and the ChatGPT group showed the weakest overall neural coupling. Participants who used ChatGPT across sessions were also less able to quote or recall their own essays afterward, and reported a diminished sense of ownership over what they had produced. Perhaps most tellingly, when ChatGPT users were switched to writing unaided in the fourth session, they underperformed participants who had been writing without assistance from the start, suggesting that reliance on the tool had left them somewhat worse equipped to do the task alone. Kosmyna and her co-authors coined a term for this pattern: cognitive debt, the idea that offloading effortful mental work to an external system in the short term can accumulate into a longer-term deficit in independent thinking capacity.

The Science Behind the Worry

To understand why a single small study generated so much attention, it helps to look at the underlying neuroscience it draws on. The human brain’s capacity to change is not fixed at any point in life; a property called neuroplasticity allows it to continually reorganise its structure and function in response to how it is used, forming new neural connections and strengthening or weakening existing ones based on repeated activity patterns. This is the same basic mechanism that lets a violinist develop finer motor control in her left hand or a London taxi driver develop an enlarged hippocampal region for spatial memory. It cuts both ways, though: patterns that go unpractised tend to weaken, which is the biological basis for the old adage about not using something and eventually losing it.

Cognitive load theory offers a complementary frame. The human brain has a genuinely limited capacity to process new information at any given moment, and reducing unnecessary load — by cutting distractions or automating repetitive sub-tasks — can, in principle, free up mental resources for more demanding work. This is the optimistic case for AI-assisted thinking: that offloading rote or mechanical tasks to a tool lets a person spend more of their limited cognitive budget on the parts of a problem that genuinely require judgement, creativity or synthesis.

The trouble is that not all cognitive offloading is created equal, and generative AI offloads a fundamentally different category of work than earlier tools did. This is where a much older, well-established finding becomes relevant: the so-called “Google effect,” first documented in a 2011 study by psychologist Betsy Sparrow and colleagues, which found that when people expect information to remain easily accessible online, they become less likely to remember the information itself and more likely to remember where to find it. That is a meaningful shift in how memory works, but it largely concerns factual recall. Generative AI tools go considerably further, capable of offloading not just where to find information but the actual cognitive work of synthesising it, summarising it, drafting arguments from it, and generating original ideas around it — a qualitatively deeper form of delegation than simply outsourcing memory for facts.

When Offloading Becomes Overreliance

None of this means every use of AI in learning or knowledge work is harmful. Not all mental effort is equally valuable, and there is a reasonable case that some cognitive tasks — rote formatting, basic information retrieval, first-draft grunt work — are not where genuine learning or insight happens anyway. But genuine learning does depend on specific forms of effort: retrieving knowledge from memory under some difficulty, synthesising disparate pieces of information, catching and correcting one’s own errors, and reflecting on what has been produced. When a generative AI tool automates these particular processes rather than merely the mechanical surrounding tasks, it risks removing the very friction through which learning happens in the first place.

This concern scales up in professional contexts too. A 2025 Microsoft Research study of 319 knowledge workers who used generative AI in their daily workflows found a systematic shift in the nature of the critical thinking those workers actually performed. Rather than eliminating critical thinking altogether, AI use redirected it: cognitive effort moved from information gathering toward information verification, from independent problem-solving toward integrating and adjudicating AI-generated responses, and from executing tasks directly toward supervising and checking the execution that AI had already carried out. This finding echoes a much older and still-influential 1983 paper by engineering psychologist Lisandra Bainbridge, “Ironies of Automation,” which observed that automating a process tends to strip operators of the regular hands-on practice that builds and maintains their skill, while simultaneously handing them the much harder job of supervising a system whose internal workings they may not fully understand — precisely the situation many knowledge workers now find themselves in with generative AI. The upshot is not that critical thinking disappears in an AI-saturated workflow, but that it relocates: increasingly, the skill in demand is not generating an answer but recognising when an AI-generated answer is wrong, questioning its assumptions, and correcting it — a skill set that is, notably, much harder to develop if a person has not first built strong foundational reasoning through unaided practice.

That last point connects to what researchers call the “black box” problem: most users of generative AI tools do not understand the internal processes by which those tools arrive at an answer, which limits their ability to meaningfully interrogate or challenge the output in front of them. Combined with a well-documented human tendency to place undue trust and confidence in machine-generated output — even when it contains factual errors, unsupported claims or significant omissions — this creates conditions in which externally generated content is favoured over self-generated reasoning, gradually eroding a person’s confidence in and reliance on their own independent judgement. In an information environment already struggling with the rapid spread of unverified claims and misinformation, a citizenry and workforce less equipped to critically interrogate what it is told is a genuinely consequential risk, one with implications that extend well beyond individual learning outcomes into questions of national cognitive resilience and competitiveness.

The 3R Framework: A Way to Stay in the Loop

The more useful contribution of recent research, though, is not simply cataloguing the risk but proposing how to manage it. A theoretical framework developed earlier this year by researcher Simone Rossi and colleagues, published in npj Artificial Intelligence, starts from the premise that AI-generated output carries no inherent meaning until a human interprets it, situates it in context, and adds the nuance that only lived experience and judgement can supply. The act of doing that interpretive work, the framework argues, is itself what sustains cognitive engagement and, over time, healthy brain plasticity — meaning the value of the mental effort lies not in resisting AI use altogether but in remaining an active, responsible participant in how its output gets used.

Rossi and colleagues distil this into what they call the 3R framework: Results, Responsibility and Response. The idea is that individuals should actively adjudicate the results an AI system produces rather than accepting them uncritically, take genuine responsibility for how those results are applied by weighing them against relevant social, ethical and cultural context, and shape a considered response rather than simply forwarding the machine’s output unchanged. This stands in explicit contrast to passive engagement — accepting a chatbot’s suggestions or following its recommendations without scrutiny — which the framework identifies as the pattern most likely to erode cognitive engagement over time. Active engagement, by contrast, meaning interpreting, questioning, refining or genuinely co-creating with an AI tool’s output, appears far more likely to sustain or even strengthen cognitive functioning, because it preserves the very interpretive and evaluative work that passive use would otherwise remove from the human side of the interaction.

Building Habits Before They Become Deficits

Translating this into practice matters most, researchers suggest, at the earliest stages of education, where habits of engagement with AI tools are still forming and therefore most malleable. Concretely, that means treating AI as a resource to consult rather than a shortcut to the finished product; using it as a starting point for discussion and further problem-solving rather than an endpoint; deploying it to locate evidence and stress-test one’s own arguments through structured fact-checking; and using it as a platform for genuinely problem-based or phenomenon-based learning, where the AI tool supports exploration rather than substituting for it. Extending similar norms into professional workflows — treating AI output as a first draft to be actively verified, questioned and reworked rather than a finished deliverable to be passed along — applies the same underlying logic to knowledge work more broadly, and is arguably where the stakes are highest given how quickly generative AI is being embedded into everyday professional life across sectors.

None of the research reviewed here claims to have settled these questions definitively. The MIT study itself is explicit about its limitations: a small sample, brief writing sessions, no peer review at the time of publication, and no claim to demonstrate permanent or irreversible cognitive change. The broader research agenda — how different AI tools affect cognitive engagement across different personality types, learning styles, age groups and cultural contexts — remains very much a work in progress, and any confident, sweeping claim about AI’s long-term effect on human cognition should be treated with appropriate caution.

Conclusion

What the emerging evidence does suggest, even allowing for its limitations, is that the question worth asking about generative AI is not simply whether it makes people faster or more productive at a given task, since it plainly often does. The more important question is what kind of engagement a person maintains with the thinking that AI performs on their behalf. Passive, uncritical delegation — accepting outputs without interrogation, treating a chatbot’s first answer as a finished one — appears to carry a genuine cost to the cognitive processes that underpin learning, memory formation and independent judgement over time. Active, critical engagement — questioning, verifying, contextualising and taking ownership of what an AI tool produces — appears to avoid much of that cost, and may even sustain the very reasoning capacities that critics worry AI erodes. As generative AI becomes further embedded in how societies learn, work and make decisions, preserving human cognitive capacity will not be a matter of avoiding these tools, which is neither realistic nor obviously desirable. It will depend on the much harder, more deliberate work of teaching people, starting early and reinforced throughout their working lives, to remain the ones doing the thinking even when a machine is standing ready to do it for them.

Robots, Not Just Rifles: What Russia’s Drone Corps Teaches India’s Battle Groups

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By: Khushbu Ahlawat, Consulting Editor, GSDN

India’s IBG: Source Internet

As the Indian Army builds Integrated Battle Groups meant to fight and win fast, two-front wars, the Rubicon Centre’s troubled expansion in Russia offers a warning that hardware alone will not decide the outcome.There is a simplicity to modern drone warfare as it is usually described: cheap unmanned aircraft, mass-produced and mass-deployed, overwhelming expensive armour and artillery through sheer volume. Ukraine’s battlefields have made that image familiar to anyone following the war, and it has understandably shaped how militaries elsewhere, India included, are rethinking their force structures. But an inconvenient detail keeps surfacing in the most serious accounts of Russia’s own drone build-up: the bottleneck was never really the hardware. It was people — specifically, the difficulty of finding, training and retaining enough skilled operators fast enough to keep pace with the units being raised on paper. That detail matters enormously for India, because the Indian Army is in the middle of reshaping its own force structure around exactly this kind of technology-heavy, high-tempo formation: the Integrated Battle Group, or IBG.

From Cold Start to Integrated Battle Groups

The IBG concept did not emerge overnight. Its lineage traces back to the aftermath of the 2001 Parliament attack, when India’s massive but slow military mobilisation under Operation Parakram gave Pakistan weeks to reposition forces and seek international diplomatic cover, blunting whatever coercive value the mobilisation was meant to have. That experience pushed the Army toward what became known as the Cold Start doctrine, formulated around 2004 and aimed at enabling rapid, limited, proactive strikes without the weeks of build-up that had undercut Parakram — though the doctrine’s existence was officially denied for years until then-Army chief General Bipin Rawat acknowledged it publicly in 2017.

Integrated Battle Groups are the organisational form that doctrine eventually took. An IBG is a self-sufficient, brigade-to-division-sized formation — typically fielding somewhere in the range of 4,000 to 5,000 troops, larger than a conventional brigade but smaller than a division — that fuses infantry, armoured regiments, artillery, engineers, signals and unmanned aerial systems into a single command structure under a major general or brigadier, rather than having each arm operate as a separate silo coordinated only at a higher headquarters. The design philosophy rests on what Army planners call the “3T” principle — Threat, Terrain and Task — meaning an IBG deployed against Pakistan in the deserts of Rajasthan looks materially different from one postured against China in the high Himalayas, with the former weighted toward tanks and mechanised elements and the latter toward light infantry and mobility. IBGs were first field-tested by IX Corps in Yol, Himachal Pradesh, and later by XVII Mountain Strike Corps, and the concept has continued to evolve since.

What has changed the urgency behind this reorganisation is the 2025 conflict period around Operation Sindoor, India’s response to a major terror attack, which appears to have accelerated structural reform across the Army. In January 2026, Army Chief General Upendra Dwivedi confirmed that New Delhi had formally greenlit the IBG reorganisation, following the clearance of 31 separate sanction letters for structural reforms over the preceding fourteen to fifteen months — approvals covering not just the IBGs themselves but new aviation brigades and the resumption, after a five-year gap, of Territorial Army reserve recruitment. Alongside the IBGs, the Army has begun converting existing single-arm brigades into what it calls Rudra All-Arms Brigades, integrated formations combining infantry, tanks, artillery, engineers, UAVs and special forces tailored to specific operational roles, and has announced plans to raise 40 to 50 new Bhairav Light Commando Battalions — agile, lightly equipped units built for rapid, high-mobility border operations, trained around modern drones and lightweight gadgetry, meant to supplement existing Para-Special Forces and Para (Airborne) units. On the fires side, new ‘Shaktibaan’ artillery regiments are being raised with dedicated ‘Divyadrishti’ surveillance and loitering-munitions batteries for precision strike, and more than 400 infantry battalions are slated to receive dedicated drone platoons as part of a broader UAV-integration push across the force. This is, in other words, a genuinely serious reorganisation, not a rebranding exercise. And it is precisely because the ambition is real that the question of what will actually sustain it — beyond procurement budgets and doctrine documents — deserves close scrutiny.

The Concept of “Persistent Robotic Overwatch”

That question is what a recent strand of Indian strategic commentary has tried to address through the idea of Persistent Robotic Overwatch, or PRO — a layered, drone-based protective bubble meant to shield armoured formations from the kind of saturation attacks that have proven devastatingly effective against crewed tanks in Ukraine. The logic is straightforward once stated plainly: a main battle tank’s passive protection, whether traditional armour plating or Active Protection Systems designed to intercept incoming projectiles, works only up to a point. Piling on more armour makes a tank slower and less mobile; APS can only handle so many simultaneous threats. Against a saturated attack from cheap, mass-produced drones — exactly the kind both China and Pakistan are capable of fielding in large numbers — a tank’s organic defences reach their limits quickly. PRO is proposed as the answer: a persistent overhead and forward screen of India’s own unmanned systems, providing early warning, interception and disruption of incoming threats, while simultaneously supporting the tank’s offensive tempo by feeding it targeting data and suppressing enemy positions ahead of an advance. The template most often invoked for this kind of capability is Russia’s Rubicon Centre, and it is here that the more sobering lessons begin.

Inside Russia’s Rubicon Experiment

The Rubicon Centre was established in 2024–25 as a centralised Russian organisation with an unusually broad mandate: research, procurement, training and the operational deployment of unmanned systems, alongside doctrinal development covering the tactics, techniques and procedures that govern how drones are actually used in combat. Its stated purpose was to make Russian drone production and deployment more scalable and more tightly linked to what was happening on the battlefield, integrating a wide array of platforms — first-person-view quadcopters, reconnaissance drones like the Orlan-10 and Supercam, counter-UAV teams and electronic warfare squads — into a single, coordinated structure rather than leaving each type of capability fragmented across different commands.

The numbers tell the real story, though. In March 2025, Rubicon had roughly 1,450 personnel against a sanctioned strength of 2,500. By the first quarter of 2026, it had grown to approximately 9,000 personnel — a roughly sixfold expansion in under a year. That growth did not come from nowhere. Rubicon drew heavily on experienced unmanned-systems teams pulled out of Russia’s conventional formations, which depleted those units’ own intelligence, surveillance and reconnaissance capacity and fire support at exactly the moment those capabilities were most needed elsewhere on the front. Rubicon was also competing internally for talent with the 50th Unmanned Systems Brigade, which was itself expanding from 1,300 to 7,000 personnel over the same period, and both were competing against the backdrop of Russia’s broader Unmanned Systems Forces, which stood at roughly 87,000 personnel with a stated ambition of reaching 165,000 by the end of 2026.

That is an enormous, and enormously expensive, human-capital demand, and Russia has struggled to meet it. Reporting indicates Russia has been unable to hit its monthly recruitment targets for these units, and the response has been to lower recruitment standards to fill quotas rather than slow the pace of expansion. The predictable consequence is a force that looks large on an organisational chart but is thinner in actual skill than its numbers suggest — and because trained UAS and counter-UAS operators are difficult and slow to replace, the attrition these units have suffered in combat has not been easily made good. Notably, Ukraine encountered a version of the same problem when it expanded its own drone-line regiments and brigades too rapidly, temporarily degrading their effectiveness even as their nominal size grew. The lesson that emerges from both sides of that war is consistent: standing up large unmanned-systems formations quickly is organisationally achievable, but building the deep bench of trained, experienced operators needed to make those formations effective in sustained combat is a much slower and harder problem — one that outpacing your own training pipeline does not solve, it just defers.

What This Means for India’s Two-Front Problem

India’s strategic situation differs from Russia’s in one crucial respect that makes this lesson even more pointed rather than less: New Delhi cannot assume it will fight only one adversary, on a timeline of its own choosing. Any IBG-based PRO capability has to be built with the explicit possibility of a two-front contingency involving both China’s PLA Ground Force and the Pakistan Army in mind, and importantly, escalation control will not rest solely with India. If either adversary chooses to expand the conflict’s geographic scope or duration, the length and intensity of the fighting — and therefore the demand placed on India’s drone operators, counter-UAS teams and electronic warfare personnel — will be determined as much by the enemy’s choices as by India’s own planning assumptions. Russia’s experience in Ukraine, where the war has run for years longer than Moscow’s initial planning apparently assumed, is a direct illustration of how quickly manpower demands for sustained unmanned-systems operations can outstrip any peacetime recruitment and training pipeline.

The demands will also not be uniform across IBG missions. Defensive IBG operations — holding ground, absorbing an attack, maintaining a reserve capability to plug gaps — tend to place comparatively lighter demands on a PRO bubble, partly because defence is generally the stronger form of war and partly because defensive formations can rely more heavily on prepared positions and shorter supply lines. Offensive, armour-intensive manoeuvre operations are a different matter entirely. Securing a meaningful territorial gain — the kind of quid pro quo the Indian Army achieved in select sectors during the 1965 war with Pakistan — requires sustained offensive tempo, and that tempo generates far greater attrition among both personnel and equipment, which in turn generates far greater demand for the PRO capability to protect and enable it. If India’s IBGs are meant to be genuinely offensive-capable formations, and not merely defensive reserves, the manpower investment required to sustain that capability through a protracted engagement will be substantial, not incremental.

Conclusion: Building the Bench, Not Just the Bubble

None of this argues against the PRO concept or against the broader IBG reorganisation under way. The logic connecting unmanned systems to survivability and offensive tempo on a modern battlefield is sound, and the Indian Army’s parallel investments — Rudra brigades, Bhairav battalions, Shaktibaan artillery regiments, drone platoons pushed down to the battalion level — suggest a genuinely serious institutional effort to internalise the lessons of recent conflicts rather than simply procuring impressive-looking hardware. What Russia’s Rubicon experience adds to this picture is a specific and somewhat uncomfortable caveat: the constraint that will most likely determine whether India’s PRO bubble actually works in a sustained, two-front conflict is not going to be the availability of drones, sensors or even funding. It will be whether India can recruit, train and retain enough genuinely skilled operators, electronic warfare specialists and counter-UAS crews to keep those systems flying and fighting effectively for as long as an adversary chooses to keep the conflict going — without hollowing out the ISR and fire-support capacity of India’s conventional formations in the process, exactly the trade-off Rubicon’s rapid expansion forced on the rest of the Russian army. Magazine depth and AI-augmented drone manufacturing will matter. But the harder, slower, less glamorous work of building a deep bench of qualified personnel — matched in both quality and quantity to India’s actual military objectives against China and Pakistan — is what will ultimately decide whether the IBGs’ PRO capability is a genuine force multiplier or an impressive-looking structure that thins out under the pressure of a real, sustained fight.

A Line on the Map, a Home on Both Sides: India’s Unfinished Boundary with Myanmar

By: Khushbu Ahlawat, Consulting Editor, GSDN

India and Myanmar’s Unfinished Border: Source Internet

Introduction

As New Delhi accelerates fencing and quietly explores a small territorial exchange in Manipur, the real test is whether a border can be made secure without being made senseless to the people who live along it. When Manipur’s home minister told reporters on 2 September 2026 that roughly 55 kilometres of the state’s 398-kilometre frontier with Myanmar had been fenced, and that the whole stretch was expected to be done by 2028, it sounded like a routine progress report on an infrastructure project. It was, in fact, a small window into one of the more consequential shifts in India’s approach to its eastern neighbourhood. A border that was managed for decades with a light hand is being turned into a hard, monitored, documented line. And in a few places, the line itself has not yet been fully agreed.

The timing adds a second layer. A government document dated 26 May 2026, reported by The Diplomat in July, reportedly refers to the unresolved section between Boundary Pillars 65 and 68 in Manipur’s Chandel district and mentions a proposed exchange of about 1.4 square miles, or 3.5 square kilometres, with Myanmar’s Kabaw Valley in the Sagaing Region. Nothing has been confirmed. On 4 August, a spokesperson for the Ministry of External Affairs said only that there are certain areas on the border yet to be settled and that talks on those sectors are ongoing. That careful language is worth noting, because it neither confirms nor rules out anything. To understand why a few square kilometres of hill and valley have suddenly become newsworthy, one has to go back to how this frontier came to exist at all.

A Border Drawn by Others

The India-Myanmar boundary runs for about 1,643 kilometres along the states of Arunachal Pradesh (roughly 520 km), Manipur (398 km), Nagaland (215 km) and Mizoram (510 km). It is largely an inheritance from the colonial period. The Treaty of Yandabo, which ended the First Anglo-Burmese War in 1826, began the process of redrawing the region’s political map. In 1834, the British returned the Kabaw Valley to the Kingdom of Burma, a decision with lasting consequences for Manipur, and appointed Major F.J. Grant and Captain Robert Boileau Pemberton to define the boundary between Manipur and Burma. The result became known as the Pemberton Line.

Like many colonial boundaries, it was drawn with surveying instruments and political convenience rather than a close reading of how people actually lived. Nagas, Kukis and Mizos, among other communities, ended up with kin, farmland and ancestral villages on both sides. The line did not divide two peoples. It divided one set of communities between two states.

After independence, Delhi and Rangoon tried to regularise the inherited frontier. The 1967 India-Myanmar Boundary Agreement fixed the modern alignment and set up a Joint Boundary Commission to demarcate it physically with pillars on the ground. That work has been slow. About 1,472 kilometres have been demarcated so far, which leaves roughly 171 kilometres unresolved. The current debate, then, is not about reopening the whole frontier. It is about a handful of pockets, such as the Molcham sector near Pillars 65 to 68, where the line on paper and the line on the ground have not been conclusively matched.

Why Demarcation Suddenly Matters

For years, an undemarcated stretch was an inconvenience rather than a crisis. The frontier was porous, and both governments tolerated a good deal of informal movement. What changed was Myanmar itself. The military coup of February 2021 and the civil war that followed pushed armed groups, displaced people and criminal networks across and along the border. In Manipur, the ethnic violence that began in May 2023 sharpened the political salience of the frontier, with many in the valley-based community pointing to infiltration and narcotics from across the border as contributing factors, a claim that Kuki-Zo groups and others contest.

The Indian response has been to treat the border as a security asset to be built, not merely a line to be observed. In December 2024, Union Home Minister Amit Shah announced that the entire 1,643-kilometre border would be fenced, on the model of the frontier with Bangladesh, at a projected cost of around ₹31,000 crore, or roughly US$3.7 billion. Fencing, surveillance and patrolling are meant to work together. Here the unresolved stretches become a practical problem. You cannot easily build a permanent fence, or defend a legal claim to a position, along a line whose exact coordinates are disputed. Clear demarcation strengthens the legal and administrative footing for fencing, patrolling and monitoring. In that sense, demarcation has become an operational prerequisite, not a cartographic nicety.

The End of Free Movement

The security turn is inseparable from the fate of the Free Movement Regime, or FMR. Its roots go back to 1968, and it was formalised in 2018 as part of India’s Act East policy. It allowed residents living near the border to cross up to 16 kilometres into the other country without a passport or visa, under specified conditions. It was designed to recognise a social fact: for many border communities the boundary is a place of marriage, worship, schooling, medical care, trade and farming, not just a line between states.

The regime was suspended in Manipur in 2022 amid the deteriorating situation in Myanmar. On 8 February 2024, the Ministry of Home Affairs announced its decision to scrap the FMR altogether, citing internal security and the need to protect the demographic structure of the border states of the Northeast. In December 2024, the Centre introduced a stricter replacement: movement within 10 kilometres, with biometric screening and border passes issued to residents at designated crossing points.

The decision was far from universally welcomed. The governments of Mizoram and Nagaland opposed both the end of the FMR and the fencing. The Nagaland and Mizoram assemblies passed resolutions to that effect in early 2024, and Mizoram’s chief minister said that while his government could not stop the Centre from building the fence, it would oppose it. Ten tribal organisations in Manipur, including the Indigenous Tribal Leaders’ Forum, also objected, arguing that fencing and the end of the FMR would sever ties among tribal communities. Manipur’s then chief minister and his counterpart in Arunachal Pradesh, by contrast, supported the measures, and civil society groups in the Meitei-majority valley welcomed them.

That split is telling. The border means different things depending on which side of it, and which community, one belongs to. A regulated crossing with a biometric pass may be tolerable for a resident of a town with an official checkpoint nearby. It is much harder for a family in a remote village whose fields, church or clinic lies across the line.

Is a Land Swap on the Table?

Against this background, the reported exchange in the Molcham sector has drawn attention out of proportion to its size. The rationale, if the reports are accurate, is practical. Where the existing alignment produces an awkward or contested configuration on the ground, a mutually negotiated swap could give both countries a cleaner, more defensible line, and remove one obstacle to fencing.

It is important, though, to separate a proposal under examination from a settled outcome. The reporting suggests that the idea is being considered. It does not show that India has agreed to transfer any territory, or that any deal has gone through the necessary approvals. Civil society organisations have already raised concerns about the possible effect on villages, farmland and customary land use.

If it ever does become a formal proposal, the legal path is demanding. India has a precedent in the 2015 Land Boundary Agreement with Bangladesh, under which the two countries exchanged enclaves and settled long-standing boundary issues. Implementing it required the Constitution (100th Amendment) Act, 2015. The reason lies in the Supreme Court’s opinion in the Berubari case of 1960, which held that ceding Indian territory requires a constitutional amendment under Article 368, not an ordinary executive or legislative act.

In practice, an India-Myanmar arrangement would likely involve several steps: joint surveys to establish exactly what territory is involved, a formal bilateral agreement fixing the revised boundary and pillars, the constitutional amendment itself, and then the messy work of implementation. That last stage includes relocating or installing pillars, updating maps and land records, and deciding the status of the people affected: their residence, land and property rights, documentation, and where relevant, compensation and rehabilitation. It is the human end of that list that tends to be forgotten in strategic discussions, and it is the part most likely to determine whether any settlement holds.

What a Sensible Settlement Would Look Like

Three points follow from all this.

First, clarity is not the enemy. There is a good case for resolving the remaining 171 kilometres, and for doing so through the Joint Boundary Commission and the 1967 framework rather than ad hoc arrangements. An unmarked border invites disputes between villagers, between security forces, and between states. A precisely marked one does not eliminate tension, but it gives everyone something to point to.

Second, transparency matters more than usual. A border adjustment that people learn about through leaked documents is likely to fuel suspicion, especially in a state that has been through the trauma of ethnic conflict. The government need not disclose sensitive negotiating positions, but it can say plainly what is being discussed, why, and what safeguards would protect affected residents. Consultation with the state governments, village authorities and community bodies concerned is not a courtesy; it is a condition of durability.

Third, security policy and community life have to be designed together. The move from free movement to a 10-kilometre biometric pass system is defensible as a security measure, but it will only be seen as fair if the passes are easy to obtain, the crossing points are reasonably located, and there are workable exceptions for medical emergencies, funerals, farming seasons and religious occasions. Hardening a border without such provisions is likely to push ordinary people into informal crossings, which is precisely what the policy is meant to prevent.

Conclusion

India’s border with Myanmar is being redefined, in law, in steel and in daily practice. The fencing programme, the end of the Free Movement Regime and the quiet diplomacy over a few disputed pillars in Manipur all point in the same direction: a frontier that is more precisely drawn, more heavily monitored and more tightly controlled than at any point since independence. Much of that is understandable. Myanmar’s civil war is not going away soon, cross-border crime is real, and a state cannot leave its edges undefined. But a boundary is not just a security instrument. For the Nagas, Kukis, Mizos and others who live along it, it cuts through kinship networks and local economies that predate both states. A border strategy that treats those ties as an afterthought will generate resentment and workarounds, and will be less secure in the long run, not more. The 1.4 square miles at stake in Chandel are small on any map. What is being decided there is larger: whether India can finish drawing its eastern line in a way that its own border communities can live with.

Seeing Is Not Enough: Why the Indian Ocean Needs Collective Attribution for Grey-Zone Threats

By: Khushbu Ahlawat, Consulting Editor, GSDN

Attribution as the next step in Indian Ocean Maritime Security: Source Internet

Introduction

Regional states have built an impressive surveillance grid over the past decade. The harder question is what to do once a suspicious vessel has been spotted, and who has the standing to say what it was really doing. In August 2022, the Chinese vessel Yuan Wang 5 sailed towards Sri Lanka’s Hambantota port, a facility that Colombo had leased to a Chinese state-owned firm for 99 years after it could not service the loans taken to build it. Officially, the ship was on a replenishment visit. Indian commentary described it as a spy ship. It is a satellite and missile tracking vessel operated by China’s military, carries a crew of over 400, and has supported Shenzhou crewed missions and lunar probes. Sri Lanka first asked Beijing to defer the call under Indian and American pressure, then relented within days and let the ship dock, on the condition that it conduct no research in Sri Lankan waters. In January 2024, Colombo imposed a one-year moratorium on Chinese research vessels docking at its ports or operating in its exclusive economic zone. In September 2025, Yuan Wang 5 was tracked near Indonesia while India had issued airspace restrictions over the Bay of Bengal for a suspected long-range missile test.

The episode contains the whole problem in miniature. Everyone could see the ship. Nobody could say, in terms that would satisfy a court, a diplomat or a sceptical neighbour, what it was there to do, or convince the coastal states that had to decide whether to let it in that refusing was worth the friction with its owner. That gap between seeing and explaining is the subject of a growing debate in Indian Ocean security circles, and it is the reason the concept of attribution has begun to move from the vocabulary of cyber policy into maritime strategy.

A Crowded, Quiet Ocean

The Indian Ocean has become a busy operating area for vessels whose purpose is difficult to pin down. Over the last decade, Chinese research ships such as Yuan Wang, Shi Yan 6 and Xiang Yang Hong 3 have become a routine presence, alongside Chinese-origin underwater gliders and autonomous underwater vehicles, and distant-water fishing fleets. They have been reported off the east coast of Africa, in the Arabian Sea, in the Bay of Bengal and in the waters west of Indonesia. On occasion, some have switched off their Automatic Identification System transponders, the equipment that lets other ships and coastal authorities see who and where they are.

Take Xiang Yang Hong 3. It was scheduled to conduct deep-water research in the southern Indian Ocean in early 2024, and China had also sought permission for a survey off the Maldivian capital, Malé. Or take Shi Yan 6, which Chinese state media describes as an oceanography and marine ecology vessel with a crew of about 60, and which Sri Lanka allowed to operate in its waters in late 2023 despite Indian objections. In each case the official description is scientific. In each case, hydrographic and seabed data, of the kind that supports both fisheries science and submarine operations, could serve either purpose. That is what “dual-use” means in practice, and it is why the ambiguity is not a bug of the situation but its central feature. For littoral states such as India, Sri Lanka and Indonesia, this creates what might be called a response dilemma. Reacting forcefully to an activity that may turn out to be benign risks diplomatic damage, and in Sri Lanka’s case, economic exposure to a creditor that holds roughly half of its bilateral debt. Not reacting risks the slow erosion of sovereignty, the loss of intelligence advantage, and the normalisation of behaviour that could matter enormously in a crisis. Grey-zone activity works precisely because it lives in this space, below the threshold of armed conflict, exploiting the blurred lines between military and civilian, and between war and peace.

What the Existing Architecture Can and Cannot Do

It would be unfair to say the region has done little. The past decade has seen a real investment in what security planners call maritime domain awareness, or MDA: the ability to detect, track and identify what is moving on and under the water. India has built coastal radar networks across Seychelles, Mauritius, Sri Lanka and the Maldives. Indonesia, South Africa and Australia have launched satellites to watch their maritime zones. East African states including Kenya, Tanzania and Mozambique are actively monitoring foreign distant-water fishing fleets. India and Indonesia have written below-threshold activity into their maritime and defence strategies.

On top of these national efforts sits a dense layer of regional information-sharing bodies. The Information Fusion Centre-Indian Ocean Region, hosted by the Indian Navy in Gurugram, the Regional Maritime Information Fusion Centre in Madagascar, the Regional Coordination Operations Centre in the Seychelles, the Combined Maritime Forces’ Joint Maritime Information Centre, and the Quad’s Indo-Pacific Maritime Surveillance Collaboration are all designed to help partners see more and share what they see. But every one of these systems answers the same question: what is out there? Almost none answers the follow-up questions that decide whether governments can act. What exactly is that vessel doing? Who is responsible? Is the behaviour deliberate, and is it directed or supported by a state? Detection tells a coastal state that a research ship has gone dark for eleven hours over a subsea cable route. It does not tell that state whether the ship crew was conducting a survey, whether the state that owns it ordered the survey, or whether the same pattern has appeared in three other countries’ waters. Without those answers, governments hesitate, and hesitation is what grey-zone operators count on.

What Attribution Means

In international law, attribution is the process of establishing that a wrongful act can be assigned to a particular actor, ordinarily a state. In practice, it means building a case: examining behavioural patterns, ownership structures, technical capabilities, operational links, location, timing and connections to state agencies, then drawing a reasoned conclusion about intent. Done well, attribution does several things at once. It raises the cost of future misbehaviour by removing plausible deniability, it lets governments calibrate a proportionate response instead of a panicked or timid one, and it creates a documentary record that can support diplomatic, legal or economic measures.

The difficulty is that a single country attributing a grey-zone act by a much larger power takes on political and legal risk alone. It may be accused of overreach, exposed to retaliation, or left without corroboration when its evidence is challenged. This is where collective attribution becomes attractive. When several states pool information and agree, in advance, on the standards of proof they will apply, any single conclusion carries the weight of shared judgement, and the political exposure is spread rather than concentrated.

Lessons from Europe and the Question of IORA

Two institutions elsewhere in the world show how this can work. The European Union’s Hybrid Fusion Cell and NATO’s Joint Intelligence and Security Division both pool national intelligence, declassify material where appropriate, and produce assessments of hybrid threats against agreed guidelines. Their outputs are not decisions; member states retain control of what they do with the findings. But the shared assessment gives each government the institutional legitimacy to act, as happened in the coordinated European response to Russian hybrid activity. NATO has gone a step further by creating Counter-Hybrid Support Teams that can be deployed to help member states facing such pressure.

An Indian Ocean analogue would need an institutional home, and the most plausible candidate is the Indian Ocean Rim Association, or IORA. Its membership of 23 littoral states and 12 dialogue partners makes it the only genuinely region-wide body in the space. That distinguishes it from sub-regional arrangements like the Regional Coordination Operations Centre, from nationally anchored hubs such as the Information Fusion Centre-IOR, and from coalition groupings like the Combined Maritime Forces or the Quad’s surveillance initiative, which by design include only some of the relevant states. Maritime Safety and Security is already one of IORA’s priority areas, covering domain awareness, information exchange and standardised processes. It would not be a stretch to add a technical attribution function to that portfolio: a small team that assembles and assesses evidence, while leaving the political decision on whether to publicise or respond to the member governments, exactly as the EU cell does.

The Politics That No Mechanism Can Engineer Away

It would be a mistake to treat this as a technical fix. Attribution is a political decision as much as an analytical one, because naming a state carries consequences, and different governments weigh those consequences differently. IORA’s members do not share a single threat perception. Something India regards as coercive or hostile may look to a fellow member like a routine fisheries matter, a sovereignty question or simply an economic relationship. Many Indian Ocean states depend heavily on Chinese trade, finance and infrastructure, and that dependence shapes how willing they are to be seen criticising Chinese conduct at sea. Sri Lanka’s own oscillation on the Yuan Wang 5 visit, and its later moratorium, is a case study in a small state trying to satisfy two powerful neighbours.

There is also a structural limit. IORA operates on consensus. A single member with strong economic ties to the country under discussion can slow or block a collective conclusion, and when the subject is a Chinese activity affecting several IORA members, that is not a hypothetical risk. Any realistic proposal has to accept this. A consensus body will rarely produce a bold public accusation on short notice. That said, the alternatives are not obviously better. Coalition groupings can move faster but lack legitimacy in the eyes of states outside them, and a purely Indian or Quad-led attribution risks being dismissed as partisan. An IORA process, even a slow and cautious one, offers something the faster options cannot: the region’s own voice. Even a modest outcome, such as an agreed methodology for assessing suspicious activity, common indicators of concern, and shared protocols for response, would improve on the status quo. Standards agreed in advance are more likely to hold when a crisis arrives than positions improvised under pressure.

Conclusion

The Indian Ocean has spent a decade getting better at seeing. Coastal radars, satellites and fusion centres have made it harder for a vessel to move unobserved through the region’s busiest waters. That investment has been worthwhile, but it has also exposed the limits of surveillance as a security strategy. Knowing that a research ship has switched off its transponder or that a glider has surfaced near a cable landing is only the first step; the real difficulty lies in deciding what it means and what to do about it.

Collective attribution is not a substitute for naval presence, capacity-building or bilateral diplomacy, and it will not resolve the underlying strategic competition. What it can do is narrow the space in which ambiguity operates, and give smaller littoral states a way to respond that does not require them to stand alone against a much larger neighbour. The path runs through IORA or something like it, and it will be slow, contested and dependent on consensus. But the alternative is to keep watching, in ever finer detail, activity that no one is willing or able to explain. For an ocean that carries a large share of the world’s trade and energy, and where the seabed is increasingly threaded with cables and sensors, that is not a sustainable position.

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