Executive Summary

Foreign portfolio investor outflows from Indian equities since October 2024 are best understood as a multi-factor repricing rather than a single-cause story. The headline explanation that “India was too expensive” is partly true, but incomplete. Reuters reported that the October 2024 to March 2025 selloff amounted to $25.3 billion, driven by high valuations, moderating earnings, growth uncertainty, and global trade tension. Reuters also reported that by April 2026, foreign investors had sold more than $38 billion of Indian shares since the start of 2025, with oil-price shocks, rupee pressure, and AI-related anxiety in the IT sector worsening the retreat.  (Reuters)

The core strategic point is that global capital rarely moves for one reason. It moves toward the market where expected risk-adjusted earnings growth is clearer. For the period in question, India offered a strong structural story but an expensive entry point, uneven near-term earnings momentum, and limited short-term re-rating catalysts after a long run-up. The United States, by contrast, offered a more liquid market, dominant AI infrastructure and platform companies, and accelerating earnings expectations in its technology complex. Reuters reported that expectations for 2026 U.S. earnings growth jumped from 16% at the start of January to almost 20% by late April 2026, with technology companies accounting for much of the increase. Reuters also noted that 28 AI-related stocks accounted for about one-third of the $48 trillion increase in global market capitalisation since ChatGPT launched.  (Reuters)

That does not mean Indian equities are fundamentally weak. India still has one of the world’s fastest-growing large economies, and the IMF’s January 2026 update projected India’s calendar-year growth at 6.3% for 2026 and 6.5% for 2027, while the IMF’s April 2026 update highlighted that global growth remains resilient but is being tested by war, inflation, and tighter financial conditions. The issue is that equity returns are not the same thing as GDP growth. Stocks depend on earnings, margins, valuation multiples, capital flows, and the discount rate. In late 2024 and early 2025, India had the growth story but not the market pricing discipline; earnings growth was slowing while multiples remained rich versus many peer markets.  (IMF/Fed; Reuters)

In my assessment, the outflow was primarily driven by four forces. First, India’s broad market had become expensive relative to its own history and relative to other emerging markets. Second, the market’s earnings momentum softened, especially in parts of financials, consumption, and IT. Third, a global macro rotation favored U.S. technology and AI leaders because their earnings revisions were improving faster and because AI capital spending created a powerful narrative of future monetisation. Fourth, external shocks such as oil, geopolitics, and rupee weakness made Indian assets look more vulnerable on a currency-hedged basis.  (Reuters)

So is the answer “high valuation” or “AI pressure on Indian IT”? The correct answer is “both, but with different weights.” High valuation was the broad market trigger. AI pressure was a sector-specific accelerant, especially for Indian IT names that depend on discretionary client spending and labour-arbitrage models. But the deepest reason is relative opportunity cost: U.S. AI companies offered investors stronger perceived growth visibility, while India offered higher quality in the long term but less immediate upside after a strong prior rally. This report unpacks that trade in detail and separates the cyclical, structural, and psychological drivers behind the flow reversal.

1. What the flow data actually says

The starting point must be the data on flows, because narratives are often built after the fact. Reuters reported that foreign investors pulled nearly $14 billion out of Indian stocks since the start of October 2024 by November 12, 2024, and the same news flow said negative second-quarter earnings surprises were keeping markets on edge. By March 2025, Reuters reported that FPIs had sold Indian shares worth $28 billion between October and March, triggering a 13% fall in the Nifty 50 from record-high levels hit on September 27, 2024. Another Reuters report on April 29, 2025 said the October 2024 to March 2025 outflow totalled $25.3 billion, again linking the selling to high valuations, moderating earnings, growth, and global trade uncertainty.  (Reuters)

By 2025 year-end, Reuters reported that overseas investors had offloaded a record $18.5 billion of Indian shares in the year, while domestic mutual fund holdings had climbed and foreign ownership of Indian equities had fallen to a 15-year low. By April 2026, Reuters reported that foreign investors had sold more than $38 billion of Indian shares since the start of 2025 and that the highest monthly outflows from Indian stocks since October 2024 had appeared in March 2026. The exact cumulative figure depends on whether one uses equity-only, equity-plus-bonds, gross or net, and whether one measures calendar-year or rolling-12-month outflows. But the direction is unmistakable: the foreign investor was de-risking India in a sustained way, not merely making a one-month tactical adjustment.  (Reuters)

The flow picture matters because it explains market behaviour more clearly than headlines about “foreigners leaving.” Foreign selling is not always a vote against a country. Sometimes it is the result of portfolio rebalancing, currency hedging, risk parity constraints, benchmark changes, or relative-value reallocations. In India’s case, however, the scale and duration of the outflow suggest something deeper than short-term profit-taking. The foreign investor was not simply trimming winners; it was actively moving from a market where expected upside had narrowed into markets where expected growth revisions were rising faster. That is what makes the period strategically important.  (Reuters)

The domestic market structure also changed the impact of foreign selling. Reuters later reported that foreign ownership of Indian equities slipped to a 15-year low of 16.9% from 17.4% at the end of 2024, while domestic mutual funds’ holdings climbed to 10.9% from 10% at 2024-end. That does not eliminate the significance of foreign flows, but it does mean that local money increasingly acted as the shock absorber. This is one reason India could underperform foreign-owned pockets without collapsing the broader market. Domestic institutions were becoming the marginal buyer, but not necessarily at the same speed or scale as foreign sellers.  (Reuters)

2. The simplest answer: valuation was too rich for the pace of earnings

The most straightforward explanation for the foreign exodus is that India became expensive before the earnings cycle re-accelerated. Reuters reported in April 2025 that the outflows were due to high valuations, moderating earnings, growth, and global trade uncertainty. Reuters also reported in April 2025 that foreign investors had offloaded $29 billion in the October-March period on the back of slowing earnings growth and elevated valuations relative to other emerging markets. Those two lines are the cleanest summary of the market’s problem. The market was paying up for a long-duration India story while near-term fundamentals were not delivering enough incremental surprise.  (Reuters)

Valuation is not a complaint about price in the abstract; it is a complaint about price relative to what the buyer thinks can be earned from the cash flows. India’s premium valuation has long been defended on the grounds of demographic strength, political stability, formalisation, digitisation, and superior growth compared with many peers. That argument is valid over long horizons. The problem arises when valuation already embeds most of that good news. When the market is priced for “good but not exceptional” outcomes and earnings come in merely “good,” the return arithmetic disappoints. That is exactly what happened in late 2024 and early 2025. The market did not necessarily become bad; it simply ceased to be cheap enough to justify the optimism that had been priced in.  (Reuters)

Reuters data from late 2025 is helpful because it shows how valuations eventually corrected. In November 2025, Reuters said the Nifty traded at 22.7 times 12-month forward earnings, down from 23x to 25x about 14 months earlier, while an earnings slump in early 2025 had pushed multiples down to 18.5x to 19x. That tells us two important things. First, the earlier selloff was partly a de-rating process, not only a change in earnings expectations. Second, once valuation cooled and earnings prospects improved, the market began to attract foreign interest again. This is what you would expect from a market that had become too fully priced relative to its growth runway.  (Reuters)

The valuation issue was more severe in segments that had run hard during the previous bull phase. Small- and mid-cap pockets often became “priced for perfection,” and even large-cap parts of the market carried substantial premiums. When capital is abundant and passive flows are strong, valuation discipline can erode quietly. Foreign investors tend to be the first to step back when the risk-reward looks asymmetric. That was visible in India: the market had done well, domestic enthusiasm remained strong, and the foreign investor increasingly felt that the next rupee of earnings growth was being bought too expensively.  (Reuters)

But valuation alone is not enough to explain why foreigners sold India and bought the U.S. The same global money could have rotated from India into other emerging markets, Europe, or cash. Instead, much of it gravitated toward U.S. stocks, especially AI leaders. That means the sell decision in India was paired with a buy decision elsewhere. The rest of the report explains why that “elsewhere” was so often the United States.

3. Earnings momentum mattered more than headline GDP growth

Many investors make the mistake of equating India’s GDP with equity returns. India’s economy can grow at 6% to 7% and still generate weak stock performance if earnings are disappointing, margins are squeezed, or valuation multiples contract. Reuters reported in September 2025 that India’s strong economic growth failed to impress equity investors, with the Nifty 50 underperforming Asian and emerging-market peers while benchmarks still traded at premium valuations to EM peers. That was the market’s real problem: growth was not broadening into enough earnings surprise to justify the pricing.  (Reuters)

The IMF’s January 2026 update projected India’s calendar-year growth at 6.3% in 2026 and 6.5% in 2027, while Reuters’ later reporting said the IMF raised FY26 growth to 7.3% and expected slower pace in the following two years. Those numbers are strong by global standards. Yet strong macro growth only becomes market-supportive when it translates into stronger corporate revenue, operating leverage, credit demand, and margin expansion. In the October 2024 to March 2025 period, the problem was that the market was not getting enough of that translation. Earnings growth was moderating, not accelerating. That is why the foreign investor’s valuation concern was so persistent.  (IMF/Fed; Reuters)

The Reuters reports on earnings were especially clear on the linkage. The April 2025 foreign buying article said outflows were driven by “moderating earnings” in addition to high valuations. The March 2025 article said the slowdown in earnings growth had already contributed to a broad pullback. This matters because a market can tolerate elevated multiples if earnings upgrades are strong and broad-based. The U.S. experienced exactly that in AI-linked technology. India, by contrast, experienced a more selective and uneven earnings path. Financials remained relatively resilient, but consumer demand, industrial cycles, and IT spending often did not surprise on the upside enough to offset the initial premium.  (Reuters)

The market’s own sector leadership also signalled a lack of breadth. In any strong bull market, foreigners want to see leadership rotate from a handful of glamour names into a broad set of cyclical and domestic demand beneficiaries. In India, many of the best stories were already familiar: banks, capital goods, defence, manufacturing, and select consumption names. Those themes were compelling strategically but were not always cheap. When a story becomes universally accepted, the market often discounts much of the upside early. That makes foreign investors cautious. They want to see earnings growth that is not just high, but also underpriced. India offered growth; it did not always offer the right price for that growth.

4. Why AI mattered so much for the U.S. and so much less for India

The AI story is central, but it needs careful interpretation. It is not accurate to say foreign investors fled India simply because “AI companies are in America.” Rather, AI changed the relative earnings map of the global market. Reuters reported that expectations for 2026 U.S. earnings growth had risen from 16% in early January to almost 20% by late April 2026, with technology accounting for much of the increase. Reuters also reported that investors were returning to U.S. stocks as AI and earnings growth fed fear of missing out. That combination is powerful because it aligns narrative, revisions, and index-level liquidity.  (Reuters)

Reuters also noted that 28 AI-related stocks accounted for about one-third of the $48 trillion increase in global market capitalisation since ChatGPT’s launch. That does not mean all those gains were rational or sustainable, but it does show where global investors perceived the most scalable monetisation opportunity. In such an environment, portfolio managers tend to concentrate risk in the market where innovation is being monetised fastest. The United States, with its hyperscalers, chip leaders, software platforms, and cloud ecosystems, became the obvious destination.  (Reuters)

For India, AI was more double-edged. On the one hand, Indian IT services companies are indispensable to global digital transformation and have sizable opportunities in AI implementation, data engineering, cloud migration, and managed services. On the other hand, the market began to worry that AI would shorten project cycles, reduce billable headcount intensity, and compress the old labour-arbitrage model. Reuters reported that top Indian IT firms faced subdued quarters as war, weak discretionary spending, and AI concerns weighed on clients’ budgets. Reuters also reported that AI concerns were hurting Indian IT stocks and that foreign outflows from Indian IT stocks reached seven-month highs in early 2026.  (Reuters)

That is why AI hurt India in a specific way. The U.S. could sell the AI theme as an earnings-expansion story, because its dominant companies make the hardware, models, cloud infrastructure, and applications where pricing power is strongest. India’s IT industry, by contrast, is a services-heavy exporter that benefits from technology spending but does not automatically capture the full margin expansion from AI. In fact, if AI makes clients more efficient, some of the savings can flow back to customers instead of to vendors. So while AI is a massive global opportunity, it is not uniformly positive for every sector. For India’s IT sector, it was partly a promise and partly a threat. The market chose to focus on the threat first.  (Reuters)

There is another subtle point. AI is a long-cycle capital spending boom, and capital markets tend to reward the owners of scarce infrastructure first. That means semiconductors, cloud infrastructure, and platform software often enjoy the first wave of valuation expansion. Service providers and downstream adopters get the second or third wave, if at all. Indian IT did not lose because AI is irrelevant; it lost because the market could not yet see the same near-term monetisation leverage that it could see in U.S. mega-cap technology. That is a relative valuation and business model issue, not merely a thematic one.  (Reuters)

5. Macro risk: oil, rupee weakness, and global geopolitics

Even a strong domestic equity story can be overwhelmed by external macro shocks. India is heavily dependent on imported energy, so higher oil prices hit inflation, the current account, corporate margins, and the rupee at the same time. Reuters’ April 2026 reporting said foreign investors had sold about $38 billion of Indian shares since the start of 2025, with higher oil prices amplifying concern and India being one of the biggest importers of crude. Another Reuters report said the market had become vulnerable as oil surged in connection with the Iran war and that the rupee fell to record lows under pressure from weak flows and oil shock.  (Reuters)

The macro transmission is straightforward. Higher oil prices worsen the trade balance, and for an oil-importing economy that means more dollars must be acquired to pay for the same quantity of energy. That weakens the currency or at least forces the central bank to defend it more actively. A weaker rupee can help some exporters, but it also raises imported inflation and makes foreign investors worry about future macro stability. In equity terms, this reduces the attractiveness of domestic-cyclical and rate-sensitive sectors, and it can also deter global allocators who evaluate returns in dollar terms. Foreign investors do not buy rupee assets for patriotic reasons; they buy them because the expected dollar return clears their hurdle. When currency risk rises, the hurdle rises too.  (Reuters)

This is one reason the U.S. can look comparatively safer even when American valuations are also high. The dollar is the reserve currency, U.S. markets are deeper, and the hedging complexity is lower for many institutions. In periods of geopolitical tension, “safe” often beats “cheap.” India may have stronger medium-term growth, but if the near-term macro mix includes higher oil, a weaker rupee, and unstable external flows, some global investors will prefer the combination of scale, liquidity, and relative monetary stability offered by U.S. assets. That preference does not mean the U.S. is risk-free; it means the U.S. often becomes the default destination during periods of uncertainty.  (IMF/Fed; Reuters)

The Fed matters as well, because global capital prices all asset classes against the U.S. risk-free benchmark. Reuters and the Federal Reserve both showed that 2026 started with uncertainty about rates and inflation, while the Fed kept policy in a restrictive range and emphasized Middle East uncertainty. In that setting, U.S. stocks could still rally if earnings revisions were strong enough, especially in AI. For India, however, higher global rates can simultaneously depress foreign inflows and pressure the currency. So even when India’s domestic economy is steady, external financial conditions can still dominate portfolio decisions.  (IMF/Fed)

6. Relative value: why “buy America” can coexist with “sell India”

Foreign investors are not binary patriots of one market or another. They allocate to the best risk-adjusted return available at any point in time. The same portfolio manager can reduce India exposure and increase U.S. exposure in the same month because both moves are responses to the same global process: relative earnings revisions and relative confidence. Reuters’ reporting on U.S. stocks makes this clear. Investors returned to U.S. equities because AI and earnings growth created a fear-of-missing-out dynamic, and technology companies accounted for much of the earnings upgrade. This is a classic capital flow magnet.  (Reuters)

In contrast, Reuters’ reporting on India during the same period emphasized high valuations, moderating earnings, and growth uncertainty. That does not make India a bad market; it makes it a less attractive marginal increment when compared with the U.S. The important word is marginal. A market can still have excellent long-term fundamentals and yet lose marginal flows if another market offers better short-term visibility. This is why the phrase “FIIs are selling India” should not be interpreted as “FIIs hate India.” It means the incremental weight addition is lower than before because the competing opportunity set improved.  (Reuters)

This is also why many global funds did not simply move to cash. The selloff in India coincided with a move into U.S. large-cap technology, AI infrastructure, and sometimes other countries with policy stimuli. Reuters even reported in March 2025 that global investors were deserting India and buying Chinese stocks instead, after stimulus announcements and AI-related developments changed the Asian relative-value picture. That matters because it shows a broader reallocation away from India, not a one-way wager on America alone. In portfolio terms, India was being compared not only with the U.S. but also with other EM and Asian opportunities.  (Reuters)

The practical result is that India became a “funding source” for better-priced growth elsewhere. In such moments, valuation matters twice. It determines whether investors buy a market in the first place, and it determines how painful it is to keep holding it during a relative drawdown. When India’s premium got stretched and U.S. AI enthusiasm intensified, capital naturally flowed toward the latter. The outflow was therefore not an irrational panic; it was a rational relative-value trade, even if the exact timing and magnitude were exaggerated by momentum and crowded positioning.

7. Why Indian IT stocks were hit disproportionately

If one sector deserves special attention, it is Indian IT. The market saw IT as both cyclical and structurally vulnerable. Reuters reported that foreign outflows from Indian IT stocks hit a seven-month high in February 2026, with the NIFTY IT index suffering its worst monthly performance since the 2008 financial crisis. The same report said the decline was triggered by fears of profit erosion due to rapid AI advances and significant U.S. tech announcements. Another Reuters article said top Indian IT firms were likely to report another lacklustre quarter as AI gains would be blunted by clients cutting spending amid macroeconomic and geopolitical uncertainty.  (Reuters)

Why did the market react so sharply? Because Indian IT’s valuation model depends on a few assumptions that were suddenly being questioned. First, that clients would keep outsourcing as much work as before. Second, that revenue growth could be preserved through incremental hiring, new projects, and offshore leverage. Third, that AI would be an enabler rather than a disintermediator. When investors start to believe that AI can automate parts of application development, testing, support, customer service, and analytics, they lower their long-term earnings assumptions for the sector. Even if that view is too pessimistic, equity markets often discount the possibility immediately.  (Reuters)

There is also a more subtle margin issue. Indian IT firms have historically benefited from large workforces, stable demand, and modest but reliable margin expansion. AI can change that equation by raising productivity faster than revenue. If clients use AI to get more output from fewer billable hours, then some of the productivity gain may be competed away in pricing. That means AI can be good for clients and still bad, at least initially, for supplier margins. The market is therefore not merely worried about “technology replacing people.” It is worried about who captures the economic rent from the productivity jump. In the U.S., the rent is accruing to the infrastructure and platform layer. In Indian IT services, the rent may be more contested.  (Reuters)

This is why the IT sector became a proxy for the bigger India-vs-U.S. debate. If U.S. AI leaders are the winners and Indian IT is under pressure from the same AI cycle, then portfolio managers see a clear relative trade. They can sell the service layer and own the infrastructure layer. The move is not necessarily a judgment on India as a country; it is a judgment on where, in the AI value chain, the better economics currently reside. That distinction is critical. It explains why India can still be a powerful long-term growth market while its IT sector suffers a major rerating.

8. Domestic flows cushioned the market, but they did not reverse the foreign verdict

One reason India did not fall more sharply is that domestic investors stepped in aggressively. Reuters reported that domestic mutual fund holdings rose to a record while foreign ownership fell to a 15-year low. Reuters also noted later in 2026 that record domestic institutional buying in March helped stabilize markets even as foreign flows remained negative. This is important because it explains why one can have very large foreign outflows without a complete market collapse. India’s market depth is improving, and local savings are now large enough to absorb at least part of the selling.  (Reuters)

But domestic support does not necessarily change the foreign investor’s thesis. Domestic investors often have a different horizon, different liabilities, and different benchmark pressure. They can buy on dips because they expect structural growth over years. Foreign investors, particularly global active funds, often care more about near-term relative performance, currency-adjusted returns, and benchmark underperformance. So even while DII buying supported prices, it did not fully offset the foreign view that India’s short-term risk-reward had deteriorated. This is why the market can remain expensive in absolute terms while still feeling weak in relative terms.  (Reuters)

This mismatch between domestic optimism and foreign caution is a central feature of modern Indian markets. It is not a bug; it is a sign of maturity. Domestic investors increasingly believe in the long-run India story and can act as countercyclical buyers. Foreign investors, however, are still the price-sensitive marginal allocator for many large-cap names. When they leave, valuations can compress even if the business cycle remains intact. That dynamic creates opportunities for long-term investors, but only after the market has digested the repricing. In other words, domestic buying is a stabilizer, not a guarantee that foreign selling was wrong.  (Reuters)

9. Was the FII exit a vote against India’s story or just a better U.S. story?

The best answer is: mostly the latter, with some of the former. The foreign investor did not abandon India because India stopped growing. It reduced exposure because India was priced like a high-quality story that still needed a re-rating pause, while the U.S. was offering a stronger combination of earnings acceleration, AI leadership, and benchmark liquidity. Reuters’ U.S. reporting repeatedly emphasizes earnings growth, AI spending, and the draw of megacap tech. Reuters’ India reporting repeatedly emphasizes valuations, moderating earnings, and sector-specific weaknesses. The contrast is not subtle.  (Reuters)

That said, there is a real India-specific problem if capital keeps demanding a higher hurdle. If the market continues to price Indian equities at a premium even when earnings are only average, foreigners will continue to reduce exposure. India’s investment case then becomes dependent on domestic liquidity and long-term compounding rather than on broad foreign sponsorship. That may be acceptable, but it implies a different style of market. The days when India could rely on foreign buyers to chase every growth narrative are likely over. The market is now more discerning. It wants earnings delivery, valuation discipline, and policy consistency before it re-accelerates flow inflows.  (Reuters)

This is why the question “Is it because Indian equities are expensive or because U.S. AI is attractive?” is actually too narrow. The answer is both, but through the lens of relative return. Indian equities became expensive relative to the pace of their earnings upgrades. U.S. AI stocks became attractive relative to the pace and magnitude of their earnings upgrades. Capital moved from lower expected marginal return to higher expected marginal return. That is the simplest investment explanation, and it is the one that best fits the data.

10. What would bring FIIs back to India?

Foreign flows will return when the market can offer some combination of cheaper valuation, accelerating earnings, supportive policy, and lower currency risk. Reuters’ later reporting in 2025 already showed the beginning of that process: as valuations cooled and earnings improved in parts of the market, foreigners returned to Indian shares through large block trades and financials became a top pick. Reuters also reported in late 2025 that strong corporate earnings and reasonable valuations drew foreign investors back, and that large-cap valuations had become more attractive after the 2025 underperformance.  (Reuters)

That tells us the reversal mechanism clearly. Foreign investors do not require India to become cheap in an absolute sense. They need India to become less expensive relative to its own history and relative to alternatives. They also need earnings upgrades to broaden beyond a few pockets. Financials, industrials, select consumption names, and quality manufacturing can help. But if the market is led only by a narrow set of expensive names while macro risks remain high, foreigners are unlikely to return in scale. It is the breadth of improvement, not just the headline GDP print, that matters.  (Reuters)

Policy can also matter at the margin. Interest-rate cuts, tax relief, higher capex visibility, and lower oil prices can all improve the relative attractiveness of Indian equities. Yet policy is not enough on its own. Investors want earnings confirmation. The most durable foreign inflow cycle begins when policy support and earnings recovery reinforce each other. India has that potential, but it must be earned. In the meantime, the market remains vulnerable to episodes where foreign capital exits first and asks questions later.

11. Strategic verdict: what really happened

The strategic verdict is that this was not a single-factor selloff. It was a classic multi-variable capital rotation. India’s valuation premium compressed after a long rally. Earnings momentum disappointed relative to expectations. Macroeconomic and currency risks rose due to oil and geopolitics. Indian IT became an explicit AI-disruption target. And U.S. AI stocks offered a superior growth narrative with improving earnings estimates and massive capital expenditure backing the story. Those conditions together created a compelling reason to reduce India and increase U.S. exposure.  (Reuters)

If one had to weight the factors, I would rank them as follows. The biggest driver was valuation and earnings mismatch in India. The second was the global AI rotation into U.S. mega-cap technology and associated momentum. The third was macro and currency risk, especially oil. The fourth was the sector-specific fear around Indian IT. In other words, the broad market sold off because it was expensive and not delivering enough surprise; the U.S. bought because it was expensive but delivering even more surprise. That distinction matters. High valuation by itself does not cause selling. High valuation plus weaker revisions does.  (Reuters)

The bottom line for strategists is that FIIs are not voting against India’s long-term destiny. They are voting on the short- to medium-term opportunity set. India remains a structurally attractive market, but in the period under review the market was asking investors to pay a premium for a story that was temporarily under-delivering relative to alternatives. U.S. AI stocks, meanwhile, were monetizing the world’s most powerful new technology cycle. That is why money moved. It was not about patriotism, and it was not about a single sector. It was about where the next increment of expected return was most visible.

12. Practical implications for investors and policy makers

For investors, the implication is that India should be approached with a two-lens framework. The first lens is structural: India remains a long-duration growth market with depth, domestic liquidity, and strong policy potential. The second lens is cyclical and relative: foreign flows are likely to remain fickle when valuations run ahead of earnings and when the U.S. technology cycle is expanding. A disciplined India allocation therefore needs more selectivity than before. Quality at any price is not enough; price still matters.  (Reuters)

For policy makers, the message is equally clear. If India wants consistent foreign inflows, it must keep improving the link between growth and listed-company earnings. That means more broad-based private capex, faster formal job creation, deeper financial-market liquidity, and a lower susceptibility to external shocks. Energy security is especially important because oil shocks instantly damage the equity narrative. The stronger India’s domestic energy resilience and earnings breadth become, the less vulnerable it is to global portfolio reversals.  (Reuters)

For IT leaders, AI should be treated not as a slogan but as a business-model redesign issue. The market is not asking whether firms have AI pilots; it is asking whether AI improves revenue per employee, protects pricing, and creates new monetisable services. Indian IT firms that can shift from labour arbitrage to higher-value outcomes will eventually be rewarded. Those that cannot will remain vulnerable to multiple compression. The market has already signaled this clearly.  (Reuters)

Conclusion

So, are FIIs selling Indian stocks and buying U.S. stocks because Indian equities are too expensive or because U.S. AI companies will change the world? The most accurate answer is: both, but the valuation-and-earnings gap is the immediate driver, while AI is the strategic magnet on the U.S. side. Indian equities were priced for strong outcomes before earnings had fully caught up. U.S. AI stocks were priced richly too, but their earnings revisions, capex cycle, and narrative momentum were stronger. Add oil, rupee pressure, and IT-sector anxiety, and the capital rotation becomes understandable. The foreign investor did not leave India because India stopped being a growth story. It left because, for that period, the U.S. offered the better trade.  (Reuters)

13. A more granular timeline: how the trade changed month by month

The easiest way to understand the foreign rotation is to see it as a sequence of phases rather than a single event. The first phase began in late 2024, when India’s market was still enjoying the afterglow of a long rally and many investors were still extrapolating strong nominal growth into 2025 corporate earnings. Reuters said that by November 12, 2024, foreign investors had already pulled nearly $14 billion out of Indian stocks since the start of October, while disappointing second-quarter earnings were keeping markets on edge. In other words, the selloff began before any full-blown macro crisis. It was an anticipatory de-risking response to stretched positioning and earnings disappointment.  (Reuters)

The second phase ran through the first quarter of 2025. Reuters said that by March 2025 FPIs had sold Indian shares worth $28 billion between October and March, and another Reuters article in April 2025 put the October-March figure at $25.3 billion while explicitly naming the drivers as high valuations, moderating earnings, growth concerns, and global trade uncertainty. This was the period when the market narrative changed from “India is the best structural story in EM” to “India is still a great structural story, but the price already reflects too much of that optimism.” That subtle wording shift matters because it is exactly how institutional capital rotates: first from enthusiasm to caution, then from caution to outright reallocation.  (Reuters)

The third phase was visible in mid-2025, when Reuters reported that foreigners were beginning to return to Indian shares through large block trades and that financials were benefiting from relatively attractive valuations. This rebound did not erase the earlier message. It simply showed that foreign investors remain highly tactical and that they will come back when the risk-reward resets. The fact that the market later attracted inflows confirms that the earlier selling was not a permanent loss of faith; it was a de-rating episode. Still, the recovery also remained selective, with interest concentrating in sectors that looked cheaper and more resilient than IT or high-beta consumer names.  (Reuters)

The fourth phase came in late 2025, when Reuters noted that strong earnings and reasonable valuations were drawing foreigners back, even though India had underperformed peers earlier in the year. By then, the Nifty’s forward multiple had already cooled from the 23x-25x area seen about 14 months earlier to 22.7x, and earlier in 2025 it had fallen into the 18.5x-19x range after an earnings slump. The market had done the work of resetting expectations, and that is generally when foreign money becomes more comfortable again. This sequence is a reminder that in equity markets timing matters. A good story is not enough if the entry price already discounts the good story.  (Reuters)

The fifth phase, in early 2026, was dominated by external shocks. Reuters reported that by March and April 2026 foreign investors had sold more than $38 billion of Indian shares since the start of 2025, and that the broad selloff intensified after higher oil prices and geopolitical conflict worsened risk sentiment. Another Reuters report said India’s financial stocks experienced record outflows in March 2026 and that AI concerns were adding to IT pressure. By this stage, the market was no longer debating only valuation. It was dealing with a composite shock of oil, inflation, currency, geopolitics, AI uncertainty, and foreign-flow exhaustion. That combination can overwhelm even a strong domestic growth narrative.  (Reuters)

14. Why the United States absorbed capital so effectively

The U.S. market is uniquely good at absorbing global capital because of size, liquidity, index concentration, and the presence of companies that can translate technology spending into visible earnings growth. Reuters reported that 2026 U.S. earnings growth expectations had risen sharply and that technology accounted for much of the improvement. It also reported that investors were returning to U.S. stocks as AI and earnings growth fed fear of missing out. Those are exactly the ingredients that attract global capital: high liquidity, a clear earnings upgrade cycle, and dominant market leaders that are easy to buy in size.  (Reuters)

A second reason is the sheer scale of the AI ecosystem in the U.S. Reuters reported that 28 AI-related stocks accounted for about one-third of the $48 trillion increase in global market capitalisation since ChatGPT launched. That is not just a story about stock prices; it is a story about the global portfolio map. When one market’s biggest constituents dominate the world’s equity performance tables, they become the natural destination for momentum, benchmark tracking, and thematic capital. Investors may complain that the market is crowded, but they still buy because the crowd is making money.  (Reuters)

A third reason is that the U.S. market offers a better channel for concentrated AI exposure than India does. Even if one wants exposure to AI, the U.S. gives direct access to semiconductors, cloud infrastructure, model providers, enterprise software, consumer platforms, and defense-related AI applications. India, by comparison, is more of an implementation and services market. That does not make India uninvestable, but it does reduce the appeal of India as the highest-beta way to play the AI theme. In a global market that rewards directness, U.S. AI leaders have the cleaner narrative.  (Reuters)

The fourth reason is benchmark behaviour. Large global funds are often judged against U.S.-heavy indices, and when the U.S. market rallies on AI, managers who underweight it can suffer relative-performance pain. That creates a feedback loop. Even if a manager likes India structurally, he may still add the U.S. because the benchmark and the earnings revisions are demanding it. India then receives less marginal capital than its macro story alone would suggest. This is one reason relative performance can remain weak in a market that is still growing strongly in absolute terms.  (Reuters)

15. India’s position in the AI value chain is promising, but not yet fully monetized

India should not be seen as an AI loser. It is better described as a market where AI benefits are more indirect and slower to show up in earnings. Indian IT firms can help clients deploy AI, modernize workflows, migrate to cloud, and integrate data architectures. Indian enterprise software firms can also use AI to improve productivity, product features, and customer engagement. But the market is still waiting for proof that these capabilities will produce strong operating leverage at scale. Until that proof arrives, the AI story in India remains more defensive than offensive.  (Reuters)

This matters because the capital market rewards the layer that captures the economic rent. In the U.S., that layer is often the semiconductor, cloud, platform, or frontier-model segment. In India, a larger share of the listed market sits in financials, industrials, consumer companies, and IT services. These are excellent businesses in many cases, but they are not the same as owning the AI infrastructure layer itself. Therefore, even if India’s digital ecosystem becomes more AI-enabled, the list of firms that can convert that into huge near-term market-cap gains is narrower than in the U.S. That asymmetry helps explain the flow gap.  (Reuters)

There is also a valuation consequence. If investors expect U.S. AI leaders to remain the main beneficiaries of a global spending cycle, they are willing to pay for that optionality. If they believe Indian IT firms will face pricing pressure or slower demand growth because clients are adopting AI in-house, they will compress those multiples. Reuters’ coverage of Indian IT in 2026 repeatedly highlighted subdued revenue growth, weak discretionary spending, and AI anxiety. This is why the sector has become a battleground between optimism about digital transformation and fear about substitution.  (Reuters)

16. When India’s valuation premium is justified and when it is not

A premium valuation for India is not automatically wrong. It is justified when several conditions hold simultaneously: growth is broad-based, inflation is contained, policy is supportive, earnings revisions are positive, and external balances are stable. In such an environment, India’s superior nominal growth, formalisation, and long runway can rationally command a premium. That is the long-term bull case. The problem in late 2024 and early 2025 was not that India deserved no premium at all; the problem was that the premium had become too high relative to the immediate earnings path and the external risk set.  (Reuters)

There is a useful way to think about this. A premium valuation is like a toll on the road to future growth. Investors pay the toll when the road ahead is clear and fast. They resist paying it when the road is foggy, bumpy, or blocked. In late 2024, India’s road looked partially foggy because earnings were slowing, inflation had surprised on the upside, and foreign flows were already turning negative. The long-term destination had not changed, but the journey had become less certain. That uncertainty was enough to trigger de-risking.  (Reuters)

The premium becomes unjustified when it depends mainly on a narrative rather than on upgradeable earnings. If a market trades at a large premium because “the next decade will be great” but the next four quarters are merely okay, the market is vulnerable to a rerating down. That is what happened in India. When the market later cooled and valuation came in, foreign investors were willing to look again. Reuters’ late-2025 coverage is consistent with that pattern: valuations cooled, earnings improved, and foreign interest returned. In other words, the market corrected the mismatch itself.  (Reuters)

17. Behavioural and technical factors amplified the fundamental case

Fundamentals explain the direction of the move, but positioning explains the speed. India entered the period with a strong domestic ownership base, high optimism, and crowded long positioning in selected themes. When foreign investors began reducing exposure, they were often selling into a market that had fewer natural marginal foreign buyers because many were already fully allocated. This makes flows look more dramatic than the underlying change in fundamentals would suggest. Once momentum turns, passive and quantitative strategies can accelerate the move.  (Reuters)

There was also a psychological element. India had been a consensus overweight for much of the prior cycle. When a market becomes consensus, it can remain expensive for a while, but it also becomes fragile. A few earnings misses or one or two macro shocks can cause investors to question whether they are being paid enough for the risk. The foreign investor often prefers to leave early rather than be the last one holding an expensive position. That is not a sign of irrationality. It is a feature of institutional risk management.  (Reuters)

Conversely, the U.S. AI market benefited from positive feedback. Every strong earnings report from a hyperscaler or AI chip leader reinforced the idea that the theme was real and monetising quickly. Reuters reported Nvidia-driven AI rally confirmations and sizable market-cap gains in the U.S. This type of feedback loop is very powerful in global markets because it reduces uncertainty. Investors do not need to imagine whether AI is important; they can see the earnings and the capital expenditure. In that sense, the U.S. offered a clearer market story than India.  (Reuters)

18. The strategic portfolio lesson: stay long India, but be honest about the cycle

For a long-term allocator, the correct conclusion is not to abandon India. It is to separate structural conviction from tactical positioning. India remains attractive because its economy is large, its domestic savings pool is deepening, its digital infrastructure is strong, and its policy state has many levers to support formalisation and capex. The IMF’s growth outlook keeps India among the fastest-growing major economies, and Reuters’ later coverage showed that once valuations cooled, foreign capital could return. The country’s long-term compounding case has not been invalidated.  (IMF/Fed; Reuters)

But tactical discipline matters. If the market is trading on a rich premium while earnings are merely okay, foreign money will become less reliable. That means investors need to focus more on individual businesses with strong cash conversion, pricing power, and visible growth than on a blanket “India” story. In the same way, policy makers need to keep improving the domestic earnings engine so that GDP growth translates more efficiently into listed-company profits. Without that link, India may remain a great economy that occasionally disappoints equity investors.  (Reuters)

The AI era raises the bar further. India can still participate meaningfully in AI adoption, but it must prove that its listed champions can capture value rather than merely facilitate it. If that happens, today’s skepticism about IT and other service-led names will reverse. If not, the U.S. will continue to attract more of the AI-linked marginal dollar. That is why the foreign flow story is so important. It is not only a market event; it is a signal about where the global equity market thinks the future profits will accrue.  (Reuters)

The final lesson is that a country’s best macro story does not always produce the best equity story. Stocks are bought on expectations, not national pride. Foreign investors sold India because the price of optimism rose faster than the earnings support. They bought U.S. stocks because AI and earnings revisions made future profits easier to imagine and easier to underwrite. That is the most honest explanation of the rotation. It is also the one most consistent with the data.  (Reuters)

Appendix A: What to watch over the next cycle

The first metric is valuation relative to earnings growth. If India’s forward P/E falls to a level where the premium versus EM peers is below its own long-term average and earnings revisions improve, foreign flows usually respond positively. Reuters’ late-2025 reporting already suggested that large-cap valuations had become relatively attractive after underperformance, and that is the type of setup that can revive interest.  (Reuters)

The second metric is the oil price and the currency. As long as India remains a large oil importer, any sustained oil shock can quickly revive the macro case against Indian assets. The rupee is not merely a financial variable; it is a confidence variable. When it weakens sharply, foreign investors reassess both inflation risk and exit risk. That is one reason oil can matter more to Indian equities than to many other large markets.  (Reuters)

The third metric is IT earnings guidance. If Indian IT firms begin to show that AI is improving productivity without destroying pricing, and if U.S. discretionary tech spending remains healthy, the sector can rerate. But if client budgets remain weak and AI-driven pricing pressure continues, IT will stay under pressure. Reuters has repeatedly flagged this issue, so it is one of the cleanest leading indicators to follow.  (Reuters)

The fourth metric is the breadth of earnings recovery across India. A rally led by a small set of expensive names is less likely to attract sustained foreign capital than one supported by banks, industrials, consumer, and export winners. Reuters’ reporting on financials showed that foreigners returned first to stocks with attractive valuations and steady earnings. That pattern likely applies again.  (Reuters)

The fifth metric is U.S. AI monetisation. If U.S. companies continue to convert AI capex into revenue and margin expansion, global capital will keep leaning toward them. If the market starts to worry that AI spending is outrunning returns, the relative advantage of U.S. stocks may narrow. Reuters has already shown that this debate is live, which means the theme is powerful but not risk-free. Still, for the period under review, the U.S. was clearly the stronger magnet for global capital.  (Reuters)

Appendix B: Sector-by-sector implications for India

Banks and financials are the first group to watch because they sit at the intersection of valuation, credit growth, and domestic liquidity. Reuters’ reporting shows that financials often became a preferred destination when foreigners returned, partly because valuations looked more reasonable and earnings were steadier than in several other sectors. This makes sense strategically. In a market where the overall premium has become rich, the first foreign money often comes back to the businesses that combine visible earnings, lower regulatory uncertainty, and better balance-sheet clarity. Banks also benefit when domestic credit demand remains healthy and when rate cuts or policy support become visible. That is why financials can be the first sector to recover even when the broader market is still uncertain.  (Reuters)

Consumer stocks require a different lens. Their long-term appeal in India is obvious: rising incomes, premiumisation, and formal retail growth. But this sector can underperform when real wages are pressured by food inflation, when rural demand softens, or when the market has already priced in optimistic consumption recovery. Reuters’ reporting around India’s growth and inflation environment suggests that consumption was not receiving the kind of clean demand surprise that would justify aggressive re-rating. In that situation, foreigners will often prefer to wait rather than pay up for a story that depends heavily on a smooth macro cycle. Consumer businesses can be wonderful compounding machines, but they need consistent demand visibility to attract large global allocations at a premium multiple.  (Reuters)

Industrials and capital goods are more promising from a medium-term view because they benefit from capex cycles, government spending, and formalisation. Yet they are still vulnerable to delay. If the market worries about oil-driven inflation, higher financing costs, or slower private investment, these names can become volatile. The foreign investor usually wants evidence that the capex cycle is not just a policy announcement but a real order-book and revenue cycle. Without that evidence, the sector may remain a “promising story” rather than an immediate flow magnet. India’s infrastructure narrative is therefore strong, but it is not enough on its own to stop foreign de-risking when global risk appetite falls.  (Reuters; IMF/Fed)

Manufacturing and export-linked sectors are more nuanced. A weaker rupee can help exporters on paper, but it also signals macro fragility. This means the market can support exporter earnings while still punishing the overall market multiple. For foreign investors, the question is not simply whether an exporter earns more rupees. It is whether the currency-adjusted return in dollars is attractive and whether the macro system is stable. As Reuters’ reporting showed, the rupee’s weakness itself became part of the risk narrative, which reduced the confidence of foreign buyers even in sectors that could theoretically benefit from depreciation.  (Reuters)

Technology services need to be separated into two categories: legacy outsourcing and AI-adjacent transformation. Legacy outsourcing is under pressure because clients are trying to do more with less, which AI makes easier. AI-adjacent transformation can be a growth area if Indian firms can shift from billing hours to billing outcomes. The challenge is that equity markets value certainty more than aspiration. A sector can talk about AI readiness for years, but if quarterly guidance remains soft, the multiple compresses. Reuters’ reporting on subdued quarters, weak discretionary spending, and AI concerns shows exactly how quickly the market can re-price that uncertainty.  (Reuters)

Utilities, energy, and commodities matter mostly through macro transmission. When oil rises, upstream names can gain on price, but the broader equity market often weakens because the economy sees margin pressure, inflation risk, and currency risk. This means an oil-price spike can create winners inside the market while still being negative for the foreign flow balance overall. It is important to separate “stock winners” from “market winners.” A handful of energy names can rise even as foreign investors sell the index as a whole. Reuters’ reporting on India’s vulnerability to oil shocks makes this distinction especially relevant.  (Reuters)

Appendix C: Why the “India vs U.S.” comparison is not symmetric

A lot of commentary treats India and the U.S. as if they are directly competing investment products. In reality, they compete only partly. The U.S. is the world’s reserve-currency equity market and the centre of global technology monetisation. India is a large, high-growth, domestically driven market with a rising share of formal savings and a strong long-term consumption and financialisation story. The U.S. is where much of the global AI rent is being captured today; India is where a great deal of AI adoption may eventually happen. Those are related but not identical propositions.  (Reuters)

This asymmetry matters because U.S. stocks can be bought as a direct proxy for global innovation, while India often requires a more patient thesis. That difference in “investment immediacy” is one of the hidden reasons foreign capital can move faster out of India than into it. A U.S. AI leader can publish a strong quarter and immediately justify more capital. An Indian services firm can publish an adequate quarter and still leave investors asking when the AI benefit will actually show up. The market pays for immediacy, not just for promise. That is why the U.S. can dominate portfolio flows even when India’s long-run GDP growth is stronger.  (Reuters)

Another asymmetry is information density. The U.S. market is covered by extraordinary amounts of analyst attention, cloud metrics, product launches, earnings calls, capex guidance, and real-time sentiment. India is also well covered, but the dominant story can be harder to monetize at the portfolio level because many of the best companies are spread across banks, domestic consumption, industrials, and services rather than concentrated in one globally visible theme. When a global allocator wants to make a large thematic bet, concentration is convenient. The U.S. gives that; India gives diversification. In a risk-on AI cycle, concentration often wins.  (Reuters)

Appendix D: What would change the narrative fastest

The quickest positive shift for India would be a combination of lower oil, a more stable rupee, and a visible earnings upgrade across financials and consumption. If oil prices normalize, inflation pressure falls, the currency stabilizes, and the RBI can maintain policy credibility, foreign investors would have fewer reasons to demand a higher risk premium. The market would then be judged more on earnings than on macro fear. That would likely benefit banks first, then consumption, then industrials, and eventually parts of IT if AI narratives stabilize.  (Reuters)

A second possible catalyst would be a clearer proof point that Indian IT can win with AI rather than lose to it. For example, if top firms show that AI improves project productivity without eroding pricing, the market could slowly re-rate the sector. The challenge is that this proof must arrive in the numbers, not merely in presentations. Reuters has already documented the market’s skepticism, so the evidence threshold is high. However, once the market sees both revenue growth and margin stability in an AI-adjusted model, a strong rerating is possible because the current fears may have overshot the reality.  (Reuters)

A third catalyst would be a broad-based earnings cycle in the U.S. that is not limited to a handful of megacap names. If U.S. AI spending becomes too concentrated or if monetisation lags too far behind capex, global allocators may seek diversification again. Reuters has already highlighted concerns about heavy AI spending and the timing of returns, so this is not a one-way street. Still, until that concern dominates the market, the U.S. likely remains the more attractive AI destination. The relative story therefore shifts only when the U.S. loses some of its perceived earnings certainty or India gains more of its own.  (Reuters)

Appendix E: A simple decision framework for strategists

One way to think about the foreign flow puzzle is with four questions. First, is India’s expected earnings growth accelerating faster than the market price implies? Second, is the currency stable enough that dollar-return investors do not need an extra safety margin? Third, is there a compelling sectoral leadership story that can absorb large foreign allocations? Fourth, are there better alternatives elsewhere, especially in U.S. technology and AI? If the answer to the first three is “not yet” and the answer to the fourth is “yes,” then foreign selling is likely. That framework describes the period from late 2024 into early 2026 very well.  (Reuters)

The framework also explains why the same foreign manager can switch from seller to buyer within months. When valuations cool, earnings recover, and macro risks fade, the first three answers improve and the fourth may weaken if U.S. AI becomes crowded or less certain. That is exactly why Reuters later reported foreign buying returning to India. The “sell India, buy U.S.” trade is therefore not permanent. It is cyclical and conditional. The smart response is not to moralize about the flows but to interpret what they say about relative returns at a given point in time.  (Reuters)

Appendix F: A compact strategist’s conclusion

The strongest single sentence summary is this: FIIs sold Indian stocks because India became expensive before its earnings could re-accelerate, while U.S. AI stocks became expensive for a better reason, namely rapidly rising earnings expectations and a huge technology monetisation cycle. Add oil, geopolitics, currency pressure, and AI fears in Indian IT, and the capital rotation becomes easy to understand. The broader implication is that India’s long-term story remains powerful, but foreign investors will only pay for it when the market offers the right combination of price, growth, and macro stability. Until then, the U.S. will keep attracting the more impatient dollar.  (Reuters)