Indian stocks have added more than $400 billion in value as the artificial intelligence trade unwinds, Bloomberg News reported on 15 November: the MSCI India gauge has rebounded 11% from a six-month low set in October, almost erasing this year’s losses, as the country’s relative lack of AI exposure “has become a prime advantage”.
The depository data show the money arriving. Foreign portfolio investors bought a net Rs 84,291 crore of Indian equities in November up to 13 November, NSDL figures show, about $8.9 billion by our sum of its daily dollar figures. That is 2.4 times October’s Rs 34,843 crore outflow and the largest monthly inflow of 2026, by our arithmetic.
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The key insight: As we read it, the flows and the prices tell the same story from two sides: foreign portfolio investors bought a net Rs 84,291 crore of Indian equities in November to 13 November, 2.4 times October’s outflow per NSDL data, while from 6 October to 13 November the Nifty 50 rose 10.4% and the KOSPI fell 23.8%, by our arithmetic.
Bloomberg describes the bounce as part of “a broader rotation by global funds away from crowded tech bets toward markets backed by strong earnings”. It says Indian stocks “suffered bruising losses in the first nine months of 2026 as the artificial intelligence trade hoovered up global investor capital”.
Overseas buyers have snapped up a net $8.5 billion of Indian shares in November, heading for the biggest monthly inflow in six years, according to data compiled by Bloomberg, cutting this year’s total outflow to about $22 billion. Active long-only funds globally remain $74 billion underweight Indian shares relative to the benchmark, close to their lightest positioning since 2015, Bank of America data show, per the report.
Bloomberg also points to oil: Brent crude has dropped over 18% from a high set on 30 October, which helps a country that imports nearly 90% of its energy needs. The MSCI India gauge trades at about 20 times one-year-ahead profits, a discount to its five-year average, and has still dropped 2.2% in 2026 while MSCI’s regional benchmark has jumped about 12%, the report says.
Sensex, Nifty 50, Nasdaq-100, TAIEX and KOSPI, index level with the 6 October 2026 close = 100 (the Nasdaq-100’s highest close of 2026), to the 13 November 2026 close. Changes are our arithmetic on official closing levels: NSE and BSE closes via Yahoo Finance, Korea Exchange via Naver, the Taiwan Stock Exchange and Nasdaq.
The Flows, by Our Arithmetic
NSDL’s FPI Monitor compiles custodian reports of trades by foreign portfolio investors up to the previous trading day. Its 2026 calendar-year table and November daily report give these equity figures:
November so far. A net inflow of Rs 84,291 crore up to 13 November. The nine daily dollar figures NSDL publishes add up to $8.94 billion, by our arithmetic.
Against October. October was a net outflow of Rs 34,843 crore, so November’s inflow to date is 2.4 times October’s outflow.
Against the rest of 2026. The next-largest month this year was August, at Rs 29,631 crore; November to date is 2.8 times that. The biggest single reporting day was 6 November, at Rs 16,278 crore ($1.72 billion).
The year. The 2026 total is still a net outflow of Rs 210,854 crore. Up to the end of October it stood at Rs 295,145 crore, by our arithmetic.
Bloomberg’s $8.5 billion comes from data compiled by Bloomberg; our $8.9 billion is the sum of NSDL’s daily figures, a different dataset with its own cut-off.
India Against the AI-Heavy Markets
To compare India with the markets most tied to the AI trade, we took official closing levels from 6 October, the Nasdaq-100’s highest close of 2026, to 13 November. The start date is our choice; the TAIEX also set its 2026 closing high on 6 October.
India up. The Sensex rose 11.7% and the Nifty 50 10.4% over the period.
AI-heavy markets down. The Nasdaq-100 fell 10.5%, Taiwan’s TAIEX 12.3% and South Korea’s KOSPI 23.8%. The gap between the Nifty 50 and the KOSPI is 34.2 percentage points, by our arithmetic.
November to date. From the 30 October close, the Nifty 50 is up 9.1% and the Sensex 9.6%, while the Nasdaq-100 is down 1.6%, the TAIEX 3.4% and the KOSPI 7.7%.
The year still favours AI. In 2026 to 13 November the Nifty 50 is down 3.8%, while the KOSPI is up 25.5%, the TAIEX 50.8% and the Nasdaq-100 10.7%.
Tan Altundag, an investment manager for emerging equities at Pictet Asset Management in Hong Kong, told Bloomberg: “We’ve become more positive on India and have added back to our exposure in recent weeks”, adding that “diversification away from the increasingly volatile AI trade also appears likely to benefit India”.
Calamos Investments co-chief investment officer Nick Niziolek said its emerging-market strategy lifted its India allocation to more than 10% from as little as 1% to 2% about a year ago: “We’re adding to India because we’re seeing an inflection in earnings”. Fidelity’s Nick Price said: “We have reduced some underweight on India over the past few weeks by trimming some AI-related stocks”, with “no rush” to go further.
Simon Sidmalm, a fund manager at Tundra Fonder in Stockholm, said: “With the unwinding of AI trades, we’ve seen buying interest coming back for India”.
The Structural Read
As we read the data, India is being bought for what it lacks: Bloomberg ties the rebound to the country’s relative lack of AI exposure, and the markets that led 2026 on AI, Korea and Taiwan, are the ones that fell most since 6 October. The year-to-date numbers still run the other way, with the KOSPI up 25.5% and the Nifty 50 down 3.8%; the data do not show whether the rotation lasts.
Tan Altundag, investment manager for emerging equities at Pictet Asset Management, quoted by Bloomberg News, 15 November 2026
“We see an improving balance between macro headwinds, portfolio flows and valuations”
Three Implications
FOR GLOBAL ALLOCATORS Bank of America data cited by Bloomberg show active long-only funds still $74 billion underweight Indian shares, close to their lightest positioning since 2015.
FOR AI-HEAVY MARKETS The KOSPI fell 23.8% and the TAIEX 12.3% from 6 October to 13 November, by our arithmetic, after leading 2026.
FOR INDIA’S MACRO Bloomberg reports Brent crude down over 18% from its 30 October high; India imports nearly 90% of its energy needs.
The framework describes the supercycle as “A thirty-to-fifty-year economic transformation comparable in scope to the Industrial Revolution, running on three nested clocks, exhibiting the paradoxical dual character of bubble and revolution at the same time”.
As we read it, the India rebound is the financial loop of that cycle reaching an economy outside the AI stack: capital that left India for AI-heavy markets for most of 2026 is coming back as the AI trade unwinds, per Bloomberg and the NSDL flows. The framework predates this move and does not discuss India.
What Is Not Established
The $400 billion is Bloomberg’s figure for the value added by the MSCI India gauge; we did not verify it against exchange market-capitalisation data, which we could not access. Bloomberg calls the shift a “potential turning point” for emerging markets and says the process “may still have room to run”; neither is established.
Index moves over a chosen window depend on the dates picked. Our 6 October start is the Nasdaq-100’s 2026 closing high, and a different start would give different gaps. NSDL’s November figures cover reporting dates up to 13 November and can be revised.
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Bloomberg News reported that Indian stocks have added more than $400 billion as the AI trade unwinds, with the MSCI India gauge up 11% from an October low. NSDL data show foreign portfolio investors bought a net Rs 84,291 crore, about $8.9 billion, of Indian equities in November to 13 November, 2.4 times October’s outflow, while from 6 October to 13 November the Nifty 50 rose 10.4% and the KOSPI fell 23.8%, by our arithmetic.
A note on sourcing. We read the Bloomberg News article in full in its syndication by The Business Times; every figure and quote attributed to Bloomberg, Bank of America or the fund managers comes from it. Foreign portfolio investment figures come from NSDL’s FPI Monitor (2026 monthly table and November daily report, data up to 13 November). Index levels are official closes: NSE and BSE via Yahoo Finance, checked against Business Standard’s 13 November market report, Korea Exchange via Naver, the Taiwan Stock Exchange and Nasdaq.
The dollar sum of NSDL’s daily figures, the ratios and all index changes are our arithmetic, and the 6 October start date is our choice.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
