Indian investors are increasingly funneling funds into overseas AI stocks, prompting concerns over market concentration, valuations, and the sustainability of earnings , with seasoned funds reorienting towards tech amid warning signs of a bubble.
Indian investors are finding it harder to resist the pull of artificial intelligence stocks overseas, and the latest reserve bank data suggests the temptation may already be showing up in the numbers. According to a report in The Hindu BusinessLine, resident individuals sent a record $457 million abroad in June for overseas investments, a sign that the AI trade is increasingly reaching beyond Wall Street into Indian portfolios. Business Standard, citing Reserve Bank of India data, said outward remittances under the Liberalised Remittance Scheme rose nearly 20% year on year to $2.5 billion in June, with equity and debt investment flows more than doubling to $456.7 million.
That backdrop helps explain why large investors are also rethinking their stance. GQG Capital, which became well known in India after backing Adani Group stocks in 2023, has moved towards technology and semiconductors after spending roughly two years warning that AI shares were in bubble territory, according to reporting on the firm’s half-year positioning. The shift, which came after heavy underperformance and a reported $15 billion in outflows, underlines how even seasoned managers can be caught by the fear of missing out when a market theme keeps extending.
The comparison being made by market watchers is not with the dotcom boom alone, but with the financial crisis as well. The Hindu BusinessLine article points out that the largest AI-linked companies are now expected to post earnings growth far faster than the broader market, while also accounting for an outsized share of index profits and market value. That concentration matters because history has shown how quickly a narrow earnings story can unravel when assumptions change. Before the 2008 crisis, financial shares were dominating S&P 500 profits; when the housing market weakened and leverage turned against banks, earnings collapsed and the sector’s market weight fell sharply.
What makes the current AI cycle more troubling, the article argues, is that profits are looking increasingly detached from cash generation. Nvidia’s latest results showed strong earnings but weaker free cash flow than analysts had expected, and the broader AI group’s free cash flow is now seen as far lower than net profit. The report also notes huge future lease and equipment commitments, alongside a web of spending between the big cloud groups and AI labs such as OpenAI and Anthropic. In that arrangement, some critics see a loop in which capital is recycled through the ecosystem in the hope that it eventually returns as demand for chips and cloud capacity. The message for investors is simple: a powerful trend can still be dangerous if valuations, earnings and cash flow stop moving together.
Disclaimer: This article is intended to inform and educate, not to recommend or endorse any financial product, investment or strategy. Please consider your own financial circumstances and seek professional advice where appropriate before making financial decisions.
