James Anderson Says $2 Trillion AI Spend Ends Big Tech Software Era as Chipmakers Gain
Updated
Updated · Financial Times · May 21
James Anderson Says $2 Trillion AI Spend Ends Big Tech Software Era as Chipmakers Gain
2 articles · Updated · Financial Times · May 21
James Anderson said two decades of outsized growth for top US software and internet stocks are ending because AI spending is crushing the low-capex, high-cash-flow model that powered Big Tech.
About $2 trillion in hyperscaler spending from 2024 to 2027 will instead funnel profits to dominant hardware suppliers, he said, naming Nvidia, TSMC and ASML as the main beneficiaries.
The shift is already visible in markets: the PHLX Semiconductor Sector Index has risen 18% in the past month and 57% this year, while traditional software stocks have come under pressure.
Anderson argued the AI chip squeeze could last longer than investors expect because hardware supply is unusually concentrated and suppliers still have pricing power—"right now, no one can say no."
At Lingotto Innovation Strategy, the $1.6 billion fund he runs with Morgan Samet, Anderson still holds a sizeable Nvidia stake and said he would not rule out buying Anthropic in a potential IPO.
As Big Tech's AI spending soars, are hardware giants like Nvidia and TSMC the only guaranteed winners in this new era?
With AI mega-IPOs looming, are the 'Magnificent 7' facing an unavoidable decline as market capital shifts towards new leaders?
Beyond chips, what is the next great bottleneck—from energy to memory—that will define the future of the AI arms race?
From Software to Silicon: How AI’s $500 Billion Hardware Boom Is Transforming Tech and the Global Economy
Overview
The technology landscape is undergoing a profound transformation, as James Anderson describes the end of the Big Tech software era and a significant pivot towards hardware. This shift is driven by the relentless demands of artificial intelligence, especially the rise of large language models that require immense computational power. As a result, the physical infrastructure powering AI is taking center stage, moving beyond the traditional dominance of software platforms. Even if ambitious market targets are not met, shareholders in key hardware companies are expected to see substantial success, highlighting the growing importance of hardware in the AI era.