The legendary bubble-spotter warns that Big Tech's comfortable monopoly era is ending, replaced by a brutal AI arms race that could reshape markets well beyond equities.
Jeremy Grantham, the co-founder of asset management firm GMO and one of the most respected market strategists alive, is sounding the alarm on what he calls a “watershed change” in Big Tech. The man who correctly identified both the dot-com bubble and the 2008 housing crash says the Magnificent 7 are heading into a “fight to the death” over artificial intelligence.
Speaking on Bloomberg’s Odd Lots podcast on June 18, Grantham laid out a thesis that should make anyone holding concentrated tech positions uncomfortable. Hyperscalers are projected to spend roughly $725 billion in capital expenditure this year, a figure equal to about 2% of US GDP, with a massive portion flowing directly into AI infrastructure.
From monopoly to “unmonopoly” #
Here’s the thing about the last decade of Big Tech dominance: it was built on moats. Each of the major tech companies largely owned its lane. Google had search. Meta had social. Amazon had e-commerce and cloud. Apple had the hardware ecosystem. They were, in Grantham’s framing, comfortable monopolies with fat margins and minimal overlap.
AI is blowing that apart. Grantham described the current environment as a transition from a “monopoly world” to a “brutal competitive world.” Every major tech firm is now pouring billions into overlapping AI initiatives, building competing large language models, competing inference infrastructure, and competing AI-powered products.
The result is what Grantham calls an “unmonopoly,” a market structure where seven major players are all fighting over what could turn out to be a shrinking prize. When everyone is building the same thing, profit margins tend to compress.
Grantham compared the current AI spending boom to previous episodes of massive overinvestment, specifically the railroad boom of the 19th century and the dot-com era of the late 1990s. Both periods saw transformative technologies attract capital far in excess of what the market could sustainably absorb. Both ended painfully.
The GDP question #
Perhaps the most provocative element of Grantham’s argument is his claim about economic growth itself. He suggested that without the AI-fueled spending surge that has propped up markets since 2023, US GDP growth could have been near zero.
That’s a striking assertion. It implies that a significant chunk of recent economic expansion isn’t organic demand growth but rather a capex cycle driven by corporate FOMO. Companies are spending because their competitors are spending, not necessarily because they’ve identified clear, near-term revenue opportunities.
What this means for crypto and risk assets #
Crypto has spent the last several years increasingly correlated with tech-heavy risk assets. If Grantham’s prediction of compressed margins and declining returns for the Magnificent 7 materializes, the resulting volatility would almost certainly spill into digital assets.
The AI narrative has been one of the primary drivers of market optimism since 2023. If the market starts to view AI spending as unsustainable overinvestment rather than transformative growth, the narrative shift could pull liquidity away from speculative assets across the board.
For crypto investors, the practical takeaway is about watchfulness. The $725 billion capex figure is a leading indicator. If hyperscaler spending starts to plateau or decline in coming quarters, it would validate Grantham’s thesis and likely signal a broader risk-off environment. Grantham’s track record gives his warnings weight that most commentators simply don’t carry. He called the dot-com bubble. He called the housing bubble. He doesn’t always get the timing right, and he’s been early before, sometimes painfully so.
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