Bubble Same Cloud
Bubble Warnings Mount as Grantham, Goldman, and GameStop Tell Very Different Stories
Three independent voices converged on the same warning in a single week: Jeremy Grantham — whose track record includes correct calls on both the dot-com and 2007 housing bubbles — warned that an AI-led bubble could send equities down 70 percent. Chinese hedge funds separately warned of an AI 'super bubble' nearing collapse. And Allianz's chief investment officer used the phrase 'bubble territory' in describing the SpaceX bond losses. Simultaneous convergence from analysts with different geographic vantages and methodological approaches is qualitatively different from the usual single-analyst bear call that markets dismiss as noise.
Goldman Sachs and Bank of America are both flagging dangerously crowded positions in technology stocks — a specific technical condition in which too many institutional investors hold identical positions, creating cascade risk when any large seller moves for the exit. Goldman's strategists are recommending investors shift from chip stocks to cloud stocks, a thesis that connects directly to the Broadcom-MediaTek story: if chip hardware faces new competitive pressure, the picks-and-shovels value shifts to the software and services layer running on top of it. A convergence of major fund managers including David Tepper, Seth Klarman, and Bill Ackman have made Amazon their largest single holding, arguing AWS growth is being priced at a discount because Amazon's retail and logistics operations obscure the margin profile.
Microsoft is heading for its worst first-half performance since the year 2000 — not a sign of operational failure, given solid Azure growth and deep enterprise AI integration through Copilot, but a reflection of valuation multiple contraction when a stock priced for perfection encounters any friction. Fannie Mae and Freddie Mac present a less-discussed risk: duration gaps at both mortgage giants have widened to roughly one year — a technical measure of interest rate sensitivity last seen at these levels in the early 2000s — driven partly by a Trump administration directive to purchase $200 billion in mortgage-backed securities. Both entities remain in conservatorship originally intended to be temporary since 2008, and are now accumulating the same interest rate exposure that made them fragile then.
The most surreal business story of the week belongs to GameStop, which is projecting EBITDA above $600 million and reportedly pursuing an acquisition of eBay — a company with a market cap in the tens of billions. The meme-stock company that saw its shares surge over 1,500 percent in early 2021 appears to have generated the actual cash flow to justify a serious strategic pivot, whatever the merits of the specific eBay target. IMF chief economist Pierre-Olivier Gourinchas offered the macro counterweight to deglobalization fears, observing that trade-to-GDP ratios remain solid despite tariffs and geopolitical disruption — globalization is 'transformed, not dead,' in his framing, with supply chains adapting along different routes rather than collapsing.
Amazon's Cloud Grip: How GPU Cancellations Expose a Market-Power Problem
Epic Games CEO Tim Sweeney posted publicly that Amazon canceled his company's Nvidia GPU orders through AWS — a disclosure that crystallized a structural concern about cloud market power that analyst Gene Munster has been articulating with increasing urgency. Epic is not a marginal actor; it operates Fortnite, the Unreal Engine, and one of the most significant app stores in gaming. That Amazon, acting through its cloud infrastructure arm, could cancel the GPU capacity Epic had placed orders for — presumably redirecting that supply elsewhere — signals to every AWS customer that their infrastructure access is subject to Amazon's discretion rather than simply market availability.
Munster's argument is architectural: Amazon Web Services achieved dominance by presenting itself as a neutral utility provider, akin to electricity, on which startups and enterprises could build without fear that their infrastructure partner was also a competitor managing supply against them. But Amazon competes directly with significant numbers of its own cloud customers across gaming, entertainment, logistics, and retail. When it controls the supply of Nvidia GPUs — the critical hardware for AI workloads — it holds meaningful leverage over every company that depends on that compute to operate.
The antitrust question turns on a distinction courts have consistently found difficult to draw cleanly. Under Section 2 of the Sherman Antitrust Act, holding a large market share is not itself illegal; the violation requires using that market position to engage in exclusionary conduct that harms competition in a related market. The legal question in any eventual case would be whether Amazon canceled Epic's orders for legitimate business reasons — supply constraints, contract terms, pricing — or to disadvantage a company that competes with Amazon in an adjacent market. Market share alone does not establish the violation; the conduct must go beyond aggressive competing.
Nvidia's role adds another layer. The Financial Times reported that Nvidia has been asking cloud-computing clients to voluntarily cap sales of its chips into China — a request sitting between corporate compliance with export-control expectations and proactive regulatory anticipation. Nvidia already operates under significant export restrictions on its most powerful chips to China; extending that restraint downstream through cloud partners is an attempt to get ahead of potential further regulatory action, though analysts are divided on whether such restrictions accelerate Chinese domestic chip development by giving producers like SMIC and Huawei's HiSilicon additional breathing room.
Bank of America's note this week offered a counterintuitive thesis: if major hyperscalers begin rationalizing AI infrastructure spending, the companies that benefit paradoxically could be the chip suppliers themselves. With GPU supply currently so constrained, any reshuffling of demand could help chipmakers like Nvidia maintain pricing power and reduce customer-concentration risk. Less concentrated demand from a few mega-customers, the argument runs, could produce a healthier and more diversified chip market — even if the process is painful for Amazon's near-term market share.