Tech stocks lost $1 trillion this week despite beating earnings. Here's why.

Two months ago, we broke down [Michael Burry's controversial Nvidia short thesis](https://www.reddit.com/r/ValueInvesting/comments/1p9ks0t/understanding_michael_burrys_nvidia_short_the/) here: hyperscalers are systematically overstating earnings by depreciating GPUs over 5-6 years when they become economically obsolete in 2-3 years. The market laughed. Bulls called him washed up. AI enthusiasts dismissed the concerns as FUD. This week, the laughing stopped. **What happened** Tech stocks experienced their worst selloff since April 2025. Software stocks lost roughly $1 trillion in market value. The remarkable thing is that all these companies actually beat their earnings estimates. Alphabet's revenue grew 18%. Amazon's cloud business exceeded expectations. Google Cloud posted 48% growth. By traditional measures, these were strong quarters. But the market destroyed them anyway. Not because of earnings or revenue, but because of capital expenditures. **The Capex bomb** The numbers that came out this week were staggering: * Google: $175-185B in 2026 capex (vs $91.4B in 2025) * Amazon: $200B in 2026 (vs $131.8B in 2025) * Meta: $115-135B in 2026 (vs $72B in 2025) * Microsoft: On track for \~$150B That's over $640 billion in a single year from just four companies. More than Sweden's entire GDP. And the market didn't just question it; it punished it brutally. **This is exactly what we warned about** In our original post from December, we explained Burry's core thesis. Hyperscalers depreciate GPUs over five to 6 years, treating them as long-lived assets. But technology advances so rapidly that these chips become economically obsolete in two to 3 years. Not because they break, but because newer chips offer 30 times better performance per watt, making the old ones too expensive to operate competitively. When you depreciate hardware over 6 years but need to replace it every 3 years to stay competitive, you're systematically understating the true cost of your infrastructure. And more importantly, you're setting yourself up for a cash flow crisis when the replacement cycle catches up. What makes this week so remarkable is that Burry's thesis is no longer speculative. It's showing up in the actual financial statements and earnings calls. As capex-to-revenue ratios spike into the high 20s and low 30s, free cash flow conversion weakens, even with solid revenue growth, because cash is being reinvested rather than returned to shareholders. **Counter argument** The bull case has always been straightforward: AI will generate enough incremental revenue and productivity gains to justify every dollar of infrastructure spending. Enterprise AI adoption is accelerating, cloud margins are expanding, and the productivity improvements from AI tools could reshape entire industries. If hyperscalers can successfully monetize their AI capabilities at scale (through higher cloud prices, new AI product revenue, or operational efficiencies that dwarf the capital costs), then today's spending becomes tomorrow's competitive moat. That's the thesis that justified every dollar of spending through 2025. But this week's market reaction suggests investors are starting to question whether the math actually works. And that's where Burry's thesis comes into the picture. *Note: The broader $1 trillion software wipeout also reflects mounting fears that advancing AI tools will disrupt and cannibalize traditional SaaS business models.* *Disclaimer: This article presents analysis and opinion, not investment recommendations. We may hold positions in the stocks discussed. Past performance of any investment strategy, including those of Michael Burry, does not guarantee future results.*