The Economist ran a story on big tech free cash flows last week. Pretty interesting article. "America's biggest companies have gone from printing money to burning it."
u/JoeInOR ·
Reddit — r/ValueInvesting
· May 18, 2026 at 14:24
· ⬆ 15 pts
· 💬 15 comments
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Summary
The post analyzes The Economist’s article on big tech’s deteriorating free cash flow due to massive AI capex, citing net income growth of $157B but a $10B decline in true free cash flow across 43 companies.
Author highlights $820B in off-balance-sheet data center lease commitments (up from $270B) and a back-of-napkin ROI of ~7.3% on $1.1T in AI investment, arguing it’s comparable to MLP energy yields but with higher risk.
Thesis: The AI buildout is destroying shareholder value, and current market valuations ignore cash flow realities; the author prefers real, tangible MLP energy investments.
Quality assessment: Well-researched due diligence with specific SEC/Edgar data and Economist sourcing, but the ROI calculation is speculative; leans toward informed skepticism.
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The Economist just ran this on "big tech" free cash flows: [https://www.economist.com/business/2026/05/13/big-tech-is-sacrificing-its-cashflows-to-prop-up-the-ai-boom](https://www.economist.com/business/2026/05/13/big-tech-is-sacrificing-its-cashflows-to-prop-up-the-ai-boom)
I love this line: "America's biggest companies have gone from printing money to burning it."
Because I have my trusty SEC/Edgar database, I can go more into depth on the math:
Across 43 big tech companies in 2025: — Net income grew $157B — True free cash flow shrank $10B — CapEx grew $170B
The market seems to be reacting to the income growth, but the cash flow isn't following.
The Economist also found something my screener doesn't have (still struggling to get quarterly data): $820B in off-balance-sheet data center lease commitments, up from $270B a year ago. A banker told them: "When we ask our lawyers to find ways a hyperscaler might wriggle away from a lease contract, often they come back with a very long list."
In plain English: the financing underpinning the entire AI buildout may be more renegotiable than the bond buyers funding it realize.
Back of napkin on the $800B 2026 CapEx projection: if 10% of Americans pay $1,000/year for AI and every Fortune 500 spends $100M/year, that's $80B in revenue on $1.1T in cumulative AI investment. 7.3% ROI assuming it all flows back to the hyperscalers, which it won't. I can already earn 6-10% on MLP energy investments. Real, tangible money.
Full piece here: [https://cavemanscreener.substack.com/p/bridges-to-nowhere-part-ii-the-economist](https://cavemanscreener.substack.com/p/bridges-to-nowhere-part-ii-the-economist)
43 big tech companies saw CapEx surge $170B while free cash flow shrank $10B; $820B in off-balance-sheet lease commitments create hidden liabilities. The market is pricing income growth but ignoring cash flow deterioration and lease risk; a re-rating could occur as AI ROI disappoints. Short large-cap tech (Nasdaq 100) as the AI capex cycle peaks and cash flow reality sets in. AI revenue materializes faster than expected; Fed policy supports risk assets; capex cuts could stabilize cash flows.
Author notes MLP energy investments yield 6-10% with “real, tangible money” compared to AI buildout’s theoretical 7.3% ROI. As big tech cash flows fade, capital may rotate to income-generating, asset-backed energy MLPs (midstream infrastructure). Long AMLP as a safer yield alternative to AI-heavy tech, benefiting from stable cash flows and lower risk. Energy prices decline; regulatory changes on MLPs; big tech AI revenue surprises could reverse rotation.
This Reddit post, published May 18, 2026,
features u/JoeInOR
discussing QQQ, AMLP.
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