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Paolo Ardoino, the CEO of the world’s largest stablecoin issuer, laid out a detailed critique of Big Tech’s AI infrastructure spending on July 4, identifying what he called structural risks baked into the current capital expenditure frenzy. His core argument is straightforward. Companies are pouring unprecedented sums into data centers, GPUs, and power capacity while profits remain stubbornly distant and open-source competitors keep chipping away at any pricing power.
Four mismatches that should worry everyone
Ardoino’s warning zeroes in on four specific economic mismatches in the AI sector. First, compute token prices don’t accurately reflect their true underlying costs. Second, there’s a gap between the massive upfront investments required and the timeline to profitability. Third, the capital maturity timelines are misaligned with hardware lifespans. AI chips depreciate in roughly 3 to 5 years, but the debt and equity structures financing them often assume much longer payback periods. Fourth, open-source AI models are eroding the commercial revenues that were supposed to justify all this spending.
The numbers are staggering
JPMorgan projects that global AI-related spending could hit $5.5 trillion by 2030, a figure the bank revised upward in June 2026. Goldman Sachs estimates that just four companies, Microsoft, Meta, Amazon, and Alphabet, will account for roughly $5.3 trillion in spending between 2025 and 2030.
Hyperscaler capital expenditures alone are expected to climb from $650 billion in 2026 to over $1.1 trillion in 2027. The major players are targeting $725 billion in 2026, representing a 77% year-over-year increase.
The Bureau of Economic Analysis reported that growth in the information sector slowed to just 1.5% in Q1 2026. Companies like Amazon and Uber have reportedly pushed back internally on rising AI-related costs.
Why the Tether CEO cares about AI
This isn’t Ardoino’s first time sounding the alarm. In December 2025, he stated that an AI bubble posed the biggest risk to Bitcoin in 2026. His logic: if AI stocks correct sharply, the contagion could spread to correlated assets, including crypto. Institutional portfolios that hold both Nvidia and Bitcoin would likely face margin calls that force selling across the board.
Tether has been investing in AI infrastructure and pushing for decentralized alternatives through initiatives like QVAC, positioning itself at the intersection of stablecoins and decentralized AI.
What this means for crypto investors
Traders should watch two signals closely. First, whether hyperscaler earnings begin showing deteriorating returns on AI capital expenditure. Second, whether open-source model adoption accelerates to the point where it meaningfully undercuts commercial AI pricing. The 77% year-over-year jump in planned spending for 2026 leaves very little margin for error if revenue growth doesn’t follow.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
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