A senior economist at payments giant Stripe has concluded that artificial intelligence is not the engine behind the recent US productivity surge — a finding that could rattle assumptions underpinning a wave of crypto infrastructure investments.
The finding that cuts against the grain
The economist, whose work was published this week, analyzed productivity data from the past two years and found no statistical link between the adoption of AI tools and the uptick in output per hour. Instead, the gains appear tied to more mundane factors: labor reallocation, supply-chain normalization, and a post-pandemic bounce in capital spending. The report stops short of saying AI has no effect, but it argues the technology's contribution so far is negligible.
That conclusion runs counter to the bullish narrative that has fueled a surge in venture funding for AI-related crypto projects — decentralized compute networks, data provenance layers, and GPU-backed tokens. If the productivity payoff is years away, the thesis that these projects will ride a wave of AI-driven demand looks shakier.
Over the past 18 months, a growing number of blockchain startups have pitched themselves as the infrastructure layer for an AI-powered economy. The pitch goes like this: as companies race to deploy AI, they'll need decentralized storage, verifiable compute, and token-based marketplaces for training data. Stripe's economist suggests that race may be slower than the hype implies.
That doesn't mean the projects are doomed — but it does mean the timeline for real-world adoption could stretch. Investors who piled into tokens like Render, Akash, and Filecoin on the assumption that AI demand would materialize in 2026 may need to recalibrate. The same logic applies to layer-1 blockchains that have positioned themselves as AI-native.
A reality check for the hype cycle
The timing isn't great. Crypto markets have already been under pressure from regulatory uncertainty and a pullback in retail interest. A reassessment of the AI-crypto crossover could accelerate the rotation out of infrastructure plays and back toward simpler use cases like payments and stablecoins — the very area Stripe itself has been expanding.
Stripe's economist didn't comment on crypto directly, but the implication is clear: if the productivity gains aren't there, the capital that was chasing AI infrastructure may start looking elsewhere. For crypto builders, that means the burden of proof just got heavier.
What happens next? The economist's paper is likely to be debated at upcoming industry conferences, and a few crypto funds have already begun asking portfolio companies to provide more granular metrics on AI-related revenue. The next quarterly earnings from publicly traded crypto miners and infrastructure firms will be watched closely for any sign of a slowdown in AI-linked contracts.
