NYDIG research lead Greg Cipolaro argues that advances in artificial intelligence could ultimately help Bitcoin by reshaping growth, employment and monetary policy. In a research note, Cipolaro likened AI to a general-purpose technology—similar to electricity—whose broad macroeconomic effects will matter for risk appetite and crypto assets.
Cipolaro outlined two contrasting scenarios. If AI-driven growth comes with expanding liquidity and contained real interest rates, that environment could be supportive for Bitcoin. By contrast, if stronger growth lifts real yields and prompts tighter policy, Bitcoin could face headwinds. He also suggested a third pathway: if AI generates labor disruption or market volatility that triggers fiscal expansion or easier monetary policy, the resulting liquidity impulse would likely be favorable for Bitcoin.
Signs of AI’s labor impact are already appearing. Companies are citing AI in workforce restructurings; for example, Jack Dorsey said payments firm Block would reduce staff by roughly 40% because of AI-driven changes, and he predicted other firms could follow. A Goldman Sachs study from August estimated that widespread AI adoption could displace up to about 7% of the U.S. workforce while also creating new roles.
Cipolaro acknowledged the transition will be challenging: firms will need to redesign workflows, invest in new technology, and workers will need new skills. He expects historical patterns of technology adoption to repeat—AI will be integrated rather than simply rendering labor obsolete. Firms that adopt AI effectively should widen productivity and margin gaps; workers who adapt can enhance their relevance, while those who resist may fall behind.
AI is also making inroads inside crypto. Coinbase in October introduced Payments MCP, a tool that gives AI agents access to on-chain financial capabilities. Executives noted potential efficiency gains but warned that such integrations introduce novel risks alongside benefits.
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