美联储任命AI投资人Marc Andreessen加入工作组，研究AI对经济影响
The Fed wants AI investor Marc Andreessen to help figure out if AI can tame inflation
美联储主席Kevin Warsh任命风险投资人Marc Andreessen加入名为“生产力与就业”的工作组，研究AI等基础技术对经济的影响。该工作组是美联储7月9日宣布的五个工作组之一，由Andreessen、在Anthropic任职的斯坦福经济学家Charles I. Jones以及微软高管Asha Sharma共同主持。Warsh认为AI将成为“显著的通缩力量”，通过提升生产率和经济产出潜力来缓解价格压力，为降息创造空间。但部分美联储官员和经济学家警告，AI基础设施建设将先推高资本、芯片、能源和原材料需求，造成通胀压力。德意志银行估计，到2030年AI数据中心累计投资可能超过4万亿美元。美联储理事Michael S. Barr表示，AI热潮不太可能成为降低政策利率的理由。
Fed Chair Kevin Warsh has appointed venture capitalist Marc Andreessen to advise the Federal Reserve on how AI could reshape the economy.
According to the Washington Post, Andreessen is one of three co-chairs of a working group called "Productivity and Jobs." It's one of five working groups whose leadership and goals the Fed announced on Thursday, July 9, 2026. The group is tasked with studying the effects of new foundational technologies, including AI.
Alongside Andreessen, the group is co-chaired by Stanford economist Charles I. Jones, currently on leave at AI company Anthropic, and Microsoft executive Asha Sharma. Andreessen also sits on Trump's President's Council of Advisors on Science and Technology.
Why AI could shape interest rate decisions
The working group matters for monetary policy because Warsh believes AI can hold down price growth. In a Wall Street Journal op-ed from November 2025, he wrote that AI would be a "significant disinflationary force." His argument: widespread AI adoption could boost productivity and expand the economy's output potential, easing price pressure and giving the Fed room to cut rates.
That chain of logic isn't airtight, though. Higher expected incomes and stronger investment demand could also push up the neutral interest rate. Warsh himself admitted, according to Reuters, that the Fed can't yet reliably gauge the productivity effect. He draws parallels to former Fed Chair Alan Greenspan, who from mid-1996 through late 1998 largely resisted calls for higher rates, raising the federal funds rate only once, slightly, in March 1997.
Not everyone agrees: Some Fed officials and economists warn that building out AI infrastructure will first drive up demand for capital, chips, energy, and raw materials, creating price pressure before broader productivity gains kick in. Deutsche Bank estimates, according to Reuters, that cumulative AI data center investment could top four trillion dollars by 2030. The effect is already visible in memory chips.
On the energy side, Fed officials warn about inflationary risks from potential grid bottlenecks and supply constraints. Fed Governor Michael S. Barr said in a February 17, 2026 speech: "I expect that the AI boom is unlikely to be a reason for lowering policy rates." Over the long term, however, even Barr expects positive productivity effects.
The appointment also raises conflict-of-interest questions, since Andreessen's firm Andreessen Horowitz has invested heavily in AI companies.
来源：The Decoder：AI News · the-decoder.com