The Goolsbee Rule: A Cautionary Tale for the AI Hype Machine

The Federal Reserve Bank of Chicago’s President and CEO, Austan Goolsbee, is not one to shy away from controversy. In a recent interview with Fortune, he delivered a dose of cold water to the debate surrounding artificial intelligence’s impact on the economy. While many experts predict transformative power for AI, Goolsbee remains focused on the struggles faced by ordinary Americans.

In his Jackson Hole speech last week, Federal Reserve Chairman Kevin Warsh highlighted inflation as the central bank’s top concern. With price rises outpacing the 2% target, it’s clear that something is amiss in the economy. Goolsbee agrees with Warsh’s assessment but approaches it with a more measured tone. He attributes the stability of employment to broad-based consumer spending growth.

Goolsbee is not dismissive of AI’s potential benefits but is skeptical about applying them too hastily to the current outlook. The Solow Productivity Paradox, which suggests that productivity may slow or lag expectations with technological advancements, resonates with him. A July Fed study noted that while sectors exposed to AI exhibit higher productivity growth, trends across organizations remain consistent over time – suggesting micro-level gains not adding up in aggregate.

Goolsbee’s concern is palpable: “It strikes me it’s a bunch of great technologists who are coming up with this… and they’ve already seen it not play out the way that they said.” He’s wary of applying AI-driven predictions to the current economic landscape, especially considering recent history. This is not just caution; it’s also a sign of a deeper understanding of how economies work.

In contrast, many experts promise a utopian future without acknowledging human behavior and technological implementation complexities. Goolsbee’s stance is refreshing because it’s grounded in reality – or, at least, as close to reality as we can get with our current data.

For the Federal Reserve, this means keeping a close eye on inflation and waiting to see if recent improvements have legs. Policymakers should also be cautious about making sweeping changes based on AI-driven predictions. As Goolsbee put it, “It’s fun to engage in the academic exercise of dreaming… but for the grubby day job of the Federal Open Market Committee, it’s not at all clear.”

Goolsbee’s words serve as a reminder that technology is just one piece of the economic puzzle. We must be careful not to get caught up in AI hype and forget about ordinary Americans with their “grubby day jobs.”