Wharton economist Sylvain Catherine said his outlook on artificial intelligence has “radically shifted,” citing deep uncertainty about both catastrophic and utopian scenarios. While he credits current tools such as Anthropic’s Claude with clear productivity gains and expects AI to lift GDP over time, he warned of substantial labor-market disruptions and criticized the pace of regulation. His comments arrive as policymakers and industry leaders float starkly different futures for AI—ranging from post-scarcity abundance to sweeping white-collar job losses—and as OpenAI and others push for clearer U.S. policy frameworks ahead of the 2028 election. Catherine argued that voters, increasingly skeptical of AI’s benefits, should help set the direction for governance.
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NIST AI Risk Management Framework (AI RMF 1.0)
OECD AI Principles
