The Economics of AGI: Why Verification Is the New Scarcity w/ Christian Catalini

As AI automates measurable work, verification becomes the scarce bottleneck—this episode explains how to adapt, invest, and build verification-first strategies.

Key Takeaways

Verification scarcity: As models automate measurable tasks, human verification becomes the limiting resource—focus on building tools and workflows to check agent outputs reliably.
Career moves: Target roles as a director, verifier, or meaning-maker—coordinate agents, provide final judgment, or create human-consensus value resistant to automation.
Company strategy: Invest in verification infrastructure, proprietary ground-truth, cryptographic provenance, and insurable agent outputs to capture verified intelligence.
Systemic risk: Rapid automation and low costs create Trojan-horse externalities—Goodhart effects and alignment drift can hide accumulating, catastrophic failures.
Creative & expert edge: AI excels at repetitive measurable work; humans retain advantage in novel insight, social coordination, and rare expert filtering for edge cases.
12‑month actions: Experiment with AI tools, map replaceable tasks, turn promising hobbies into businesses, and prioritize verification-centered projects and investments.

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