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

March 26, 2026

AI Summary

5 min read

The core argument of the paper "The Simple Economics of AGI" is that the binding economic constraint is shifting from human cognition to verification. For 300,000 years, human intelligence was the scarce resource that limited progress. As AI makes cognition cheap and abundant, the new bottleneck becomes the human capacity to check, validate, and sign off on AI output. This shift redefines which jobs are valuable, which are at risk, and where the economy's center of gravity is moving.

The New Scarcity: From Cognition to Verification

The paper's central claim is that anything that can be measured can be automated. As AI ingests the entire web, all books, and every digital trace, it becomes a cheap substitute for any task where the inputs and outputs are measurable. This means the binding constraint on progress is no longer human intelligence, but the human ability to verify that AI output is correct, safe, and aligned with intent.

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What you'll learn

1 (00:02) **Episode Introduction & Guest Background** - Ryan and David introduce Christian Catalini, an economist and MIT scientist who co-created the Diem project at Facebook and wrote an early paper on blockchain economics.
2 (03:41) **The Low-Grade Anxiety Around AI** - Christian acknowledges the widespread anxiety, especially among those close to code, and explains why the doomer view is premature.
3 (06:35) **Who Gets Hit First and Hardest?** - Christian breaks down which jobs are most at risk and introduces the "missing junior loop."
4 (10:55) **Taste, Judgment, and the Primacy of Measurement** - Christian argues that "taste" and "judgment" are vague copes; the real distinction is between measurable and not-yet-measurable.
5 (13:45) **The Jagged Frontier and the "Missing Junior Loop"** - AI's impact is jagged, hitting entry-level roles hardest because they lack tacit knowledge.
6 (16:06) **Cognition Is No Longer the Binding Constraint** - For 300,000 years, human cognition was the bottleneck; now, machine intelligence is abundant and cheap.
7 (20:17) **Defining Verification** - Christian explains verification as applying your unique "weights" (personal experience and calibration) to decide if AI output is up to standard.

+ Full timestamped outline available in the app

Show Notes

MIT economist Christian Catalini joins Ryan and David to unpack his new paper, "Some Simple Economics of AGI," which argues that the scarce resource in the AI economy is no longer intelligence but verification: the human capacity to check, judge, and certify that AI output is correct. Christian walks through the two cost curves reshaping every industry (cost to automate vs. cost to verify), explains why entry-level jobs are collapsing first through what he calls the "missing junior loop," why even top experts are unknowingly training their replacements (the "codifier's curse"), and maps out the three roles that survive the transition: Directors, Meaning Makers, and Liability Underwriters.

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TIMESTAMPS

0:00 Intro
3:42 The Low-Grade Panic
6:43 Who Gets Hit First, and Hardest?
13:06 Coding as Canary, or Exception?
16:21 Human Cognition Was the Binding Constraint
19:59 What Is Verification, Exactly?
29:10 The Codifier's Curse
31:21 The Expanding Iceberg: Non-Measurable Work
38:32 The Two Racing Cost Curves
41:59 Trojan Horse Externality
48:46 The Four Quadrants: Where Do You Want to Be?
54:12 Liability Underwriters and the Venture Capital Parallel
55:41 Directors: Navigating Unknown Unknowns
59:49 60-80% of Your Job Can Be Displaced
1:06:24 Button Pushers vs. Founders: The Great Resorting
1:12:08 The Luddite Risk: Political Backlash Against AI
1:17:30 What Companies and Investors Should Do
1:22:56 The Crypto Connection
1:25:11 Don't Panic: A Closing Playbook

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