Affordable housing cost $1.2M per unit in DC
Klein cited a Washington DC case where publicly funded affordable housing units cost approximately $1.2 million each to build.
Snapshot · Modern Wisdom
The Collapse of American Politics - Ezra Klein - #1114
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Jun 22, 2026
Where this was said
How Should We Regulate AI?
At 1:00:00 · chapter starts 59:47
Klein rejects the deregulation-versus-regulation framing on AI entirely: he wants much more AI regulation in some areas and much less friction in others. His central concern is power concentration — he has covered Demis Hassabis, Sam Altman, and Dario Amodei and does not want any of them holding unaccountable power. He notes the gap between OpenAI's stated desire for regulation and Greg Brockman's super PAC funding campaigns against AI regulation candidates. But Klein's more distinctive contribution is on the demand side: what should AI actually do for the public? He argues the private sector has an AI agenda (profit) while the public sector only has a list of things it wants to prevent. AlphaFold solved protein folding because the Protein Data Bank was the world's cleanest scientific database — a data infrastructure investment that enabled the breakthrough. The IRS already knows your income and writes much of the tax code: there is no technical reason it cannot build an LLM tax assistant. Orphan diseases — rare conditions like his wife's — receive little research funding because there is no market; an Operation Warp Speed-style advance market commitment could change that. The public needs to ask not just what it fears from AI but what it wants.
Market-rate housing built for half the cost of affordable
A developer in DC built affordable housing at ~$800K per unit while market-rate units next door cost ~$400K — the opposite of what the subsidy was meant to achieve.
We Need a Public Goods Agenda for AI — Not Just a List of Things to Prevent
The private sector has an agenda for AI — profit. The public sector only has a list of things it doesn't want AI to do. Klein argues for a positive public-goods vision: AI drug discovery for orphan diseases, an IRS LLM that does your taxes, government services made legible through AI. We need to ask what we want, not just what we fear.
AlphaFold solved protein folding using clean database
Klein cited AlphaFold as AI's most impressive achievement, made possible by the Protein Data Bank — arguably the world's cleanest scientific database.
IRS could do your taxes with an LLM — no reason it can't
Klein argues the IRS already has sufficient data to build an AI tax concierge that handles returns for most Americans, eliminating the need for accountants.
The IRS Could Do Your Taxes — There Is No Technical Reason It Doesn't
The IRS knows your income (ground truth) and writes much of the tax code. There is literally no technical barrier to building an LLM that files your taxes with you, saving millions of Americans accountant fees. The reason it doesn't exist is political will, not capability — and that's exactly Klein's point about needing a public-goods agenda for AI.
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