Description

Dario Amodei wasn't done at Davos. Beyond the software engineering prediction, he called the Trump administration's decision to sell advanced chips to China "crazy" — comparing it to selling nuclear weapons to North Korea. But how much of the AI transformation is actually happening right now, in measurable terms?

Today we ground the Davos rhetoric in Anthropic's own Economic Index data, released last week. The findings: AI currently augments about a fifth of tasks across the US economy. Productivity gains are real — but lower than the headline estimates once you account for reliability. And the biggest gains are going to complex, high-skill work, not routine tasks.

Meanwhile, the industry faces a reckoning: 2026 is the "show me the money" year. $500 billion in infrastructure spend needs to start producing returns.

In this episode:

• Amodei's chip comments — why he thinks selling H200s to China is a catastrophic mistake
• The Economic Index reality check — what the data actually shows about AI productivity
• The complexity gradient — why senior professionals are gaining more than juniors
• The ROI pressure — what happens when boards stop counting tokens and start counting dollars

Links:

• Anthropic Economic Index: anthropic.com/research/economic-index
• Axios: "AI in 2026: Show me the money"

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