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Workers' share of U.S. economic output dropped to 53.8% last quarter. That's the lowest reading in the BLS data series — a series that goes back to 1947.

Meanwhile, Morgan Stanley projects hyperscaler AI capex of $1.1 trillion next year. That's 3.3% of GDP. More than the country spends on national defense.

Different pies. The owners' pie keeps growing. Yours got smaller.

Which is why an AI crash, weirdly, wouldn't hurt you much.

TLDR: The WSJ's Greg Ip just argued a sudden AI bust would barely dent the average paycheck. The reason isn't comforting — it's that workers were never capturing the boom in the first place. Below: where the money actually went, and a prompt that scores your personal capital-vs-labor exposure with three moves to shift it.

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The Reframe

Greg Ip's May 7 Capital Account column made a counterintuitive argument: maybe an AI investment bust wouldn't hurt so much after all.

The usual story about an AI crash is catastrophe. Trillions in capex evaporate. Stock market tanks. Wealth destruction.

But Ip's data flips that. AI is sitting on top of the economy like a hurricane-strength weather system, distorting stocks, profits, and growth rates upward. It is also, in his words, "depressing workers and wages."

So if the boom popped, what would actually unwind?

  • The Mag-7's share prices (which would tank capital owners' wealth)

  • Hyperscaler capex (which mostly flows to each other and Nvidia)

  • The boost to GDP growth (much of which leaked abroad through imported equipment)

What wouldn't unwind?

Your paycheck. Because it never went up in the first place.

That isn't comfort. That's a diagnosis. The reason a bust wouldn't hurt the average worker is the same reason the boom never reached them.

Where the Money Actually Went

Four numbers that tell the story:

  • 53.8% — workers' share of U.S. economic output last quarter, a record low since 1947

  • 3.3% — projected hyperscaler AI capex as a share of next year's GDP, exceeding national defense

  • 39% — AI-related categories' share of total U.S. GDP growth through Q3 2025, per the St. Louis Fed

  • 26.2% — the Mag-7's forward profit margin, more than double the 11.9% for the rest of the S&P 500

The growth is real. The participation isn't.

The Prompt (Copy This)

You can't fix the macro. You can audit where you personally sit in the capital-vs-labor divide — and what specific moves would shift you. The prompt below scores your exposure 0-10, ranks three realistic moves by fit, and names the one move you almost certainly won't make.

This week's prompt
Score your AI capital-vs-labor exposure
A personal economic strategist that interviews you about your income, equity, industry, and constraints — then scores your AI capital exposure 0-10 and ranks three realistic moves to shift you up.
Open the prompt →
Run in ChatGPT or Claude in one click.

Prompt Proof Table

Same prompt. Four readers. Four very different scores.

Reader Capital Exposure Score Top Move to Shift
Marketing Manager (B2B SaaS, W-2, light 401k) Almost entirely labor-side. Some passive equity exposure via index funds. 2 / 10 Negotiate even modest RSU grants at next review; max out 401k match.
Senior Engineer at Hyperscaler ($400k, 60% RSUs) Capital-side, but dangerously concentrated in a single ticker. 7 / 10 Diversify out of single-company exposure quarterly; the concentration is the risk.
Sales VP at growing SaaS ($250k, vested options) Blended. Equity stake exists but small relative to base. 5 / 10 Shift comp mix toward higher equity %; build outside-employer portfolio.
Service Business Owner (no AI leverage, $1M business value) Labor-like cash flow. Business equity exists but illiquid and non-AI. 3 / 10 Integrate AI tools to widen margins; build personal equity portfolio.

Same prompt. YOUR situation. Try it.

If an AI bust happened tomorrow, you'd be one of the people who wouldn't notice.

Whether that's reassuring or alarming depends entirely on whether you'd planned to be.

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