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Sorkin Warns of Risks Whether AI Bet Pays Off or Not

June 15, 2026 at 04:31 EDT

Infra & Chips
Funding & M&A
AI Agents

Financial journalist Andrew Ross Sorkin warns that the AI boom carries risk in both directions — if the massive investment fails to pay off, and if it does — drawing parallels between 2026 markets and 1929. Speaking on the podcast "Trumponomics" (hosted by Stephanie Flanders), Sorkin expressed concern that hundreds of billions of dollars flowing into AI are propping up the economy "almost artificially."

The AI Boom · An "Eerie Parallel" to 1929

Heads You Lose, Tails You Lose: The Double-Edged Risk of the AI Spending Boom

Andrew Ross Sorkin warns the danger runs both ways — if the enormous AI buildout fails to pay off, it could trigger a credit chain reaction; if it succeeds, the blow to jobs and incumbents could be severe.

$600–690B

Hyperscaler AI capex in 2026 alone

$7T+

Capex needed 2026–2031 to justify the bet

~$140B

Estimated OpenAI losses, 2024–2029

2026 AI Capex Outlook, by Company

Each column scaled to its dollar value (USD billions)

~$200B

Amazon

$175–185B

Alphabet

$115–135B

Same ingredients, new technology — as guardrails are removed

Speculative excess

Deregulation

Leverage (private credit)

New tech: radio → AI

On the Ground: Returns Are Lagging the Hype

95%

of GenAI pilots failed to reach measurable returns

42%

of firms abandoned much of their AI initiatives — up from 17% a year earlier

29%

reported "significant returns" — though 66% saw productivity gains

If AI fails

Huge investment losses and a chain of credit contraction — pain amplified by debt-financed buildout.

If AI succeeds

Surging productivity could deal a severe blow to incumbent firms and employment.

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