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title: Can AI answer the $3 trillion question? | daily.dev
description: Sequoia&#x27;s David Cahn has updated his AI ROI analysis, estimating that the industry must generate $3 trillion in revenue to justify 2026&#x27;s $1.5 trillion in AI...
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# Can AI answer the $3 trillion question?

**[TechCrunch](https://daily.dev/sources/tc)** · 3 min read · 1 upvotes · 0 comments

## Summary

Sequoia's David Cahn has updated his AI ROI analysis, estimating that the industry must generate $3 trillion in revenue to justify 2026's $1.5 trillion in AI infrastructure spending. Apollo chief economist Torsten Slok warns that if hyperscalers like Google, Meta, Microsoft, and Amazon fail to hit their projected 2028 free-cash-flow targets, the fallout could extend beyond the tech sector into a broader economic recession. Complicating the picture: token prices are falling, cheaper open-weight models are gaining adoption, and OpenAI's latest model is 54% more token-efficient on coding tasks — good for users, potentially bad for the companies building AI infrastructure.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://techcrunch.com/2026/07/09/can-ai-answer-the-3-trillion-question>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#openai](https://daily.dev/tags/openai), [#anthropic](https://daily.dev/tags/anthropic), [#ai-infrastructure](https://daily.dev/tags/ai-infrastructure)

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