# Stratechery: Agents Over Bubbles, Why AI Agents Signal Real Economic Value

> In this piece, Ben Thompson takes direct aim at the growing chorus calling AI a bubble, and argues the opposite: that demand is real and the spending is justified. His case rests on three shifts. ChatGPT in 2022 proved the raw potential of language models but still demanded a lot of hand-holding from users. The reasoning models that followed, like o1 in 2024, cut down hallucinations by having the system verify its own work internally. And agents, arriving in late 2025, closed the loop with autonomous systems that direct models, execute tasks, and check the results. The economic argument is that each step lowered the barrier to getting real value out of AI, which is why enterprises are willing to pay. Thompson reads that willingness as concrete demand for productivity, not speculative froth, and uses it to justify the enormous capital expenditure the hyperscalers are pouring into infrastructure. You do not have to fully buy the conclusion to find the framing useful. Whether or not this is a bubble, the distinction Thompson draws, between technology that impresses and technology that people reliably pay to use, is the right lens for judging any of it.

_Section: [Interesting AI Articles](https://www.wortins.com/articles) · Source: Stratechery · Published Saturday, August 1, 2026_

## Wortins' read

In this piece, Ben Thompson takes direct aim at the growing chorus calling AI a bubble, and argues the opposite: that demand is real and the spending is justified. His case rests on three shifts. ChatGPT in 2022 proved the raw potential of language models but still demanded a lot of hand-holding from users. The reasoning models that followed, like o1 in 2024, cut down hallucinations by having the system verify its own work internally. And agents, arriving in late 2025, closed the loop with autonomous systems that direct models, execute tasks, and check the results. The economic argument is that each step lowered the barrier to getting real value out of AI, which is why enterprises are willing to pay. Thompson reads that willingness as concrete demand for productivity, not speculative froth, and uses it to justify the enormous capital expenditure the hyperscalers are pouring into infrastructure. You do not have to fully buy the conclusion to find the framing useful. Whether or not this is a bubble, the distinction Thompson draws, between technology that impresses and technology that people reliably pay to use, is the right lens for judging any of it.

## Source

[Read the full story at Stratechery](https://stratechery.com/2026/agents-over-bubbles/)

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