# Agents Over Bubbles

> In Agents Over Bubbles, Stratechery's Ben Thompson takes on the growing chorus calling AI a bubble, and argues the opposite: that the enormous spending on compute is justified because agentic AI represents a real paradigm shift, not a speculative mania. His frame identifies three such shifts, ChatGPT in 2022, reasoning models like o1 in 2024, and agent harnesses wrapped around models like Opus in 2025, each demanding exponentially more compute than the last. The core of the case is why agents change the economics. An agent makes many model calls to complete a task, so heavier usage is a feature of the workload rather than waste, and a single person can now direct multiple agents at once, lowering the barrier to putting AI to work. That, Thompson argues, is demand with real substance behind it. He also makes a pointed competitive claim: that an agent's edge comes from tight integration between model and harness, which favors labs like Anthropic and OpenAI that control both. Whether or not you buy the whole thesis, it is one of the sharper counters to the bubble narrative going around.

_Section: [Interesting AI Articles](https://www.wortins.com/articles) · Source: Stratechery · Published Sunday, July 19, 2026_

## Wortins' read

In Agents Over Bubbles, Stratechery's Ben Thompson takes on the growing chorus calling AI a bubble, and argues the opposite: that the enormous spending on compute is justified because agentic AI represents a real paradigm shift, not a speculative mania. His frame identifies three such shifts, ChatGPT in 2022, reasoning models like o1 in 2024, and agent harnesses wrapped around models like Opus in 2025, each demanding exponentially more compute than the last. The core of the case is why agents change the economics. An agent makes many model calls to complete a task, so heavier usage is a feature of the workload rather than waste, and a single person can now direct multiple agents at once, lowering the barrier to putting AI to work. That, Thompson argues, is demand with real substance behind it. He also makes a pointed competitive claim: that an agent's edge comes from tight integration between model and harness, which favors labs like Anthropic and OpenAI that control both. Whether or not you buy the whole thesis, it is one of the sharper counters to the bubble narrative going around.

## Source

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

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