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Ben Thompson quote, Jul 20, 2026

Author, Stratechery · Jul 20, 2026 · Post, Who's Afraid of Chinese Models?

Second, intelligence isn’t in fact a perfect commodity, in part because applied intelligence makes itself smarter.

Primary source

Words found on the source page on Sep 25, 2026.

More from Ben Thompson

Quote
A world with sufficient compute is one where intelligence is a commodity, and in commodity markets margin comes from a superior cost structure, which I would expect the leading model providers to have, in part because they have a meaningful lead in scaling and can apply superior AI to their infrastructure.Sep 21, 2026· Post
Indeed, that’s probably the overhang that matters most of all: competition. Anthropic is fine with Anthropic being in the lead; anyone else requires government intervention.Sep 21, 2026· Post
Once you have put all of your information into a personal agent and actually incorporated it into your day-to-day life, it is much more of a challenge to change to something else.Sep 21, 2026· Post
Pure capability no longer translates directly into a moat.Sep 21, 2026· Post
The fact of the matter is that LLMs are, if anything, too obsequious; there simply isn’t any evidence of LLMs having a will or operating with malevolence.Sep 21, 2026· Post
Truly effective defense will mean truly trusting agents to act autonomously, but most companies won’t do that until they are forced to by regular and unremitting hacks by fully autonomous attackers.Sep 21, 2026· Post
What this means is that model performance isn’t the only thing that matters: the integration between model and harness is where true agent differentiation is found.Sep 21, 2026· Post
And, in the long run, this imperative to move up the stack does mean that frontier models are absolutely a threat to software providers, including Microsoft.Jul 20, 2026· Post
The long and short of it is this: marginal costs are back in a big way, both in terms of short-term implications of state-of-the-art free models, and in terms of the long-term structure of the industry.Jul 20, 2026· Post
The reason this matters is that we are rapidly approaching a state in which intelligence for many economically beneficial tasks is in fact a commodity.Jul 20, 2026· Post
Agents, however, will tilt much more heavily towards pure acceleration, making those drivers of value much more impactful.March 2026· Post
AI, however, not only gives the aforementioned excuse to undo that bloat, but also moves the “rightsize” point significantly towards a much smaller workforce.March 2026· Post
I’ve come to a different conclusion: I don’t think we’re in a bubble (which, paradoxically, maybe is the truest evidence we are).March 2026· Post
The economic imperatives are going to be impossible to resist, and will fuel demand for even more compute over time, further supporting the case that this is no bubble.March 2026· Post
Yes, AI still needs agency; it just doesn’t need agency from that many people for its impact to be profound.March 2026· Post

On the same topics

Quote
As LLMs continue to scale up, the value of any particular source continues to diminish.Kevin KellySep 7, 2026· Post
Much, if not most, of the value of LLMs derives from their ability to generate new benefits beyond what the source material alone can yield.Kevin KellySep 7, 2026· Post
The obvious AI variant is to let your users opt in to training your model on their interactions with it. Many will resist that, but if some don't, the model they get to use will outperform the vanilla one used by the others.Paul GrahamSeptember 2026· Essay
Our customers trust us to provide them with maximal control over their operations, data, and decisions. Their competitive advantage should never become the training data for future models.Alex KarpAug 3, 2026· Earnings
If learning flows in only one direction, economic value converges toward the owners of the learning infrastructure rather than the creators of the knowledge itself.Satya NadellaJul 12, 2026· Post
In the AI age, the buyer risks giving away knowledge, just in order to use what they bought. You essentially pay for intelligence twice, once with money, and again with something even more valuable: the proprietary knowledge you must reveal to make that intelligence useful.Satya NadellaJul 12, 2026· Post
About this quote
Said by
Ben Thompson, Author, Stratechery
Where
Who's Afraid of Chinese Models?
Topics
Data
Company
Stratechery
Source
stratechery.com/2026/whos-afraid-of-chinese-models/

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