Home Speakers Ben Thompson Quote AI, however, not only gives the aforementioned excuse to undo that bloat, but also moves the “rightsize” point significantly towards a much smaller workforce.
Words found on the source page on Nov 6, 2026.
More from Ben Thompson Blog Frontier Overhangs Sep 21, 2026
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. Blog Frontier Overhangs Sep 21, 2026
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. Blog Frontier Overhangs Sep 21, 2026
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. Blog Frontier Overhangs Sep 21, 2026
Pure capability no longer translates directly into a moat. Blog Frontier Overhangs Sep 21, 2026
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. Blog Frontier Overhangs Sep 21, 2026
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. Blog Frontier Overhangs Sep 21, 2026
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. Blog Who's Afraid of Chinese Models? Jul 20, 2026
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. Blog Who's Afraid of Chinese Models? Jul 20, 2026
Second, intelligence isn’t in fact a perfect commodity, in part because applied intelligence makes itself smarter. Blog Who's Afraid of Chinese Models? Jul 20, 2026
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. Blog Who's Afraid of Chinese Models? Jul 20, 2026
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. Blog Agents Over Bubbles March 2026
Agents, however, will tilt much more heavily towards pure acceleration, making those drivers of value much more impactful. Blog Agents Over Bubbles March 2026
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). Blog Agents Over Bubbles March 2026
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. Blog Agents Over Bubbles March 2026
Yes, AI still needs agency; it just doesn’t need agency from that many people for its impact to be profound.
On the same topics Blog The Overhang Sep 18, 2026
In fact, the new GPT-6 Astra and Fable 5.1 are already enough for transformative impact in large sections of the economy and they can reliably do weeks worth of human work when properly guided and harnessed. Blog The Overhang Sep 18, 2026
Making great things with AI means knowing which AI outputs to keep, which to discard, and which to use as raw material for something the AI would never have generated on its own. Blog The Overhang Sep 18, 2026
My point is that, while there is a lot of debate over what future models will do, the current capabilities of existing models are barely being used, and are often not even well understood. Blog The Overhang Sep 18, 2026
The capability overhang, the gap between what these models can do and what almost anyone is doing with them, is an opportunity because most people don't bring their own advantages to AI, and those who do get much more out of it. Blog The Overhang Sep 18, 2026
You are not trying to compete with AI in producing outputs, that is a losing game. Instead, you want to use your human advantages as basis of working with AI to do things that neither of you could do alone. Blog I do not want your brains to rot Sep 17, 2026
Cognitive offloading is a strategic delegation that costs nothing. Cognitive surrender is something different; an uncritical abdication of reasoning itself. And there is something about AI, about its allure and potency, that could make surrender far more widespread. About this quote 
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