The evidence on AI’s effect on those who use it has been coming in, and it’s not good. While it doesn’t effect everyone, it seems to effect most people, and the worst affected, it seems, are the young. Olds have the advantage of growing up in world where they had to learn how to do things themselves. To be sure, phones and social media seem to have had a negative effect on attention span and learning ability, but AI is yet another assault, and it hits the young hardest.
This excerpt comes from a larger piece from a university professor on the inability of his students to read. The whole thing is worth reading, and the decline is truly precipitous: fundamentally most of them can’t read an entire book, and struggle even with long articles, and they can’t pull out the arguments made. The bit on AI follows:
Another reason for the decline in student reading capability is increasing reliance on generative AI. In June 2025, Nataliya Kosmyna and colleagues at the MIT Media Lab released a preprint titled “Your Brain on ChatGPT.” They divided 54 participants into three groups writing SAT-style essays — one using ChatGPT, the second group using a search engine, the last group using nothing — and monitored brain activity with a 32-channel EEG. The ChatGPT group showed the lowest neural connectivity of the three, with up to 55 percent reduced connectivity compared with the brain-only group, and “consistently underperformed at neural, linguistic, and behavioral levels.” Eighty-three percent of LLM users could not quote a single line from essays they had written minutes earlier. When the LLM group was forced to write without AI in a follow-up session, their brain activity did not bounce back to baseline; the researchers coined the term “cognitive debt” for the lingering deficit.
The fundamental strategy of a lot of tech startups has been to degrade pre-existing infrastructure by under-pricing, for years if necessary, until the old methods are so diminished that they can start charging monopoly pricing. Uber is the classic example: Ubers were far cheaper than taxis for about a decade. Now they’re often more expensive, if the taxis exist at all. Certainly where I live in Toronto, the Taxis did somewhat survive, and cost less.
But overall the strategy was a success, taxi companies were devastated and Uber’s doing great now. All it took was years of losses and predatory pricing: their model wasn’t superior, their product wasn’t superior except having a good app, but they had far more access to patient money, willing to take losses for years to get to the oligopoly pricing end-state.
Neither Anthropic nor Open AI are remotely profitable. Every single query costs more to run than is charged, even to paying clients. A recent increase in prices, still far below running costs, has hit users with massive bills. There’s no evidence AI is better than humans at most tasks, and the real cost (and sometimes, even subsidized, the current subsidized price) is higher than just having employees. AI is often faster, but it makes mistakes humans don’t, and needs to be checked.
But if you make your employees use it they’re going to be degraded and lose the ability to do their jobs well. The more you do something, the more your body and brain optimize for it. The less you do it, the worse you get.
AI’s strategy for replacing workers is threefold: first, sell executives on getting rid of pesky workers for AI, because it’s supposedly easier to manage.
Second: Subsidize while companies lay off the workers and replace them with AI. Once the workers are gone, jack up prices; and,
Third: by encouraging companies to force workers to use AI and to replace workers with AI in some cases, make the workers less capable: stupider. Over time as more and more people become dependent on AI to think and work for them, they will lose the ability to do the work themselves. AI may be shitty, but it will be better than the dullards AI makes its users into.
It’s an ingenious strategy, really. Make people stupid, and replace them with a product which costs more and is inferior to them for most tasks before they were made stupid.
The longer term issue will be that AI isn’t creative: it uses the embodied creativity of past humans, in terms of their writing and their discoveries to simulate intelligence. But as humans produce less and less new creative work, AI will be reduced to eating its own results, and indications are that leads to model collapse: AI’s are dependent on human, and by making humans redundant and stupid they will themselves become stupider and less effective over time.
We live in a time where we can’t look ahead, ever, at technology and make even the smallest effort to control the end results, it seem. At least in the West. Or, rather, we refuse to deal with obvious negative issues if doing so means a few people won’t be able to get as filthy rich.
Dumb.
And soon we’ll be even dumber.
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