Ten Minutes With AI Can Weaken Your Ability to Persist Through Hard Problems

For two decades, Brian Christian has been thinking about how artificial intelligence changes not only the world around us but the minds inside our heads. His 2020 book The Alignment Problem was praised as one of the best books written on AI, and like many scientists he sometimes feels euphoric about the technology’s accelerating advances. When everyone has a fleet of autonomous agents on standby to speed up research, it is hard not to feel as if a life-changing discovery is only a few prompts away. Yet Christian also keeps a notebook on his desk and writes in it every day. The practice keeps him grounded and tamps down a gnawing suspicion that too much time working alongside AI could cause him to lose his own scholarly edge. He has good reason to worry, and he need only look to his most recent research for proof.

Christian, a research fellow with the UC Berkeley Center for Human-Compatible AI, was part of a team behind a landmark study that found that spending just ten minutes relying on an AI tool significantly impairs our ability to focus and persist with difficult tasks. A preliminary draft of the work made waves earlier this year, and the team presented the updated, peer-reviewed paper this week at the Conference on Language Modeling. The collaboration included scholars from Carnegie Mellon University, the Massachusetts Institute of Technology, the University of Oxford and UCLA, and its central result is deceptively simple: a brief exposure to AI assistance measurably degrades independent performance the moment that assistance is withdrawn. “It’s a striking finding, but in a way it supplies ammunition for a story that a lot of us kind of feel in our gut,” Christian said. “I experience it too.”

To test how quickly people’s focus and persistence plummeted, the researchers designed a series of randomized controlled trials and recruited 1,222 participants online. The first experiment involved 354 participants. One group was tasked with solving 15 basic fraction problems without any help, while another group had ChatGPT open on the side to use for assistance, or even to ask directly for the answer. The group with AI access started off more accurate than the group working unaided, which is exactly what one would expect from a capable assistant. Then, after 12 problems, the researchers took the AI tool away. Almost immediately, the people in that group stopped solving questions accurately. The advantage they had enjoyed while the tool was available evaporated as soon as they had to rely on their own reasoning.

A similar pattern emerged when the team ran the experiment on a second, larger group of 667 participants. Whereas the AI users got answers wrong or gave up entirely when the assistance was withdrawn, the group that had never used AI stuck with the task and were more successful at the end. The data also revealed a telling behavioral shift: there was a significant drop-off in the solve rate for the group that had access to the AI tool after the tool was removed, and a sharp increase in the rate at which those participants skipped questions. In other words, the problem was not merely that people performed worse without the machine. It was that they became less willing to try at all, abandoning problems that the unassisted group continued to attack.

The researchers then ran a third experiment with 201 participants using an SAT reading comprehension prompt, a task far removed from arithmetic. The results echoed those from the fraction problems: when the AI tool was removed, both persistence and accuracy dropped. This consistency across two very different domains suggests that the effect is not about math anxiety or a lack of practice with fractions. It points to something more general about how quickly the human mind adapts to the presence of an always-available answer machine, and how poorly that adaptation serves us when the machine is taken away. “You almost couldn’t ask for a clearer story,” Christian said.

The findings back up what anecdotes and surveys have increasingly suggested in recent years: an overreliance on AI for answers erodes our cognitive fitness. The mechanisms the researchers describe are familiar to anyone who has studied how habits form. When AI produces answers in seconds, we get used to that speed, and anything that takes longer begins to feel inefficient. The friction that once accompanied difficult thinking, the slow and sometimes frustrating process of wrestling a problem into submission, starts to feel like a defect in the workflow rather than an essential part of learning. Relying on AI also removes what the team called “productive struggle,” the effortful engagement with difficulty that can lead people to discover their research strengths and passions in the first place.

There is a deep irony here that Christian is quick to acknowledge. These systems were built to be helpful, and by almost any benchmark they are. They answer accurately, quickly and on demand. But helpfulness in the short term and helpfulness in the long term can pull in opposite directions. “We’ve built these systems to be helpful, but are they being helpful to us in a way that’s actually helping us?” Christian said. “We showed, ironically, that they are often helping us in ways that are kind of unhelpful.” A tool that hands over the answer saves time on this problem and quietly costs capacity on the next one, leaving the user dependent on the very assistance that made them feel more capable.

The study attracted wide attention as its findings matured. Outlets from WIRED to Psychology Today covered the research when early results were released in the spring, and The New York Times published a story last week about the paper and similar work on how chatbots may affect thinking and brain development. Notably, frontier AI companies themselves have acknowledged how offloading tasks to chatbots can reduce a person’s baseline understanding and mastery of a subject. That admission from within the industry gives the academic findings added weight, because it suggests the builders of these systems recognize that the default interaction pattern, in which the model simply supplies the answer, may not be the one that best serves human learning over time.

Christian argues that the design of AI systems could change in response. Instead of defaulting to quick answers, AI responses could default to being more instructive, behaving more like a tutor that guides a learner toward understanding than like an oracle that dispenses solutions. The distinction matters because a tutor’s goal is to make itself unnecessary, transferring skill to the student, while an answer machine’s goal is to minimize the time to a correct response, which can leave the underlying skill untouched or even atrophied. “We need to work toward a future in which human abilities are, as much as possible, augmented rather than supplanted,” Christian said. The ten-minute finding suggests that the window in which that choice gets made is startlingly short, and that the direction of the effect, augmentation or replacement, is set almost as soon as the habit of asking takes hold.

The stakes, Christian believes, extend well beyond classrooms and test questions, and they are especially acute in research and academia. He worries about the way overreliance on AI tools in science could jeopardize what makes for a good scientist in the first place: staying close to data, being immersed in the material, and working as part of a team. Something significant could be lost, he suggests, when the team of ten developing the ideas that lead to a breakthrough is whittled down to two or three researchers and a chatbot. The informal exchange of half-formed hypotheses, the patient debugging of a stubborn analysis, the shared struggle that builds both expertise and judgment, all of these are the substrate of discovery, and none of them can be outsourced without cost. “This is not a story about fractions and SAT problems,” Christian said. “This is something that is happening to human knowledge and human expertise from top to bottom and from grade-school students all the way to the leading experts in the world.”

Subject of Research: The effect of brief AI assistance on human persistence and independent problem-solving performance

Article Title: Using AI for just 10 minutes erodes your ability to persist at hard things

Article References: Using AI for just 10 minutes erodes your ability to persist at hard things. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: artificial intelligence, cognitive persistence, ChatGPT, randomized controlled trial, productive struggle, human-compatible AI, education, cognitive offloading, Conference on Language Modeling, problem-solving, academic research, UC Berkeley