People Who Lean on AI Help Gave Up Sooner When It Was Taken Away

People who rely on AI assistance to work through math problems and reading comprehension tasks are more likely to give up, or to struggle, once that help is taken away, according to new research reported by Live Science. The finding points to a possible downside of leaning on chatbots: a weaker drive to push through hard tasks.

The work was presented earlier this month at the 2026 Conference on Language Modeling in San Francisco. Live Science described it as evidence that relying too heavily on AI could erode people's motivation to persist when a challenge gets difficult.

What the researchers looked at

AI tools such as chatbots have become part of everyday life, Live Science noted. People use them to write messages, get answers to questions and pick up new skills. Many of those uses save time, which is a large part of their appeal.

The new study asked a different question: what happens afterward? The tasks it examined were math problems and reading comprehension, two areas where people often turn to AI for a quick answer or explanation. According to Live Science, participants who had used AI assistance were more likely to quit, or to have trouble, when the assistance was no longer available.

What it means for everyday AI users

The result does not say that using AI makes anyone less capable in a lasting way. It describes a change in behavior at the moment the support disappears, and it points to motivation rather than raw ability. Live Science framed the central concern as whether people's willingness to keep trying fades when a tool has been doing the heavy lifting.

For students, workers and anyone else who uses a chatbot to handle routine mental tasks, the study raises a practical question about habit. If a tool is always there to take over at the first sign of difficulty, the experience of working through that difficulty alone may become less familiar. The research suggests that this shift may show up as a quicker decision to stop.

The outlet also tied the findings to a broader question: what happens when people stop exercising their brains? Live Science put that question to its readers, asking whether they feel AI is making them less motivated, or whether it simply makes them more efficient, and it opened a reader poll and comment section on the topic.

What the findings do not settle

The report describes results presented at a conference, and Live Science's account leaves out many details that would help readers judge the strength of the effect, including how the participants were chosen and how long the effect lasted. The findings are best read as an early signal rather than a final answer on how AI affects motivation.

It is also worth separating two things the report keeps apart. The time savings from AI tools are real and are a main reason people use them. The new study adds that those savings may come with a cost in persistence, at least in the specific moment when the assistance is withdrawn.

Researchers and readers alike are now weighing whether AI tools make people more efficient, less motivated, or both. For now, the study offers one concrete observation: in tasks involving math and reading, people used to AI help were more inclined to give up when it was gone.

Around Prague, based on reporting by Live Science