AI Tools Expose a Deepening Motivation Gap in U.S. Classrooms

Alex Campbell, a sociology teacher at Elizabethton High School in Tennessee, told his students in 2017 that solving a decades-old cold case would be the hardest class they ever took. The students accepted the challenge, tracking down an FBI profiler and interviewing a victim’s brother to solve the so-called Redhead Murders. Their work eventually became the basis for a 2024 true-crime podcast and an Amazon Prime TV series that reached the top three rankings for streaming series in July.

Campbell’s classroom project illustrates a shift now spreading across the education sector. As generative AI tools become ubiquitous, teachers report that the technology has removed the last excuses for students to avoid difficult work. The technology relies on random word generation to produce answers quickly, stripping away the friction that previously forced students to engage with material. Educators argue that AI did not create the problem of low motivation, but it has exposed the extent of the issue.

The scale of AI adoption is documented in recent studies. The College Board found that the percentage of high school students using AI for schoolwork increased from 79% to 84% between January and May 2025. Approximately half of those students used the tools to brainstorm, revise essays, or research topics. A separate report from the University of Southern California found that most college students default to using AI for what researchers call executive help, seeking fast answers with minimal effort rather than using the tools to deepen their understanding.

Researchers warn that this trend may alter the fundamental social contract between students and schools. Chris Hulleman, a researcher at the University of Virginia, noted that students are increasingly questioning the relevance of their coursework. If assignments seem boring or stupid, students are likely to use the free AI tools at their fingertips. Hulleman has studied student motivation for more than 20 years and said that education has historically failed to make school interesting and relevant.

Darren Lam, an 18-year-old recent graduate of Staten Island Technical High School in New York, said many of his classmates use AI to automate their schooling. He described a situation where the AI effectively becomes the student. Other students use the technology to complete undesirable assignments or gain time benefits they would not have if they were completely honest with their work.

Colorado math teacher Dylan Kane compared the automation of cognitive effort to the invention of indoor plumbing. While plumbing freed people from hauling water, it also erased the daily walking that kept them healthy. Kane warned that AI might be automating cognition faster than educators can find new ways to incentivize it. He suggested that schools should be honest about this shift and focus on hard fun, a concept popularized by MIT Media Lab co-founder Seymour Papert in the mid-1980s.

Rebecca Winthrop, a senior fellow at the Brookings Institution, said AI arrived in 2022 when school culture was already highly transactional. A 2024 Gallup survey found that fewer than half of middle and high school students said their coursework challenges them. Only 17% strongly agreed that they had learned something interesting at school in the previous seven days. Winthrop noted that the bar for higher-order thinking skills has shifted higher, making the gap between what students learn and what the job market requires more pronounced.

Eric Anderman, an educational psychologist at Ohio State University, said that cheating rises when teachers emphasize tests and grades over mastery. He told pre-service teachers that the letter A in grades stands for artificial because humans made the system up. The goal, he said, is to shift the focus from obtaining grades to actual learning.