Brookings Senior Fellow Rashawn Ray recently hosted a discussion with Rep. Mark Takano (D-CA) and Rep. Kevin Kiley (R-CA) regarding AI in education [1].

The conversation arrives as schools struggle to integrate generative technology while managing shifting student demographics and workforce preparation needs. The debate centers on whether AI acts as a catalyst for personalized learning or a disruption to fundamental cognitive development.

Some educators view the technology as an essential evolution. Sarah Hernholm, a Forbes contributor, said AI will transform education but will not replace teachers, describing it as a tool that can enhance learning [2]. This perspective aligns with data showing that 80 percent of teachers are using AI tools in the classroom [3]. Of those, 58 percent use the tools regularly or occasionally, while 22 percent have tried them once or twice [3].

However, other education leaders are calling for stricter limits. Randi Weingarten, president of the American Federation of Teachers, said the U.S. needs to roll back student use of digital technology in the classroom [4]. Her organization, which represents 1.8 million members, has advocated for plans that include screen bans in elementary schools, and taxes on big tech companies [4].

Beyond the pedagogical debate, the reliability of monitoring software has become a point of contention. While some argue that AI reduces the time teachers spend on assessments, others warn of the risks associated with plagiarism detection. Ailsa Ostovitz, a teacher, said detection tools are far from reliable and that false accusations are already happening [5].

These conflicting views highlight a divide between those who see AI as a workforce necessity and those who view it as a risk to the traditional classroom environment [1], [2].

“"AI will transform education, but it won’t replace teachers; it’s a tool that can enhance learning."”

The tension between the American Federation of Teachers and AI proponents reflects a broader systemic struggle to define the boundary between human instruction and machine assistance. As AI adoption reaches 80 percent among teachers, the focus is shifting from whether the technology will be used to how it can be regulated to prevent academic dishonesty and developmental regression in younger students.