Resolved: In the United States, the benefits of the use of generative artificial intelligence in education outweigh the harms.

Tutor or crutch

Pro’s core image is the one-on-one tutor made available to everyone: instant feedback, endless patience, explanations pitched to each student, and relief on teacher workload that frees up hours for teaching. Con’s core image is the crutch. Writing is thinking, and when a model drafts the essay, the student skips the struggle that produces learning. The round usually becomes a fight over which image describes the typical use, supervised practice or outsourced homework.

Both sides claim equity

Both sides claim equity, and the clash is close. Pro says tutoring has always been a privilege of wealth, and AI closes that gap for pennies. Con says well-resourced schools will integrate AI with training and guardrails while under-resourced schools get unsupervised substitution, so the technology widens the gap it promises to close. The team that engages the other side’s equity story, instead of repeating its own, tends to win this clash.

Assessment integrity and the long run

Con’s systemic argument is that AI broke assessment. When teachers can’t tell student work from model output, grades stop signaling competence and trust in credentials erodes. Pro’s long-run answer is adaptation: schools absorbed calculators, search engines and Wikipedia by redesigning assignments, and AI literacy is now a core skill schools have to teach. The "on balance" wording matters here. Pro doesn’t need a harm-free technology, only a favorable ledger under realistic school policies.