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Ex–Google exec says degrees in law and medicine are a waste of time because AI will catch up

AI in Education EditorialUpdated June 2, 20261 min readRead source
Ex–Google exec says degrees in law and medicine are a waste of time because AI will catch up
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Home Latest Fortune 500 Finance Tech Leadership Lifestyle Rankings Multimedia Success Education Ex–Google exec says degrees in law and medicine are a waste of time because they take so long to complete that AI will catch up by graduation By Preston Fore Preston Fore Success Reporter By Preston Fore Preston Fore Success Reporter February 11, 2026, 8:57 AM ET Add us on Gen Z will just be “throwing away” years of their life by pursuing a PhD thanks to AI’s

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People Also Ask

Will AI replace teachers in the future?
Education researchers broadly agree that AI will not replace teachers but will significantly change what teachers do. AI handles information delivery, practice, and grading efficiently. Teachers provide mentorship, motivation, social-emotional support, and the nuanced judgment that defines quality education — capabilities that remain beyond current AI.
What teaching tasks can AI already do?
AI can already draft lesson plans, adapt reading levels, grade multiple-choice and short-answer assessments, answer factual student questions 24/7, generate practice problems, provide writing feedback, and flag at-risk students through learning analytics. These tasks represent a significant portion of teacher preparation time but not the relational core of teaching.
Are any teaching jobs already being replaced by AI?
Some online tutoring and test-prep roles have been reduced as AI tools handle those functions. AI teaching assistants manage high-volume student queries in massive open online courses. However, full classroom teaching positions in K-12 and higher education have not been replaced; the demand for credentialed teachers remains strong globally.
How should teachers prepare for an AI-integrated future?
Teachers future-proof their careers by developing AI literacy, learning to use AI tools as productivity multipliers, and deepening skills in the uniquely human aspects of teaching: building relationships, facilitating discussion, providing mentorship, and exercising professional judgment in complex student situations where AI cannot reliably operate.