Agricultural Sciences Teachers, Postsecondary

By contrast, very human parts of the job still need a person. For instance, almost no one uses AI to fully write grant proposals or to give personal advice (like picking a major or career path). Some universities do experiment with chatbots that answer student FAQs, and students sometimes like asking a bot because it’s “more accessible” and non‐judgmental ^[3].

But experts warn that these bots can be “confidently wrong” and can’t replace human mentors or professors ^{[3] [3]}. So far, tasks like recruiting students, managing registrations, or doing specialized consulting largely remain human-driven (with maybe only basic software or data tools helping behind the scenes). In short, AI is being augmented into the work – speeding up homework grading, research summaries, or content creation – but the core teaching, advising, and critical thinking tasks are still done by humans.

However, some factors could slow adoption. Teachers are cautious about relying too much on AI. Many worry about mistakes, bias, or plagiarism.

For example, colleges have noted that while chatbots give 24/7 answers, they “confidently” give wrong answers and lack human judgement ^{[3] [3]}. Some professors (especially in humanities) are still “clouded by genAI’s potential to supercharge plagiarism” ^[3], so rules and policies are being worked out. There’s also the social side: students often value personal guidance and mentorship that only a real teacher can give.

On balance, AI is seen as a helpful aid – it can handle routine or data-heavy parts of a job – but schools know they need good training and clear rules before trusting AI widely.

Overall, the trend is hopeful: AI can take over tedious bits (like formatting slides or fetching research papers) and give teachers more time for the creative, caring work only people can do. As one form of support for teachers, free and easy-to-use AI means the technology is ready; but human checks, experience, and compassion remain at the heart of education ^{[3] [3]}. Colleges will likely adopt AI gradually – keeping the good parts of the job (mentoring, designing courses, inspiring students) firmly in human hands.