AI Resilience Report forCommunications Teachers, Postsecondary

Right now, AI is mostly augmenting communications professors rather than replacing them — meaning it helps them work faster on certain tasks while the actual teaching stays in human hands. One national survey of more than 1,800 higher education staff members conducted by consulting firm Tyton Partners earlier this year found that about 40% of administrators and 30% of instructors use generative AI daily or weekly — that's up from just 2% and 4%, respectively, in the spring of 2023. Reporting from NPR ^[1] describes professors using Gemini and Claude to brainstorm readings, build grading rubrics, and design lessons — exactly the curriculum, syllabus, and handout tasks O*NET flags as highly automatable.

A National Communication Association faculty member describes demonstrating AI speech-coaching tools like Yoodli and Microsoft Speaker Coach ^[2] inside her public-speaking unit, and notes that faculty are using AI tools for grading, developing rubrics, and writing recommendation letters. A new College Board research brief ^[3] covering 3,000+ faculty also found that College faculty in business and communication report student use of AI in preparing presentations, pushing instructors to redesign assignments around AI literacy rather than ban it.

Adoption is moving quickly on back-office work but slowly in the classroom itself. Tools that draft syllabi or bibliographies are cheap, widely available, and save real time — a powerful pull for overworked faculty. But culture is pushing back: Nine in 10 faculty members say that generative AI will diminish students' critical thinking skills, and 95 percent say its impact will increase students' overreliance on AI tools over time, according to a report out today from the American Association of Colleges and Universities and Elon University.

Inside Higher Ed ^[4] also reports About a quarter of faculty don't use any AI tools at all, and about a third don't use them in teaching, and a new AAUP report ^[5] is urging faculty oversight of any AI rollouts. The good news for young people: the parts of this job that resist automation — mentoring, leading discussion, modeling ethical communication, and attending community and campus events — are exactly what employers and students still need a human professor to do.