Tullahoma- area employers already have a strong workforce model close at hand. Motlow State’s apprenticeship program combines paid work, instruction, mentorship, and industry credentials, with current funding support for manufacturing, IT, and related positions. That same logic should guide AI adoption. Stanford’s August 12 payroll update finds that employment among U.S. workers ages 22–25 in highly AI-exposed occupations is about 19% below where it would be if it had kept pace with similarly aged workers in less-exposed occupations. The gap is showing up mainly through reduced hiring.

Employers should use AI to remove routine preparation, then reinvest part of the saved time in coaching. New hires can move sooner into checking outputs, investigating exceptions, explaining decisions, and handling supervised customer or operational judgment.

Track more than hours saved. Measure how quickly a new employee becomes independently competent. AI should make Tullahoma’s career ladders faster to climb and easier to enter.

Gleb Tsipursky, PhD, a behavioral scientist, CEO of Disaster Avoidance Experts, and author of The Psychology of AI Adoption at Work: From Resistance to Results (Georgetown University Press, 2026). https://disasteravoidanceexperts.com/aibook.