AI faculty market — 2-3x academic-vs-industry compensation differential drives retention pressure

Academic AI faculty salary data (AAUP Annual Report on the Economic Status of the Profession 2024-25, CUPA-HR Faculty in Higher Education Survey 2024-25, Chronicle of Higher Education faculty salary database, NEA Faculty Salary Report 2025) shows a modest premium for computer science / AI faculty over peer disciplines within academia (assistant professor range approximately $105K-$120K vs. $80K-$140K across peer fields). Industry compensation data (levels.fyi, Glassdoor, trade-press reporting) shows industry AI roles for fresh PhD hires running approximately $200,000-$400,000 base plus bonuses, producing a two-to-three-times compensation differential between academic and industry AI roles.

For C-0039: the AI faculty market is the most competitive faculty market in academia, and offer-acceptance rates depend on whether the candidate can run the research their industry counterparts could fund directly. That capability is determined by institutional data and compute infrastructure. Tier 3 deployment puts an institution on the right side of this calculation; institutions without the data infrastructure required for AI research lose candidates whose research programs cannot be supported on the existing institutional stack, regardless of salary offer.