Higher education relevance is heightened by evidence that the near-term constraint on workforces may be demographic rather than AI-driven displacement, according to a perspective drawing on Indeed Hiring Lab research. The article argues the U.S. labor force could shrink by nearly 6 million workers by 2032 as birth rates fall and Baby Boomers retire faster than replacement. The piece also challenges a “AI will eliminate jobs” framing, pointing to limited evidence of widespread AI-driven job losses to date and emphasizing ongoing hiring around AI implementation infrastructure. Instead, it forecasts sector-specific shortages, with healthcare, construction, and skilled trades described as most constrained. For universities and workforce-training programs, the key operational takeaway is that AI change is layered on top of labor-market shortages that are hardest to solve with automation alone. It highlights sectors needing human labor most are not necessarily the sectors where labor supply can be rapidly expanded. This positioning affects program capacity planning for allied health, engineering technician pipelines, and credentialing strategies that match local shortage profiles.