Artificial intelligence is reshaping early-career hiring, but not ushering in a jobs apocalypse—at least not yet. A CBS Sunday Morning report finds U.S. job postings down 6.7% year over year, with tech roles off 36% versus pre-pandemic levels, according to Indeed’s Laura Ullrich. She cites post-pandemic overhiring and macro uncertainty—“like driving through fog”—as bigger near-term brakes than AI itself. Still, AI is squeezing many entry-level, screen-based tasks, from transcription to copywriting, raising concerns about how novices gain experience.
MIT economist David Autor argues the technology’s impact will be uneven: roughly 30% of skills can be partially automated, putting coding, accounting and customer service on the front line, while roles demanding empathy, hands-on work or complex judgment—health care, education, trades, construction and clean energy—remain more resilient. Autor warns that stripping out “supporting work” could slow the development of expertise, even as new categories emerge that are hard to predict. For recent grads, Ullrich advises momentum—internships, part-time roles and alumni networks—while the broader economy waits out uncertainty. The consensus: displacement is real, timelines are longer than headlines suggest, and AI’s upside could include productivity gains in medicine, energy and agriculture.
How AI is changing the job hunt
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