Right now, which jobs are actually seeing AI cut hiring — not just the ones everyone fears will?

This reads the question as asking where AI is measurably cutting hiring now, not where it might later. The corpus gives a narrower answer than the question expects. The clearest decline isn't defined by occupation. It's defined by age within occupations. Stanford's 2026 AI Index found a 20% employment drop among software developers aged 22–25, while the much larger layoffs people have predicted still don't show up in aggregate data Is AI already shrinking the entry-level job market?. ADP payroll data through June 2026 show the same pattern. Across AI-exposed occupations, young workers face hiring rates 19% lower than peers in less-exposed fields. Experienced workers in those same jobs show no comparable gap, and there's no economy-wide displacement Is generative AI displacing workers at economy-wide scale?. So the steepest decline right now is at the entry point of exposed careers, and software development is the best-documented case.

If you want to know which occupations count as exposed, the corpus points to information-intensive work. When researchers track where workers have actually handed tasks over to AI in structured workflows, rather than just chatting with a model, those tasks cluster in information-heavy jobs. That pattern follows what the technology can do, not the older prediction that routine jobs would go first Where have workers actually delegated tasks to AI?. Exposure also isn't spread evenly across workers. In male-dominated fields it concentrates among high-paid, high-skilled workers. In female-dominated fields it reaches every skill level, so lower-paid women carry exposure with fewer resources to adapt Does AI exposure hit low-wage workers harder in some fields?. Exposure isn't the same as decline, though. That study maps who is at risk, not who has already lost hiring.

Exposure doesn't map cleanly onto job loss for two reasons. First, how AI hits a job matters as much as how much. Across firms from 2010 to 2023, jobs where AI touched only a few tasks let workers shift to the remaining work, which softened net employment losses Does concentrated AI exposure enable workers to adapt and reallocate?. Second, firms adopt at very different speeds. Companies that are more AI-exposed replace online freelance workers with AI tools faster and more cheaply than other firms Do firms substitute labor for AI at different rates?. Declines may therefore track particular employers as much as particular job titles. Some reported cuts may not hold either. Forrester predicts that half of AI-attributed layoffs will be quietly reversed, often through offshore or lower-wage rehiring Will companies quietly reverse their AI-driven layoffs?. That's a forecast, not observed data, but it's a reason to read headline layoff numbers skeptically.

An unexpected finding is that in the same hiring market, AI skills on a résumé raise interview invitations by 8 to 15 percentage points, even though recruiters rarely verify those skills Do AI skills help candidates get more job interviews?. AI skills also partly offset penalties against older and less-educated candidates. That effect was strongest for office assistant roles and weaker for graphic designers Can AI skills help older or less-educated job candidates?. Hiring is also getting noisier. Applicants use AI to mass-apply and sneak instructions past screening software, while recruiters spend much of their week filtering spam Are job applicants and employers locked in an escalating AI arms race?. Part of what looks like falling hiring may be a jammed hiring process rather than disappearing jobs.

The corpus can't give you a ranked list of occupations. Software developers are the only occupation with a hard, age-specific decline figure. Everything else is exposure mapping, firm-level patterns or forecasts. The well-supported answer is that early-career workers in information-heavy jobs, especially software, are the ones getting hired less right now.