What the AI Hiring Wave Actually Changed
The visible effect was not mass replacement but an arms race in application volume that made every part of hiring slower and more suspicious.
What the data says about who is hiring, and what it means for the person applying this week.
The visible effect was not mass replacement but an arms race in application volume that made every part of hiring slower and more suspicious.
Headline job numbers hide a market that has split in two. Health care and manufacturing have more openings than a year ago; other sectors have slowed sharply.
Permanent work is not the safe default and contracting is not the risky one. The real trade is between income stability and speed of access.
Remote postings are a shrinking share of listings and an outsized share of applications. That imbalance is now shaping pay, seniority and who gets hired.
Published salary bands look like an answer. They are a constraint on the employer, and reading them correctly is a skill.
Delay is usually a symptom of approval layers and calendars rather than of doubt about you, and reading it correctly changes what you do next.

Interviewers ask thirty questions and decide on about four of them. These are the ones that carry the weight.

The math of response rates explains why volume applying feels productive and almost never is.
A panel is not one interview with more people. It is three or four separate scorecards, and each panelist is grading something different.