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.
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.
Headline unemployment numbers hide a market that has split in two. Some sectors are posting more roles than at any point since 2022; others have effectively stopped.
Published salary bands look like an answer. They are a constraint on the employer, and reading them correctly is a skill.
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.
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.
Skills lists are usually written to sell courses. This one is organised by what a hiring manager can verify in a 30-minute conversation.
Applicant tracking systems are less mysterious than the folklore suggests. The real filter is a person, giving you about eight seconds.
Interviewers ask thirty questions and decide on about four of them. These are the ones that carry the weight.