AI is already changing what people do at work. Tasks like drafting contract summaries, writing basic code, tagging support tickets, and reconciling accounts can now be partly or fully automated. That doesn’t always mean a job disappears. More often, the job itself changes. The problem is that most workforce plans track roles and headcount, not… Read more »
Paste a job title into ChatGPT, and thirty seconds later you have 600 words that could describe the same role at any company in the country. The posting goes live, forty people apply, three can do the job, and the next fortnight gets spent questioning the sourcing channel and the pay band. The description was… Read more »
Most recruiting teams now draft job descriptions with AI. It takes about a minute, the output is clean, and the formatting is more consistent than anything that used to be done by hand. The problem shows up later, when a posting reads perfectly well but contains no specifics about the work and no sign that… Read more »
Time to fill used to be the only number that mattered on a recruiting dashboard. It’s easy to calculate, easy to explain to a VP who doesn’t have twenty minutes, and it moves in a direction everyone understands: down is good. But somewhere in the last few years, talent teams stopped being satisfied with speed… Read more »
There’s a moment in almost every hiring cycle where the numbers stop making sense. The posting went up. Traffic looks fine. Applications are coming in. And yet the people you actually wanted, the ones who’d change the shape of the team, never show up in the pipeline. Most job descriptions are written for the company… Read more »
Some roles just don’t fill. You post, you refresh the ATS, you widen the salary band, and the pipeline stays thin. Meanwhile, another team down the street, or across the internet, closes the same role in six weeks with someone better than anyone you’ve seen. What are they doing differently? Teams that consistently land scarce… Read more »
