Typical job search advice is starting to feel… outdated. I was reading a Google News piece on the “new rules” for landing a role right now, and it clicked: the market hasn’t just cooled or heated up; it’s changed shape. A few takeaways I can’t stop thinking about: “Just apply to more jobs” isn’t a strategy anymore. Between AI screening and overloaded recruiting teams, volume without focus is basically noise. The candidates I’m seeing break through are doing fewer applications

I came across an article on Google News about Cognizant hiring 1,500 graduates as part of an AI-driven workforce push—and it stuck with me for one reason: it signals a shift in where companies think AI capability should live. Not in a small “AI team.” Not only in senior roles. But embedded early, at scale, in the graduate pipeline. If you’re recruiting in tech right now, this raises the bar on what “entry-level ready” means. It’s less about a perfect stack and more about adap

I was reading Anthropic’s piece on labor market impacts of AI and found the most useful contribution wasn’t another “AI will take jobs” headline—it was a better way to measure what’s actually happening. Their concept of “observed exposure” resonated with me: not just what LLMs could do in theory, but what people are using them for at work—weighted toward uses that automate work rather than simply assist it. That’s the kind of market information businesses need, because capabi