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

I was reading a recent piece on recruitment statistics, and it reinforced something I’ve seen repeatedly: hiring is rarely lost at the offer stage—it’s lost in the experience. One data point that stopped me: an overwhelming share of candidates abandon applications before they ever submit them. When the process feels unclear, slow, or repetitive, people simply opt out—especially strong candidates with options. A few other takeaways I’m reflecting on: - Job seekers want clarity

Many talented individuals are applying to over 50 to 100-plus roles without receiving any responses, while leaders express difficulty finding the right talent. What has changed? It appears that the middle ground has tightened: there are fewer openings, increased competition, and heightened expectations. Companies are hiring more cautiously, focusing on skill testing, adaptability, and prioritizing candidates who can deliver impact quickly. For those searching for jobs, here a

I was reading the Bureau of Labor Statistics, Employment Situation Summary for April 2026, and my takeaway is the labor market is still moving forward; it’s doing so with more “selectivity” than momentum. Payrolls rose modestly (+115K). That’s not a contraction, but it’s also not the kind of broad-based growth that gives every employer the same tailwinds. The gains were concentrated where demand is persistent and operationally essential: health care, transportation/warehousin