Laszlo Bock’s viral hiring guide is smart, useful, and deeply depressing. It honestly exposes how broken recruiting has become, then teaches workers to survive it through optimization, performance, and strategic likability rather than merit alone.
Three years into the AI boom, four separate research efforts converge on one finding: executive enthusiasm is near-universal, operational integration is rare, and the bottleneck is organisational design.
A principal engineer's calm, specific account of three years inside an AI-forward organisation maps onto a growing body of research showing AI is intensifying senior roles, squeezing mentoring time, and absorbing productivity gains into expanded scope.
LinkedIn's "Top Job Picks for You" blends algorithmic matching with paid placement. A recent critique argues that mix is misleading. Independent data on application volume, ghosting, and AI in hiring suggests the wider story is bigger than any single platform.
AI was meant to lighten work. Instead, many workers are feeding, fixing, checking, and explaining the machines. This week: botsitting, graduate career bottlenecks, regulated trust, the selective white-collar slowdown, and another Cut List shaped by AI spending.
Candidates now research employers inside AI tools, not on your careers site. An academically referenced guide to Generative Engine Optimisation (GEO): the platforms that shape what candidates see, how to communicate your EVP so AI cites it accurately, and how to measure your AI presence.
Graduates are struggling to break in, “hybrid” is becoming a career filter, and AI work is drifting into a blame-and-proof culture. This week: the broken on-ramp, the rise of metrics theatre, surveillance creeping into WFH, and The Cut List.
AI was sold as leverage. This week, it looks more like a bill. Cuts are being justified as “agentic”, monitoring is creeping into the workflow, and entry-level work is quietly evaporating. We break down what’s changing, what it’s doing to trust, and what to do next.
