AI in hiring. Learning that moves business KPIs. Assessment integrity. Real practitioner playbooks for L&D and TA teams.
AI in hiring has gotten loud — and most of the noise is in the wrong place. The genuinely valuable AI is the unglamorous operational work; the genuinely dangerous AI is the autonomous decision-making most vendors sell as the differentiator. An honest separation of signal from noise, what should actually be automated, and what buyers should ask vendors.
All-in-one hiring platforms and best-of-breed stacks both genuinely work, for different organisations at different stages. An honest analysis of where each model wins, where each commonly fails, when the hybrid path makes sense, and how to decide for your organisation.
For most organisations, buying assessment infrastructure is the right call - but the build conversation keeps coming up, and most internal proposals underestimate the cost of building by 3x to 10x. An honest analysis of when each path makes sense, what the real TCO of building looks like, and how to evaluate vendor platforms when you've decided to buy.