What AI actually changes about hiring, what it does not, and how founders should decide between tooling and people.
An honest capability map. Where automation genuinely works, where it degrades quality, and the part of hiring it cannot touch.
The build-versus-buy of hiring. Which constraint each one actually solves, and why buying tooling to fix an undefined process makes it worse.
Where to apply automation in a hiring process, in what order, and the two stages where it reliably costs you strong candidates.
The EU AI Act, NYC Local Law 144, and the US state laws now requiring human oversight of AI hiring decisions, and what meaningful review looks like.