Metaview reposted this
In 1890, New England textile mills swapped steam engines for electric motors. The new tech was dramatically better. Output barely moved for thirty years. The motor was better. The factory wasn't. It took until the 1920s, when mills got rebuilt around electricity from the ground up - with assembly lines, individual motors inside every piece of equipment, workers and machines doing completely different jobs - for the productivity gains to actually show up. Recruiting is mid-1900s right now. Some individual recruiters are getting transformative lift from AI. Sourcing is accelerating for them. Outreach is automated. Screening that took hours takes seconds. Notes are perfect. And every TA leader I talk to says the same thing: we're under more pressure than ever. Certain individuals are winning. Organizations aren't. Most teams have bolted AI onto a hiring process designed for humans-only. Faster sourcing into the same broken intake. Better screening into the same misaligned interview loops. Sharper notes into the same disconnected hiring manager conversations. The gains leak out between the steps. Buying AI tools for individual recruiters is the 1900s mill move. It feels like progress. It even is progress, locally. But the system you're plugging it into wasn't built for what AI now makes possible. The teams getting real lift are the ones treating this as an org-level redesign: shared context across the team, agents that learn from every accepted and rejected candidate, expertise scaled across the whole function instead of stuck in one or two superusers. The next decade of recruiting won't be won by the teams with the most AI tools. It'll be won by the teams that rebuilt the factory. What does an AI-native hiring process actually look like?