A small business posts a job. “AI skills required.” Ninety applicants. Half can’t define a prompt. They hire anyway, because AI feels urgent and industry experience feels old.
Then the survey results land.
Ask small and midsize businesses (SMBs) who they’d hire if they could pick only one: a candidate steeped in the industry, or a candidate steeped in AI. Fifty two percent choose industry experience. Seven percent choose AI.
That’s not close. That’s a landslide.
The tool was never the point. AI writes the email. The person decides whether the email should exist.
We keep confusing the skill with the judgment. A hammer doesn’t know which wall is load bearing. Neither does a chatbot. The person swinging it does, if they’ve spent years learning which walls matter.
The SMB that chases AI talent first is optimizing for the commodity. Every competitor has the same models, the same tools, the same YouTube tutorials. What they don’t have is the ops lead who’s seen this exact complaint eleven times and knows which fix actually sticks.
Hire for that. Teach the tool second.
The tool gets cheaper and smarter every quarter. Judgment doesn’t get discounted. It compounds.
Next time a job post says “AI experience preferred,” ask the harder question first.
Preferred over what?
Source note: statistic drawn from Harvard Business Review Analytic Services / TriNet, “The New Talent Playbook for Small and Midsize Businesses in the Age of AI” (Nov. 2025 survey, n=230).
