Last month I argued that AI isn’t going to eat the title industry in 24 months — the adoption curve is long, the regulated reality is slow, and the doomers and evangelists are both extrapolating from demos. Several readers heard that as “relax, nothing changes.” That’s not what I said, and this post is the other half of the argument. The employment effect of AI in title is real. It’s just not the effect everyone’s arguing about. AI doesn’t take the examiner’s job — it raises the floor on what it takes to hold one.

The Floor, Not the Ceiling

Every technology wave in this industry has worked the same way, and I’ve been here for enough of them to see the pattern. Computerized plants didn’t eliminate searchers — they eliminated the version of the job where knowing the books was the skill. Production systems didn’t eliminate closers — they eliminated the version where assembling documents was the job. Each wave automated the mechanical layer and left a job that was smaller in headcount terms than the boosters admitted, but more demanding than what it replaced — because what remained was the judgment, and judgment is the hard part. AI is the same move, one layer up. When the machine reads every document, drafts the commitment, and flags the anomalies, the human job that’s left is evaluating whether the machine is right — exception handling, edge cases, the looks-right-versus-is-right call. That job requires more competence than the one it replaced, not less. The floor goes up.

The Apprenticeship Problem

Here’s the part that should actually worry the industry, because it’s the part nobody’s planning for. The traditional path to becoming a good examiner ran through years of exactly the routine work AI is now absorbing. You learned judgment by doing volume — a thousand easy searches taught you what normal looks like, which is the only way anyone learns to spot abnormal. Automate the thousand easy searches and you haven’t just changed the entry-level job. You’ve demolished the training ground. The industry is quietly converting its apprenticeship into a credential it has no plan to issue: we’ll expect new hires to arrive with judgment, having removed the work that used to build it.

For an independent, that means the examiner pipeline problem — already ugly, as the June hiring post laid out — gets a second dimension. It’s not just that experienced examiners are scarce and aging. It’s that the mechanism that used to produce their replacements is being switched off, industry-wide, by the same tools everyone’s buying. The shops that figure out how to deliberately build judgment — structured review of AI output with a senior examiner, rotating juniors through the exceptions queue instead of shielding them from it, treating “evaluate the machine’s work” as a taught skill with a curriculum — will be the ones with a bench in 2030. Everyone else will be bidding against each other for the same shrinking pool of people trained the old way, and wondering why the salaries keep going up.

What to Do About It Now

The hiring implication inverts the usual instinct. When the routine layer is automated, hiring for experience with the routine layer is hiring for the past. The trait that matters at the higher floor is the one I’d call calibrated skepticism — people who can hold two thoughts at once: the machine is usually right, and this specific output might be wrong. That’s a disposition more than a credential, and you can interview for it. The training implication is blunter: your AI rollout and your training program are now the same project. Every hour the tools save is an hour that either goes back into the P&L or gets reinvested in building the judgment your operation will run on in five years. The right split isn’t obvious, but the shops choosing zero reinvestment are eating their seed corn and calling it efficiency — the same trade as skipping maintenance on the asset the business runs on.

The long arc still bends fine — the industry adapts, the work gets more interesting, the people who clear the higher floor do better than the generation before them. But between here and there is a transition, and transitions reward whoever plans for them. The doomers are wrong that the jobs vanish. The evangelists are wrong that everyone gets lifted. The floor rises — and the only real question for an owner is whether your people are climbing while it does.

See what Autopilot absorbs — and what it hands your examiners →