Only 10% of Hotel Leaders Feel Ready for AI. Lighthouse's Answer Is to Stop Selling Software and Start Sending People.

Lighthouse cites its own numbers as the reason for its newest move: only 10% of hospitality leaders feel fully prepared for AI, even though 67% expect it to have a major business impact. Its response isn’t another self-serve feature — it’s “Ernest Crews,” small embedded teams (a Captain, Product Builder, Connector Builder, and Field Researcher) that spend 30 to 60 days inside a hotel’s commercial department building custom skills, connectors, and automations tailored to that property’s actual workflow, with every action logged, reversible, and customer-controlled. Ernest, the underlying AI teammate for revenue and commercial operations, already runs across roughly 80,000 hotels in 185 countries; Scott Muety, VP of Revenue & Distribution at Viceroy Hotel Group, credits the model’s traction to the crews spending time understanding staff needs directly rather than running a purely technical rollout.

That 10%/67% gap isn’t an isolated Lighthouse talking point — it matches what a competing revenue-management vendor has been diagnosing independently. LodgIQ’s Mark Charlinski argues that more than 50% of AI pricing recommendations get overridden industry-wide not because the technology is inaccurate, but because most properties skip the staged trust-building — start with AI suggestions under human oversight, move to guardrail-based automation, only then progress to strategic monitoring — and jump straight from manual pricing to expecting blind trust in an algorithm. He also cites 42% of hoteliers reporting that staff experience workplace technology as friction rather than help, usually from rushed training.

Two vendors selling different products are converging on the same diagnosis: the AI is largely solved technology at this point. What’s unsolved is deployment discipline, and Ernest Crews is a bet that the fix is staffing that gap directly rather than shipping another dashboard and hoping adoption follows.