# Airbnb to hire workers replaced by AI-with one catch: people-facing roles only > Airbnb wants to hire AI-displaced workers in a people-first services marketplace-think chefs, guides, and photographers. AI runs ops; humans deliver the moment. - Type: AI news - Page: https://completeaitraining.com/news/airbnb-to-hire-workers-replaced-by-ai-with-one-catch-people/ - Published: 2025-09-13 - Updated: 2025-09-14 - Author: Jeroen Erne - Jobs: Product development - Reading time: 3 min ### Airbnb's "Everything App" Vision: Jobs for AI-Displaced Workers - With a Condition Airbnb CEO Brian Chesky says he wants to offer work to people displaced by AI. The condition: those jobs live in a people-first marketplace as Airbnb expands into an "everything app" for services like private chefs, massages, and photography. Translation for product teams: this is a bet on human-led experiences where AI does the back office, not the front-of-house. #### What Chesky actually said "I hope that if AI displaces a lot of jobs, I hope we could be a place for at least some of those jobs to expand to. And I think a lot of people are going to come to us," Chesky said. He drew a line between industries already absorbing AI at scale and hospitality. "I still think when people go to Bordeaux and they drink a bottle of wine, I don't think they want that to be an AI-driven experience. When they go to Lake Como, I don't think they want a robot answering the door for them." On automation in transport, he added: "I doubt humans are driving cars at some point in the future, and so all those drivers that are driving for money will probably have to do something else." #### The condition for these "new jobs" These aren't office roles. They're service roles inside a growing marketplace: hosts, chefs, guides, photographers, wellness providers, and on-site support. Chesky's view: hospitality stays human for the next five to ten years. AI will compress white-collar tasks, but people-led experiences will keep their value - and need product infrastructure that makes them safe, consistent, and bookable. #### Why this matters to product development If you build marketplaces, this is your signal. The next wave isn't pure software; it's software that operationalizes human service at scale. - Shift from "features" to "service SKUs." Define bookable services with clear scope, timing, pricing, and quality gates. - AI backstage, humans onstage. Use AI for matching, pricing, scheduling, support triage, and fraud detection. Let people deliver the moment. - Trust systems as a core feature. Verification, background checks, insurance, reviews, rebooking flows, and dispute resolution need product ownership. - Supply acquisition is a product. Onboarding, training, certification, and incentives for service providers are part of the experience, not an ops afterthought. - Local compliance is a blocker or a moat. Bake permits, tax handling, and policy changes into your platform logic. #### What a practical roadmap could look like - 0-90 days: Define the initial verticals (e.g., chefs, photographers, wellness). Ship v1 service SKU models, booking flows, and provider onboarding. Add identity verification and basic insurance. - 90-180 days: Launch AI-assisted matching, dynamic pricing, and scheduling. Roll out provider quality scorecards and standardized service kits. - 6-12 months: Bundle stays + services, add cross-sell in pre-check-in flows, expand coverage to top markets, and introduce fast rebooking with guarantees. #### Implications for talent and org design - Hire for "experience ops" and service quality, not just software delivery. Treat these teams like product pillars. - Create an on-ramp for AI-displaced workers: clear onboarding, training modules, certification, and transparent pay structures. - Instrument everything. Track fulfillment rate, NPS/CSAT per service SKU, incident rate, rebook time, provider retention, and margin. #### Risks to manage early - Consistency: Standardize service playbooks and enforce them with checklists and photo/video confirmations. - Safety: Background checks, insurance, secure messaging, on-site verification, and escalation paths. - Quality drift: Continuous audits, mystery shopping, and incentives tied to outcomes, not only volume. #### If you're building a similar "everything app" - Start with one or two high-frequency, high-NPS services. Nail them before expanding. - Define what the human does that AI can't, then productize everything around that moment. - Treat regulation as product requirements, not legal footnotes. #### Context beyond Airbnb Experts warn that entry-level white-collar roles are exposed as AI scales, while trades and hands-on services remain harder to automate due to physical manipulation challenges. That's the opening for marketplaces that make human work easier to find, deliver, and guarantee. #### Level up your team's AI capability If you're retooling your product org for AI + human services, curated learning tracks can speed it up. See role-based options here: - [AI courses by job](https://completeaitraining.com/courses-by-job/) - [Latest AI courses](https://completeaitraining.com/latest-ai-courses/) --- This is the Markdown form of https://completeaitraining.com/news/airbnb-to-hire-workers-replaced-by-ai-with-one-catch-people/. The whole site is mapped at https://completeaitraining.com/llms.txt.