Will AI replace Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop?
Work in Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop sits in the in-between: AI reaches some of it (~23% in theory) but is only measured doing about 7% today — part human, part machine.
O*NET-SOC 35-9031
How your 13 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~23%). By late 2025, real-world AI use had reached about 7% of its task activity (growing but still limited). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~23%), real-world use (~7%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 13 tasks, ratedBased on real task-level AI scores — click to collapse
- Answer telephone calls and respond to inquiries or transfer calls.
- Assign patrons to tables suitable for their needs and according to rotation so that servers receive an appropriate number of seatings.
- Receive and record patrons' dining reservations.
- Inform patrons of establishment specialties and features.
- Provide guests with menus.
- Greet guests and seat them at tables or in waiting areas.
- Operate cash registers to accept payments for food and beverages.
- Speak with patrons to ensure satisfaction with food and service, to respond to complaints, or to make conversation.
- Take and prepare to-go orders.
- Maintain contact with kitchen staff, management, serving staff, and customers to ensure that dining details are handled properly and customers' concerns are addressed.
- Inspect dining and serving areas to ensure cleanliness and proper setup.
- Inspect restrooms for cleanliness and availability of supplies, and clean restrooms when necessary.
- Assist other restaurant workers by serving food and beverages, or by bussing tables.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.