Will AI replace Lodging Managers?
Estimated risk score: 59 out of 100
Moderate replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (40 to 78).
For the occupation as a whole, from ratings of its 24 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 11-9081.00 · Management
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 9 of its 24 rated tasks; the first 6 are shown. In O*NET’s words.
- Prepare required paperwork pertaining to departmental functions.
- Answer inquiries pertaining to hotel policies and services, and resolve occupants' complaints.
- Arrange telephone answering services, deliver mail and packages, or answer questions regarding locations for eating and entertainment.
- Assign duties to workers, and schedule shifts.
- Collect payments and record data pertaining to funds and expenditures.
- Greet and register guests.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 3 of its 24 rated tasks. In O*NET’s words.
- Provide assistance to staff members by inspecting rooms, setting tables, or doing laundry.
- Confer and cooperate with other managers to ensure coordination of hotel activities.
- Train staff members.
What the job is
Plan, direct, or coordinate activities of an organization or department that provides lodging and other accommodations.
Also called: Hotel Manager, Resort Manager, Front Desk Manager, Innkeeper, Inn Manager, Motel Keeper, Lodge Manager, Motel Manager.
Closest jobs we score by hand
In the same field (Management). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate