AI exposure by occupation, O*NET 11-9081.00

Will AI replace Lodging Managers?

Lodging Managers: AI does not yet handle any of the role's 24 tasks; the work mostly needs a standard-tier model.

Have a team in this role?

Get your free 10-role sample: send this role and up to nine others, and a founder sends a board-pack PDF within two business days.

Every task, scored

The 24 tasks O*NET 30.3 lists for Lodging Managers, from most to least exposed. None reaches 60, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Meet with clients to schedule and plan details of conventions, banquets, receptions and other functions. 50 Estimated Standard 4.4
Coordinate front-office activities of hotels or motels, and resolve problems. 50 Estimated Efficient 4.4
Organize and coordinate the work of staff and convention personnel for meetings to be held at a particular facility. 50 Estimated Frontier 3.9
Greet and register guests. 40 Observed Standard 4.5
Develop and implement policies and procedures for the operation of a department or establishment. 40 Observed Standard 4.0
Arrange telephone answering services, deliver mail and packages, or answer questions regarding locations for eating and entertainment. 40 Observed Standard 3.5
Train staff members. 35 Estimated Efficient 4.4
Answer inquiries pertaining to hotel policies and services, and resolve occupants' complaints. 30 Estimated Efficient 4.5
Participate in financial activities, such as the setting of room rates, the establishment of budgets, and the allocation of funds to departments. 30 Estimated Standard 4.5
Confer and cooperate with other managers to ensure coordination of hotel activities. 30 Estimated Efficient 4.5
Monitor the revenue activity of the hotel or facility. 30 Estimated Efficient 4.5
Observe and monitor staff performance to ensure efficient operations and adherence to facility's policies and procedures. 30 Estimated Standard 4.4
Assign duties to workers, and schedule shifts. 30 Estimated Standard 4.2
Receive and process advance registration payments, mail letters of confirmation, or return checks when registrations cannot be accepted. 30 Estimated Standard 4.2
Interview and hire applicants. 30 Estimated Efficient 4.1
Collect payments and record data pertaining to funds and expenditures. 30 Estimated Efficient 4.1
Prepare required paperwork pertaining to departmental functions. 30 Estimated Efficient 4.0
Show, rent, or assign accommodations. 30 Estimated Efficient 4.0
Perform marketing and public relations activities. 30 Estimated Frontier 4.0
Book tickets for guests for local tours and attractions. 30 Estimated Standard 2.7
Manage and maintain temporary or permanent lodging facilities. 20 Estimated Efficient 4.4
Inspect guest rooms, public areas, and grounds for cleanliness and appearance. 20 Estimated Efficient 4.3
Purchase supplies, and arrange for outside services, such as deliveries, laundry, maintenance and repair, and trash collection. 12 Estimated No tier 4.1
Provide assistance to staff members by inspecting rooms, setting tables, or doing laundry. 12 Estimated No tier 3.8

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 3 of 24 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 21 of 24. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A standard-tier model or lower covers 84% of the role's importance-weighted task work. 92% of the work is something AI can address at some tier, and 8% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
42,620
Median annual wage
$69,250
Middle half of earners
$49,530 to $94,030
Projected change, 2024 to 2034
+3.4%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Lodging Managers and AI

Will AI replace Lodging Managers?

Not on current evidence. None of the 24 tasks O*NET lists for this occupation reaches a task exposure of 60, the level at which JobRoute counts a task as handled by AI, and the role's importance-weighted exposure is 32 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears.

What is the AI exposure of Lodging Managers?

32 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 3 of the 24 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 21 are estimated from each task's O*NET work activity.

Which Lodging Managers tasks can AI already do?

None reaches 60 yet. The most exposed task is: Meet with clients to schedule and plan details of conventions, banquets, receptions and other functions, at 50 out of 100.

What AI model tier does this role need?

A standard-tier model or lower covers 84% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Lodging Managers, and what do they earn?

42,620 people in the United States, with a median annual wage of $69,250 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +3.4% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Lodging Managers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/lodging-managers

Have a team in this role?

Get your free 10-role sample. Send this role and up to nine others, with no employee data, and a founder sends a PDF in board-pack format within two business days.

A founder replies within one business day.