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AI Automation Index
Will AI Replace Hotel, Motel, and Resort Desk Clerks?
Task-level automation exposure for Hotel, Motel, and Resort Desk Clerks: 20 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
53%
weighted task index
20 of 20 tasks scored
Median Salary
$35,070 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
High
261,420 people hold this job — size, not growth
Projected 2025–35
+1.8%
employment change
35,500 openings a year · BLS line item
Pay by state
BLS OEWS publishes 53 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$23,330 – $59,110
Highest medians
Hawaii $59,110
District of Columbia $47,060
Vermont $44,940
Washington $40,460
Massachusetts $39,400
Lowest medians
Puerto Rico $23,330
West Virginia $26,830
Mississippi $27,300
Louisiana $27,420
Oklahoma $27,630
State figures come from the 43-4081 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 53%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 17%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 39%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 28%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 7/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
20 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 47%
9 tasks
Medium exposure (≥ 35%) 19%
4 tasks
Low exposure (below 35%) 34%
7 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#2620 · Core · 80% automatable
Make and confirm reservations.
information retrieval — Booking travel and reservations via tools
Make travel, accommodations, or entertainment arrangements for others.
#2610 · Core · 15% automatable
Greet, register, and assign rooms to guests of hotels or motels.
interpersonal — Physical presence greeting customers
Greet customers, patrons, or visitors.
#2611 · Core · 85% automatable
Verify customers' credit, and establish how the customer will pay for the accommodation.
data analysis — Transactional data verification is rule-based and reliable
Verify accuracy of financial or transactional data.
#2617 · Core · 80% automatable
Post charges, such as those for rooms, food, liquor, or telephone calls, to ledgers, manually or by using computers.
data analysis — Maintain financial records; human reconciles exceptions
Maintain financial or account records.
#2615 · Core · 28% automatable
Issue room keys and escort instructions to bellhops.
physical manipulation — Physically distributing materials to people
Distribute materials to employees or customers.
#2623 · Core · 72% automatable
Advise housekeeping staff when rooms have been vacated and are ready for cleaning.
text generation — Providing routine information to coworkers is text-based
Provide information to coworkers.
#2618 · Core · 30% automatable
Transmit and receive messages, using telephones or telephone switchboards.
physical manipulation — Operating comms hardware needs hands-on setup and tuning
Operate communications equipment or systems.
#2622 · Core · 75% automatable
Record guest comments or complaints, referring customers to managers as necessary.
data analysis — Maintain financial records; human reconciles exceptions
Maintain financial or account records. Refer customers to appropriate personnel.
#2612 · Core · 80% automatable
Keep records of room availability and guests' accounts, manually or using computers.
data analysis — Maintain financial records; human reconciles exceptions
Maintain financial or account records.
#18566 · Core · 80% automatable
Perform bookkeeping activities, such as balancing accounts and conducting nightly audits.
data analysis — Maintain financial records; human reconciles exceptions
Maintain financial or account records.
#2613 · Core · 57% automatable
Compute bills, collect payments, and make change for guests.
data analysis — Cost calculation from structured inputs
Calculate costs of goods or services. Execute sales or other financial transactions. Collect deposits, payments or fees.
#2616 · Core · 55% automatable
Review accounts and charges with guests during the check out process.
interpersonal — Account discussions need human relationship and judgment
Discuss account status or activity with customers or patrons.
#2619 · Core · 65% automatable
Contact housekeeping or maintenance staff when guests report problems.
text generation — Reporting maintenance problems is routine messaging
Report maintenance or equipment problems to appropriate personnel.
#18568 · Core · 5% automatable
Clean and maintain lobby and common areas, such as restocking supplies and watering plants.
physical manipulation — Physical cleaning of facilities and equipment
Clean facilities or equipment.
#2626 · Core · 12% automatable
Date-stamp, sort, and rack incoming mail and messages.
physical manipulation — Sorting physical mail requires hands-on handling
Sort mail.
#18567 · Core · 50% automatable
Answer inquiries pertaining to hotel services, guest registration, and travel directions, or make recommendations regarding shopping, dining, or entertainment.
interpersonal — Customer dialogue needs live presence and adaptation
Discuss goods or services information with customers or patrons.
#2625 · Supplemental · 10% automatable
Deposit guests' valuables in hotel safes or safe-deposit boxes.
physical manipulation — Physically placing and storing items
Store items.
#18569 · Supplemental · 7% automatable
Prepare for basic food service, such as setting up continental breakfast or coffee and tea supplies.
physical manipulation — Plating food is fine manual dexterity
Arrange food for serving.
#18570 · Supplemental · 54% automatable
Plan, schedule or supervise the work of other employees.
decision support — Draft schedules; human owns fairness and coverage
Prepare employee work schedules. Supervise clerical or administrative personnel.
#2624 · Supplemental · 80% automatable
Arrange tours, taxis, or restaurant reservations for customers.
information retrieval — Booking travel and reservations via tools
Make travel, accommodations, or entertainment arrangements for others.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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