Short answer
AI will reshape this job more than most, but BLS does not forecast it disappearing. The exposure is among the highest BLS measured, yet it still projects employment to grow.
AI and jobs
Will AI Replace Hotel Front Desk Clerks? (2026)
The Bureau of Labor Statistics places hotel front desk clerks in its very high AI exposure category, among the occupations most exposed to current AI. BLS projects employment to change by +1.8% over 2025–2035, against 3.5% for all occupations, with about 35,500 openings a year.
- BLS AI exposure
- Very highBLS EP supplemental table
- AI-resilience score
- 43/100Higher than 47% of jobs · NueCareer
- Projected change
- +1.8%BLS EP 2025–2035; all jobs 3.5%
- Openings a year
- 35,500BLS EP 2025–2035
The federal measure
How exposed hotel front desk clerks are to AI
The Bureau of Labor Statistics publishes a relative AI exposure category for each occupation it projects, built from five public measures of where AI could be, or already is, used to assist with or complete the work. Hotel Front Desk Clerks land in the very high category: among the occupations most exposed to current AI.
Where this job sits on the BLS scale
786 occupations in the NueCareer bank, in BLS's four relative categories; width shows how many fall in each
- Low203 occupations · 26%
- Moderate194 occupations · 25%
- High190 occupations · 24%
- Very high · this job199 occupations · 25%
Source: BLS Employment Projections, AI exposure categories supplemental table.
- Exposure is relative. The categories rank occupations against each other; they are not a probability that a job is automated.
- BLS says exposure does not imply job loss, productivity gains, automation probability or wage effects. A highly exposed job can still grow if AI makes the people in it more productive.
- The classification reflects AI capabilities as the underlying studies measured them. Read the BLS method and limitations.
Inside the work
What AI can and cannot do in this job
O*NET rates how important each work activity is to an occupation and how often each working condition comes up. The ratings below are the ones that move the job's NueCareer AI-resilience score the most: the ones that pull it up, and the ones that pull it down. Only ratings clearly above the midpoint count.
What holds up
Physical, hands-on and person-to-person work
- Performing for or working directly with the public4.4/5O*NET work activity, importance
- Face-to-face discussions4.6/5O*NET work context, frequency or level
- Resolving conflicts and negotiating with others4.1/5O*NET work activity, importance
- Establishing and maintaining interpersonal relationships3.9/5O*NET work activity, importance
What AI reaches first
Routine, repeatable and screen-based work
- Working with computers4.6/5O*NET work activity, importance
- Processing information3.8/5O*NET work activity, importance
- Getting information4.5/5O*NET work activity, importance
- Repeating the same tasks3.7/5O*NET work context, frequency or level
The tasks O*NET lists for hotel front desk clerks
- Make and confirm reservations.
- Greet, register, and assign rooms to guests of hotels or motels.
- Record guest comments or complaints, referring customers to managers as necessary.
- Compute bills, collect payments, and make change for guests.
- Review accounts and charges with guests during the check out process.
- Contact housekeeping or maintenance staff when guests report problems.
O*NET 31.0 Database task statements, most important first.
The jobs
Will there still be jobs?
Exposure says where AI meets the work. The BLS projection says what the labor market is expected to do over 2025–2035. BLS projects +1.8% change in employment over the decade, against 3.5% across all occupations, and about 35,500 openings a year once retirements and career changes are counted. About 261,420 people work in the job today, at a median of $35,070 a year (BLS OEWS, May 2025).
Full hotel, motel, and resort desk clerk profile: pay by state, entry route and skills
Options
Related careers less exposed to AI than hotel front desk clerks
Careers O*NET lists as related to the work, or in the same field at similar pay, that BLS places in a lower exposure category.
Baggage Porter and Bellhop
Personal Care and Service
- Median pay
- $37,080median a year
- Growth
- −3.0%
- Openings / yr
- 3,800
- Education
- High school
- Moderate
- BLS AI exposure
- 71/100
- resilience
Handle baggage for travelers at transportation terminals or for guests at hotels or similar establishments.
Locker Room, Coatroom, and Dressing Room Attendant
Personal Care and Service
- Median pay
- $36,300median a year
- Growth
- +6.4%
- Openings / yr
- 4,000
- Education
- High school
- Moderate
- BLS AI exposure
- 55/100
- resilience
Provide personal items to patrons or customers in locker rooms, dressing rooms, or coatrooms.
Passenger Attendant
Transportation and Material Moving
- Median pay
- $37,720median a year
- Growth
- +6.0%
- Openings / yr
- 4,300
- Education
- High school
- High
- BLS AI exposure
- 64/100
- resilience
Provide services to ensure the safety of passengers aboard ships, buses, trains, or within the station or terminal.
Host and Hostess, Restaurant, Lounge, and Coffee Shop
Food Preparation and Serving Related
- Median pay
- $31,200median a year
- Growth
- +3.4%
- Openings / yr
- 107,100
- Education
- No formal credential
- High
- BLS AI exposure
- 58/100
- resilience
Welcome patrons, seat them at tables or in lounge, and help ensure quality of facilities and service.
Lodging Manager
Management
- Median pay
- $69,250median a year
- Growth
- +3.8%
- Openings / yr
- 5,500
- Education
- High school
- High
- BLS AI exposure
- 48/100
- resilience
Plan, direct, or coordinate activities of an organization or department that provides lodging and other accommodations.
Cashier
Sales and Related
- Median pay
- $32,880median a year
- Growth
- −6.5%
- Openings / yr
- 521,300
- Education
- No formal credential
- High
- BLS AI exposure
- 44/100
- resilience
Receive and disburse money in establishments other than financial institutions.
Questions
Will AI Replace Hotel Front Desk Clerks? FAQ
Will AI replace hotel front desk clerks?
AI will reshape this job more than most, but BLS does not forecast it disappearing. The exposure is among the highest BLS measured, yet it still projects employment to grow. BLS defines exposure as AI being able to assist with or complete some of the work, and says it does not imply job loss, productivity gains or wage effects. BLS projects employment to change by +1.8% over 2025–2035, against 3.5% for all occupations, with about 35,500 openings a year.
How exposed are hotel front desk clerks to AI?
BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Hotel Front Desk Clerks are in the very high category, alongside 198 other occupations. The categories combine five public measures of where AI could be or already is used, and they compare occupations with each other rather than giving an absolute risk.
What parts of a hotel, motel, and resort desk clerk's job can AI do?
In O*NET's description of the work, the parts that overlap most with what AI handles well are working with computers, processing information and getting information. The parts that hold up best are performing for or working directly with the public, face-to-face discussions and resolving conflicts and negotiating with others. These come from O*NET ratings of how important each activity is to the job, read through NueCareer's AI-resilience method.
Is being a hotel, motel, and resort desk clerk a safe career from AI?
On NueCareer's AI-resilience score, built from O*NET work activities, hotel front desk clerks score 43 out of 100, higher than 47% of the occupations we score. The job pays a median of $35,070 a year (BLS OEWS, May 2025). No job is fully safe from technological change, but the federal exposure category and the projected openings are the two numbers worth weighing.
What careers similar to hotel front desk clerks are less exposed to AI?
Baggage Porter and Bellhop (moderate exposure, $37,080 median), Locker Room, Coatroom, and Dressing Room Attendant (moderate exposure, $36,300 median), Passenger Attendant (high exposure, $37,720 median), Host and Hostess, Restaurant, Lounge, and Coffee Shop (high exposure, $31,200 median). Each is in a lower BLS exposure category than hotel front desk clerks, and most are listed by O*NET as related to the work.
The AI exposure category is the Bureau of Labor Statistics'. The AI-resilience score and the activity breakdown are NueCareer's analysis of O*NET 31.0 Database data (method), not a federal figure. More: jobs most exposed to AI, jobs least exposed to AI, or check any job.