70
/100

SOC 43-4081

Hotel, Motel, and Resort Desk Clerks

High RiskFrey/Osborne: 94.0%

Risk Score

โš ๏ธ

70/100

High Risk

US Employment

๐Ÿ‘ฅ

261,430

Total workers

Median Wage

๐Ÿ’ฐ

$34K

$27K โ€“ $45K

Projected Growth

๐Ÿ“ˆ

+3.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

76/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Hotel, Motel, and Resort Desk Clerks face a risk score of 70/100 โ€” 26 points above the national average of 44. With 76/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $34K. The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 70/100, Hotel, Motel, and Resort Desk Clerks faces significant automation pressure. Key threats include large language model automation of analysis tasks and automated invoice and expense processing. The 261,430 Americans in this role should actively develop skills in exercising discretion in ambiguous administrative decisions and coordinating complex multi-party events and logistics to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.

Will AI Replace Hotel, Motel, and Resort Desk Clerks?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Large language model automation of analysis tasks

2

Automated invoice and expense processing

3

Chatbot displacement of customer-facing interactions

4

Automated data interpretation and insight generation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Exercising discretion in ambiguous administrative decisions

โœ“

Coordinating complex multi-party events and logistics

โœ“

Handling confidential and politically sensitive information

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Greet, register, and assign rooms to guests of hotels or motels.

โ€ข

Contact housekeeping or maintenance staff when guests report problems.

โ€ข

Issue room keys and escort instructions to bellhops.

โ€ข

Make and confirm reservations.

โ€ข

Verify customers' credit, and establish how the customer will pay for the accommodation.

๐Ÿ’ป Technology Skills

โ€ข

Facilities management software

โ€ข

Instant messaging software

โ€ข

Financial analysis software

โ€ข

Web page creation and editing software

โ€ข

Data base user interface and query software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Public Safety and Security

โ€ข

Administrative

โ€ข

Computers and Electronics

๐Ÿ“Š vs National Average

Median Wage$34K
$-12K

National avg: $46K

Risk Score70/100
+26

National avg: 44/100

GenAI Exposure76/100
+38

National avg: 38/100

Projected Growth3.7%
0.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Supervisors of Office and Administrative Support Workers23$66K79%
Education Administrators, All Other21$89K63%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K58%