Community Sentiment
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AI Automation Index
Will AI Replace Hotel, Motel, and Resort Desk Clerks?
Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Hotel, Motel, and Resort Desk Clerks. Run the upskilling simulator.
AI Vulnerability
40%
risk score
Median Salary
$35,070 / year
Growth Demand
High
Constituent Task Mix
We parsed O*NET's 20 constituent tasks for this occupation and classified them by AI threat risk.
High Automation Risk (Routine Tasks) 5%
Medium Automation Risk (Cognitive/Technical) 70%
Low Automation Risk (Strategy/Leadership) 25%
How would you survive?
Automate your routine tasks and design your day around strategic advisory to future-proof this score.
Simulate Upskilling →constituent Tasks
Greet, register, and assign rooms to guests of hotels or motels.
Semi-structured task combining routine and non-routine responsibilities.
Contact housekeeping or maintenance staff when guests report problems.
Semi-structured task combining routine and non-routine responsibilities.
Issue room keys and escort instructions to bellhops.
Semi-structured task combining routine and non-routine responsibilities.
Make and confirm reservations.
Semi-structured task combining routine and non-routine responsibilities.
Verify customers' credit, and establish how the customer will pay for the accommodation.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Keep records of room availability and guests' accounts, manually or using computers.
Routine cognitive or manual task with high vulnerability to automation.
Post charges, such as those for rooms, food, liquor, or telephone calls, to ledgers, manually or by using computers.
Semi-structured task combining routine and non-routine responsibilities.
Review accounts and charges with guests during the check out process.
Semi-structured cognitive task involving analysis, inspection, or monitoring.
Record guest comments or complaints, referring customers to managers as necessary.
Semi-structured task combining routine and non-routine responsibilities.
Compute bills, collect payments, and make change for guests.
Semi-structured task combining routine and non-routine responsibilities.
Transmit and receive messages, using telephones or telephone switchboards.
Semi-structured task combining routine and non-routine responsibilities.
Answer inquiries pertaining to hotel services, guest registration, and travel directions, or make recommendations regarding shopping, dining, or entertainment.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Advise housekeeping staff when rooms have been vacated and are ready for cleaning.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Perform bookkeeping activities, such as balancing accounts and conducting nightly audits.
Semi-structured cognitive task involving analysis, inspection, or monitoring.
Clean and maintain lobby and common areas, such as restocking supplies and watering plants.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Prepare for basic food service, such as setting up continental breakfast or coffee and tea supplies.
Semi-structured task combining routine and non-routine responsibilities.
Date-stamp, sort, and rack incoming mail and messages.
Semi-structured task combining routine and non-routine responsibilities.
Arrange tours, taxis, or restaurant reservations for customers.
Semi-structured task combining routine and non-routine responsibilities.
Deposit guests' valuables in hotel safes or safe-deposit boxes.
Semi-structured task combining routine and non-routine responsibilities.
Plan, schedule or supervise the work of other employees.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
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<script src="https://giniloh.com/embed.js" async></script> O*NET Methodology
O*NET Data Source
This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.
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