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Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop

Food Preparation & Servicemediummixed
Projected change (est.): ~-2%
Median Wage (est.): ~$28,000
Employment (est.): ~380K

Overall Exposure

35+13

2025 vs 2023

Theoretical Exposure

52

What AI could do

Observed Exposure

21

What AI actually does

Automation Risk Score

37

Displacement risk

3-Year Outlook (2025 → 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

3553
+18

2025 → 2028 (estimated)

Theoretical Exposure

5270
+18

2025 → 2028 (estimated)

Observed Exposure

2139
+18

2025 → 2028 (estimated)

Automation Risk

3756
+19

2025 → 2028 (estimated)

Exposure Metrics (2023 - 2028)

Task Breakdown

Manage reservations and waitlists
70%β 1
Greet and seat guests appropriately
15%β 0
Monitor dining room activity and table turnover
45%β 0.5
Handle customer inquiries and complaints
30%β 0.5

About This Occupation

If you work as a Host or Hostess in a Restaurant, Lounge, or Coffee Shop, AI is reshaping your profession. With an automation risk of 37/100 and overall exposure at 35%, this role faces medium transformation. The highest-impact area is manage reservations and waitlists at 70% automation. This is classified as a 'mixed' role. BLS projects -2% decline through 2034. Online reservation platforms and AI-powered seating optimization are transforming the role, reducing demand as self-service kiosks and digital check-in systems become widespread.

ISCO-08 classification

Unit group 5169ILO official

Personal Services Workers Not Elsewhere Classified

Definition

ILO original text (English)

This unit group covers personal service workers not classified elsewhere in Sub-major Group 51: Personal Service Workers. For instance, those who provide services and companionship as dancing partners, social escorts and night-club hostesses or hosts are classified here.

Definition & vocabulary source

Source: International Labour Organization (ILO) — ISCO-08 Structure

License: ILO CC BY 4.0

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Official occupational information

  • ONET35-9031.00

    Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop

    Welcome patrons, seat them at tables or in lounge, and help ensure quality of facilities and service.

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  • ONET39-9032.00

    Recreation Workers

    Conduct recreation activities with groups in public, private, or volunteer agencies or recreation facilities. Organize and promote activities, such as arts and crafts, sports, games, music, dramatics, social recreation, camping, and hobbies, taking into account the needs and interests of individual members.

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Source: O*NET 30.2, U.S. DOL/ETA

License: CC BY 4.0

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Frequently Asked Questions

With an automation risk score of 37%, Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop faces a moderate level of AI-driven change. Some tasks can be automated, but many require human judgment, creativity, or interpersonal skills that AI cannot yet replicate. The role is more likely to evolve alongside AI than be replaced.

Our estimated AI automation risk score for Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop is 37% for 2025. Estimated overall AI exposure is 35%, with 52% theoretical exposure and 21% observed exposure. The estimated risk trend from 2023 to 2025 is +13 points. All of these are model-generated estimates, not measurements.

The tasks with the highest automation potential for Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop are: Manage reservations and waitlists (70%), Monitor dining room activity and table turnover (45%), Handle customer inquiries and complaints (30%). These rates are our own estimates of how much of each task current AI systems can handle. They are not measurements and are not taken from any external dataset.

We estimate a -2% employment change for Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop between 2024 and 2034. This is our own estimate, not a figure published by the U.S. Bureau of Labor Statistics. Combined with an estimated overall AI exposure of 35%, this occupation faces both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily augments capabilities in this role, professionals in Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.