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# Will hosts be replaced by AI?

Updated October 2026

Hosts score 41 of 100 for AI exposure. 48% of their task time still needs a person. AI can do 14% today and speed up another 38%.

-   **14%** AI can do it
-   **38%** AI helps
-   **48%** Needs a person

Moderate exposure

Higher than 55% of the 923 occupations we scored.

## Task by task

We graded 20 tasks, listed here from most to least exposed. AI can do 3 of them today, speeds up 9 and leaves 8 to people.

| Task | AI exposure |
| --- | --- |
| Receive and record patrons' dining reservations. Online and AI phone booking tools handle reservation recording well. | 70% AI can do it |
| Answer telephone calls and respond to inquiries or transfer calls. Phone AI agents can answer inquiries and route calls today. | 65% AI can do it |
| Order or requisition supplies and equipment for tables and serving stations. Reorder systems and vendor portals automate most supply requisitions. | 65% AI can do it |
| Perform marketing and advertising services. AI drafts copy, images and campaigns, humans approve and publish. | 60% AI helps |
| Take and prepare to-go orders. Order intake can be digital, but packing to-go orders is physical. | 50% AI helps |

## How hosts compare

All occupations (923)

Food preparation and serving (16)

**Hosts score 41**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 25 for food preparation and serving.

## Pay and outlook in the US

Median pay

$31,200 a year, May 2025

People employed

432,690 in the US, May 2025

Projected change in jobs

+3.4% from 2024 to 2034

## Skills to build

-   Resolve double bookings in OpenTable and Avenista Table Reservations
-   Track table status and check-ins in Aloha Point-of-Sale
-   Track wait times and table turns in Microsoft Excel
-   Greet and seat guests at the host stand
-   Walk dining areas and restrooms to check cleanliness and supplies
-   Reconcile after-close cash reports and make bank deposits

## Safer roles nearby

5 related occupations with lower scores.

-   [Waiters31 out of 100](https://www.aigentcy.com/ai-exposure/waiters/)
-   [Dining room attendants10 out of 100](https://www.aigentcy.com/ai-exposure/dining-room-attendants/)
-   [Food servers23 out of 100](https://www.aigentcy.com/ai-exposure/food-servers/)
-   [Fast food workers24 out of 100](https://www.aigentcy.com/ai-exposure/fast-food-workers/)
-   [Bartenders26 out of 100](https://www.aigentcy.com/ai-exposure/bartenders/)

## Questions about hosts and AI

Will AI replace hosts?

Partly. About 3 in 10 working hours for a host go to tasks AI can already do, mostly recording reservations and answering telephone calls. Greeting guests, seating them and handing out menus stay with people because they need a person physically present on the floor.

Which tasks is AI taking over for hosts?

Receiving and recording dining reservations scores 70 on exposure, the highest in this job, because OpenTable and online booking tools handle it well. Answering telephone calls scores 65 because phone AI agents can answer inquiries and route calls without a person on the line.

Which host tasks stay human?

Greeting guests and seating them scores 8, and directing guests to coatrooms and lounges also scores 8, because both need someone physically at the door and in the room. Inspecting dining areas scores 5 and bussing tables scores 4 for the same reason, since walking and lifting are physical work.

How can hosts stay valuable as AI takes over bookings?

Keep the floor running in Aloha Point-of-Sale and fix double bookings that online tools miss. Check AI booking confirmations against the actual floor plan. Use Microsoft Excel to track wait times and table turns, then bring those numbers to managers. Review and publish marketing drafts on Facebook before they go live.

## Related jobs

-   [Hotel desk clerks54 out of 100](https://www.aigentcy.com/ai-exposure/hotel-desk-clerks/)
-   [Product demonstrators42 out of 100](https://www.aigentcy.com/ai-exposure/product-demonstrators/)
-   [Food service supervisors41 out of 100](https://www.aigentcy.com/ai-exposure/food-service-supervisors/)
-   [Food service managers41 out of 100](https://www.aigentcy.com/ai-exposure/food-service-managers/)

## Next steps for hosts

-   ### Check your job
    
    Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do.
    
    [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/)
    

### Check which roles in your team AI can take on

We map your team's tasks, show what AI can do today and build the automations that pay back first.

[Book an AI audit](https://www.aigentcy.com/audit/)

## Related topics

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-   [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/)
-   [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/)
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-   [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/)
-   [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/)
-   [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/)
-   [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/)
-   [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/)

Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.
