Will AI replace Baristas?
Estimated risk score: 27 out of 100
Lower replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (8 to 46).
For the occupation as a whole, from ratings of its 19 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 35-3023.01 · Food Preparation and Serving Related
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 4 of its 19 rated tasks. In O*NET’s words.
- Receive and process customer payments.
- Describe menu items to customers, or suggest products that might appeal to them.
- Provide customers with product details, such as coffee blend or preparation descriptions.
- Create signs to advertise store products or events.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 15 of its 19 rated tasks; the first 6 are shown. In O*NET’s words.
- Check temperatures of freezers, refrigerators, or heating equipment to ensure proper functioning.
- Clean or sanitize work areas, utensils, or equipment.
- Clean service or seating areas.
- Demonstrate the use of retail equipment, such as espresso machines.
- Prepare or serve hot or cold beverages, such as coffee, espresso drinks, blended coffees, or teas.
- Prepare or serve menu items, such as sandwiches or salads.
What the job is
Prepare or serve specialty coffee or other beverages. Serve food such as baked goods or sandwiches to patrons.
Also called: Catering Barista, Cafe Barista, Coffee Barista, Coffee Sommelier, Gourmet Coffee Attendant.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate