As of July 2026, Baristas has an AI-exposure score of 47/100 (Moderate exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026). BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Baristas

47/100
Moderate exposure
LowModerateElevatedHighVery High

More exposed than 24% of the roles we track. Median pay ~US$31,200. About 904,300 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

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How this role compares to similar Food Service roles

Baristas (this role)
47
Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop
47
Food Servers, Nonrestaurant
47
Fast Food and Counter Workers
48
Dishwashers
45
Cooks, Institution and Cafeteria
43
See all roles by exposure →
Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Prepare or serve specialty coffee or other beverages. Serve food such as baked goods or sandwiches to patrons.

Common titles
BaristaCatering Barista
O*NET job-zone preparation
Job Zone 1 · Little or No Preparation Needed Some of these occupations may require a high school diploma or GED certificate. Little or no previous work-related skill, knowledge, or experience is needed for these occupations.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Service OrientationSpeakingSocial PerceptivenessCoordinationMonitoringReading Comprehension
Tools and technology
Microsoft ExcelMicrosoft Office softwareMicrosoft WordAccounting softwarePoint of sale POS softwareBagel cutters
Work context
Frequent contact with othersExternal customersFace-to-face discussionsDecision latitudeIndoor controlled setting

Source: O*NET 29.1 exact occupation - Baristas, SOC 35-3023.01. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Baristas tasks, by AI exposure

Automatable

No automatable tasks identified for this role - its real, individually-assessed tasks consistently read as augmentable (79%).

Augmentable
  • Set up or restock product displays.
  • Demonstrate the use of retail equipment, such as espresso machines.
13 more augmentable tasks locked in the report.
Durable
  • Clean service or seating areas.
  • Stock customer service stations with paper products or beverage preparation items.
2 more durable tasks locked in the report.

We analyzed all 19 Baristas tasks - 15 augmentable and 4 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

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Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

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Adjacent career paths

Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.

Fast Food and Counter Workers
80% skills overlap; 1 point higher - similar exposure within the 5-point model resolution; Moderate band; ~US$31,200
View path
48
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Set up or restock product displays.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Baristas - median pay by US state (BLS OEWS, USD)

California: US$42,280New York: US$35,250Texas: US$27,740

Median annual wage, in USD. US national: US$31,200. More states are being added.

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