As of July 2026, Barbers has an AI-exposure score of 35/100 (Low 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), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Barbers

35/100
Low exposure
LowModerateElevatedHighVery High

More exposed than 4% of the roles we track. Median pay ~US$38,210. About 8,400 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.

Early-career context (study ages 22-25)

This role is in our Low exposure band, not our highest-exposure bands. The study's 16% finding should not be applied directly to this role.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

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

Provide barbering services, such as cutting, trimming, shampooing, and styling hair; trimming beards; or giving shaves.

Common titles
BarberBarber Shop OperatorBarber StylistStylist
O*NET job-zone preparation
Job Zone 3 · Medium Preparation Needed Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree. Previous work-related skill, knowledge, or experience is required for these occupations.

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

Skills and knowledge
Service OrientationSocial PerceptivenessSpeakingJudgment and Decision MakingCustomer and Personal ServiceAdministration and Management
Tools and technology
FacebookLinuxMicrosoft ExcelMicrosoft Office softwareMicrosoft PowerPointMicrosoft Windows
Work context
Frequent contact with othersDecision latitudeTelephoneFace-to-face discussionsIndoor controlled setting

Source: O*NET 29.1 exact occupation - Barbers, SOC 39-5011.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Barbers tasks, by AI exposure

Automatable
  • Record services provided on cashiers' tickets or receive payment from customers.
Augmentable
  • Keep card files on clientele, recording notes of work done, products used and fees charged after each visit.
  • Order supplies.
7 more augmentable tasks locked in the report.
Durable
  • Drape and pin protective cloths around customers' shoulders.
  • Question patrons regarding desired services and haircut styles.
6 more durable tasks locked in the report.

We analyzed all 18 Barbers tasks - 1 automatable, 9 augmentable and 8 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

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.

Adjacent career paths

This role is already among lower-exposure work. The adjacent paths below are shown for opportunity and skill transfer, not as lower-exposure alternatives.

Hairdressers, Hairstylists, and Cosmetologists
80% skills overlap; 3 points higher - similar exposure within the 5-point model resolution; Low band; ~US$35,790
View path
38
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Record services provided on cashiers' tickets or receive payment from customers.

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.