Hairdressers, Hairstylists, and Cosmetologists
AI is not doing this work today.
This occupation's activities barely register in measured AI usage. Generative AI is not doing this work today. The pressures that matter here are more likely economic or robotic than linguistic.
Where this occupation sits among all 785 measured. Bands are quintiles of the real distribution. Applicability measures task overlap with observed AI usage. It is not a probability of job loss.
What this job involves
Provide beauty services, such as cutting, coloring, and styling hair, and massaging and treating scalp. May shampoo hair, apply makeup, dress wigs, remove hair, and provide nail and skincare services.
Where AI overlaps this work, activity by activity
The occupation's most important work activities (O*NET weights, normalized to this set), each with its measured AI performance across 200,000 real conversations: how often AI is used for it, how well it completes it, and how much of the activity it covers.
| Work activity | Share of role | AI performance |
|---|---|---|
| Groom or style hair. | 23.0% | Not observed 0.00 |
| Apply hygienic or cosmetic agents to skin or hair. | 19.2% | Not observed 0.00 |
| Clean tools, equipment, facilities, or work areas. | 7.1% | Not observed 0.00 |
| Schedule appointments. | 6.3% | Not observed 0.00 |
| Maintain operational records. | 6.3% | Not observed 0.00 |
| Evaluate patient or client condition or treatment options. | 6.0% | Not observed 0.00 |
| Sell products or services. | 5.6% | Not observed 0.00 |
| Promote products, services, or programs. | 5.6% | High overlap 0.72 |
| Train others to use equipment or products. | 5.6% | Not observed 0.00 |
| Advise patients or clients on medical issues. | 5.2% | High overlap 0.66 |
| Execute financial transactions. | 5.0% | Moderate 0.52 |
| Create artistic designs or performances. | 5.0% | Emerging 0.23 |
"Not observed" is a measurement, not missing data: that activity does not meaningfully appear in the usage sample. AI performance = completion × scope × coverage (user-goal view), 0–1.
What drives this score: the biggest AI-overlapped activity in this role is promote products, services, or programs; the most important activity AI is not observed doing is groom or style hair. The plan below is built around exactly that split.
Low exposure is an asset. Spend it deliberately.
Next 30 days
- Don't buy the panic. This occupation's activities barely appear in AI usage data. Your near-term exposure is other people's headlines, not your tasks.
- Skim the gains anyway. Even here, an assistant helps with the thin admin layer: Promote products, services, or programs is the one place the data shows any overlap.
Next 90 days
- Deepen the human core. Activities like Groom or style hair are measured as fully outside current AI. Mastery there is compounding, defensible value.
- Mentor the exposed. Colleagues in adjacent office-heavy roles are the ones facing redesign; understanding their tools makes you a better coordinator and leader.
The longer game
- Watch the actual frontier for this work: usually physical automation, demographics or regulation rather than language models. This dataset intentionally measures only generative AI.
- Revisit after major data updates. If this page's vintage changes and your band moves, the plan moves with it.
- AI applicability score and per-activity metrics: Tomlinson, Jaffe, Wang, Counts & Suri, Working with AI: Measuring the Applicability of Generative AI to Occupations, Microsoft Research 2025 (arXiv:2507.07935), data CC BY 4.0.
- Occupation description and activity structure: O*NET 30.0 Database, USDOL/ETA, CC BY 4.0.
- Bands, personalization weights and action plans are JobRiskAI editorial layers; method and limitations on the methodology page.