CAREERMASH · TEN-MINUTE LESSON SHEET · HAIR & BEAUTY · MEASURED AUGUST 2026
Who does AI come for first in Hair & Beauty?
Objectives (Gatsby 2 & 4 aligned)
- Students can explain what an AI exposure score measures (a Careermash index of how exposed a job's tasks are to AI today; an estimate, not a direct measurement of use, and not a prediction).
- Students can name one career in Hair & Beauty that measures low and one that measures high, and say why the difference exists.
- Students can describe one “moat”: something structural that protects work from software.
The activity (8-10 minutes)
- Project whatcareer.net/en/yellow/class and pick Hair & Beauty.
- Each round: two careers, hands-up vote on which one AI is doing more of, arrow key to record the room's call, space to flip.
- After eight rounds, print the lesson record (one click on the final screen).
Discussion prompts, from this subject's live cards
- Hairpiece and wig makers measures 5 and Tattoo studio managers and proprietors measures 30, in the same subject. What is different about the day-to-day tasks?
- Of the Hair & Beauty careers shown, 6 have a structural moat. Which moat would you rather stand behind: hands-on work, legal accountability, or people wanting a real person - and why?
- A high score is an estimate of today's exposure, not a prediction of disappearance. What is one job where AI does much of the work and humans still matter more than ever?
Sources on every card: whatcareer.net/en/yellow · AI exposure today blends Anthropic and OpenAI research (2026), matched to each job by keyword or subject area, with our own UK moat, robotics and science reviews; entry difficulty is a Careermash rule of thumb, not a forecast. This sheet regenerates from live data; reprint each term rather than filing it.