EXPOSED
The modal self-enrichment teacher — guitar lessons, yoga, pottery, conversational Spanish, cooking classes, test prep — sells live presence, physical correction, and group energy, which AI cannot replicate in a studio. But the content layer is already commoditized: lesson plans, exercise sequences, vocabulary drills, and practice materials are free and instant, and AI language tutors, form-checking fitness apps, and on-demand video courses eat directly into the beginner-instruction market that supports much of this workforce. There is no license protecting the role, so competition is purely about who students want to show up for.
Dipped in 2020, then grew past where it started.
Median pay $39,190 → $46,800 -4.5% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
+3.7%
Percentage only. The projection counts a different population from the 332,110 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Growing, and only partly exposed
The BLS expects +3.7% more of these jobs by 2034, and at 50/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~51,400 openings a year on average, including replacing people who leave.
TeacherEducatorInstructorArt TeacherVoice CoachArt EducatorChef TeacherBaton TeacherChoir TeacherDance TeacherDrama TeacherFlute TeacherMusic TeacherOrgan TeacherPiano TeacherPilot TeacherVocal TeacherVoice TeacherActing TeacherArt InstructorBallet TeacherBridge TeacherChoral TeacherDramatic Coach
Holding it up: trust premium . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier Demonstrating a wheel-throwing pull, adjusting a student's fingering mid-scale, or catching a collapsing warrior-two in real time can't be pushed to a screen, but curriculum design, level-appropriate exercise sequencing, drill generation, and progress tracking — a large share of the prep hours — are already handled by free apps and generated content, which is what holds this at 11 rather than the high teens.
Hands-on in uncontrolled environments The work happens in studios, dojos, pools, kitchens, and community-center rooms with your hands on clay, instruments, or students' shoulders, in spaces you often don't control (shared rooms, outdoor classes, borrowed equipment) — short of the 17+ reserved for jobs where the physical environment is actively hazardous or unpredictable.
No licence, no signature requirement Anyone can rent a room and advertise lessons; there is no state license, no board, and no protected title for teaching guitar or watercolor, and the 2 rather than 0 reflects only the narrow slice — swim instruction, yoga, martial arts — where insurers or venues demand a private certification (RYA, ACE, Red Cross WSI) that no statute actually requires.
Meaningful discretion You decide when a student is ready for a harder piece, how to modify a pose for a bad knee, and how to keep a distracted eight-year-old at the keyboard — real discretion exercised weekly — but the consequences of a wrong call are a slow month or a lost student, not a diagnosis or a fatality, and there is no external body reviewing your decisions.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (11/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (2/20) is whether the law requires a licensed human to sign. Trust premium (15/20) is whether buyers specifically pay for a person. Judgment and accountability (8/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 25 of this occupation's 50 points (50%).
Embodiment (14/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
No occupation passed every test: close enough to self-enrichment teachers on skills and subject matter, at least 10 points more resistant, no big jump in training, no new licence, no pay cut, and not shrinking on its own. That happens for 223 of the 654 occupations here that aren't SAFE, and it is worth stating plainly rather than leaving the section off.
The usual reason is that exposure travels with the skill profile. The jobs most similar to yours tend to be exposed for the same reasons yours is, so the near neighbours don't clear the gap — and the ones that do are a different kind of work, not a transfer of what you already know. Read that as a limit of this method, not a verdict that you're stuck: it only compares whole occupations, and it cannot see specialisation, industry, or anything you'd bring that isn't in a federal skill survey.
Here is that claim on your own job rather than in the abstract. These are the three occupations closest to this one by skill and subject matter — the places the work would most naturally transfer — with what the register scores them:
That is the whole problem in three lines. The nearest work is not meaningfully safer, so there is no move here that trades a similar skill set for a better verdict. This is not us running out of ideas — it is what the neighbourhood looks like.
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 63/100, still EXPOSED.
Continued growth of in-person social-hobby spend as a deliberate antidote to screen time — visible already in run clubs, ceramics studio waitlists, and adult rec-league enrollment. If studios market explicitly on 'taught by a human, no app' and consumers keep paying a premium for the room rather than the curriculum, the beginner tier stops being the price-sensitive floor.
Task-mix shift within the genuinely two-tier segments: if AI absorbs beginner scales, vocabulary drill, and rep counting, the surviving paid hour is diagnosis of an individual's bad habit, injury-aware modification, performance/audition prep, and motivational adherence. This is real for music, movement, and language, and largely fake for crafts-as-entertainment.
Insurer-driven credentialing in the physical-risk subset: if studio liability carriers require documented certification (RYT-500 for yoga, ACE/NASM for fitness, WSI for swim) naming the individual instructor on the policy, a specific human becomes legally attached to the session. Partly in force already for gym chains and some yoga studios.
Chaperone/duty-of-care expectations for minors: if state child-safety rules or insurer requirements make a background-checked adult physically present mandatory for youth music, swim, gymnastics, and martial arts instruction, the human becomes a compliance requirement rather than a preference. Youth swim and gymnastics already operate this way via USA Swimming / USA Gymnastics safe-sport rules.
Formal scope-of-practice and injury-screening duties: if state boards or professional bodies (e.g., Yoga Alliance, Pilates Method Alliance) impose documented intake screening and referral-out obligations for students with medical conditions, the instructor owns a consequential triage call under ambiguity.
The limit. Realistic ceiling is roughly 60-65. The gains concentrate in the physical-risk and youth segments; the pure content teachers — conversational language, test prep, hobby coding, adult craft one-offs — have no credentialing body, no injury liability, and no chaperone requirement, and no plausible route to one. For that half of the 332,110, none of these levers apply.
| New York-Newark-Jersey City, NY-NJ | 33,380 | $59,600 +27% |
| Los Angeles-Long Beach-Anaheim, CA | 22,400 | $49,070 +5% |
| Chicago-Naperville-Elgin, IL-IN | 12,740 | $45,020 -4% |
| San Francisco-Oakland-Fremont, CA | 10,540 | $59,470 +27% |
| Boston-Cambridge-Newton, MA-NH | 9,110 | $50,250 +7% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 8,680 | $46,650 +0% |
| Seattle-Tacoma-Bellevue, WA | 8,560 | $48,530 +4% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 7,470 | $59,760 +28% |
| Lake Charles, LA | 310 | $79,580 +70% |
| Brownsville-Harlingen, TX | 210 | $73,430 +57% |
| Albany, OR | 110 | $62,400 +33% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 50. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.