← Risk register SOC 29-1021 · reviewed 2026-08-11

Dentists, General

124,390 US workers · median $170,950/yr · Healthcare

SAFE

The core of general dentistry is millimeter-scale work inside a moving, sensitive human mouth — drilling and filling caries, extractions, crown prep, root canals, administering local anesthetic — which no current robotic system performs unsupervised. AI already reads bitewing radiographs for caries and bone loss better than the median practitioner and drafts treatment plans, insurance narratives, and clinical notes, so the diagnostic and paperwork layers compress. State dental licensure plus personal malpractice liability means a licensed human owns every treatment decision and every signature.

10-year outlook: Ten years out, dentists still drill and extract, but AI runs diagnosis support, coding, and front-office work — practices get leaner in staff and the dentist's day skews further toward procedures.

US employment, 2019–2025+12.3%
110,730124,390 workers

Dipped in 2020, then grew past where it started.

Median pay $155,600 → $170,950 -12.1% in real terms (nominal +9.9%, less ~25% US inflation over the period)

The job count is not the verdict

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

+4.1% 129,800 → 135,200 on the projections basis

Hard to automate, and growing

The work resists current AI and the BLS projects +4.1% more of these jobs by 2034. Note that safe does not mean well paid — several of the fastest-growing resistant occupations are among the lowest paid on the register.

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.

~3,900 openings a year on average, including replacing people who leave.

One email if this score changes. Watch as many occupations as you like from the same address — no account, and nothing is sent on a schedule, only when a verdict actually moves.

Also known as — 12 job titles this covers

Titles reported by people doing this work, from the US Department of Labor's O*NET survey. If your job title is here, this page is about your work even though the name doesn't match.

DentistEndodontistPeriodontistDental OfficerFamily DentistGeneral DentistPediatric DentistPublic Health DentistDental Surgery Doctor (DDS)Dental Medicine Doctor (DMD)Doctor of Dental Surgery (DDS)Doctor of Dental Medicine (DMD)

Score — 85/100 resistance

Holding it up: embodiment (19/20). Weakest point: task resistance (15/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 15 + 19 + 19 + 16 + 16 = 85. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 15/20

Tasks largely resist digitisation Caries detection on bitewings, periapical bone-loss measurement, and treatment-plan drafting are the tasks AI already does well, but crown margin preparation, extracting a fractured root, locating a calcified canal, and adjusting occlusion by feel with articulating paper are the bulk of chair time and are why this sits at 15 rather than 18 — the imaging and documentation half of the day is genuinely compressible.

Embodiment 19/20

Hands-on in uncontrolled environments Every billable procedure happens with instruments inside a live airway — a patient who gags, bleeds, moves, or reacts to lidocaine mid-drill — and the operating field shifts with tongue, saliva and mandible position, which is uncontrolled in a way a surgical robot on a fixed pelvis is not.

Liability shield 19/20

Licensed human required and personally liable State board licensure, DEA registration for prescribing, and a malpractice policy in your own name mean a paresthesia after a lower third molar extraction or a perforated furcation is your negligence claim, not the practice's software vendor's.

Trust premium 16/20

The human relationship is the product Patients tolerate needles and burs because they have sat in your chair for years and recall bases much of general dentistry on returning families, but a meaningful share of production is walk-in emergencies, insurance-network assignment, and DSO-employed rotations where the patient came for the office, not you — hence 16 rather than 19.

Judgment & accountability 16/20

Exists to be accountable for ambiguous calls Deciding whether a cracked, deeply restored molar gets a crown, a root canal, or extraction with implant referral, and whether an anxious cardiac patient on anticoagulants should be treated in-office at all, are calls with no protocol answer, radiographs that support both options, and consequences you carry for a decade.

Confidence: high · reviewed 2026-08-11 · how scoring works

What this job involves — and which parts are yours

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.

AI already does these at usable quality

These still need a person

Active moats on the surviving side: embodiment, licensure, liability, trust

How to future-proof this job

Where to go deeper on what this job runs on: Coursera — critical thinking and logic, audit free free to audit · Coursera — decision making under uncertainty free to audit · Khan Academy — reading and vocabulary, all levels, free free · Coursera — active listening and communication skills free to audit · Toastmasters — public speaking practice at local clubs worldwide low · edX — performance measurement and evaluation free to audit

All 35 skills ranked by how many jobs they open →

What would move this back up — beyond any one person

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 91/100, still SAFE.

4 specific changes that would raise this score
  • already happening judgment accountability +2

    As AI takes over radiographic reads and note-writing, the dentist's remaining day concentrates on contested calls: watch-vs-restore on incipient lesions, extract-vs-endo, treating medically complex or anticoagulated patients, and overriding AI overtreatment flags that insurers and state AGs are already scrutinizing (DSO overdiagnosis suits). If payers begin requiring a named dentist attestation for AI-flagged treatment plans, ownership of ambiguity rises.

  • already happening task resistance +2

    Two-tier shift: if imaging interpretation, insurance narratives, and charting are fully absorbed, the residual job is almost entirely chairside operative work plus contested judgment — raising the share of the day AI cannot do, even as absolute hours fall.

  • plausible liability shield +1

    State dental boards explicitly codifying that AI caries-detection and treatment-planning output is advisory only, with the licensed dentist retaining sole diagnostic responsibility — the pattern in ADA policy statements and in board guidance already issued on teledentistry supervision; also a board rule requiring an in-person licensed dentist of record for any AI-guided or robot-assisted procedure (e.g., Yomi-class haptic systems, Perceptive's autonomous crown prep trials).

  • unlikely trust premium +1

    Patient willingness to pay specifically for a human operator is already near-ceiling for invasive intraoral procedures; a visible adverse-event record from an autonomous prep system would harden it, but there is little headroom to score.

The limit. At 85 the constraint is arithmetic, not institutional — embodiment and liability are already near maximum. The real risk to this occupation is headcount and per-procedure revenue (AI-driven hygienist/therapist scope expansion, DSO throughput models), which this register does not measure.

These are conditions, not forecasts — what would have to happen, not what will. Specific rules, cases and bills are named so you can go and check whether they exist and where they stand; verify before relying on any of them. Nothing here is legal or financial advice.

Where this work is, and what it pays there

BLS metro figures for 321 areas. The verdict above does not change by city — the rubric judges what the work involves, not where it happens — but pay and headcount do, and the national median hides a very wide range.

Most of these jobs

New York-Newark-Jersey City, NY-NJ 7,240 $190,010 +11%
Los Angeles-Long Beach-Anaheim, CA 6,300 $139,990 -18%
Chicago-Naperville-Elgin, IL-IN 5,910 $156,100 -9%
Miami-Fort Lauderdale-West Palm Beach, FL 3,270 $172,210 +1%
Washington-Arlington-Alexandria, DC-VA-MD-WV 3,040 $184,540 +8%
Dallas-Fort Worth-Arlington, TX 2,890 $179,990 +5%
Phoenix-Mesa-Chandler, AZ 2,700 $194,180 +14%
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 2,570 $163,390 -4%

Best paid

North Port-Bradenton-Sarasota, FL 450 $241,850 +41%
Memphis, TN-MS-AR 280 $238,040 +39%
Columbia, SC 480 $228,820 +34%

Percentages are against this occupation's national median of $170,950. Counts are jobs in that metro, not vacancies. Metros where the BLS suppressed the cell are absent rather than shown as zero.

Who is actually doing this — nobody, on the record

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 85. 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.

Read that as a gap in the reporting we can see, not proof of absence — the dispatch runs on English-language feeds and misses plenty. If you know of a case, tell us, or add a field report from inside the job.

Quick take — do you do this job?

Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.

Self-reported and unverified — a sentiment signal, not a survey. One response per person per occupation; you can change your answer.

Field reports — what people say has changed

No field reports yet. A written account takes a paragraph rather than a tap, goes to an editor before it appears, and is the one thing on this page the rubric cannot produce on its own.

File a field report

Concrete beats general: a tool that arrived, a task that moved, a headcount decision you watched happen. Don't include anything that identifies you or your employer if that would put you at risk.

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