SOC 31-9091Canada NOC 33100Insulated

Dental assistants: AI exposure and career outlook

Dental assistants (SOC 31-9091) sit at the 8th percentile for measured AI exposure among the 342 occupations tracked here, measured from a composite of Microsoft Research and Anthropic Economic Index telemetry. An estimated 6% of tasks are already automated and 15% are being reshaped rather than replaced — both modelled figures, not direct measurements. Insulated group: little measured AI exposure so far. No urgency here, though the tools are still worth having in your hands. In Canada the role maps to NOC 33100 (Dental assistants and dental laboratory assistants), and ESDC's COPS 2024–2033 outlook for that unit group is balance.

Figures last updated 2026-06. Every number on this page is labelled measured or modelled; where a source has no coverage for this occupation, it says so rather than showing a zero.

Key facts

SOC code
31-9091
Canada NOC 2021
33100
TEER level
3 — College / Apprenticeship <2 yrs
COPS outlook
Balance

What the measurements actually say

Three independent studies measure AI exposure for this occupation directly. The two percentages below them are ours, modelled from those measurements.

Measured and modelled AI exposure figures for Dental assistants
MetricValueProvenance
AI applicability6%Measured — Microsoft Research, from 200,000 Copilot conversations classified against O*NET work activities.
Observed AI usage0%Measured — Anthropic Economic Index, share of tasks observed being performed with Claude (CC-BY 4.0).
Academic AI exposure37th percentileMeasured — Felten-Raj-Seamans AIOE index across 774 occupations; the index underlying Statistics Canada's Canadian estimates.
Automation-pattern usageNot availableNot covered by Anthropic's collaboration-mode dataset.
Augmentation-pattern usageNot availableNot covered by Anthropic's collaboration-mode dataset.
Estimated task automation (modelled)6%Modelled from this occupation's measured telemetry composite, mapped through anchors calibrated to Anthropic's published aggregate findings. Our estimate, not per-occupation telemetry.
Estimated task reshaping (modelled)15%Share of tasks where AI acts as co-pilot rather than replacement. Modelled from the measured telemetry composite, calibrated to BCG's published aggregate reshaping rates. Our estimate.
Exposure band: Safe

This skill domain has minimal AI substitution risk. AI is primarily augmenting — not replacing — professionals here.

In Canada: NOC 33100

Dental assistants map to NOC 33100 — Dental assistants and dental laboratory assistants at TEER 3 (College / Apprenticeship <2 yrs). ESDC's COPS 2024–2033 projection for this unit group is Balance.

Mapped via Statistics Canada's official SOC 2018 → NOC 2016 → NOC 2021 correspondence tables. TEER is the second digit of the official NOC code, so it cannot disagree with it.

What this job actually involves

These are the O*NET task statements for Dental assistants— the work itself, as reported by people doing the job — grouped by the work activity each task belongs to. Showing 12 of 16, core tasks first.

The exposure figures above are for the occupation as a whole. We do not have a per-task measurement: no published dataset tells us which of these specific tasks AI is doing. Read this as what the job is made of, not as a ranking of what is at risk.

Microsoft's applicability score was itself produced by classifying Copilot conversations against the O*NET work-activity catalogue — the same catalogue these groups come from. The published file gives one number per occupation, not one per activity, so we can tell you that 6% of this occupation's work activities are covered by observed AI usage, but not which ones.

Handling and Moving Objects · 2 tasks

  • Make preliminary impressions for study casts and occlusal registrations for mounting study casts.

    Core task · Importance 4.2/5 (O*NET)

  • Pour, trim, and polish study casts.

    Core task · Importance 4.1/5 (O*NET)

Assisting and Caring for Others · 2 tasks

  • Assist dentist in management of medical or dental emergencies.

    Core task · Importance 4.7/5 (O*NET)

  • Apply protective coating of fluoride to teeth.

    Core task · Importance 4.2/5 (O*NET)

Getting Information · 1 task

  • Take and record medical and dental histories and vital signs of patients.

    Core task · Importance 4.3/5 (O*NET)

Scheduling Work and Activities · 1 task

  • Schedule appointments, prepare bills and receive payment for dental services, complete insurance forms, and maintain records, manually or using computer.

    Core task · Importance 4.2/5 (O*NET)

Performing General Physical Activities · 1 task

  • Prepare patient, sterilize or disinfect instruments, set up instrument trays, prepare materials, or assist dentist during dental procedures.

    Core task · Importance 4.8/5 (O*NET)

Controlling Machines and Processes · 1 task

  • Expose dental diagnostic x-rays.

    Core task · Importance 4.6/5 (O*NET)

Documenting/Recording Information · 1 task

  • Record treatment information in patient records.

    Core task · Importance 4.8/5 (O*NET)

Interpreting the Meaning of Information for Others · 1 task

  • Provide postoperative instructions prescribed by dentist.

    Core task · Importance 4.6/5 (O*NET)

Training and Teaching Others · 1 task

  • Instruct patients in oral hygiene and plaque control programs.

    Core task · Importance 4.3/5 (O*NET)

Monitoring and Controlling Resources · 1 task

  • Order and monitor dental supplies and equipment inventory.

    Core task · Importance 4.6/5 (O*NET)

Task statements and work activities from the O*NET Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under CC BY 4.0. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not reviewed or approved this material.

That's the average. Is this you?

Everything above describes Dental assistants as a whole. Three questions, and nothing is stored or sent.

Where are you in your career?

What does your week mostly look like?

Is your employer deploying AI?

Where the leverage is

With low AI exposure, the focus for this role is on adopting productivity tools. Leverage AI for scheduling, administrative tasks, and analytics to double operational throughput.

Physical requirements and manual dexterity provide strong natural insulation from AI substitution. AI is primarily a peripheral tool for diagnostics.

Canada transition step

Obtain technical certifications in advanced diagnostic tools and smart systems relevant to dental assistants to prepare for future technological integrations.

This guidance is written per exposure band — three texts across all 342 occupations, framed on the ILO's transformation-versus-displacement distinction. It is editorial guidance for the safe band, not an occupation-specific research finding about dental assistants.

Sources for this occupation

Only the sources that hold data for dental assistants are listed. A study that does not cover this occupation is not cited here.

  • Microsoft Research — Working with AI (Tomlinson et al., arXiv:2507.07935): Measured AI applicability, from 200,000 anonymised Copilot conversations classified against O*NET work activities.
  • Anthropic Economic Index: Measured observed AI usage per occupation, from Anthropic's open per-SOC dataset (CC-BY 4.0).
  • Felten, Raj & Seamans — AI Occupational Exposure index: Measured academic exposure percentile; the index underlying Statistics Canada's Canadian AI-exposure estimates (Mehdi & Morissette, 2024).
  • O*NET Database 31.0 (USDOL/ETA), CC BY 4.0: The occupation's task statements and work activities, verbatim. Joined on SOC 2018 with no crosswalk — O*NET-SOC is built on SOC — and carrying no claim about which tasks AI touches.
  • Statistics Canada NOC 2021 concordance: Official SOC 2018 → NOC 2016 V1.3 → NOC 2021 V1.0 correspondence tables. TEER is the second digit of the resolved code, so we report it only where the concordance gave a single candidate.
  • ESDC COPS 2024–2033: Projected labour-market assessment per NOC 2021 unit group, from the Canadian Occupational Projection System open dataset.
  • BCG — AI Will Reshape More Jobs Than It Replaces (April 3, 2026): Published aggregate reshaping rates, used to calibrate our modelled percentages. The per-occupation figures here are our estimates, not BCG's data.

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This is the picture for the role. What about your skills?

These numbers describe an occupation, not a person. Map your own skills against them, see which pathways stay open, and plan the transition you actually want.