Postsecondary teachers: AI exposure and career outlook
Postsecondary teachers (SOC 25-1099) has no measured AI-exposure telemetry in the Microsoft Research or Anthropic Economic Index datasets. The modelled estimates below — 53% of tasks automated, 65% reshaped — derive from a legacy exposure score rather than measured usage, and should be read with that limitation in mind. No measured automation-versus-augmentation split has been published for this occupation, so we do not place it on that axis at all. It is measurably exposed; which way that resolves is something we do not know, and would rather say than guess.
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
- 25-1099
- Canada NOC 2021
- Not mapped
- TEER level
- Not available
- COPS outlook
- Not assessed
What the measurements actually say
None of the three studies we track report a figure for this occupation. The two percentages below are ours, modelled from an earlier estimate rather than from telemetry for this role.
| Metric | Value | Provenance |
|---|---|---|
| AI applicability | Not available | Not covered by Microsoft's occupation-level study. |
| Observed AI usage | Not available | Not covered by Anthropic's occupation-level dataset. |
| Academic AI exposure | Not available | Not covered by the Felten AIOE table. |
| Automation-pattern usage | Not available | Not covered by Anthropic's collaboration-mode dataset. |
| Augmentation-pattern usage | Not available | Not covered by Anthropic's collaboration-mode dataset. |
| Estimated task automation (modelled) | 53% | Modelled from a legacy exposure score (no telemetry coverage for this occupation). Our estimate. |
| Estimated task reshaping (modelled) | 65% | Share of tasks where AI acts as co-pilot rather than replacement. Modelled from a legacy exposure score (no telemetry coverage). |
This skill domain faces significant AI substitution. The opportunity is in pivoting to AI orchestration and higher-order human judgment within the domain.
What this job actually involves
No O*NET task statements are published for this occupation. It is a BLS occupation group with no corresponding O*NET occupation, so there is no task list to show — not one we withheld.
That's the average. Is this you?
Everything above describes Postsecondary teachers 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
Transition to high-value advisory, complex case analysis, or AI system oversight. The pivot is to move from routine execution to AI orchestration and quality assurance.
Cognitive, information-based tasks are highly exposed. Entry-level displacement pressure is high, necessitating transition to advisory and governance roles.
Master workflow automation platforms (e.g., Make, Zapier, CRM integrations) to double your output and position for fractional leadership roles.
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 high risk band, not an occupation-specific research finding about postsecondary teachers.
Sources for this occupation
Only the sources that hold data for postsecondary teachers are listed. A study that does not cover this occupation is not cited here.
- 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.
Related occupations
Other roles in Science & Education.
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.