Share and intensity of work current AI systems can materially affect.
SOC 25-1123
Teachers, Postsecondary AI displacement risk
Lecture drafting, quiz generation, and grading assistance are strongly AI-augmentable. Mentorship, research supervision, seminar facilitation, and scholarly judgment remain the core of professor work, though AI is changing course design expectations.
Likely potential for exposed tasks to move to software after workflow integration.
This record uses an English and literature proxy SOC for the broader professor population; exposure varies sharply by discipline. Content-delivery-heavy teaching is more exposed than mentorship and research supervision.
Distribution
Where Teachers, Postsecondary sits across 620 tracked roles
Displacement pressure 32 — higher than 52% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
30 O*NET task statements matched to SOC 25-1123. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $78,760 (May 2025, US national). The latest BLS row matched SOC 25-1123.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Teachers, Postsecondary
SOC 25-1123 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 32/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Teachers, Postsecondary
The current evidence import matched 30 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks30
SOC25-1123
- Core task / ID 21127
Teach writing or communication classes.
- Core task / ID 6311
Evaluate and grade students' class work, assignments, and papers.
- Core task / ID 6312
Prepare course materials, such as syllabi, homework assignments, and handouts.
- Core task / ID 6310
Initiate, facilitate, and moderate classroom discussions.
- Core task / ID 6314
Maintain student attendance records, grades, and other required records.
- Core task / ID 6315
Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Prepare course materials and lectures
Exposure 72, automation 28%, augmentation 76%.
O*NET evidence: Prepare course materials, such as syllabi, homework assignments, and handouts. (ID 6312)
Grade assignments and papers
Exposure 58, automation 30%, augmentation 62%.
O*NET evidence: Evaluate and grade students' class work, assignments, and papers. (ID 6311)
Facilitate discussions and seminars
Exposure 20, automation 5%, augmentation 36%.
O*NET evidence: Initiate, facilitate, and moderate classroom discussions. (ID 6310)
Conduct and publish research
Exposure 42, automation 14%, augmentation 60%.
O*NET evidence: Conduct research in a particular field of knowledge and publish findings in professiona... (ID 6321)
TaskExposureAutomationAugmentation
Prepare course materials and lectures7228%76%
Grade assignments and papers5830%62%
Facilitate discussions and seminars205%36%
Conduct and publish research4214%60%
Transition pathways
Adjacent moves that preserve existing skills
adjacent role
ModerateInstructional Designer
Training horizon: 3-8 months. Skill overlap 70. Wage preservation signal 100.
- Build online course modules
- Measure learning outcomes
- Apply accessibility standards
role redesign
ModerateAcademic Program Director
Training horizon: 3-8 months. Skill overlap 66. Wage preservation signal 108.
- Own curriculum review cycles
- Set AI use policies
- Coordinate faculty development
Comparison guides
Compare the next move before you commit
3-8 months
Teachers, Postsecondary to Instructional Designer
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Teachers, Postsecondary into Instructional Designer.
3-8 months
Teachers, Postsecondary to Academic Program Director
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Teachers, Postsecondary into Academic Program Director.
What the AI risk score means for Teachers, Postsecondary
The displacement pressure score for Teachers, Postsecondary is 32. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Grade assignments and papers carries 30% automation pressure, while Prepare course materials and lectures carries 76% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $78,760 (May 2025, US national). Employment context: Large higher-education workforce with adjunct-heavy structure. Typical education: Doctoral or terminal degree typical.
Wage vulnerability is 36, while transition feasibility is 68. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low to moderate displacement pressure
- Course prep is augmenting fast
- Mentorship and research are durable
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Teachers, Postsecondary, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Course design
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Mentorship
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
AI-aware assessment
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Scholarly judgment
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Instructional Designer, such as build online course modules.
- By 90 days, compare internal openings and external postings for Instructional Designer or Academic Program Director and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Teachers, Postsecondary
Will AI replace Teachers, Postsecondary?
Lecture drafting, quiz generation, and grading assistance are strongly AI-augmentable. Mentorship, research supervision, seminar facilitation, and scholarly judgment remain the core of professor work, though AI is changing course design expectations. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Teachers, Postsecondary work are most exposed to AI?
Grade assignments and papers and Prepare course materials and lectures show the strongest automation pressure in this model. Prepare course materials and lectures and Grade assignments and papers are better treated as AI-augmented work.
What should Teachers, Postsecondary learn next?
Start with Course design, Mentorship, AI-aware assessment. The most practical adjacent paths in this model are Instructional Designer and Academic Program Director.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureOECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics