Share and intensity of work current AI systems can materially affect.
SOC 25-1125
History Teachers, Postsecondary AI displacement risk
History faculty teach students to interrogate sources while AI summarizes those sources instantly and confidently. That makes the discipline's core skill, detecting bias, provenance, and omission, more valuable to teach, even as lecture content itself becomes cheap to generate.
Likely potential for exposed tasks to move to software after workflow integration.
The classroom pressure is real: AI-written essays force assessment redesign toward in-class analysis and oral defense. But a generation raised on generated summaries needs source criticism more than any before it, and faculty are the ones who teach it.
Distribution
Where History Teachers, Postsecondary sits across 620 tracked roles
Displacement pressure 30 — higher than 48% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
25 O*NET task statements matched to SOC 25-1125. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $83,820 (May 2025, US national). The latest BLS row matched SOC 25-1125.
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 History Teachers, Postsecondary
SOC 25-1125 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 30/100 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 History Teachers, Postsecondary
The current evidence import matched 25 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 tasks25
SOC25-1125
- Core task / ID 6358
Prepare course materials, such as syllabi, homework assignments, and handouts.
- Core task / ID 6356
Prepare and deliver lectures to undergraduate or graduate students on topics such as ancient history, postwar civilizations, and the history of third-world countries.
- Core task / ID 6360
Initiate, facilitate, and moderate classroom discussions.
- Core task / ID 6361
Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.
- Core task / ID 6365
Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.
- Core task / ID 6359
Compile, administer, and grade examinations, or assign this work to others.
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 and deliver lectures on history
Exposure 56, automation 28%, augmentation 70%.
O*NET evidence: Prepare and deliver lectures to undergraduate or graduate students on topics such as an... (ID 6356)
Conduct research and publish findings
Exposure 50, automation 25%, augmentation 66%.
O*NET evidence: Conduct research in a particular field of knowledge and publish findings in professiona... (ID 6365)
Evaluate and grade student work
Exposure 56, automation 31%, augmentation 62%.
O*NET evidence: Evaluate and grade students' class work, assignments, and papers. (ID 6357)
Review books and articles for publication
Exposure 48, automation 24%, augmentation 60%.
O*NET evidence: Review books and journal articles for potential publication. (ID 20101)
TaskExposureAutomationAugmentation
Prepare and deliver lectures on history5628%70%
Conduct research and publish findings5025%66%
Evaluate and grade student work5631%62%
Review books and articles for publication4824%60%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
ModerateDepartment Chair
Training horizon: 12-24 months. Skill overlap 64. Wage preservation signal 116.
- Lead assessment redesign
- Manage faculty hiring
- Own program outcomes
role redesign
ModeratePublic History Director
Training horizon: 6-12 months. Skill overlap 66. Wage preservation signal 108.
- Lead exhibits and programming
- Serve community partners
- Digitize collections
Comparison guides
Compare the next move before you commit
12-24 months
History Teachers, Postsecondary to Department Chair
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from History Teachers, Postsecondary into Department Chair.
6-12 months
History Teachers, Postsecondary to Public History Director
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from History Teachers, Postsecondary into Public History Director.
What the AI risk score means for History Teachers, Postsecondary
The displacement pressure score for History Teachers, Postsecondary is 30. 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. Evaluate and grade student work carries 31% automation pressure, while Prepare and deliver lectures on history carries 70% 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: $83,820 (May 2025, US national). Employment context: Faculty role teaching source criticism in the summary era. Typical education: Doctoral degree typical.
Wage vulnerability is 30, while transition feasibility is 71. 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.
- Moderate displacement pressure
- AI essays force assessment redesign
- Source criticism demand grows
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For History 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.
History instruction
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.
Source research
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.
Academic writing
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.
Seminar facilitation
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 Department Chair, such as lead assessment redesign.
- By 90 days, compare internal openings and external postings for Department Chair or Public History Director and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and History Teachers, Postsecondary
Will AI replace History Teachers, Postsecondary?
History faculty teach students to interrogate sources while AI summarizes those sources instantly and confidently. That makes the discipline's core skill, detecting bias, provenance, and omission, more valuable to teach, even as lecture content itself becomes cheap to generate. 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 History Teachers, Postsecondary work are most exposed to AI?
Evaluate and grade student work and Prepare and deliver lectures on history show the strongest automation pressure in this model. Prepare and deliver lectures on history and Conduct research and publish findings are better treated as AI-augmented work.
What should History Teachers, Postsecondary learn next?
Start with History instruction, Source research, Academic writing. The most practical adjacent paths in this model are Department Chair and Public History 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