Share and intensity of work current AI systems can materially affect.
SOC 25-1066
Psychology Teachers, Postsecondary AI displacement risk
Psychology faculty teach abnormal psychology and cognitive processes while running research programs on human behavior, including how humans interact with AI. Statistical tooling automates analysis, but study design, research ethics, and methods training are the discipline's defensible core.
Likely potential for exposed tasks to move to software after workflow integration.
Demand for psychology graduates is rising across clinical and product research paths, and replication-crisis awareness makes methods instruction more valued, not less. Faculty who teach students to audit AI-generated analyses guard the field's credibility.
Distribution
Where Psychology 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.
29 O*NET task statements matched to SOC 25-1066. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $80,340 (May 2025, US national). The latest BLS row matched SOC 25-1066.
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 Psychology Teachers, Postsecondary
SOC 25-1066 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 Psychology Teachers, Postsecondary
The current evidence import matched 29 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 tasks29
SOC25-1066
- Core task / ID 6053
Prepare and deliver lectures to undergraduate or graduate students on topics such as abnormal psychology, cognitive processes, and work motivation.
- Core task / ID 6055
Initiate, facilitate, and moderate classroom discussions.
- Core task / ID 6054
Evaluate and grade students' class work, laboratory work, assignments, and papers.
- Core task / ID 6057
Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.
- Core task / ID 6056
Compile, administer, and grade examinations, or assign this work to others.
- Core task / ID 6058
Prepare course materials, such as syllabi, homework assignments, and handouts.
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 psychology lectures
Exposure 54, automation 27%, augmentation 70%.
O*NET evidence: Prepare and deliver lectures to undergraduate or graduate students on topics such as ab... (ID 6053)
Conduct research and publish findings
Exposure 48, automation 24%, augmentation 66%.
O*NET evidence: Conduct research in a particular field of knowledge and publish findings in professiona... (ID 6063)
Evaluate and grade student work
Exposure 54, automation 30%, augmentation 64%.
O*NET evidence: Evaluate and grade students' class work, laboratory work, assignments, and papers. (ID 6054)
Supervise graduate teaching and research
Exposure 24, automation 8%, augmentation 50%.
O*NET evidence: Supervise undergraduate or graduate teaching, internship, and research work. (ID 6061)
TaskExposureAutomationAugmentation
Prepare and deliver psychology lectures5427%70%
Conduct research and publish findings4824%66%
Evaluate and grade student work5430%64%
Supervise graduate teaching and research248%50%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
ModerateDepartment Chair
Training horizon: 12-24 months. Skill overlap 66. Wage preservation signal 116.
- Lead methods curriculum
- Manage faculty hiring
- Own program outcomes
role redesign
ModerateBehavioral Research Scientist
Training horizon: 6-12 months. Skill overlap 68. Wage preservation signal 110.
- Run human-AI interaction studies
- Serve product research teams
- Publish applied findings
Comparison guides
Compare the next move before you commit
12-24 months
Psychology Teachers, Postsecondary to Department Chair
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Psychology Teachers, Postsecondary into Department Chair.
6-12 months
Psychology Teachers, Postsecondary to Behavioral Research Scientist
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Psychology Teachers, Postsecondary into Behavioral Research Scientist.
What the AI risk score means for Psychology Teachers, Postsecondary
The displacement pressure score for Psychology 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 30% automation pressure, while Prepare and deliver psychology lectures 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: $80,340 (May 2025, US national). Employment context: Faculty role with a research-methods anchor. 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
- Behavioral-AI research demand grows
- Methods teaching gains value
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Psychology 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.
Psychology 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.
Research methods
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.
Statistical analysis
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.
Graduate mentoring
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 methods curriculum.
- By 90 days, compare internal openings and external postings for Department Chair or Behavioral Research Scientist and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Psychology Teachers, Postsecondary
Will AI replace Psychology Teachers, Postsecondary?
Psychology faculty teach abnormal psychology and cognitive processes while running research programs on human behavior, including how humans interact with AI. Statistical tooling automates analysis, but study design, research ethics, and methods training are the discipline's defensible core. 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 Psychology Teachers, Postsecondary work are most exposed to AI?
Evaluate and grade student work and Prepare and deliver psychology lectures show the strongest automation pressure in this model. Prepare and deliver psychology lectures and Conduct research and publish findings are better treated as AI-augmented work.
What should Psychology Teachers, Postsecondary learn next?
Start with Psychology instruction, Research methods, Statistical analysis. The most practical adjacent paths in this model are Department Chair and Behavioral Research Scientist.
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