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AI Job Checker

Postsecondary Teachers All Other

Education

AI Impact Likelihood

AI impact likelihood: 62% - High Risk
62/100
High Risk

The 'All Other' postsecondary teacher category (SOC 25-1199.00) faces a structurally severe displacement trajectory. Unlike core-discipline faculty with established research mandates or professional licensure pipelines, this catch-all category includes instructors whose primary value proposition — content delivery and assessment — is precisely what large language models and AI tutoring systems are dismantling. Platforms such as Khan Academy's AI tutor, Coursera's AI-assisted grading, and institutional deployments of GPT-class models for curriculum generation are not speculative; they are operational and expanding. The pedagogical value of a live lecture is being actively re-examined by university administrators under cost pressure, and AI provides a plausible cost-reduction narrative. Task-level analysis reveals that the majority of time allocations for this occupation — material preparation, grading, content explanation, and quiz/exam design — carry automation likelihoods above 70%. These are not peripheral tasks; they constitute the bulk of working hours. The Anthropic Economic Index (Jan 2025) places education instruction tasks in the top quartile of AI augmentation-to-displacement trajectory, and the ILO AI Exposure Index flags postsecondary education as having high routine-cognitive density amenable to AI substitution.

Postsecondary teachers in non-core specialty categories face compounding displacement pressure: AI handles both content generation and assessment while online platforms enable massive scale without proportional headcount, threatening the institutional justification for this job category's existence entirely.

The Verdict

Changes First

Content creation, grading, and course material preparation are already being displaced by generative AI, with AI tutoring systems eroding the instructional monopoly postsecondary teachers have historically held. Administrative and assessment tasks will be substantially automated within 2-3 years.

Stays Human

High-stakes mentorship, personalized career advising, and complex facilitation of live academic discourse retain meaningful human value — but only where the institution actively demands and funds those interactions rather than substituting with AI-mediated delivery.

Next Move

Shift professional identity from content deliverer to learning architect and mentor, developing domain expertise that AI cannot replicate through synthesis alone — particularly in applied, experiential, or field-specific judgment contexts.

Most Exposed Tasks

TaskWeightAI LikelihoodContribution
Lecturing and Direct Content Instruction28%65%18.2
Developing and Updating Course Materials, Syllabi, and Readings18%82%14.8
Grading Assignments, Exams, and Providing Written Feedback16%78%12.5

Contribution = weight × automation likelihood. Full task breakdown in the Essential report.

Key Risk Factors

AI Tutoring Systems Eroding Core Instructional Value

#1

Production AI tutoring systems are now deployed at institutional scale: Khan Academy's Khanmigo serves millions of K-12 and college students with GPT-4-powered Socratic tutoring; Arizona State University, Georgia Tech, and UC San Diego have all deployed institutional LLM tutoring assistants; Coursera's Coach and edX's AI tools provide on-demand subject-matter assistance across hundreds of courses. These systems operate 24/7, adapt to individual student misconceptions in real time, and deliver explanatory quality that matches or exceeds the median instructor in introductory courses. The marginal cost of AI tutoring per additional student interaction rounds to zero, compared to the fixed and variable costs of instructor office hours and live sessions.

Administrative Cost Pressure Driving AI-Mediated Course Delivery

#2

University CFOs and provosts are under acute financial pressure: Moody's downgraded the higher education sector outlook in 2023, enrollment declines continue at regional and non-elite institutions, and state appropriations are flat or declining in real terms. AI-mediated course delivery is being framed in administrative discourse not as a pedagogical experiment but as a budget necessity. Institutions including SUNY, CSU system campuses, and multiple for-profit and online universities have publicly piloted or implemented AI-mediated asynchronous delivery with explicit goals of reducing per-course instructional labor costs. Adjunct and non-tenure-track faculty — the category that constitutes the majority of 'All Other' postsecondary teachers — have no tenure protection and can be non-renewed without cause at semester's end.

Full analysis with experiments and mitigations available in the Essential report.

Recommended Course

Learning Experience Design

LinkedIn Learning

Builds high-value instructional design expertise that repositions the instructor as an architect of learning environments rather than a content deliverer — a role AI cannot fully replace.

+7 more recommendations in the full report.

Frequently Asked Questions

Will AI replace Postsecondary Teachers All Other?

With a 62/100 High Risk score, full replacement is unlikely but significant displacement is projected. Tasks like curriculum design (82%) and grading (78%) face near-term automation, while mentorship (35%) remains human-led.

Which tasks for Postsecondary Teachers All Other are most at risk from AI automation?

Developing course materials (82%) and designing assessments (80%) face the highest risk within 1-2 years. Grading and admin tasks (70-78%) follow closely, driven by tools like Turnitin's AI suite and Canvas-integrated LLMs.

What is the timeline for AI automation affecting Postsecondary Teachers All Other?

Curriculum and assessment design face disruption within 1-2 years. Grading and administration follow in 1-3 years. Academic advising and research (35-48%) are more resilient, with a 3-6 year horizon.

What can Postsecondary Teachers All Other do to reduce their AI displacement risk?

Focus on low-automation tasks: academic advising (35%), Socratic facilitation (42%), and research (48%). These human-centered functions resist replacement by AI tutoring systems like Khanmigo or scalable MOOC platforms.

Go deeper

Essential Report

Diagnosis

Understand exactly where your risk is and what to do about it in 30 days.

  • +Full task exposure table with AI Can Do / Still Human analysis
  • +All risk factors with experiments and mitigations
  • +Current job mitigations — skill gaps, leverage moves, portfolio projects
  • +1 adjacent role comparison
  • +Full course recommendations with quick-start picks
  • +30-day action plan (week-by-week)
  • +Watchlist signals with severity and timeline

Complete Report

Strategy

Design your next 90 days and your option set. Not more pages — more clarity.

  • +2x2 Automation Map — every task plotted by automation risk vs. differentiation
  • +Strategic cards — best leverage move and biggest trap
  • +3 adjacent roles with task deltas and bridge skills
  • +Learning roadmap — 6-month course sequence tied to risk factors
  • +90-day action plan with monthly milestones
  • +Personalise Your Assessment — 4 dimensions, 72 combinations
  • +If-this-then-that playbooks for career-critical moments

Unlock your full analysis

Choose the depth that's right for you for Postsecondary Teachers All Other.

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Essential Report

$9.99$6.99

Full task breakdown + 1 adjacent role

  • Task-by-task score breakdown
  • Risk factors with timelines
  • Skill gaps + leverage moves
  • Courses + 30-day action plan
  • Watch signals
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Complete Report

$14.99$10.49

Deep analysis + 3 adjacent roles + strategy

  • Everything in Essential
  • Automation map (likelihood vs. differentiation)
  • Deep evidence per task & risk factor
  • 3 adjacent roles with bridge skills
  • If-this-then-that playbooks
  • 3-month learning roadmap
  • Interactive personalisation matrix

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