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AI Job Checker

Educational Instruction And Library Workers All Other

Education

AI Impact Likelihood

AI impact likelihood: 68% - High Risk
68/100
High Risk

SOC 25-9099 represents a heterogeneous residual category of educational and library workers whose functions sit at the intersection of information provision, instructional support, and administrative coordination — precisely the task cluster where AI systems have achieved the most transformative capability gains between 2023 and 2026. AI tutoring platforms (Khan Academy Khanmigo, Carnegie Learning, Synthesis) now deliver adaptive, personalized instruction at scale across multiple subjects. LLMs generate lesson plans, curricula, assessments, and instructional materials faster and cheaper than any human worker. RAG-powered search and reference systems have effectively automated the core reference librarian function of answering factual and research queries. The Anthropic Economic Index (January 2025) identifies education support occupations — particularly those focused on information delivery, content creation, and reference services — as having exposure rates above 60% for AI augmentation or direct task automation. The ILO AI Exposure Index similarly flags educational support roles as high-exposure, with particular vulnerability in tasks involving information synthesis, document processing, and structured instructional delivery.

The 'All Other' catch-all structure of SOC 25-9099 means incumbents are disproportionately concentrated in the exact tasks — information provision, content creation, basic tutoring — where AI capability has advanced most rapidly, leaving them without the institutional protections or credentialing barriers that shield mainstream teaching roles.

The Verdict

Changes First

Information retrieval, reference services, and curriculum/content development are already being displaced by LLM-powered AI tutors, RAG search systems, and generative content tools — the core knowledge-provision tasks of this catch-all category face near-term disruption within 1–2 years.

Stays Human

High-touch facilitation of learners with complex needs — particularly adult literacy, special populations, and community-embedded education — retains human necessity due to motivational accountability, trust relationships, and institutional navigation that AI cannot replicate.

Next Move

Workers in this category must urgently reposition away from content delivery and information provision toward roles requiring relational depth, complex needs assessment, and program design that integrates AI tools rather than competes with them.

Most Exposed Tasks

TaskWeightAI LikelihoodContribution
Curriculum and Instructional Content Development20%82%16.4
Direct Instruction and Tutoring22%73%16.1
Information Reference and Research Assistance15%88%13.2

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

Key Risk Factors

AI Tutoring Platform Direct Displacement

#1

A wave of well-funded, pedagogically sophisticated AI tutoring platforms has crossed a capability threshold where they can substitute for human instructors across most routine instructional scenarios. Khan Academy's Khanmigo, available to all U.S. teachers and students, delivers Socratic tutoring with feedback loops, hint systems, and learning analytics. Carnegie Learning's MATHia, deployed in thousands of schools, uses 25 years of cognitive model research to deliver personalized math instruction. Synthesis, now a consumer product, has demonstrated learning outcomes in problem-solving that compare favorably to traditional instruction. The marginal cost of an AI tutoring session is approaching zero, while human tutors cost $40-150/hour.

LLM-Driven Curriculum and Content Generation

#2

The curriculum and instructional content development market has been structurally disrupted by LLMs capable of generating complete, standards-aligned educational materials in seconds. MagicSchool AI reported over 3 million educator users within its first year; Diffit generates differentiated text materials at multiple reading levels from any source; Curipod creates interactive lessons; and generic ChatGPT and Claude usage for curriculum drafting is pervasive among educators. The task that previously justified hiring curriculum developers, instructional designers, and content specialists — building lesson plans, assessments, and instructional sequences from scratch — is now routinely performed by individual teachers using free or low-cost AI tools, eliminating the institutional need for dedicated specialist staff.

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

Recommended Course

AI For Everyone

Coursera

Builds foundational AI literacy so you can oversee, evaluate, and critically assess AI tutoring and content tools rather than being replaced by them.

+7 more recommendations in the full report.

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

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Essential Report

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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

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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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Educational Instruction And Library Workers All Other - AI Impact Analysis | AI Job Checker