As of August 2026,
Curriculum Developer has an AI-exposure score of 55/100
(Elevated exposure) on the AI-Safe Careers index. This is an estimate of task
exposure, not a prediction of job loss.
Score inputs for this role:
AI-Safe Careers curated modeled estimate. This curated role has no matched O*NET SOC or empirical occupation signal. Treat it as a lower-confidence directional estimate. BLS labor-market figures are separate context, not score inputs.
Curriculum Developer
More exposed than 46% of the roles we track. Median pay ~US$72,000.
Pay & demand figures are US medians (in USD; curated approximation (not refreshed from BLS; 2022–32 framing)) - your local figures will differ. Your exposure score applies broadly.
Will AI replace Curriculum Developer?
No exposure score can predict whether AI will replace this role. The 55/100 score means our current model estimates elevated task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.
Early-career context (study ages 22-25)
This role is in the Elevated exposure band, but its assessed task mix is not automation-heavy. The study found the decline concentrated where AI was more likely to automate rather than augment work, so the headline figure should not be applied directly.
The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.
Use the task map to identify durable work and the skills worth building early.
Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision
This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.
How this role compares to similar Education roles
What this role usually involves
Develop instructional material, coordinate educational content, and incorporate current technology into instruction in order to provide guidelines to educators and instructors for developing curricula and conducting courses. May train and coach teachers. Includes educational consultants and specialists, and instructional material directors.
Broad guidance for this preparation level; exact requirements vary by role and employer.
Source: O*NET 29.1 closest reviewed source - Instructional Coordinators, SOC 25-9031.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.
Curriculum Developer tasks, by AI exposure
O*NET reports Curriculum Developer under Instructional Coordinators. The reviewed subset centers curriculum research, learning objectives, instructional materials, assessment, course documentation, and delivery design; school administration and purchasing duties are excluded. How we map tasks →
- Design courses and assessments
- Edit and structure content
- Align to standards
- Recommend changes to curricula or delivery methods, based on information such as instructional effectiveness data, current or future performance requirements, feasibility, and costs. O*NET: Instructional Coordinators
- Partner with educators
- Edit instructional materials, such as books, simulation exercises, lesson plans, instructor guides, and tests. O*NET: Instructional Coordinators
We analyzed all 24 Curriculum Developer tasks - 2 automatable, 2 augmentable and 20 durable. The full task map - every task with exactly what to do about each - is in your Career Report.
Your report unlocks three concrete artifacts
Every task scored with what to automate, augment, or protect.
Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.
A keepable roadmap plus resume and LinkedIn repositioning.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.
Adjacent career paths
No evidence-backed lower-exposure match appears in this O*NET adjacency set. The adjacent paths below remain useful comparisons; the strongest resilience moves are task-level.
Design courses and assessments
Your AI-Safe Career Report
Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.
Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026
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