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Comparison · dataset August 2026

Instructional Designer vs School Counselor: which is more exposed to AI?

48 points apart. These are not comparable risk profiles.

Instructional Designer sits at 70% time-weighted AI exposure against 22% for School Counselor, a 48-point gap driven by the 44% of instructional designer work time that current models can already substitute outright. School Counselor holds a larger human-critical core — 66% of the role's time sits in work like "respond to student crises" that models score poorly on. Both roles sit inside Education, so the exposure difference reflects task design rather than a change of field.

48PP GAP

Seven dimensions, side by side.

METRICINSTRUCTIONAL DESIGNERSCHOOL COUNSELORDELTA
AI exposure70%22%48pp gap
Resilience score46/10082/10036pt gap
Substitutable work time44%15%Fully automatable today
Human-critical work time26%66%Models score poorly here
Median salary$74k$62k$12k apart
10-year growth7%4%Instructional Designer
US workforce190k330kBLS OEWS
Task level

What actually creates the gap.

Instructional Designers spend 44% of their time-weighted week on tasks a current model can produce end-to-end, against 15% for School Counselors. The single largest contributor is "draft course content and scripts", graded at 90% and worth 16% of the role's time. That one task accounts for more of the gap than any difference in seniority, tooling, or industry.

Instructional Designer
MOST EXPOSED TASKS
  • Draft course content and scripts90% · 16% time
  • Generate quizzes and assessments88% · 10% time
  • Produce slide decks and job aids84% · 8% time
  • Storyboard e-learning modules82% · 10% time
HUMAN-CRITICAL CORE
  • Facilitate pilots and workshops18% · 5% time
  • Consult with stakeholders on needs22% · 8% time
  • Design learning strategy for outcomes28% · 10% time
School Counselor
MOST EXPOSED TASKS
  • Build class schedules80% · 6% time
  • Maintain student records76% · 4% time
  • Draft recommendation letters74% · 5% time
HUMAN-CRITICAL CORE
  • Respond to student crises5% · 14% time
  • Counsel students one-on-one8% · 26% time
  • Mediate conflicts and bullying cases10% · 10% time
What transfers

Both roles lean on judgement — that is the part of your experience that travels intact. The real divide is social: School Counselors score 94 there against 52 for Instructional Designers, a 42-point spread. That is the gap you would actually have to close.

DIMENSIONINSTRUCTIONAL DESIGNERSCHOOL COUNSELOR
Social5294
Creative6026
Procedural7444
Switching between them
ModerateDIFFICULTY

Neither role lists the other as a mapped adjacent career. With 28 points of average separation across capability dimensions, a move is realistic but not free: expect to deliberately rebuild the dimensions listed above rather than assume they carry.

Score your own exposure in 8 questions →

Common questions.

Is Instructional Designer or School Counselor more at risk from AI?

Instructional Designer. It scores 70% time-weighted AI exposure against 22% for School Counselor — a 48-point gap. 44% of instructional designer work time is already fully substitutable by current models, versus 15% for School Counselors.

Which pays more, Instructional Designer or School Counselor?

Instructional Designer, by roughly $12k at the median ($74k versus $62k). Note that the higher-paying role here is also the more AI-exposed one, which matters if you are weighing pay against durability.

Can a instructional designer switch to being a school counselor?

Neither role lists the other as a mapped adjacent career. With 28 points of average separation across capability dimensions, a move is realistic but not free: expect to deliberately rebuild the dimensions listed above rather than assume they carry.

Which role is growing faster, Instructional Designer or School Counselor?

Instructional Designer, at 7% projected ten-year growth versus 4% — a 3-point difference. Growth and AI exposure are separate signals: a role can grow in headcount while the content of the work is substantially rewritten.

Career families
Education
Methodology
Scores are time-weighted across each role's canonical O*NET tasks, graded against current frontier-model capability. How we score.