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Education
Learning Designer
Based on 11 assessments · 2 from real users
34%
Moderate risk
Average realistic automation risk across all Learning Designer profiles in the dataset.
Score spread
Distribution across 11 profiles.
Middle half of Learning Designers score between 32% and 37%.
0%
50%
100%
Task breakdown by work type
Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.
Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.
Computer input, real-world output — needs someone to act on it, not just software.
No computer required. Furthest from automation — the strongest human advantage.
Typical tasks
3 synthetic profiles for a Learning Designer, ordered by automation exposure.
Tab between them to see how task mix drives the score difference.
Collaborating with subject matter experts, instructors, and stakeholders to refine content and validate accuracy
some context needed
social core
26%
AD
15%
Analyzing learner needs and business goals through interviews, surveys, and data review to define learning objectives
deep expertise
social core
20%
AD
8%
Writing or scripting learning content (instructional text, scenarios, case studies, dialogue for video)
deep expertise
social element
16%
DD
34%
Testing, reviewing, and iterating on prototypes or pilot programs based on feedback and performance data
deep expertise
social element
13%
AD
20%
Creating learning materials and assets (storyboards, slide decks, interactive mockups, assessment blueprints)
deep expertise
10%
DD
35%
Selecting and configuring learning platforms, tools, and integrations (LMS setup, content hosting, tracking)
8%
DD
52%
Designing course structure, learning pathways, and content architecture (outlining modules, lessons, assessments)
deep expertise
social element
3%
DD
31%
Designing course structure, learning pathways, and content architecture (outlining modules, lessons, assessments)
deep expertise
social element
24%
DD
33%
Testing, reviewing, and iterating on prototypes or pilot programs based on feedback and performance data
deep expertise
social element
20%
AD
13%
Writing or scripting learning content (instructional text, scenarios, case studies, dialogue for video)
deep expertise
social element
18%
DD
29%
Analyzing learner needs and business goals through interviews, surveys, and data review to define learning objectives
deep expertise
social core
15%
AD
7%
Selecting and configuring learning platforms, tools, and integrations (LMS setup, content hosting, tracking)
13%
DD
90%
Creating learning materials and assets (storyboards, slide decks, interactive mockups, assessment blueprints)
6%
DD
61%
Collaborating with subject matter experts, instructors, and stakeholders to refine content and validate accuracy
some context needed
social core
1%
AD
22%
Creating learning materials and assets (storyboards, slide decks, interactive mockups, assessment blueprints)
20%
DD
59%
Selecting and configuring learning platforms, tools, and integrations (LMS setup, content hosting, tracking)
20%
DD
86%
Designing course structure, learning pathways, and content architecture (outlining modules, lessons, assessments)
18%
DD
50%
Writing or scripting learning content (instructional text, scenarios, case studies, dialogue for video)
deep expertise
social element
15%
DD
27%
Collaborating with subject matter experts, instructors, and stakeholders to refine content and validate accuracy
social core
14%
AD
23%
Testing, reviewing, and iterating on prototypes or pilot programs based on feedback and performance data
deep expertise
social element
10%
AD
13%
Analyzing learner needs and business goals through interviews, surveys, and data review to define learning objectives
deep expertise
social core
1%
AD
12%
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