Mapping 0 course categories across 0 subjects to AI scores. Area = number of courses (a proxy for demand). Color = AI teachability (blue → low, green → balanced, red → high). Based on Class Central taxonomy and scoring approach inspired by karpathy/jobs.
AI Teachability (0-10) — How much can AI assist and enhance the learning experience for this subject? Higher scores mean AI tools can effectively support most of the curriculum; lower scores mean learning relies on hands-on practice or human mentorship.
AI Exposure (0-10) — How much will AI reshape the careers this subject leads to? Higher scores mean AI is significantly augmenting productivity in digital-heavy roles; lower scores mean the work involves physical presence or interpersonal skills where AI has limited impact.
Combined Risk (0-10) — Average of Teachability and Exposure. A high score indicates both the career landscape and the educational approach are being actively reshaped by AI.