How r1 experimental psychology professor are reshaped as AGI capability advances.

Roughly 75% of the work in R1 Experimental Psychology Professor is information-shaped — already within reach of AI delivery. The question here is not whether it shifts, but which tasks go first and who staffs the residual.
Why: The scalar is derived from the parent occupation 'Psychology Teachers, Postsecondary' and its core work activities. High-importance tasks like 'Interpreting the Meaning of Information for Others' (4.87) and 'Updating and Using Relevant Knowledge' (4.45) indicate strong information-transformation work, while 'Training and Teaching Others' (4.95) adds an interpersonal dimension, placing this research-and-teaching role in the lower digital band.
grounded in the economy graph · digital scalar 0.75 · digital
The software here going agent-consumable — where the API, not the UI, becomes the way the work gets done.
R1 Experimental Psychology Professor relies on 5 products. The headless dimension of each — whether an agent can call it without a screen — is what decides how much of this work goes hands-free.
The software R1 Experimental Psychology Professor reaches for already exposes 6 agent-callable actions (via uses → exposedBy) — typed surfaces an agent invokes directly, no human screen in the loop. The work routes to the API, not the UI.
Node-intrinsic problems read straight off the graph (exposesProblem) — the evergreen wedges a builder could take into this space.
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