Tasks

Making Decisions and Solving Problems

How making decisions and solving problems are reshaped as AGI capability advances.

TasksMaking Decisions and Solving Problems
Making Decisions and Solving Problems — illustrated

The bottom line

About 59% of the work in Making Decisions and Solving Problems is information-shaped and increasingly AI-deliverable, with the rest a hybrid of judgment and hands-on work. The automation frontier runs straight through the middle of this role.

Why: The reverse grounding distribution yields a weight-weighted mean of 0.59, cleanly split across 6 hybrid, 6 digital, and 1 physical occupations. Top-ranked roles reflect this diverse mix, spanning hybrid medical professionals like Emergency Medicine Physicians (0.50), digital knowledge workers like Chief Executives (0.85), and physical roles like Hand Grinding and Polishing Workers (0.05), placing this cognitive task firmly in the hybrid band.

grounded in the economy graph · digital scalar 0.59 · hybrid

The problems this exposes

Node-intrinsic problems read straight off the graph (exposesProblem) — the evergreen wedges a builder could take into this space.

+12 more problems on the graph

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Problems

  • Delayed Context Aggregationops
  • Blind Resource Allocationcapital
  • Inaccurate Scenario Modelingcompetitive
  • Slow Incident Triageretention
  • Vendor Evaluation Bottleneckssupply-chain
  • Diagnostic Expertise Attritiontalent
  • Non-Compliant Interventionscompliance

Opportunities

  • Decision Intelligence AgentAgent
  • Headless Scenario EngineHeadless SaaS
  • AI Incident CommanderAgent
  • Procurement as a ServiceService-as-Software
  • Diagnostic Resolution ServiceService-as-Software
  • Resource Allocation APIHeadless SaaS