Tasks

Getting Information

How getting information are reshaped as AGI capability advances.

TasksGetting Information
Getting Information — illustrated

The bottom line

Roughly 71% of the work in Getting Information 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 distribution summary for this work activity indicates a weight-weighted mean of 0.71, with 5 digital, 3 hybrid, and 0 physical roles among known scalars. The top occupations heavily engaging in this task include pure knowledge workers like Economists (0.95) and Judicial Law Clerks (0.85), alongside hybrid medical roles like Emergency Medicine Physicians (0.50) and Neurologists, demonstrating an information-gathering process that lands just inside the digital band.

grounded in the economy graph · digital scalar 0.71 · digital

The problems this exposes

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

+4 more problems on the graph

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Problems

  • Harvest Buyer Intent Datademand-gen
  • Capture Account Churn Indicatorsretention
  • Track Competitor Pricing Signalscompetitive
  • Monitor Regulatory Policy Changescompliance
  • Gather Supplier Risk Telemetrysupply-chain
  • Extract Unstructured Document Payloadsops
  • Aggregate Market Compensation Ratestalent

Opportunities

  • Automated Document ParsingHeadless SaaS
  • Regulatory Intelligence AgentAgent
  • Vendor Risk AuditingService-as-Software
  • Intent Signal AggregatorHeadless SaaS
  • Churn Prediction TriageService-as-Software
  • Competitor Pricing AgentAgent