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EXPOSURE TO AI
39%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
18%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
A co-pilot is coming for the busywork, not the wheel.

39% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. In the blast radius. A real slice of the work is already automatable. The rest isn’t.

WHAT AI CAN ALREADY DO
  • Prepare and maintain records and reports, such as budgets, personnel records, or training manuals
  • Establish and oversee administrative procedures to meet objectives set by boards of directors or senior management
  • Participate in the determination of organizational policies regarding such issues as participant eligibility, program requirements, and program benefits
  • Research and analyze member or community needs to determine program directions and goals
  • Implement and evaluate staff, volunteer, or community training programs
WHAT IT STILL CAN’T
  • Direct activities of professional and technical staff members and volunteers
  • Provide direct service and support to individuals or clients, such as handling a referral for child advocacy issues, conducting a needs evaluation, or resolving complaints
  • Establish and maintain relationships with other agencies and organizations in community to meet community needs and to ensure that services are not duplicated
  • Speak to community groups to explain and interpret agency purposes, programs, and policies
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY)  | how this is calculated  | last updated 2026-07-16