EXPOSURE TO AI
39%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
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
- Keep records and prepare reports detailing findings, investigative methods, and laboratory techniques
- Use photographic or video equipment to document evidence or crime scenes
- Reconstruct crime scenes to determine relationships among pieces of evidence
- Testify in court about investigative or analytical methods or findings
- Visit morgues, examine scenes of crimes, or contact other sources to obtain evidence or information to be used in investigations
WHAT IT STILL CAN’T
- Collect evidence from crime scenes, storing it in conditions that preserve its integrity
- Operate and maintain laboratory equipment and apparatus
- Prepare solutions, reagents, or sample formulations needed for laboratory work
- Train new technicians or other personnel on forensic science techniques
- Identify and quantify drugs or poisons found in biological fluids or tissues, in foods, or at crime scenes
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.
"My job is 39% cooked. What’s yours?"
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