EXPOSURE TO AI
16%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
2%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Certified irreplaceable. For now, gloriously human.
16% 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. Certified hard to automate. Today’s AI barely touches the core of this one.
WHAT AI CAN ALREADY DO
- Record production information such as fabric yardage processed, temperature readings, fabric tensions, and machine speeds
- Study guides, charts, and specification sheets, and confer with supervisors to determine machine setup requirements
- Key in processing instructions to program electronic equipment
- Examine and feel products to identify defects and variations from coloring and other processing standards
WHAT IT STILL CAN’T
- Add dyes, water, detergents, or chemicals to tanks to dilute or strengthen solutions, according to established formulas and solution test results
- Adjust equipment controls to maintain specified heat, tension, and speed
- Observe display screens, control panels, equipment, and cloth entering or exiting processes to determine if equipment is operating correctly
- Prepare dyeing machines for production runs, and conduct test runs of machines to ensure their proper operation
- Monitor factors such as temperatures and dye flow rates to ensure that they are within specified ranges
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 16% 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