EXPOSURE TO AI
8%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Certified irreplaceable. For now, gloriously human.
8% 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 quantities of materials processed
- Examine and measure finished articles to verify conformance to standards, using rulers
- Inspect garments, and examine repair tags and markings on garments to locate defects or damage, and mark errors as necessary
WHAT IT STILL CAN’T
- Monitor machine operation to detect problems such as defective stitching, breaks in thread, or machine malfunctions
- Place spools of thread, cord, or other materials on spindles, insert bobbins, and thread ends through machine guides and components
- Position items under needles, using marks on machines, clamps, templates, or cloth as guides
- Guide garments or garment parts under machine needles and presser feet to sew parts together
- Remove holding devices and finished items from machines
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 8% 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