EXPOSURE TO AI
9%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The last desk the machine reaches. Breathe.
9% 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
- Prepare cost and labor estimates, based on calculations of time and materials needed for project
- Determine and implement the best layout to achieve a desired pattern
- Measure and mark surfaces to be tiled, following blueprints
- Study blueprints and examine surface to be covered to determine amount of material needed
WHAT IT STILL CAN’T
- Cut and shape tile to fit around obstacles and into odd spaces and corners, using hand and power cutting tools
- Lay and set mosaic tiles to create decorative wall, mural, and floor designs
- Align and straighten tile using levels, squares, and straightedges
- Finish and dress the joints and wipe excess grout from between tiles, using damp sponge
- Cut, surface, polish, and install marble and granite or install pre-cast terrazzo, granite or marble units
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 9% 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