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Driver

Based on 10 assessments · 1 from real users

29% Moderate risk

Average realistic automation risk across all Driver profiles in the dataset.

Raw potential
45%
Realistic risk
29%
Research benchmark ?
17%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 10 profiles. Middle half of Drivers score between 25% and 34%.

0% 50% 100%
p10 · 19%
35% · p90
On-screen work 18%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 38%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 32%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 12%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Driver, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Operating vehicle controls (steering, acceleration, braking, gear changes) in response to road conditions
deep expertise
39% DA 19%
Monitoring traffic, pedestrians, road signs, and anticipating hazards ahead
deep expertise
31% AD 21%
Communicating with dispatch, customers, or recipients about delays, locations, or delivery issues
deep expertise
24% AD 14%
Loading, unloading, or securing cargo; checking vehicle contents match delivery manifest
2% AA 10%
Navigating routes, reading maps, following GPS directions, and making turn decisions
1% DD 89%
Vehicle maintenance checks (fuel, tire pressure, lights, wipers, fluid levels)
1% AD 32%
Recording trip data, mileage logs, fuel purchases, or incident reports
1% DD 94%

Work as a Driver? Map your specific role.

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