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Treasurers and Controllers

O*NET SOC 11-3031.016 tasks studied
67%

of tasks in the Treasurers and Controllers role are ones AI can already do, per AI experts.

67% AI can do today33% workers want automated6 tasks rated

From a Stanford study where AI experts and treasurers and controllers workers rated each real task (O*NET). Not a guess from the job title.

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Key statistics

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  • AI can already do 67% of the 6 work tasks in the Treasurers and Controllers role, according to AI experts in the Stanford WORKBank study (O*NET SOC 11-3031.01).
  • Workers in the Treasurers and Controllers role want about 33% of their tasks automated (Stanford WORKBank, 1,500 U.S. workers).
  • 2 of 6 Treasurers and Controllers tasks are Automation Green Light, wanted by workers and do-able by AI, that is 33% of the role (Stanford WORKBank).
  • The typical Treasurers and Controllers task scores 2.52/5 for worker desire to automate and 3.7/5 for AI capability today (Stanford WORKBank, 1-5 scale).

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What workers told Stanford

Of the 6 tasks studied for Treasurers and Controllers, 2 (33%) are in the Automation Green Light zone, AI can largely do them and workers want it. Across all tasks, workers want about 33% automated. The typical task scores 2.52/5 for worker desire and 3.7/5 for AI capability.

All 6 tasks, most-wanted first

Related occupations

Other Management roles in the Stanford WORKBank study, closest AI-capability share first.

Lower-automation alternatives

Less of these jobs is automatable today: AI experts rate a smaller share of their tasks as doable than the 67% for Treasurers and Controllers (Stanford WORKBank).