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Quality Control Systems Managers

O*NET SOC 11-3051.019 tasks studied
67%

of tasks in the Quality Control Systems Managers role are ones AI can already do, per AI experts.

67% AI can do today56% workers want automated9 tasks rated

From a Stanford study where AI experts and quality control systems managers 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 9 work tasks in the Quality Control Systems Managers role, according to AI experts in the Stanford WORKBank study (O*NET SOC 11-3051.01).
  • Workers in the Quality Control Systems Managers role want about 56% of their tasks automated (Stanford WORKBank, 1,500 U.S. workers).
  • 4 of 9 Quality Control Systems Managers tasks are Automation Green Light, wanted by workers and do-able by AI, that is 44% of the role (Stanford WORKBank).
  • The typical Quality Control Systems Managers task scores 3.14/5 for worker desire to automate and 4/5 for AI capability today (Stanford WORKBank, 1-5 scale).

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What workers told Stanford

Of the 9 tasks studied for Quality Control Systems Managers, 4 (44%) are in the Automation Green Light zone, AI can largely do them and workers want it. Across all tasks, workers want about 56% automated. The typical task scores 3.14/5 for worker desire and 4/5 for AI capability.

All 9 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 Quality Control Systems Managers (Stanford WORKBank).