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Supply Chain Managers

O*NET SOC 11-3071.049 tasks studied
78%

of tasks in the Supply Chain Managers role are ones AI can already do, per AI experts.

78% AI can do today67% workers want automated9 tasks rated

From a Stanford study where AI experts and supply chain 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 78% of the 9 work tasks in the Supply Chain Managers role, according to AI experts in the Stanford WORKBank study (O*NET SOC 11-3071.04).
  • Workers in the Supply Chain Managers role want about 67% of their tasks automated (Stanford WORKBank, 1,500 U.S. workers).
  • 5 of 9 Supply Chain Managers tasks are Automation Green Light, wanted by workers and do-able by AI, that is 56% of the role (Stanford WORKBank).
  • The typical Supply Chain Managers task scores 3.3/5 for worker desire to automate and 3.72/5 for AI capability today (Stanford WORKBank, 1-5 scale).

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What workers told Stanford

Of the 9 tasks studied for Supply Chain Managers, 5 (56%) are in the Automation Green Light zone, AI can largely do them and workers want it. Across all tasks, workers want about 67% automated. The typical task scores 3.3/5 for worker desire and 3.72/5 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 78% for Supply Chain Managers (Stanford WORKBank).