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Appraisers and Assessors of Real Estate

O*NET SOC 13-2023.0012 tasks studied
25%

of tasks in the Appraisers and Assessors of Real Estate role are ones AI can already do, per AI experts.

25% AI can do today75% workers want automated12 tasks rated

From a Stanford study where AI experts and appraisers and assessors of real estate 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 25% of the 12 work tasks in the Appraisers and Assessors of Real Estate role, according to AI experts in the Stanford WORKBank study (O*NET SOC 13-2023.00).
  • Workers in the Appraisers and Assessors of Real Estate role want about 75% of their tasks automated (Stanford WORKBank, 1,500 U.S. workers).
  • 2 of 12 Appraisers and Assessors of Real Estate tasks are Automation Green Light, wanted by workers and do-able by AI, that is 17% of the role (Stanford WORKBank).
  • The typical Appraisers and Assessors of Real Estate task scores 3.28/5 for worker desire to automate and 3.05/5 for AI capability today (Stanford WORKBank, 1-5 scale).

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What workers told Stanford

Of the 12 tasks studied for Appraisers and Assessors of Real Estate, 2 (17%) are in the Automation Green Light zone, AI can largely do them and workers want it. Across all tasks, workers want about 75% automated. The typical task scores 3.28/5 for worker desire and 3.05/5 for AI capability.

All 12 tasks, most-wanted first

Related occupations

Other Business and Financial Operations 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 25% for Appraisers and Assessors of Real Estate (Stanford WORKBank).