Real Estate Appraisers

With an automation risk score of 40%, Real Estate Appraisers faces a moderate level of AI-driven change. Some tasks can be automated, but many require human judgment, creativity, or interpersonal skills that AI cannot yet replicate. The role is more likely to evolve alongside AI than be replaced.

Our estimated AI automation risk score for Real Estate Appraisers is 40% for 2025. Estimated overall AI exposure is 49%, with 64% theoretical exposure and 27% observed exposure. The estimated risk trend from 2023 to 2025 is +10 points. All of these are model-generated estimates, not measurements.

The tasks with the highest automation potential for Real Estate Appraisers are: Analyze comparable property sales (72%), Prepare appraisal reports (65%), Assess local market conditions (58%). These rates are our own estimates of how much of each task current AI systems can handle. They are not measurements and are not taken from any external dataset.

We estimate a -5% employment change for Real Estate Appraisers between 2024 and 2034. This is our own estimate, not a figure published by the U.S. Bureau of Labor Statistics. Combined with an estimated overall AI exposure of 49%, this occupation faces both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily augments capabilities in this role, professionals in Real Estate Appraisers should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.