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Cost Estimators

Business & Financial Operationshighmixed
BLS 2024-34: -4%
Median Wage: $72,000
Employment: 200K

Overall Exposure

56+20

2025 vs 2023

Theoretical Exposure

68

What AI could do

Observed Exposure

34

What AI actually does

Automation Risk Score

46

Displacement risk

3-Year Outlook (2025 โ†’ 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

56โ†’74
+18

2025 โ†’ 2028 (estimated)

Theoretical Exposure

68โ†’85
+17

2025 โ†’ 2028 (estimated)

Observed Exposure

34โ†’50
+16

2025 โ†’ 2028 (estimated)

Automation Risk

46โ†’62
+16

2025 โ†’ 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
202336481828actual
202445572536actual
202556683446actual
202663744052estimated
202769804557estimated
202874855062estimated

Task Breakdown

Analyze blueprints and specifications for cost calculations
82%ฮฒ 1
Compile and compare material and labor cost data
88%ฮฒ 1
Consult with clients and contractors on project scope
25%ฮฒ 0.5
Prepare detailed bid documents and proposals
70%ฮฒ 1

About This Occupation

If you work as a Cost Estimator, AI is reshaping your profession. With an automation risk of 46/100 and overall exposure at 56%, this role faces high transformation. The highest-impact area is compile and compare material and labor cost data at 88% automation. This is classified as a 'mixed' role. BLS projects -4% growth through 2034. Estimators who leverage AI-powered cost modeling tools can redirect their expertise toward complex project negotiations and risk assessment.

Frequently Asked Questions

With an automation risk score of 46%, Cost Estimators 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.

The AI automation risk score for Cost Estimators is 46% (2025 data). Overall AI exposure is 56%, with 68% theoretical exposure and 34% observed exposure. The risk trend from 2023 to 2025 is +18 points.

The tasks with the highest automation potential for Cost Estimators are: Compile and compare material and labor cost data (88%), Analyze blueprints and specifications for cost calculations (82%), Prepare detailed bid documents and proposals (70%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.

The BLS projects -4% employment change for Cost Estimators from 2024 to 2034. Combined with an overall AI exposure of 56%, this occupation is experiencing 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 Cost Estimators 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.

Recent AI Impact Changes

Mar 2026: Evergreen blog post published analyzing AI automation risk for cost estimators

[Source: AI Changing Work Blog]