Short answer
The job is exposed and shrinking. BLS rates the exposure as high and projects employment to fall, so expect fewer roles and more AI in the ones that remain.
AI and jobs
Will AI Replace Cost Estimators? (2026)
The Bureau of Labor Statistics places cost estimators in its high AI exposure category, above the middle of the pack: a substantial share of the work overlaps with what AI can do. BLS projects employment to fall by 3.1% over 2025–2035, against 3.5% for all occupations, with about 17,600 openings a year.
- BLS AI exposure
- HighBLS EP supplemental table
- AI-resilience score
- 12/100Higher than 4% of jobs · NueCareer
- Projected change
- -3.1%BLS EP 2025–2035; all jobs 3.5%
- Openings a year
- 17,600BLS EP 2025–2035
The federal measure
How exposed cost estimators are to AI
The Bureau of Labor Statistics publishes a relative AI exposure category for each occupation it projects, built from five public measures of where AI could be, or already is, used to assist with or complete the work. Cost Estimators land in the high category: above the middle of the pack: a substantial share of the work overlaps with what AI can do.
Where this job sits on the BLS scale
786 occupations in the NueCareer bank, in BLS's four relative categories; width shows how many fall in each
- Low203 occupations · 26%
- Moderate194 occupations · 25%
- High · this job190 occupations · 24%
- Very high199 occupations · 25%
Source: BLS Employment Projections, AI exposure categories supplemental table.
- Exposure is relative. The categories rank occupations against each other; they are not a probability that a job is automated.
- BLS says exposure does not imply job loss, productivity gains, automation probability or wage effects. A highly exposed job can still grow if AI makes the people in it more productive.
- The classification reflects AI capabilities as the underlying studies measured them. Read the BLS method and limitations.
Inside the work
What AI can and cannot do in this job
O*NET rates how important each work activity is to an occupation and how often each working condition comes up. The ratings below are the ones that move the job's NueCareer AI-resilience score the most: the ones that pull it up, and the ones that pull it down. Only ratings clearly above the midpoint count.
What holds up
Physical, hands-on and person-to-person work
- Face-to-face discussions4.5/5O*NET work context, frequency or level
- Establishing and maintaining interpersonal relationships3.8/5O*NET work activity, importance
- Making decisions and solving problems4.3/5O*NET work activity, importance
- Thinking creatively3.6/5O*NET work activity, importance
What AI reaches first
Routine, repeatable and screen-based work
- Processing information4.1/5O*NET work activity, importance
- Analyzing data or information4.6/5O*NET work activity, importance
- Working with computers4.6/5O*NET work activity, importance
- Getting information4.6/5O*NET work activity, importance
The tasks O*NET lists for cost estimators
- Analyze blueprints and other documentation to prepare time, cost, materials, and labor estimates.
- Confer with engineers, architects, owners, contractors, and subcontractors on changes and adjustments to cost estimates.
- Collect historical cost data to estimate costs for current or future products.
- Consult with clients, vendors, personnel in other departments, or construction foremen to discuss and formulate estimates and resolve issues.
- Prepare estimates for use in selecting vendors or subcontractors.
- Conduct special studies to develop and establish standard hour and related cost data or to reduce cost.
O*NET 31.0 Database task statements, most important first.
The jobs
Will there still be jobs?
Exposure says where AI meets the work. The BLS projection says what the labor market is expected to do over 2025–2035. BLS projects -3.1% change in employment over the decade, against 3.5% across all occupations, and about 17,600 openings a year once retirements and career changes are counted. About 224,220 people work in the job today, at a median of $78,740 a year (BLS OEWS, May 2025).
Full cost estimator profile: pay by state, entry route and skills
Questions
Will AI Replace Cost Estimators? FAQ
Will AI replace cost estimators?
The job is exposed and shrinking. BLS rates the exposure as high and projects employment to fall, so expect fewer roles and more AI in the ones that remain. BLS defines exposure as AI being able to assist with or complete some of the work, and says it does not imply job loss, productivity gains or wage effects. BLS projects employment to fall by 3.1% over 2025–2035, against 3.5% for all occupations, with about 17,600 openings a year.
How exposed are cost estimators to AI?
BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Cost Estimators are in the high category, alongside 189 other occupations. The categories combine five public measures of where AI could be or already is used, and they compare occupations with each other rather than giving an absolute risk.
What parts of a cost estimator's job can AI do?
In O*NET's description of the work, the parts that overlap most with what AI handles well are processing information, analyzing data or information and working with computers. The parts that hold up best are face-to-face discussions, establishing and maintaining interpersonal relationships and making decisions and solving problems. These come from O*NET ratings of how important each activity is to the job, read through NueCareer's AI-resilience method.
Is being a cost estimator a safe career from AI?
On NueCareer's AI-resilience score, built from O*NET work activities, cost estimators score 12 out of 100, higher than 4% of the occupations we score. The job pays a median of $78,740 a year (BLS OEWS, May 2025). No job is fully safe from technological change, but the federal exposure category and the projected openings are the two numbers worth weighing.
The AI exposure category is the Bureau of Labor Statistics'. The AI-resilience score and the activity breakdown are NueCareer's analysis of O*NET 31.0 Database data (method), not a federal figure. More: jobs most exposed to AI, jobs least exposed to AI, or check any job.