Will AI replace Brownfield Redevelopment Specialists and Site Managers?
Estimated risk score: 51 out of 100
Moderate replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (32 to 70).
For the occupation as a whole, from ratings of its 23 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 11-9199.11 · Management
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 3 of its 23 rated tasks. In O*NET’s words.
- Maintain records of decisions, actions, and progress related to environmental redevelopment projects.
- Prepare and submit permit applications for demolition, cleanup, remediation, or construction projects.
- Prepare reports or presentations to communicate brownfield redevelopment needs, status, or progress.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 3 of its 23 rated tasks. In O*NET’s words.
- Coordinate the disposal of hazardous waste.
- Design or implement plans for structural demolition and debris removal.
- Provide training on hazardous material or waste cleanup procedures and technologies.
What the job is
Plan and direct cleanup and redevelopment of contaminated properties for reuse. Does not include properties sufficiently contaminated to qualify as Superfund sites.
Also called: Brownfield Program Director, Brownfields Practice Leader, Brownfield Redevelopment Coordinator, LSRP, Cleanup Monitor, Remediation Expert, Redevelopment Manager, Debris Cleanup Monitor.
Closest jobs we score by hand
In the same field (Management). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate