Will AI replace brownfield redevelopment specialists and site managers?

Not on current evidence. Less than 30 minutes of a typical shift goes to tasks that AI or robots are doing today. The other 7h 31m (94%) stays with people. Separately, BLS expects about 4.9% more of these jobs by 2035 (all jobs: +3.5%).

None of this job's tasks show regular AI use yet. That can mean the work is hands-on or in person, or simply that it rarely comes up in AI usage data.

For some tasks, yes. Robots have done 1 of this job's tasks in workplaces like this one, about 29m of a typical shift.

• Inspect sites to assess environmental damage or monitor cleanup progress. (29m a shift; e.g. Percepto Air Max OGI / Percepto AIM drone-in-a-box, in use)

7h 31m of a typical shift, or 94%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Coordinate on-site activities for environmental cleanup or remediation projects to ensure compliance with environmental laws, standards, regulations, or other requirements. (52m a shift)
• Plan or implement brownfield redevelopment projects to ensure safety, quality, and compliance with applicable standards or requirements. (52m a shift)
• Prepare reports or presentations to communicate brownfield redevelopment needs, status, or progress. (40m a shift)
• Identify and apply for project funding. (29m a shift)
• Maintain records of decisions, actions, and progress related to environmental redevelopment projects. (29m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 82% say dealing with the public is very or extremely important
• 50% talk face to face with others every day

On Indeed, job postings in the Management sector are at 104% of their February 2020 level (all U.S. postings: 104%), up 8.3% from a year earlier, as of Oct 9, 2026. BLS separately expects about 101,000 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $141,900 a year ($68.22 an hour), 178% above the median for all U.S. jobs ($50,980). Most people in this job earn between $74,300 and $238,270 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 4.9% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 1.4 million jobs in 2035. It expects about 101,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 622,000 people in the U.S., roughly 0.40% of all workers (BLS, May 2025). That makes it the 67th largest of the 796 jobs on this site. BLS expects about 1.4 million in 2035.

The most common requirement is a bachelor's degree: about 77% of people in the job said so in the official O*NET survey. O*NET rates the job at level 4 of 5 for preparation, which usually means: bachelor's degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Management of Financial Resources, Coordination, Complex Problem Solving, Mathematics
• Get strong at the parts of the job that stay with people (listed above), which take 7h 31m of a typical shift
• Tools employers list: Microsoft Office software, ESRI ArcGIS software, Linux, Microsoft Access, Microsoft Excel

These use similar skills. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Environmental Restoration Planners (0m touched, $82k median pay)
• Wind Energy Development Managers (21m touched, $142k median pay)
• Water Resource Specialists (32m touched, $167k median pay)
• Environmental Engineers (17m touched, $107k median pay)
• Environmental Scientists and Specialists, Including Health (2h 16m touched, $82k median pay)

Each task carries its own evidence label. For this job: 1 with robots in real deployments, 22 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.