Will AI replace energy engineers?

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 3.7% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 2 of 21 tasks, about 29m of a typical shift. The biggest ones:

• Analyze, interpret, or create graphical representations of energy data, using engineering software. (24m a shift, AI mostly does it alone)
• Promote awareness or use of alternative or renewable energy sources. (6m a shift, AI mostly does it alone)

Not in workplaces like this one, based on a 2026 review of robot deployments. For 4 physical tasks, no robot has shown it can do the work yet.

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:

• Identify and recommend energy savings strategies to achieve more energy-efficient operation. (41m a shift)
• Conduct energy audits to evaluate energy use and to identify conservation and cost reduction measures. (41m a shift)
• Perform energy modeling, measurement, verification, commissioning, or retro-commissioning. (41m a shift)
• Prepare energy-related project reports or related documentation. (41m a shift)
• Monitor and analyze energy consumption. (36m 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:

• 59% say dealing with the public is very or extremely important
• 55% talk face to face with others every day
• 52% carry high or very high responsibility for other workers' safety

We track 1 sourced company move that affects this job. Most recent:

• Jun 22, 2026: Fervo, Nvidia and PNNL build AI twin for geothermal drilling (Announced)

On Indeed, job postings in the Mechanical Engineering sector are at 168% of their February 2020 level (all U.S. postings: 104%), up 43.4% from a year earlier, as of Oct 9, 2026. BLS separately expects about 8,800 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 $122,930 a year ($59.10 an hour), 141% above the median for all U.S. jobs ($50,980). Most people in this job earn between $66,810 and $189,950 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 3.7% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 173,000 jobs in 2035. It expects about 8,800 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 154,000 people in the U.S., roughly 0.10% of all workers (BLS, May 2025). That makes it the 211th largest of the 796 jobs on this site. BLS expects about 173,000 in 2035.

The most common requirement is a bachelor's degree: about 50% 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: Operations Analysis, Systems Analysis, Mathematics, Science
• 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: The MathWorks MATLAB, Python, Microsoft PowerPoint, Microsoft Office software, Microsoft Excel
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

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:

• Water/Wastewater Engineers (0m touched, $101k median pay)
• Environmental Engineers (17m touched, $107k median pay)
• Fire-Prevention and Protection Engineers (0m touched, $115k median pay)
• Civil Engineers (46m touched, $101k median pay)
• Mining and Geological Engineers, Including Mining Safety Engineers (56m touched, $106k median pay)

Each task carries its own evidence label. For this job: 2 observed in real AI use, 19 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.