Will AI replace power distributors and dispatchers?

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 48m (98%) stays with people. Separately, BLS expects about 1.2% 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 2 of this job's tasks in workplaces like this one, about 12m of a typical shift.

• Inspect equipment to ensure that specifications are met or to detect any defects. (6m a shift; e.g. Spot (Boston Dynamics) with utility ML analytics, in use)
• Tend auxiliary equipment used in the power distribution process. (6m a shift; e.g. Spot (quadruped inspection robot), in use)

7h 48m of a typical shift, or 98%, 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:

• Control, monitor, or operate equipment that regulates or distributes electricity or steam, using data obtained from instruments or computers. (1h 29m a shift)
• Coordinate with engineers, planners, field personnel, or other utility workers to provide information such as clearances, switching orders, or distribution process changes. (1h 17m a shift)
• Distribute or regulate the flow of power between entities, such as generating stations, substations, distribution lines, or users, keeping track of the status of circuits or connections. (59m a shift)
• Prepare switching orders that will isolate work areas without causing power outages, referring to drawings of power systems. (47m a shift)
• Respond to emergencies, such as transformer or transmission line failures, and route current around affected areas. (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:

• 94% say a mistake would be very or extremely serious
• 86% carry high or very high responsibility for other workers' safety
• 67% say dealing with the public is very or extremely important

On Indeed, job postings in the Production & Manufacturing sector are at 124% of their February 2020 level (all U.S. postings: 104%), up 12.6% from a year earlier, as of Oct 9, 2026. BLS separately expects about 700 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 $106,730 a year ($51.31 an hour), 109% above the median for all U.S. jobs ($50,980). Most people in this job earn between $72,440 and $154,270 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 1.2% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 8,700 jobs in 2035. It expects about 700 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 8,520 people in the U.S., roughly 0.01% of all workers (BLS, May 2025). That makes it the 685th largest of the 796 jobs on this site. BLS expects about 8,700 in 2035.

The most common requirement is a post-secondary certificate: about 40% of people in the job said so in the official O*NET survey. O*NET rates the job at level 3 of 5 for preparation, which usually means: vocational school or associate'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: Operation and Control, Operations Monitoring, Monitoring, Reading Comprehension
• Get strong at the parts of the job that stay with people (listed above), which take 7h 48m of a typical shift
• Tools employers list: Microsoft Access, Microsoft Excel, Microsoft Office software, Microsoft Outlook, Microsoft PowerPoint

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:

• Gas Plant Operators (5h 4m touched, $88k median pay)
• Electrical and Electronics Repairers, Powerhouse, Substation, and Relay (0m touched, $103k median pay)

Each task carries its own evidence label. For this job: 2 with robots in real deployments, 12 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.