Will AI replace Power Distributors and Dispatchers?

This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.

What does a score of 33 mean for a Power Distributors and Dispatchers?

It means that, weighted across the 14 tasks we analyzed for this role, the task mix sits at 33 on a 0–100 exposure scale — in the second quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which parts of this job are most durable?

The most durable responsibilities are: Inspect equipment to ensure that specifications are met or to detect any defects; Tend auxiliary equipment used in the power distribution process; Respond to emergencies, such as transformer or transmission line failures, and route current around affected areas. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.

Power Distributors and Dispatchers

Coordinate, regulate, or distribute electricity or steam.

Also known as: Dispatcher · Board Operator · Control Operator · Auxiliary Operator · Distribution Lineman · Control Area Operator

AI Task Exposure Score

Moderate exposure

More exposed than 45% of 968 occupations · Rank #506 (1 = most exposed)

This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.

Your free role snapshot

Start with the work, not the headline

This occupation baseline already contains different kinds of work. These are the two ends of its current task range and one useful action you can take now.

Most exposed task

Record and compile operational data, such as chart or meter readings, power demands, or usage and operating times, using transmission system maps.

Automatable 65/100 exposure

Most durable task

Tend auxiliary equipment used in the power distribution process.

Durable 15/100 exposure

Useful next step

Make one change to the task mix

Pilot AI on one augmentable task, then document the judgment, relationships, and accountability you still own.

Want this mapped to your actual week? Know what to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days.

Build my 7/30/90-day action plan — $9

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

Record and compile operational data, such as chart or meter readings, power demands, or usage and operating times, using transmission system maps.65

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

Monitor and record switchboard or control board readings to ensure that electrical or steam distribution equipment is operating properly.55
Calculate load estimates or equipment requirements to determine required control settings.55
Implement energy schedules, including real-time transmission reservations or schedules.45

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

Inspect equipment to ensure that specifications are met or to detect any defects.15
Tend auxiliary equipment used in the power distribution process.15
Respond to emergencies, such as transformer or transmission line failures, and route current around affected areas.18

Task exposure values and classifications are published, versioned estimates audited against the anchored rubric. This page reads them from the data release rather than generating them at request time. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 33 puts Power Distributors and Dispatchers in the second quartile of analyzed occupations. In practice, exposure this level is about the mix: 1 of 14 analyzed tasks lean automatable, 4 augmentable, and 9 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

Lower-exposure adjacent roles

Shown only when the target is at least 10 points lower under the same score version and skill overlap is at least 50%. These are adjacent roles with lower task exposure — not guaranteed “safe careers”.

Hydroelectric Plant Technicians

21 ▼ 12 pts lower

Skill overlap ≈ 72% · Related O*NET role; Hydroelectric Plant Technicians is an adjacent path (Elevated band).

Labor-market context

$106,730median wage
8,520employed
800annual openings
-3.2%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Turn your actual week into a plan

Know which work to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days. Your $9 plan includes a confidence-rated personal score, task matrix, human moat, and only genuinely lower-exposure adjacent roles.

Build my 7/30/90-day action plan — $9

Related roles

Adjacent by skills or family — no exposure claim implied.

How this score was calculated

The score is the plain average of the AI-exposure values of this role’s 14 analyzed tasks (equal task weights in this release — no hidden factors):

Automatable 1 task, averaging 65/100 exposure
Augmentable 4 tasks, averaging 49/100 exposure
Durable 9 tasks, averaging 23/100 exposure

score = (1×65 + 4×49 + 9×23) ÷ 14 ≈ 33

Every task’s exposure value was scored against a published anchored rubric that scores tasks as actually performed — physical, in-person, and accountability requirements included (data release 2026.07.12-r2). The band (Moderate) is a corpus quartile; the percentile is tie-aware across all 968 occupations.

FAQ — Power Distributors and Dispatchers

Will AI replace Power Distributors and Dispatchers?: This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.
What does a score of 33 mean for a Power Distributors and Dispatchers?: It means that, weighted across the 14 tasks we analyzed for this role, the task mix sits at 33 on a 0–100 exposure scale — in the second quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
Which tasks in this role are most exposed to AI?: The highest-exposure tasks are: Record and compile operational data, such as chart or meter readings, power demands, or usage and operating times, using transmission system maps. Exposure comes from the published, rubric-scored data release rather than being generated when you open this page.
Which parts of this job are most durable?: The most durable responsibilities are: Inspect equipment to ensure that specifications are met or to detect any defects; Tend auxiliary equipment used in the power distribution process; Respond to emergencies, such as transformer or transmission line failures, and route current around affected areas. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.
Is this score personalized to me?: No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.

Score version jr-v1 · data release 2026.07.12-r2 · updated 2026-07-13 · baseline mapping: 14 of 14 tasks carry source-level provenance · methodology