AI exposure by occupation, O*NET 11-3051.06

Will AI replace Hydroelectric Production Managers?

Hydroelectric Production Managers: AI can already handle 8 of 18 tasks; the work mostly needs a frontier-tier model.

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Every task, scored

The 18 tasks O*NET 30.3 lists for Hydroelectric Production Managers, from most to least exposed. 8 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Identify and communicate power system emergencies. 75 Estimated Standard 4.2
Perform or direct preventive or corrective containment or cleanup to protect the environment. 75 Estimated Frontier 4.1
Supervise or monitor hydroelectric facility operations to ensure that generation or mechanical equipment conform to applicable regulations or standards. 75 Estimated Standard 4.1
Operate energized high- or low-voltage hydroelectric power transmission system substations, according to procedures and safety requirements. 75 Estimated Efficient 4.1
Provide technical direction in the erection or commissioning of hydroelectric equipment or supporting electrical or mechanical systems. 75 Estimated Frontier 3.8
Create or enforce hydrostation voltage schedules. 75 Estimated Efficient 3.7
Respond to problems related to ratepayers, water users, power users, government agencies, educational institutions, or other private or public power resource interests. 75 Estimated Efficient 3.6
Develop or review budgets, annual plans, power contracts, power rates, standing operating procedures, power reviews, or engineering studies. 65 Estimated Frontier 3.6
Plan or coordinate hydroelectric production operations to meet customer requirements. 50 Estimated Frontier 4.1
Develop or implement projects to improve efficiency, economy, or effectiveness of hydroelectric plant operations. 50 Estimated Frontier 3.9
Supervise hydropower plant equipment installations, upgrades, or maintenance. 50 Estimated Frontier 3.8
Plan or manage hydroelectric plant upgrades. 50 Estimated Frontier 3.8
Develop or implement policy evaluation procedures for hydroelectric generation activities. 50 Estimated Frontier 3.6
Direct operations, maintenance, or repair of hydroelectric power facilities. 20 Estimated Standard 4.5
Maintain records of hydroelectric facility operations, maintenance, or repairs. 20 Estimated Efficient 4.2
Monitor or inspect hydroelectric equipment, such as hydro-turbines, generators, or control systems. 20 Estimated Efficient 4.1
Inspect hydroelectric facilities, including switchyards, control houses, or relay houses, for normal operation or adherence to safety standards. 20 Estimated Efficient 4.1
Check hydroelectric operations for compliance with prescribed operating limits, such as loads, voltages, temperatures, lines, or equipment. 10 Estimated No tier 4.1

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 18 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 18 of 18. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A frontier-tier model or lower covers 94% of the role's importance-weighted task work. 94% of the work is something AI can address at some tier, and 6% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
246,250
Median annual wage
$126,060
Middle half of earners
$98,160 to $161,880
Projected change, 2024 to 2034
+1.9%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034. BLS publishes these figures by SOC code, so O*NET occupations that share a SOC code show the same figures.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Hydroelectric Production Managers and AI

Will AI replace Hydroelectric Production Managers?

AI already handles 8 of the 18 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 51 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +1.9% from 2024 to 2034.

What is the AI exposure of Hydroelectric Production Managers?

51 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 18 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 18 are estimated from each task's O*NET work activity.

Which Hydroelectric Production Managers tasks can AI already do?

The tasks with the highest exposure are: Identify and communicate power system emergencies; Perform or direct preventive or corrective containment or cleanup to protect the environment; Supervise or monitor hydroelectric facility operations to ensure that generation or mechanical equipment conform to applicable regulations or standards. They are three of the 8 tasks that reach 60 or more.

What AI model tier does this role need?

A frontier-tier model or lower covers 94% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Hydroelectric Production Managers, and what do they earn?

246,250 people in the United States, with a median annual wage of $126,060 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +1.9% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Hydroelectric Production Managers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/hydroelectric-production-managers

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