Wind Energy Engineers
In short: today's best AI models could do about 24% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 85% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 12% of the time, stays with people.
Design underground or overhead wind farm collector systems and prepare and develop site specifications.
$122,930 a year (for the broader BLS group this job sits in).
A typical 40-hour week
Not yet reviewed task by task- AI could take on10 h
- A person checks AI's work0 h
- Desk work AI can't do yet25 h
- Stays with people5 h
Wind Energy Engineers, now: of a 40-hour week, AI could take on 10 hours, 0 hours become checking its work, 25 hours are desk work it can't do yet, and 5 hours stay with people.
The largest pieces: Create or maintain wind farm layouts, schematics, or other visual documentation for wind farms (about 2 h); Investigate experimental wind turbines or wind turbine technologies for properties such as aerodynamics, production, noise, and load (about 2 h); Create models to optimize the layout of wind farm access roads, crane pads, crane paths, collection systems, substations, switchyards, or transmission lines (about 1 h).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 88%
- 0%
- 12%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 2%. Today's estimate: 24%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, no reportable share went to this job's tasks in May 2026; 0 of its 16 tasks showed up. Within each of Anthropic's methods, never across a change: 0.0029% to none (released February and March 2025).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.0029% | 662 of 708 | 1 of 16 |
| Released March 2025 | none | n/a | 0 of 16 |
| The week of Aug 4, 2025 (released September 2025) | none | n/a | 0 of 16 |
| The week of Nov 13, 2025 (released January 2026) | none | n/a | 0 of 16 |
| The week of Feb 5, 2026 (released March 2026) | none | n/a | 0 of 16 |
| April 2026 (released June 2026) | none | n/a | 0 of 16 |
| May 2026 (released June 2026) | none | n/a | 0 of 16 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 4% of this job's working time as physical work. For 4% of the working time, a robot has been shown doing most of the task somewhere: 4% in a purpose-built cell. 0.04 of 3, the 604th highest of the 923 jobs.
- Not physical 96%
- In a purpose-built cell 4%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
The tasks
Sorted by . 16 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Investigate experimental wind turbines or wind turbine technologies for properties such as aerodynamics, production, noise, and load.Done more than yearly by most who do it. | 18% | 2.1 work days6.7 h to 1.7 work weeks | 23%Half by May 2027 | |
| Develop active control algorithms, electronics, software, electromechanical, or electrohydraulic systems for wind turbines.Done yearly or less by most who do it. | 18% | 4.2 work days1.7 work days to 3.3 work weeks | 7%Half by Nov 2027 | |
| Create models to optimize the layout of wind farm access roads, crane pads, crane paths, collection systems, substations, switchyards, or transmission lines.Done more than monthly by most who do it. | 15% | 2.1 work days6.7 h to 1.7 work weeks | 23%Half by May 2027 | |
| Develop specifications for wind technology components, such as gearboxes, blades, generators, frequency converters, or pad transformers.Done more than monthly by most who do it. | 9% | 2.1 work days3.3 h to 1.7 work weeks | 15%Half by Oct 2027 | |
| Design underground or overhead wind farm collector systems.Done yearly or less by most who do it. | 6% | 4.2 work days6.7 h to 3.3 work weeks | 5%Half by Apr 2028 | |
| Test wind turbine equipment to determine effects of stress or fatigue.Done more than yearly by most who do it. | 6% | 2.1 work days3.3 h to 1.7 work weeks | Stays with people | |
| Create or maintain wind farm layouts, schematics, or other visual documentation for wind farms.Done more than monthly by most who do it. | 6% | 4.2 h1.7 h to 1.7 work days | 86%Half by now | |
| Provide engineering technical support to designers of prototype wind turbines.Done more than yearly by most who do it. | 5% | 6.7 h1.7 h to 4.2 work days | 40%Half by Jan 2027 | |
| Recommend process or infrastructure changes to improve wind turbine performance, reduce operational costs, or comply with regulations.Done more than yearly by most who do it. | 5% | 6.7 h2.5 h to 2.5 work days | 69%Half by now | |
| Monitor wind farm construction to ensure compliance with regulatory standards or environmental requirements.Done more than yearly by most who do it. | 3% | 6.7 h1.7 h to 2.5 work days | Stays with people | |
| Analyze operation of wind farms or wind farm components to determine reliability, performance, and compliance with specifications.Done more than yearly by most who do it. | 2% | 6.7 h3.3 h to 4.2 work days | 61%Half by now | |
| Test wind turbine components, using mechanical or electronic testing equipment.Done more than yearly by most who do it.Robots: in a purpose-built cell, Klotz end-of-line test benches for high-performance electric motors (sold). Anthropic's rating. | 2% | 6.7 h2.5 h to 4.2 work days | Stays with people |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
Where this job works
The industry groups that employ the most of it (BLS, May 2025). Counts are for the broader BLS group this job sits in.
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025). Counts are for the broader BLS group this job sits in.
Questions about this job
- How much of the work of Wind Energy Engineers is within reach of AI now?
- An estimated 24% of the working time is within reach of AI models now and 85% by the end of 2028, on METR's long-run pace at four in five (65% to 88% across the three paces the site shows). Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Wind Energy Engineers come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Create or maintain wind farm layouts, schematics, or other visual documentation for wind farms (86% of the task's time now, 100% by the end of 2028); Investigate experimental wind turbines or wind turbine technologies for properties such as aerodynamics, production, noise, and load (23% of the task's time now, 99% by the end of 2028); and Create models to optimize the layout of wind farm access roads, crane pads, crane paths, collection systems, substations, switchyards, or transmission lines (23% of the task's time now, 99% by the end of 2028).
- Which tasks of Wind Energy Engineers stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Test wind turbine equipment to determine effects of stress or fatigue; Monitor wind farm construction to ensure compliance with regulatory standards or environmental requirements; and Test wind turbine components, using mechanical or electronic testing equipment. Together such tasks are about 12% of the working time.
- Do people already use AI for the work of Wind Energy Engineers?
- In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 7%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Wind Energy Engineers?
- Anthropic's robot exposure rating (September 2026) finds 4% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 4% of the working time. Its index is 0.04 of 3. One example: Klotz end-of-line test benches for high-performance electric motors for "test wind turbine components, using mechanical or electronic testing equipment". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 16 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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