Fuel Cell Engineers
In short: today's best AI models could do about 14% 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 61% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 31% of the time, stays with people.
Design, evaluate, modify, or construct fuel cell components or systems for transportation, stationary, or portable applications.
$104,110 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 on6 h
- A person checks AI's work0 h
- Desk work AI can't do yet22 h
- Stays with people12 h
Fuel Cell Engineers, now: of a 40-hour week, AI could take on 6 hours, 0 hours become checking its work, 22 hours are desk work it can't do yet, and 12 hours stay with people.
The largest pieces: Provide technical consultation or direction related to the development or production of fuel cell systems (under an hour); Analyze fuel cell or related test data, using statistical software (under an hour); Read current literature, attend meetings or conferences, or talk with colleagues to stay abreast of new technology or competitive products (under an hour).
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.
- 69%
- 0%
- 31%
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, 3%. Today's estimate: 14%.
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 26 tasks showed up. Within each of Anthropic's methods, never across a change: 0.0059% to 0.013% (released February and March 2025); 0.0047% to 0.0083% (August 2025 to February 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.0059% | 587 of 708 | 1 of 26 |
| Released March 2025 | 0.013% | 475 of 703 | 2 of 26 |
| The week of Aug 4, 2025 (released September 2025) | 0.0047% | 535 of 655 | 1 of 26 |
| The week of Nov 13, 2025 (released January 2026) | 0.0076% | 517 of 672 | 1 of 26 |
| The week of Feb 5, 2026 (released March 2026) | 0.0083% | 519 of 677 | 2 of 26 |
| April 2026 (released June 2026) | none | n/a | 0 of 26 |
| May 2026 (released June 2026) | none | n/a | 0 of 26 |
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 27% of this job's working time as physical work. For 25% of the working time, a robot has been shown doing most of the task somewhere: 25% in a purpose-built cell. 0.25 of 3, the 406th highest of the 923 jobs.
- Not physical 73%
- No robot shown 2%
- In a purpose-built cell 25%
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 . 26 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Plan or conduct experiments to validate new materials, optimize startup protocols, reduce conditioning time, or examine contaminant tolerance.Done daily by most who do it. Robots: in a purpose-built cell, Yaskawa Motoman SDA5F robotic fuel-cell assembly workcell (Georgia Southern University / collaborators) (demonstrated). Anthropic's rating. | 6% | 1.7 work days3.3 h to 4.2 work days | Stays with people | |
| Conduct fuel cell testing projects, using fuel cell test stations, analytical instruments, or electrochemical diagnostics, such as cyclic voltammetry or impedance spectroscopy.Done daily by most who do it. Robots: in a purpose-built cell, ZBT fully automated single-cell test benches (Zentrum fuer BrennstoffzellenTechnik (ZBT) GmbH) (deployed). Anthropic's rating. | 6% | 1.7 work days3.3 h to 1.7 work weeks | Stays with people | |
| Simulate or model fuel cell, motor, or other system information, using simulation software programs.Done more than monthly by most who do it. | 6% | 1.7 work days3.3 h to 1.7 work weeks | 20%Half by Aug 2027 | |
| Characterize component or fuel cell performances by generating operating maps, defining operating conditions, identifying design refinements, or executing durability assessments.Done more than weekly by most who do it. | 6% | 2.5 work days6.7 h to 1.7 work weeks | 18%Half by Jun 2027 | |
| Fabricate prototypes of fuel cell components, assemblies, stacks, or systems.Done more than weekly by most who do it. Robots: in a purpose-built cell, H2FastCell robot cell (Fraunhofer IPA / Campus Schwarzwald, with teamtechnik, Schmalz, Weiss, ISG, i-mation) (demonstrated). Anthropic's rating. | 6% | 3.3 work days6.7 h to 2.5 work weeks | Stays with people | |
| Plan or implement fuel cell cost reduction or product improvement projects in collaboration with other engineers, suppliers, support personnel, or customers.Done more than monthly by most who do it. | 6% | 4.2 work days6.7 h to 3.3 work weeks | 5%Half by Apr 2028 | |
| Validate design of fuel cells, fuel cell components, or fuel cell systems.Done more than yearly by most who do it. | 6% | 4.2 work days6.7 h to 3.3 work weeks | 5%Half by Apr 2028 | |
| Manage fuel cell battery hybrid system architecture, including sizing of components, such as fuel cells, energy storage units, or electric drives.Done more than weekly by most who do it. | 6% | 4.2 work days6.7 h to 2.5 work weeks | 6%Half by Feb 2028 | |
| Design or implement fuel cell testing or development programs.Done more than monthly by most who do it. | 6% | 4.2 work days6.7 h to 3.3 work weeks | 5%Half by Apr 2028 | |
| Develop fuel cell materials or fuel cell test equipment.Done more than yearly by most who do it. Robots: in a purpose-built cell, Mobile robotic chemist (KUKA mobile manipulator, Cooper group) (University of Liverpool) (demonstrated). Anthropic's rating. | 6% | 1.7 work weeks1.7 work days to 1.5 work months | Stays with people | |
| Design fuel cell systems, subsystems, stacks, assemblies, or components, such as electric traction motors or power electronics.Done more than yearly by most who do it. | 6% | 1.7 work weeks1.7 work days to 1.2 work months | 1%Half by Aug 2028 | |
| Develop or evaluate systems or methods of hydrogen storage for fuel cell applications.Done yearly or less by most who do it. | 6% | 1.7 work weeks2.1 work days to 1.2 work months | 1%Half by Jun 2028 |
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 Fuel Cell Engineers is within reach of AI now?
- An estimated 14% of the working time is within reach of AI models now and 61% by the end of 2028, on METR's long-run pace at four in five (39% to 68% 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 Fuel Cell 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: Provide technical consultation or direction related to the development or production of fuel cell systems (100% of the task's time now); Analyze fuel cell or related test data, using statistical software (55% of the task's time now, 100% by the end of 2028); and Read current literature, attend meetings or conferences, or talk with colleagues to stay abreast of new technology or competitive products (99% of the task's time now).
- Which tasks of Fuel Cell Engineers stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Plan or conduct experiments to validate new materials, optimize startup protocols, reduce conditioning time, or examine contaminant tolerance; Conduct fuel cell testing projects, using fuel cell test stations, analytical instruments, or electrochemical diagnostics, such as cyclic voltammetry or impedance spectroscopy; and Fabricate prototypes of fuel cell components, assemblies, stacks, or systems. Together such tasks are about 31% of the working time.
- Do people already use AI for the work of Fuel Cell 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 8%. 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 Fuel Cell Engineers?
- Anthropic's robot exposure rating (September 2026) finds 27% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 25% of the working time. Its index is 0.25 of 3. One example: Yaskawa Motoman SDA5F robotic fuel-cell assembly workcell for "plan or conduct experiments to validate new materials, optimize startup protocols, reduce conditioning time, or examine contaminant tolerance". 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 26 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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