AI exposure by occupation, O*NET 17-2141.01

Will AI replace Fuel Cell Engineers?

Fuel Cell Engineers: AI can already handle 6 of 26 tasks; the work mostly needs a frontier-tier model.

Have a team in this role?

Get your free 10-role sample: send this role and up to nine others, and a founder sends a board-pack PDF within two business days.

Every task, scored

The 26 tasks O*NET 30.3 lists for Fuel Cell Engineers, from most to least exposed. 6 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Calculate the efficiency or power output of a fuel cell system or process. 80 Estimated Standard 3.3
Characterize component or fuel cell performances by generating operating maps, defining operating conditions, identifying design refinements, or executing durability assessments. 65 Estimated Frontier 4.1
Evaluate the power output, system cost, or environmental impact of new hydrogen or non-hydrogen fuel cell system designs. 65 Estimated Efficient 3.2
Develop or evaluate systems or methods of hydrogen storage for fuel cell applications. 65 Estimated Standard 2.9
Provide technical consultation or direction related to the development or production of fuel cell systems. 60 Estimated Standard 4.1
Recommend or implement changes to fuel cell system designs. 60 Estimated Frontier 3.8
Analyze fuel cell or related test data, using statistical software. 55 Estimated Standard 4.0
Conduct fuel cell testing projects, using fuel cell test stations, analytical instruments, or electrochemical diagnostics, such as cyclic voltammetry or impedance spectroscopy. 55 Estimated Standard 4.0
Conduct post-service or failure analyses, using electromechanical diagnostic principles or procedures. 55 Estimated Standard 3.8
Define specifications for fuel cell materials. 55 Estimated Frontier 3.8
Read current literature, attend meetings or conferences, or talk with colleagues to stay abreast of new technology or competitive products. 55 Estimated Standard 3.7
Prepare test stations, instrumentation, or data acquisition systems for use in specific tests of fuel cell components or systems. 55 Estimated Efficient 3.7
Fabricate prototypes of fuel cell components, assemblies, stacks, or systems. 55 Estimated Frontier 3.6
Write technical reports or proposals related to engineering projects. 55 Estimated Efficient 3.5
Simulate or model fuel cell, motor, or other system information, using simulation software programs. 55 Estimated Frontier 3.4
Identify or define vehicle and system integration challenges for fuel cell vehicles. 55 Estimated Standard 3.4
Authorize release of fuel cell parts, components, or subsystems for production. 55 Estimated Frontier 3.3
Plan or conduct experiments to validate new materials, optimize startup protocols, reduce conditioning time, or examine contaminant tolerance. 50 Estimated Efficient 4.2
Plan or implement fuel cell cost reduction or product improvement projects in collaboration with other engineers, suppliers, support personnel, or customers. 50 Estimated Frontier 4.0
Validate design of fuel cells, fuel cell components, or fuel cell systems. 50 Estimated Standard 3.7
Develop fuel cell materials or fuel cell test equipment. 50 Estimated Frontier 3.7
Design or implement fuel cell testing or development programs. 50 Estimated Frontier 3.6
Design fuel cell systems, subsystems, stacks, assemblies, or components, such as electric traction motors or power electronics. 50 Estimated Frontier 3.4
Coordinate fuel cell engineering or test schedules with departments outside engineering, such as manufacturing. 50 Estimated Standard 3.3
Manage fuel cell battery hybrid system architecture, including sizing of components, such as fuel cells, energy storage units, or electric drives. 8 Estimated No tier 3.6
Integrate electric drive subsystems with other vehicle systems to optimize performance or mitigate faults. 8 Estimated No tier 3.1

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 26 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 26 of 26. 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 93% of the role's importance-weighted task work. 93% of the work is something AI can address at some tier, and 7% 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
296,810
Median annual wage
$104,110
Middle half of earners
$84,130 to $132,590
Projected change, 2024 to 2034
+9.1%

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 Fuel Cell Engineers and AI

Will AI replace Fuel Cell Engineers?

AI already handles 6 of the 26 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 53 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 +9.1% from 2024 to 2034.

What is the AI exposure of Fuel Cell Engineers?

53 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 26 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 26 are estimated from each task's O*NET work activity.

Which Fuel Cell Engineers tasks can AI already do?

The tasks with the highest exposure are: Calculate the efficiency or power output of a fuel cell system or process; Characterize component or fuel cell performances by generating operating maps, defining operating conditions, identifying design refinements, or executing durability assessments; Evaluate the power output, system cost, or environmental impact of new hydrogen or non-hydrogen fuel cell system designs. They are three of the 6 tasks that reach 60 or more.

What AI model tier does this role need?

A frontier-tier model or lower covers 93% 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 Fuel Cell Engineers, and what do they earn?

296,810 people in the United States, with a median annual wage of $104,110 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +9.1% 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: Fuel Cell Engineers. 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/fuel-cell-engineers

Have a team in this role?

Get your free 10-role sample. Send this role and up to nine others, with no employee data, and a founder sends a PDF in board-pack format within two business days.

A founder replies within one business day.