AI exposure by occupation, O*NET 17-2199.06

Will AI replace Microsystems Engineers?

Microsystems Engineers: AI can already handle 10 of 31 tasks; the work mostly needs a frontier-tier model.

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Every task, scored

The 31 tasks O*NET 30.3 lists for Microsystems Engineers, from most to least exposed. 10 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Conduct experimental or virtual studies to investigate characteristics and processing principles of potential microelectromechanical systems (MEMS) technology. 75 Estimated Efficient 3.6
Conduct analyses addressing issues such as failure, reliability, or yield improvement. 75 Estimated Standard 3.5
Devise microelectromechanical systems (MEMS) production methods, such as integrated circuit fabrication, lithographic electroform modeling, or micromachining. 75 Estimated Frontier 3.5
Validate fabrication processes for microelectromechanical systems (MEMS), using statistical process control implementation, virtual process simulations, data mining, or life testing. 75 Estimated Standard 3.5
Demonstrate miniaturized systems that contain components, such as microsensors, microactuators, or integrated electronic circuits, fabricated on silicon or silicon carbide wafers. 75 Estimated Standard 3.4
Manage new product introduction projects to ensure effective deployment of microelectromechanical systems (MEMS) devices or applications. 75 Estimated Frontier 3.3
Oversee operation of microelectromechanical systems (MEMS) fabrication or assembly equipment, such as handling, singulation, assembly, wire-bonding, soldering, or package sealing. 75 Estimated Efficient 3.0
Evaluate materials, fabrication methods, joining methods, surface treatments, or packaging to ensure acceptable processing, performance, cost, sustainability, or availability. 65 Estimated Efficient 3.9
Conduct acceptance tests, vendor-qualification protocols, surveys, audits, corrective-action reviews, or performance monitoring of incoming materials or components to ensure conformance to specifications. 65 Estimated Standard 3.3
Create or maintain formal engineering documents, such as schematics, bills of materials, components or materials specifications, or packaging requirements. 65 Observed Efficient 3.7
Refine final microelectromechanical systems (MEMS) design to optimize design for target dimensions, physical tolerances, or processing constraints. 50 Estimated Frontier 3.9
Investigate characteristics such as cost, performance, or process capability of potential microelectromechanical systems (MEMS) device designs, using simulation or modeling software. 50 Estimated Frontier 3.9
Develop or file intellectual property and patent disclosure or application documents related to microelectromechanical systems (MEMS) devices, products, or systems. 50 Estimated Efficient 3.8
Conduct or oversee the conduct of prototype development or microfabrication activities to ensure compliance to specifications and promote effective production processes. 50 Estimated Frontier 3.7
Plan or schedule engineering research or development projects involving microelectromechanical systems (MEMS) technology. 50 Estimated Frontier 3.5
Develop or validate specialized materials characterization procedures, such as thermal withstand, fatigue, notch sensitivity, abrasion, or hardness tests. 50 Estimated Standard 3.5
Propose product designs involving microelectromechanical systems (MEMS) technology, considering market data or customer requirements. 50 Estimated Efficient 3.5
Develop formal documentation for microelectromechanical systems (MEMS) devices, including quality assurance guidance, quality control protocols, process control checklists, data collection, or reporting. 50 Estimated Efficient 3.4
Develop or implement microelectromechanical systems (MEMS) processing tools, fixtures, gages, dies, molds, or trays. 50 Estimated Frontier 3.2
Communicate operating characteristics or performance experience to other engineers or designers for training or new product development purposes. 50 Estimated Standard 3.2
Identify, procure, or develop test equipment, instrumentation, or facilities for characterization of microelectromechanical systems (MEMS) applications. 50 Estimated Frontier 3.1
Develop or validate product-specific test protocols, acceptance thresholds, or inspection tools for quality control testing or performance measurement. 50 Estimated Frontier 3.1
Consider environmental issues when proposing product designs involving microelectromechanical systems (MEMS) technology. 50 Estimated Efficient 3.0
Design or develop energy products using nanomaterials or nanoprocesses, such as micro-nano machining. 50 Estimated Frontier 3.0
Design or develop industrial air quality microsystems, such as carbon dioxide fixing devices. 50 Estimated Frontier 3.0
Design or develop sensors to reduce the energy or resource requirements to operate appliances, such as washing machines or dishwashing machines. 50 Estimated Frontier 3.0
Design sensors or switches that require little or no power to operate for environmental monitoring or industrial metering applications. 50 Estimated Frontier 3.0
Research or develop emerging microelectromechanical (MEMS) systems to convert nontraditional energy sources into power, such as ambient energy harvesters that convert environmental vibrations into usable energy. 50 Estimated Frontier 3.0
Develop customer documentation, such as performance specifications, training manuals, or operating instructions. 40 Observed Efficient 3.2
Create schematics and physical layouts of integrated microelectromechanical systems (MEMS) components or packaged assemblies consistent with process, functional, or package constraints. 35 Estimated Standard 4.0
Conduct harsh environmental testing, accelerated aging, device characterization, or field trials to validate devices, using inspection tools, testing protocols, peripheral instrumentation, or modeling and simulation software. 20 Estimated Efficient 3.9

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 2 of 31 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 29 of 31. 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 100% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.

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
154,070
Median annual wage
$122,930
Middle half of earners
$90,970 to $158,090
Projected change, 2024 to 2034
+2.1%

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 Microsystems Engineers and AI

Will AI replace Microsystems Engineers?

AI already handles 10 of the 31 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 55 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 +2.1% from 2024 to 2034.

What is the AI exposure of Microsystems Engineers?

55 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. 2 of the 31 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 29 are estimated from each task's O*NET work activity.

Which Microsystems Engineers tasks can AI already do?

The tasks with the highest exposure are: Conduct experimental or virtual studies to investigate characteristics and processing principles of potential microelectromechanical systems (MEMS) technology; Conduct analyses addressing issues such as failure, reliability, or yield improvement; Devise microelectromechanical systems (MEMS) production methods, such as integrated circuit fabrication, lithographic electroform modeling, or micromachining. They are three of the 10 tasks that reach 60 or more.

What AI model tier does this role need?

A frontier-tier model or lower covers 100% 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 Microsystems Engineers, and what do they earn?

154,070 people in the United States, with a median annual wage of $122,930 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +2.1% 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: Microsystems 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/microsystems-engineers

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