Will AI replace Computer Hardware Engineers?

AI can do 27% of the work Computer Hardware Engineers do at least twice as fast. People already use it for 4 of their 18 tasks, while 4 more are ready but barely used so far. Robots can technically handle 3 physical tasks. 7 still need a person.

AI is already doing this4 · 14% of time

People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.

  • Write detailed functional specifications that document the hardware development process and support hardware introduction.Mostly automated8% of time
  • Analyze user needs and recommend appropriate hardware.Mostly automated3% of time
  • Store, retrieve, and manipulate data for analysis of system capabilities and requirements.Mostly automated3% of time
  • Analyze information to determine, recommend, and plan layout, including type of computers and peripheral equipment modifications.Mostly automated1% of time

AI could do this next4 · 13% of time

AI can speed these up by at least half, but real use has not caught up yet. These are next in line.

  • Update knowledge and skills to keep up with rapid advancements in computer technology.5% of time
  • Select hardware and material, assuring compliance with specifications and product requirements.4% of time
  • Specify power supply requirements and configuration, drawing on system performance expectations and design specifications.3% of time
  • Evaluate factors such as reporting formats required, cost constraints, and need for security restrictions to determine hardware configuration.1% of time

Robots can technically do this3 · 27% of time

Physical tasks that today's robots can perform in at least some settings. Robots are cost competitive for very few tasks so far, so this change moves slower.

  • Build, test, and modify product prototypes, using working models or theoretical models constructed with computer simulation.Robots: purpose built settings13% of time
  • Test and verify hardware and support peripherals to ensure that they meet specifications and requirements, by recording and analyzing test data.Robots: purpose built settings11% of time
  • Assemble and modify existing pieces of equipment to meet special needs.Robots: purpose built settings3% of time

Still needs a person7 · 47% of time

No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.

  • Design and develop computer hardware and support peripherals, including central processing units (CPUs), support logic, microprocessors, custom integrated circuits, and printers and disk drives.20% of time
  • Confer with engineering staff and consult specifications to evaluate interface between hardware and software and operational and performance requirements of overall system.11% of time
  • Provide technical support to designers, marketing and sales departments, suppliers, engineers and other team members throughout the product development and implementation process.6% of time
  • Direct technicians, engineering designers or other technical support personnel as needed.4% of time
  • Monitor functioning of equipment and make necessary modifications to ensure system operates in conformance with specifications.3% of time
  • Provide training and support to system designers and users.3% of time
  • Recommend purchase of equipment to control dust, temperature, and humidity in area of system installation.under 1% of time

Your week is not the average

Describe what you actually do and get a personal report: your own tasks, what AI can already do, what stays yours and a 90 day plan.

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What this means

AI can speed up parts of this job, mostly the paperwork and information work around it. The core still depends on hands, presence or relationships. Robots are the other change to watch: they can technically do 27% of the working time.

What to do next

  • Do the 4 tasks AI is already handling with AI yourself. Your peers already are, and it is quickly becoming the baseline.
  • Get ahead on the 4 tasks AI could do next. These move as tools improve, so learning them early pays off.
  • Keep an eye on the 3 physical tasks robots can technically do. Cost keeps most robots out of work today, so this shift is slower.
  • Build on the 7 tasks that stay human. This is where your judgment, skill and relationships matter most.
Photonics Engineers38%Mechanical Engineers45%Materials Engineers53%Civil Engineers55%Electrical Engineers55%Mechatronics Engineers57%

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