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AI exposure report

Will AI replace Computer Hardware Engineers?

Some of your tasks will be automated. People who use AI will have the edge.

Task exposure to today's AI

33/100

Moderate exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Computer Hardware Engineers?

Not entirely. Today's AI tools can take on about 33% of the typical work in this occupation, mostly: write detailed functional specifications that document the hardware development process and support hardware introduction. The parts that stay human include: Design and develop computer hardware and support peripherals, including central processing units (CPUs), support logic, microprocessors, custom integrated circuits, and printers and disk drives.; Build, test, and modify product prototypes, using working models or theoretical models constructed with computer simulation.; Confer with engineering staff and consult specifications to evaluate interface between hardware and software and operational and performance requirements of overall system..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable
Write detailed functional specifications that document the hardware development process and support hardware introduction.AI already used 75%
Test and verify hardware and support peripherals to ensure that they meet specifications and requirements, by recording and analyzing test data. 25%
Design and develop computer hardware and support peripherals, including central processing units (CPUs), support logic, microprocessors, custom integrated circuits, and printers and disk drives. 23%
Build, test, and modify product prototypes, using working models or theoretical models constructed with computer simulation. 23%
Confer with engineering staff and consult specifications to evaluate interface between hardware and software and operational and performance requirements of overall system. 23%
Provide technical support to designers, marketing and sales departments, suppliers, engineers and other team members throughout the product development and implementation process. 23%

+ 12 more tasks (31% of the week) in the full test.

Your human edge

  • Design and develop computer hardware and support peripherals, including central processing units (CPUs), support logic, microprocessors, custom integrated circuits, and printers and disk drives.
  • Build, test, and modify product prototypes, using working models or theoretical models constructed with computer simulation.
  • Confer with engineering staff and consult specifications to evaluate interface between hardware and software and operational and performance requirements of overall system.

AI tools to try

ChatGPT / Claude for calculations, specs and reportsAI features in CAD/BIM toolsCopilot for scripts (Python, MATLAB, Dynamo)

Related roles

A 3-phase AI learning plan

Phase 1

AI for documentation

  • Specifications, reports and change notes drafted with AI.
  • Standards and regulations searched with AI, checked in the source.
  • Meeting notes and RFIs summarised.

Project

Draft a full functional specification and ECO change notes for one board-level subsystem with AI, then verify every cited standard clause in the source and log hours saved versus your last spec.

Phase 2

AI in design work

  • Scripts and parametric design written with AI help.
  • Option studies and quick estimates with AI as a sparring partner.
  • Check AI outputs against calculations and codes.

Project

Use AI to write a Python/TCL script that sweeps three DDR routing or power-rail options, and compare its timing and thermal estimates against your hand calculations and the datasheet limits.

Phase 3

Engineering + AI

  • Data from sensors, tests or simulations analysed with AI.
  • Define where AI is not allowed (safety-critical sign-off).
  • Share methods and templates with your team.

Project

Analyse one prototype's bench and simulation logs with AI to find failure correlations, then publish a one-page team template stating which sign-off steps must stay human-verified.
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