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AI exposure report

Will AI replace Photonics Engineers?

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

Task exposure to today's AI

37/100

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 Photonics Engineers?

Not entirely. Today's AI tools can take on about 37% of the typical work in this occupation, mostly: document photonics system or component design processes, including objectives, issues, or outcomes. The parts that stay human include: Design, integrate, or test photonics systems or components.; Develop or test photonic prototypes or models.; Conduct testing to determine functionality or optimization or to establish limits of photonics systems or components..

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
Document photonics system or component design processes, including objectives, issues, or outcomes. 78%
Analyze system performance or operational requirements.AI already used 53%
Develop optical or imaging systems, such as optical imaging products, optical components, image processes, signal process technologies, or optical systems. 28%
Design, integrate, or test photonics systems or components. 23%
Conduct testing to determine functionality or optimization or to establish limits of photonics systems or components. 20%
Develop or test photonic prototypes or models. 17%

+ 20 more tasks (50% of the week) in the full test.

Your human edge

  • Design, integrate, or test photonics systems or components.
  • Develop or test photonic prototypes or models.
  • Conduct testing to determine functionality or optimization or to establish limits of photonics systems or components.

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 optical component specification and test report for one past subsystem with AI, verify every tolerance and standard clause against the source, and log hours saved versus your last manual version.

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 parametric ray-trace or FDTD sweep script for one lens or waveguide design, compare at least 3 design options, and validate the AI's predictions against hand calculations.

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

Use AI to analyse one week of photodetector or interferometer test data for drift and outliers, benchmark it against your manual analysis, and publish a team template plus a no-AI sign-off rule.
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