Photonics Engineers

Photonics Engineers score 48 out of 100, which is elevated exposure to AI. That ranks #289 of 923 US occupations, where #1 is the most exposed. Of the 26 tasks in this job, AI could speed up 6 on its own and 14 more with extra software built on top of it. In April–May 2026, 2 of these tasks showed up in real conversations with Claude, Anthropic's AI assistant.

48/ 100

Elevated

Rank: #289of 923 jobs
US workers: 154,070for Engineers, All Other
Median pay: $122,930a year
In real AI use: 2 of 26tasks, April–May 2026

Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

AI can speed this up on its own: 6 (23%)
AI can speed this up with extra software: 14 (54%)
Little or no AI speed-up: 6 (23%)

Write reports or proposals related to photonics research or development projects.AI can speed this up on its own · core task · Seen in real AI use
Document photonics system or component design processes, including objectives, issues, or outcomes.AI can speed this up on its own · core task
Create or maintain photonic design histories.AI can speed this up on its own · core task
Design or redesign optical fibers to minimize energy loss.AI can speed this up on its own · supplemental task
Design or develop new crystals for photonics applications.AI can speed this up on its own · supplemental task
Design laser machining equipment for purposes such as high-speed ablation.AI can speed this up on its own · supplemental task
Analyze system performance or operational requirements.AI can speed this up with extra software · core task · Seen in real AI use
Develop optical or imaging systems, such as optical imaging products, optical components, image processes, signal process technologies, or optical systems.AI can speed this up with extra software · core task
Assist in the transition of photonic prototypes to production.AI can speed this up with extra software · core task
Read current literature, talk with colleagues, continue education, or participate in professional organizations or conferences to keep abreast of developments in the field.AI can speed this up with extra software · core task
Conduct testing to determine functionality or optimization or to establish limits of photonics systems or components.AI can speed this up with extra software · core task
Determine applications of photonics appropriate to meet product objectives or features.AI can speed this up with extra software · core task
Conduct research on new photonics technologies.AI can speed this up with extra software · core task
Design electro-optical sensing or imaging systems.AI can speed this up with extra software · core task
Design photonics products, such as light sources, displays, or photovoltaics, to achieve increased energy efficiency.AI can speed this up with extra software · core task
Design gas lasers, solid state lasers, infrared, or other light emitting or light sensitive devices.AI can speed this up with extra software · core task
Determine commercial, industrial, scientific, or other uses for electro-optical applications or devices.AI can speed this up with extra software · core task
Design solar energy photonics or other materials or devices to generate energy.AI can speed this up with extra software · supplemental task
Develop photonics sensing or manufacturing technologies to improve the efficiency of manufacturing or related processes.AI can speed this up with extra software · supplemental task
Develop laser-processed designs, such as laser-cut medical devices.AI can speed this up with extra software · supplemental task
Develop or test photonic prototypes or models.Little or no AI speed-up · core task
Design, integrate, or test photonics systems or components.Little or no AI speed-up · core task
Train operators, engineers, or other personnel.Little or no AI speed-up · core task
Analyze, fabricate, or test fiber-optic links.Little or no AI speed-up · core task
Oversee or provide expertise on manufacturing, assembly, or fabrication processes.Little or no AI speed-up · core task
Select, purchase, set up, operate, or troubleshoot state-of-the-art laser cutting equipment.Little or no AI speed-up · supplemental task

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Questions about photonics engineers and AI

Will AI replace photonics engineers?

Not entirely. Parts of the job are likely to change as AI takes over routine tasks. Photonics Engineers score 48 out of 100 (elevated exposure), #289 of 923 US jobs. AI could speed up 20 of the job's 26 tasks, 6 of them on its own, while 6 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.

Which photonics engineers tasks can AI do?

The most exposed tasks include "Write reports or proposals related to photonics research or development projects"; "Document photonics system or component design processes, including objectives, issues, or outcomes"; "Create or maintain photonic design histories".

Which photonics engineers tasks are hardest for AI?

Tasks with little or no AI speed-up include "Develop or test photonic prototypes or models"; "Design, integrate, or test photonics systems or components"; "Train operators, engineers, or other personnel".

Are people already using AI for this work?

Yes. In April–May 2026, 2 of the 26 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.

How many people work as photonics engineers, and what do they earn?

About 154,070 people in the US (figure for Engineers, All Other), with median pay of $122,930 a year (BLS, May 2025).

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.

Photonics Engineers

Task by task

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Questions about photonics engineers and AI

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