Will AI replace Photonics Engineers?
AI reaches some of this job’s work, but most of it stays with people.
31/100
Moderate exposure
More exposed to AI than 47% of US workers.
- AI already used in
- 8% of the work
- As AI tools mature: up to
- 47% of the work
What the job involves
Design technologies specializing in light information or light energy, such as laser or fiber optics technology.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(2)
- Read current literature, talk with colleagues, continue education, or participate in professional organizations or conferences to keep abreast of developments in the field.
- Analyze system performance or operational requirements.
Within reach(9)
- Write reports or proposals related to photonics research or development projects.
- Determine applications of photonics appropriate to meet product objectives or features.
- Assist in the transition of photonic prototypes to production.
- Conduct research on new photonics technologies.
- Document photonics system or component design processes, including objectives, issues, or outcomes.
and 4 more
Out of reach(15)
- Develop or test photonic prototypes or models.
- Design, integrate, or test photonics systems or components.
- Develop optical or imaging systems, such as optical imaging products, optical components, image processes, signal process technologies, or optical systems.
- Conduct testing to determine functionality or optimization or to establish limits of photonics systems or components.
- Train operators, engineers, or other personnel.
and 10 more
Also called
Laser Engineer · Optical Engineer · Optical Design Engineer · Optical Systems Engineer · Optoelectronics Engineer · Engineer · Algorithm Developer · Optical Specialist
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics