Which job is safer from AI: Photonics Engineers or Automotive Engineers?

Automotive Engineers is safer from AI based on ReplacedByAI risk scores. Photonics Engineers has an AI replacement risk score of 51/100 (Medium), while Automotive Engineers has a score of 48/100 (Medium).

What is Photonics Engineers's AI replacement risk?

Photonics Engineers has an AI replacement risk score of 51/100, which ReplacedByAI classifies as medium risk. Moderate risk: AI can reshape important parts of the role.

What is Automotive Engineers's AI replacement risk?

Automotive Engineers has an AI replacement risk score of 48/100, which ReplacedByAI classifies as medium risk. Moderate risk: AI can reshape important parts of the role.

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AI Risk Comparison

Photonics Engineers vs Automotive Engineers

Compare AI replacement risk, automatable work, resilient skills, and potential career pivots for both occupations.

Safer role

Automotive Engineers

Higher risk

Photonics Engineers

Risk gap

3 points

Engineering & ArchitectureO*NET: 17-2199.07

Photonics Engineers

Design technologies specializing in light information or light energy, such as laser or fiber optics technology.

AI Risk Score

51/100

Medium

Moderate risk: AI can reshape important parts of the role.

Automation factors

Develop optical or imaging systems, such as optical imaging products, optical components, image processes, signal process technologies, or optical systems.
Develop or test photonic prototypes or models.
Assist in the transition of photonic prototypes to production.
Working with Computers
Analyzing Data or Information

Top skills

Critical Thinking4.00/5

Reading Comprehension3.88/5

Writing3.88/5

Active Listening3.75/5

Speaking3.62/5

Recommended career pivots

Photonics Technicians61/100 Microsystems Engineers44/100 Electronics Engineers, Except Computer51/100 Computer Hardware Engineers45/100 Electrical and Electronic Engineering Technologists and Technicians86/100

Engineering & ArchitectureO*NET: 17-2141.02

Automotive Engineers

Develop new or improved designs for vehicle structural members, engines, transmissions, or other vehicle systems, using computer-assisted design technology. Direct building, modification, or testing of vehicle or components.

AI Risk Score

48/100

Medium

Moderate risk: AI can reshape important parts of the role.

Automation factors

Calibrate vehicle systems, including control algorithms or other software systems.
Research or implement green automotive technologies involving alternative fuels, electric or hybrid cars, or lighter or more fuel-efficient vehicles.
Develop calibration methodologies, test methodologies, or tools.
Working with Computers
Analyzing Data or Information

Top skills

Critical Thinking4.12/5

Complex Problem Solving4.12/5

Reading Comprehension4.00/5

Writing3.88/5

Speaking3.88/5

Recommended career pivots

Mechanical Engineers47/100 Manufacturing Engineers46/100 Industrial Engineers43/100 Aerospace Engineers45/100 Electronics Engineers, Except Computer51/100

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