Mostly Resilient
Last Update: 6/19/2026
AI Resilience Score for Electronics Engineers:
59.7%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forElectronics Engineers, Except Computer
$127,590 median salary•5,700 annual openings•SOC Code: 17-2072.00
Electronics Engineers, Except Computer are somewhat more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Electronics engineering is labeled "Mostly Resilient" because AI is stepping in as a powerful helper rather than a replacement, taking over repetitive tasks like coding designs and running tests while human engineers stay in charge of the creative and judgment-heavy decisions. The work that AI still struggles with, like analog design, catching subtle dead ends, and making context-specific calls, requires exactly the kind of intuition and experience that only humans bring to the table.
Learn more about how you can thrive in this position
View analysis
Chat with Coach
Latest news
More career infoAnalysisChatNewsMoreLearn more about how you can thrive in this position
View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is mostly resilient
Electronics engineering is labeled "Mostly Resilient" because AI is stepping in as a powerful helper rather than a replacement, taking over repetitive tasks like coding designs and running tests while human engineers stay in charge of the creative and judgment-heavy decisions. The work that AI still struggles with, like analog design, catching subtle dead ends, and making context-specific calls, requires exactly the kind of intuition and experience that only humans bring to the table.
Read full analysisAnalysis of Current AI Resilience
Electronics Engineers
Updated Quarterly
How is AI changing Electronics Engineers jobs?
If you're worried about robots taking over electronics engineering, here's some good news: AI is mostly being used as a powerful assistant, not a replacement. The biggest changes are happening in Electronic Design Automation (EDA) software—the programs engineers already use to design chips and circuit boards. In early 2026, Cadence launched its "ChipStack AI Super Agent," which uses sub-agents to handle coding designs, running test benches, and debugging issues automatically [1], with Nvidia, Qualcomm, and Altera among the first to test it.
A startup called Verkor.io even pushed this further, using an agentic AI system to design a full RISC-V CPU core from just a 219-word prompt in 12 hours [2]—though the team admits LLMs still "lack the intuition a human can bring" and got stuck in dead ends a person would avoid. On the printed circuit board side, Siemens and Celus integrated AI to generate schematics from natural-language requirements [3], with the goal of removing busy work while engineers stay in the driver's seat. Semiconductor Engineering reports that AI is most likely to augment rather than replace designers [4], especially for creative, open-ended, and context-specific work like analog design.
Sources
How fast is AI adoption growing for Electronics Engineers?
Adoption is happening fast in this field for a few reasons. First, the tools are commercially available right now from the EDA giants (Cadence, Synopsys, Siemens), and vendors claim productivity gains of up to 10x in design and verification tasks [1]. Second, the semiconductor industry is booming—Deloitte's 2026 outlook projects chip industry growth accelerating to 26% in 2026, with annual sales reaching $2 trillion by 2036 [5], creating intense pressure to design more chips faster.
Third, there's a real talent shortage: experienced hardware engineers are retiring while new graduates often choose software, so small teams desperately need help. On the slower side, AI agents still make mistakes that need expert review, and companies are cautious about trusting unsupervised AI with safety-critical designs. The U.S. Bureau of Labor Statistics still projects employment of electrical and electronics engineers to grow 7% from 2024 to 2034, faster than the average for all occupations [6].
The bottom line for high schoolers: human judgment, creativity, and the ability to collaborate with AI tools are becoming the most valuable skills—so learning these tools now puts you ahead, not behind.
Sources
Will AI replace Electronics Engineers?
No. We don't think AI will replace Electronics Engineers, Except Computer, though we do expect the job to change.
AI is already reshaping the day-to-day work. Tools from companies like Cadence and Siemens can now generate schematics from plain-language descriptions and automate tedious verification tasks (blogs.sw.siemens.com, theregister.com). One startup even used an AI agent to design a full CPU core from a short prompt in 12 hours [2]. That sounds alarming, but the engineers involved were quick to point out that the AI still lacked the intuition a human brings and got stuck in dead ends a person would avoid.
That gap is exactly why we gave this career a 59.7% AI Resilience Score. The creative, judgment-heavy parts of the job, like analog design, safety-critical decisions, and reading a client's real-world constraints, still need a human in the loop. Semiconductor Engineering agrees that AI is more likely to augment designers than replace them [4].
The economic picture also holds up. The chip industry is projected to reach $2 trillion in annual sales by 2036 [5], and the BLS projects 7% employment growth for this field through 2034 [6]. Engineers who learn to work alongside these tools will be in a strong position, not a threatened one.
Sources
Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Latest AI news for Electronics Engineers
These articles highlight the growing intersection of AI and electronics engineering, emphasizing the need for energy-efficient computing solutions. For instance, advancements in light-powered computers could significantly reduce energy consumption in AI applications, a crucial area for electronics engineers. Additionally, the demand for skilled workers in AI-related chip manufacturing presents lucrative opportunities, with potential six-figure salaries. By embracing these developments, future electronics engineers can build resilience in their careers, positioning themselves at the forefront of this evolving industry.
Top College Degrees That Can Lead to the Highest-Paying AI Jobs in 2026
www.investopedia.com • 6/16/2026
If you want to land a high-paying job in artificial intelligence, aim to grow your math and computer science skills—they matter more than...
A top Anthropic engineer warns AI agents will transform every computer-based job in America — and it will be 'painful'
www.businessinsider.com • 2/22/2026
Claude Code's creator said Anthropic's AI tool can use a computer like a human, and people are just starting to get a sense of its power.
Q&A: Could light-powered computers reduce AI’s energy use?
www.psu.edu • 2/11/2026
Associate Professor of Electrical Engineering Xingjie Ni and his team recently developed a prototype device that can accelerate and...
Nvidia's Huang says AI boom will create 'six-figure salaries' for those building chip factories
www.cnbc.com • 1/22/2026
"We're talking about six-figure salaries for people who are building chip factories or computer factories or AI factories," Nvidia's Jensen...
How Can Computing for AI and Other Demands Be More Energy Efficient?
viterbischool.usc.edu • 4/28/2025
The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models.
More Career Info
Career: Electronics Engineers, Except Computer
They design and create electronic devices and systems, like radios and smartphones, making sure they work safely and efficiently.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$127,590
Jobs (2024)
95,900
Growth (2024-34)
+6.2%
Annual Openings
5,700
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Develop solar photovoltaic products, such as inverters or energy management systems.
2
Direct or coordinate activities concerned with manufacture, construction, installation, maintenance, operation, or modification of electronic equipment, products, or systems.
3
Confer with engineers, customers, vendors, or others to discuss existing or potential electronics engineering projects or products.
4
Develop or perform operational, maintenance, or testing procedures for electronic products, components, equipment, or systems.
5
Research or develop new green electronics technologies, such as lighting, optical data storage devices, or energy efficient televisions.
6
Plan or develop applications or modifications for electronic properties used in components, products, or systems to improve technical performance.
7
Investigate green consumer electronics applications for consumer electronic devices, power saving devices for computers or televisions, or energy efficient power chargers.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
