Artificial intelligence is unlikely to replace electrical engineers because much of engineering depends on experience, judgment, accountability, and the ability to balance competing requirements. Instead, AI could address a different problem: engineers spend too much of their working time on repetitive tasks rather than solving technical challenges, tells Design News.
Research involving more than 1,200 electrical engineering professionals across 40 countries illustrates the problem. More than half of respondents said they spend most of their time creating schematics. Nearly three-quarters identified component searches and documentation maintenance as major productivity demands, while half reported insufficient time for innovation.
Tasks such as searching for components, updating documentation, checking data consistency, managing revisions, and retrieving information from previous projects remain necessary. Yet they can consume time that experienced engineers could devote to evaluating trade-offs, optimizing designs, addressing customer requirements, and developing new solutions.
AI-native engineering environments could reduce this burden by going beyond simple assistants. Systems that understand project context, engineering rules, and relationships among components could locate existing knowledge, recommend solutions, detect inconsistencies, and automate documentation throughout a project.
AI could also help manufacturers preserve institutional knowledge as experienced engineers retire. Important design decisions, troubleshooting methods, and best practices are often scattered across notebooks, shared folders, and individual memories. Capturing this information in accessible engineering systems could improve consistency and help younger engineers learn faster.
For early-career engineers, AI can serve as a learning tool for exploring design standards and alternative approaches. However, engineers still need to question recommendations and validate outputs against engineering principles.
Engineering involves more than generating drawings and documents. Engineers must manage risk, understand customer needs, make trade-offs, and take responsibility for decisions. AI can automate work surrounding those responsibilities, but it cannot assume them. Used effectively, the technology could give engineers more time for problem-solving, innovation, collaboration, and mentoring.
