In a Design News article, Perry Parendo examines the popular question of whether artificial intelligence will replace engineers. The short answer, based on the nature of engineering work, is no: engineering’s core functions rely on human judgment, real-world problem solving, and communication, areas where AI still falls short.
Parendo breaks engineering work into key categories such as design, manufacturing, consulting, and regulation, and shows that each involves far more than repetitive calculations or data handling. In design, engineers balance multiple competing requirements, make decisions based on incomplete data, and adapt when things go wrong. These judgment calls and creative adaptations, he argues, can’t be off-loaded to AI because real problems rarely map neatly to existing patterns. AI might offer initial ideas or summaries, but humans must interpret, verify, and apply them.
In manufacturing, engineers integrate equipment and processes in unique contexts and must solve unexpected challenges on the ground. That often involves interpersonal communication and coordination with teams—a human strength in which AI has no real foothold. Consulting roles, likewise, hinge on skills that include negotiation, interpretation of human requirements, and articulation of complex solutions to varied stakeholders. Parendo’s view is that even when AI tools assist with analysis or generate hypotheses, engineers remain essential because they provide context, risk assessment, and direction.
This perspective aligns with broader industry conversations about AI’s role. Across engineering disciplines, AI is seen as a tool that increases efficiency and expands capabilities rather than a replacement. For example, recent interviews with technology leaders emphasize that AI augments engineering work, freeing professionals from routine tasks so they can focus on creativity and higher-order thinking. Meanwhile, research shows engineers must adapt by gaining skills in framing problems, critical evaluation, and systems thinking—abilities that distinguish human experts from automated systems.
Ultimately, the article presents a nuanced view: AI will change engineering roles and workflows, but engineering as a profession persists because it depends on human reasoning, collaboration, and judgment.