GoKawiilIEEE Spectrum op-ed: engineers report pressure from AI-inflated expectations
A former team member writing for IEEE Spectrum's careers newsletter describes leadership comparing engineers unfavorably to ChatGPT and weekend-built apps during 2024-2025, as Claude and ChatGPT adoption surged. The author argues AI demos create a false impression that software work is simple, leading some executives to question the need for full engineering teams, while ignoring legacy systems, legal and accessibility requirements, and deployment complexity.
GoKawiil's interpretation of the reporting above, not reported fact.
The account suggests that generative AI's polished demos can distort managers' perception of engineering effort, potentially fueling layoffs or restructuring based on unrealistic comparisons. The author's advice—for engineers to deeply understand AI models themselves—implies this knowledge gap could become a differentiator in how engineers defend their value to leadership. This reflects a broader tension in tech workplaces between AI hype and the underlying complexity of real software systems.
- Author describes leadership directly comparing engineers to ChatGPT's speed during 2024-2025 AI adoption surge.
- Working AI demos can mask real-world complexities like legacy code, legal compliance, and deployment.
- Author advises engineers to deeply learn how AI models work to better communicate their value.
Source: spectrum.ieee.org — Brian Jenney, 2026-10-22
Published there as: “Why AI Can’t Replace Engineering Teams”
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