What we know

OpenAI says its AI models, including ChatGPT and Codex, are being used to speed up engineering tasks such as computer-aided design (CAD), printed circuit board (PCB) design, and simulation workflows. These tools aim to help engineers work more efficiently across various physical-world engineering processes. No independent data confirms how widely these models are adopted or the extent of their impact in these fields.

Why it matters

If effective, AI models like ChatGPT and Codex could transform engineering by automating complex design and simulation tasks, potentially reducing time and effort required for product development. This could accelerate innovation and lower costs in industries reliant on physical engineering. However, without independent validation or detailed case studies, the real-world benefits remain uncertain.

What is still unknown

There is no independent testing of the accuracy or reliability of ChatGPT and Codex in engineering applications. The range of supported languages and the timeline for broader availability have not been disclosed. Details on integration with existing engineering software and measurable improvements in workflow efficiency are also missing.