"AI in CAD" gets talked about a lot, but the conversations we have with engineering teams tend to be more specific: what does it actually do differently, where does it genuinely save time, and where is the hype ahead of the reality? Having worked with manufacturers rolling out AI-assisted design tools, here's our take on what's real, what to expect, and what needs sorting out first.
AI is reshaping the role of CAD, from the tool used to create designs into a system that actively supports engineering decision-making.
Rather than simply modelling geometry, modern CAD platforms are evolving into intelligent environments that help engineers work faster, reduce errors, and explore more possibilities. This shift marks the beginning of a new phase in digital engineering.
AI is attracting enormous attention across manufacturing and industrial sectors. But successful adoption doesn’t start with algorithms. It begins with putting the right groundwork in place.
For organisations working with industrial IoT and connected products, AI delivers the most value when it builds on a solid digital and data foundation. Without that, even the most advanced models struggle to produce meaningful results.
Below are the key elements that need to be in place before AI can deliver real business impact.