Artificial intelligence is transforming product development faster than any technology since the introduction of 3D CAD. In just a few years, AI has evolved from answering engineering questions to writing code, generating CAD models, and assisting engineers throughout the design process. But despite the excitement surrounding text-to-CAD, creating geometry is only the first step. Engineering has never been about geometry alone - it is about capturing, understanding, and evolving engineering intent.

This session explores the next generation of AI-driven engineering, where intelligent agents move beyond creating shapes to understanding design intent, manufacturing requirements, simulation results, company standards, and product data. We'll separate hype from reality, examine where AI is delivering measurable value today, and discuss why the future belongs to AI that works within the engineering process - not around it.

Attendees will gain a practical understanding of the technologies driving this transformation, including large language models (LLMs), retrieval-augmented generation (RAG), engineering agents, code generation, and model-aware AI. We'll explore why editable, parametric models remain the foundation of engineering, how AI is becoming a collaborative engineering partner rather than a replacement for designers, and why engineering context is rapidly becoming AI's greatest competitive advantage.

Finally, we'll look ahead to a future where AI doesn't simply generate CAD, rather it creates reusable engineering knowledge, automates complex design tasks, learns from existing products, and accelerates innovation while keeping engineers firmly in control. As AI becomes embedded within cloud-native engineering platforms, organizations will unlock new levels of productivity, collaboration, traceability, and design intelligence that standalone AI tools simply cannot achieve.

Whether you're evaluating today's AI tools or building a long-term digital engineering strategy, you'll leave with a practical framework for understanding where AI creates value today, where it's headed next, and why the future of engineering isn't text-to-product - it's AI accelerating engineers within the engineering system of record.

Attendee Takeaways

• Understand the evolution from text-to-CAD to AI-driven engineering.
• Learn where today's AI delivers real engineering value - and where it falls short.
• Discover how engineering agents, code generation, and model-aware AI are reshaping product development.
• Understand why engineering intent, editable parametric models, and product context are essential for trustworthy AI.
• See why cloud-native engineering platforms are enabling the next generation of AI-powered product development.