Design and Simulation Week 2026 addresses the practical deployment of AI in engineering workflows, moving beyond feature announcements toward real implementation challenges
- The event targets engineers skeptical of marketing claims and hungry for technical specifics
- * Four-session agenda runs June 8-12, 2026, noon EDT daily, hosted online by Engineering
Engineering.com's third annual Design and Simulation Week runs June 8-12, 2026, and this year's lineup leans heavily into AI integration across the engineering software stack. The event, hosted entirely online, targets practicing engineers wondering where AI capabilities actually landed in their CAD, CAM, CFD, and EDA tools.
The week opens June 8 at 12:00 PM EDT with senior editor Michael Alba walking through the current AI application landscape. Alba plans to map where AI features now appear across major engineering software categories and flag what remains vaporware versus shipping functionality. Attendees will see working examples, not slideshows of future roadmaps.
The more technically substantial session hits June 9, also 12:00 PM EDT, when SimScale VP of Product Jon Wilde and CoLab Software Co-Founder and CTO Jeremy Andrews co-present on agentic engineering workflows. Their session tackles the gap between AI assistants that help individual engineers and autonomous agents capable of coordinating tasks across engineering systems without humans in every loop.
Wilde and Andrews will break down the architectural components that make agentic workflows work: agent task orchestration, cross-system triggering, simulation management autonomy, output routing logic, and iterative learning mechanisms. The session includes a live demo connecting SimScale and CoLab agents operating across organizational boundaries.
Session details for June 10-12 remain light in the promotional materials, but the agenda lists sessions on multiphysics combined with AI, AI optimization in actual production workflows, and a closing look at the Physical AI concept. I suspect attendees will need to register to learn specifics.
The AI-as-copilot metaphor dominated last year's conversations. This year's programming suggests the industry is trying to move past the assistant model toward something more autonomous. Whether that shift actually works at scale remains the open question Wilde and Andrews will need to address with evidence, not enthusiasm.
Registration is open on Engineering.com. Sessions stream live with recordings typically available within 48 hours for registered attendees who cannot attend live.
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M4S TAKE
My take: AI claims need scrutiny. The useful implementations reduce cycle time or defect rates in measurable ways. Vague promises about 'optimization' without specific metrics are usually marketing.
Simon McLoughlin
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