AI in CAD software: what's real and what's a slide deck

I watched an AI demo at Autodesk University last year where somebody typed a sentence into Fusion 360 and a 3D model appeared. It looked like a kitchen appliance. The geometry was clean, the surfaces were reasonable, and the crowd made a small appreciative noise, the kind people make when magic tricks work. I wrote down the feature name and went looking for it the next day in my actual copy of Fusion. It wasn't there. The feature was still in development. The demo was real, the timeline was not, and I'd spent twenty minutes poking around the interface like a person trying to find a restaurant that closed last year.

AI in CAD software is real, but the distance between what gets demoed on stage and what shows up in your installed copy is still measured in quarters, sometimes years. As of early 2026, every major CAD vendor has announced, previewed, or shipped something with AI in the name. Some of it works. Some of it is useful. Some of it is a press release with a roadmap attached. The trick is knowing which is which before you reorganize your workflow around a feature that doesn't exist outside a conference hall.

If you want the full picture of how text-to-CAD fits into this, the text-to-CAD guide covers the dedicated tools. This post is about what the big vendors are doing inside their own platforms, where the hype stops, and where the useful parts begin.

Four types of AI showing up in CAD#

Before going vendor by vendor, it helps to name the categories, because "AI in CAD" has become a bucket that holds very different things.

The first is text-to-geometry generation: you type a description, the software builds a 3D model. This is the flashiest, the most demo-friendly, and the least mature. Autodesk's Neural CAD is the most visible example from a major vendor. The best text-to-CAD tools post covers the dedicated startups doing this too.

The second is the copilot or assistant pattern. This is an AI chatbot built into the CAD interface that answers questions, troubleshoots errors, explains features, or executes commands from natural language. Onshape AI Advisor, Creo AI Assistant, Siemens Design Copilot, and Autodesk Assistant all fit here. The AI CAD copilots piece goes deeper on this pattern.

The third is generative design, which is older and more established than the other categories. You define constraints, loads, materials, and manufacturing methods, and the software generates optimized shapes that a human would not have drawn. Autodesk and PTC both ship mature tools here. This is not new, but vendors now call it AI because the branding is better.

The fourth is AI-powered automation: features like automatic drawing generation, smart assembly snapping, error diagnosis, and design inspection. These are the least exciting to watch in a demo and often the most useful in practice. SolidWorks 2026 and Solid Edge 2026 are both shipping real tools in this category right now.

The confusion comes when vendors mix these together in a single announcement, which is most of them. A press release that mentions "AI-powered design" might mean generative topology optimization, or it might mean a chatbot that links to help articles. Reading carefully has become an engineering skill of its own.

Autodesk Fusion 360: big ambitions, early innings#

Autodesk has the most ambitious AI story in CAD right now, and also the widest gap between what's been shown and what's available to use. Three things matter here.

Neural CAD is Autodesk's text-to-geometry feature. You type a prompt like "create a contemporary air fryer" and the system generates native, editable 3D geometry inside Fusion. Not a mesh blob, not a render, but actual B-Rep geometry with a feature tree you can modify. That is genuinely impressive in concept, and the demos I've seen produce surprisingly decent starting shapes. The problem is that Neural CAD is still in development. It was announced at AU 2025 and remains exploratory, subject to change in release timing, which in vendor language means "don't plan your Tuesday around it."

Text to Command is the more practical sibling. Instead of generating geometry from scratch, it lets you describe operations in plain English and the software executes them. "Extrude this face by 1 inch." "Add a 0.5 mm chamfer to all edges." "Split this body with my construction plane." You can even save multi-step sequences as reusable prompts. This is part of Autodesk Assistant, the conversational AI layer built into the platform. It's less dramatic than generating a whole model, but honestly more useful if you already know what you're building and just want to stop clicking through menus. It is also still in development.

For a detailed breakdown, the Fusion 360 AI features post tracks what's available and what's still roadmap.

Autodesk also has mature generative design tools that have shipped for years. Generative Design in Fusion uses cloud compute to explore hundreds of design options under constraints. This is the part that actually works today, is battle-tested, and occasionally produces geometries that look like organic sculpture and perform better than the hand-designed version. The catch is it outputs mesh-like topology-optimized shapes that often need manual rebuilding as solid bodies, which is exactly the kind of detail demos leave out.

My read on Autodesk is that they're building toward something genuinely different, but most of the interesting stuff is not in your copy of Fusion yet. The generative design works. The assistant features are coming. Neural CAD is a research project with good marketing. If you're making purchasing decisions, use what ships, not what demos well.

Dassault SolidWorks 2026: the most features, the fastest shipping#

SolidWorks 2026 is the most aggressive AI rollout from any major CAD vendor this year, and the unusual part is that most of it is actually shipping. The February 2026 release (FD01) included the first batch, with more features arriving through summer 2026. Dassault CEO Manish Kumar stated publicly that everything shown was working, not speculative, which is either refreshing honesty or a very confident bet.

The headline features are AURA and LEO, virtual AI companions embedded in the SolidWorks interface. AURA handles general assistance, guidance, and Q&A. LEO handles more design-specific tasks. In practice, they function as an integrated copilot layer similar to what other vendors are building, but Dassault went further and built specific tools around them.

AI-powered Drawing Generation lets you create drawings from text prompts with customizable templates and standards. If you have ever spent a Friday afternoon producing six standard views of a bracket because someone needs the documentation before Monday, this is the feature that might actually save you real time. It is in beta as of FD01.

AI-powered What's Wrong Analysis diagnoses model errors with AI-guided root-cause analysis. Instead of staring at a red feature and guessing which sketch reference broke, the system traces the failure and suggests fixes. I have lost more hours to detective work on broken feature trees than I'd like to admit, so this one appeals to me personally even if the execution is still being refined.

The Assembly Structure Generator creates assembly structures from text prompts. Design Inspection, Material Manager, and Project Planner are all in beta or arriving by summer 2026.

The SolidWorks 2026 AI features post has the full breakdown with dates.

What makes SolidWorks 2026 interesting is the breadth. Most vendors have one or two AI features they push hard. Dassault is shipping ten, and Engineering.com counted them. Whether all ten work well is a different question, but at least you can install them and find out, which puts Dassault ahead of vendors still showing slides.

PTC Onshape AI Advisor: the quiet practical one#

Onshape's approach to AI is less flashy but arguably smarter for the current moment. The AI Advisor is a real-time guidance tool embedded in the Onshape design environment, powered by Amazon Bedrock and built on official Onshape documentation. It shipped in October 2025 and has been updated since, most recently in February 2026 when it was integrated into the help system.

What it does is straightforward: you ask it questions about Onshape features, modeling techniques, or troubleshooting, and it gives you answers drawn from verified sources. Step-by-step recommendations, best practices, error resolution. It doesn't generate geometry. It doesn't execute commands. It teaches and assists.

The Onshape AI Advisor post covers the specifics.

PTC's roadmap for Onshape AI is more ambitious. They've talked about agent workflows, FeatureScript code generation, model metadata interaction, and AI-assisted rendering. But for now, what ships is a guidance tool, and honestly that might be the right thing to ship first. An AI that helps you use the software better is less exciting than one that builds geometry, but it's also less likely to generate a model that looks right and is secretly garbage. PTC has said publicly that effective AI in CAD relies on existing intelligent automation features, not replacing proven geometry engines, which sounds like a philosophy and a dig at competitors at the same time.

The thing I respect about Onshape's approach is that it is cloud-native, which means AI features can ship faster, reach every user at once, and improve without waiting for an annual release cycle. When PTC does ship geometry generation or agent workflows, the infrastructure is already there. Whether they ship them fast enough to matter is the question.

PTC Creo AI Assistant: error troubleshooting first#

Creo's AI story is separate from Onshape's, because PTC runs them as different product lines with different architectures.

The Creo AI Assistant arrived in beta with Creo 13, available in Creo+ (the SaaS version) since September 2025, with on-premises Creo 13 following around May 2026. In its current form, it focuses on error troubleshooting. When something fails, the assistant pulls relevant information from PTC's support knowledge base, contextualizes the error, and presents solutions in a side panel without requiring you to leave the application or open a browser to dig through support articles.

That's a narrow scope, and PTC is upfront about it being a first iteration. But for Creo users who have spent time searching help forums at 3 p.m. trying to understand why a sweep failed with a cryptic error code, having the answer surfaced inside the tool is a genuine quality-of-life improvement. PTC plans to expand the assistant's capabilities in future versions.

Creo also has mature generative design tools. Creo GTO (Generative Topology Optimization) and GDX are built into Creo 7+ with a separate license. These let engineers define design requirements, materials, and manufacturing constraints, then generate multiple manufacture-ready alternatives. Companies like Cummins have used them for weight reduction and sustainability work. This is proven technology that predates the current AI hype cycle.

Siemens: NX AI Chat and Solid Edge Design Copilot#

Siemens is running AI features across two product lines, and the Solid Edge side is further along in shipping real tools.

Solid Edge 2026 launched with the Design Copilot, an AI chatbot built into the interface using generative AI and RAG (Retrieval Augmented Generation) technology. It understands natural language, responds in the user's language, and generates follow-up questions based on conversation context. It's available across all Solid Edge tiers, which is notable because some vendors gate AI features behind premium plans.

But the more practical Solid Edge features are the automation tools. Magnetic Snap Assembly recognizes constraints and snaps parts into correct positions automatically, making assembly reportedly up to nine times faster for supported geometry types. Automatic Drawing Creation uses AI to generate 70 to 80 percent of a 2D drawing automatically, including orthogonal, broken, and isometric views with dimensioning. If you've ever hand-placed thirty dimensions on a drawing that should have been trivial, that last number is the one that matters.

On the NX side, Siemens has NX AI Chat under active development. Details are thinner here. NX is the enterprise tool, and enterprise features tend to ship quietly to large accounts before they get public documentation. What's been shown is a conversational assistant similar in concept to what other vendors offer.

Siemens' overall AI strategy leans on its broader Xcelerator platform and industrial AI initiatives, which means CAD-specific features sometimes get bundled into larger announcements about digital twins and manufacturing intelligence. The useful CAD features are there if you dig past the enterprise language.

What's actually shipping vs. what's a roadmap#

Here's the honest tally as of April 2026.

SolidWorks 2026 has the most AI features you can actually install and use today. Drawing generation, error analysis, assembly structuring, and the AURA/LEO companions are in beta or shipping. More arrives by July.

Solid Edge 2026 is shipping the Design Copilot, Magnetic Snap Assembly, and automatic drawing creation. These are available now.

Onshape AI Advisor is live and has been since October 2025. It's a guidance tool, not a geometry generator, but it works and it's been updated steadily.

Creo AI Assistant is in beta, available in Creo+ and coming to on-premises Creo 13 by mid-2026. Creo's generative design tools are mature and shipping.

Fusion 360 has generative design shipping. Neural CAD and Text to Command are in development, announced but not available to regular users. Autodesk Assistant is the framework that will deliver them, but the timeline is still "exploratory."

NX AI Chat is under development with limited public information.

If you need AI features working in your CAD tool today, SolidWorks 2026 and Solid Edge 2026 are the most tangible options. If you're willing to wait and bet on potential, Fusion 360's roadmap is the most ambitious. If you want a stable, shipping assistant right now, Onshape AI Advisor is the safest choice, understanding that it doesn't generate geometry.

The pattern worth watching#

Step back and look at all six vendors together, and a pattern appears.

Almost nobody is shipping text-to-geometry generation from a major vendor. Autodesk is working on it. The dedicated text-to-CAD tools from startups like Zoo.dev are further along than the big vendors on this specific problem. That should tell you something about how hard the problem is.

What's actually shipping, from nearly everyone, is the assistant/copilot pattern. Chatbots trained on documentation, error diagnosis tools, natural-language command execution, and contextual help. This is less exciting than typing "design me a gearbox" and watching it appear, but it's also the kind of thing that might save you real time on a Wednesday afternoon when your model breaks and the help forum is useless.

The automation features are the sleeper category. Automatic drawing generation from SolidWorks and Solid Edge, smart assembly snapping, AI error diagnosis. These don't make good keynote demos. They make good Tuesdays. If I had to bet on which AI features actually change daily CAD work first, it's these, not the generative stuff. The person who doesn't have to manually place forty dimensions on a standard three-view drawing is going to feel the difference long before anyone's typing prose into a prompt box and getting a usable manifold.

Generative design remains the most mature AI capability in CAD, but it has been around for years and it solves a specific problem: structural optimization under constraints. It's real, it works, and it produces strange-looking parts that perform well. It is also not what most people mean when they say "AI in CAD" in 2026. The conversation has moved to natural language interaction and automated workflows, even though generative design is still the part with the most production mileage.

What this means if you actually use CAD for work#

If you're a working designer or engineer wondering how much of this matters to your actual job right now, the honest answer is: some of it, but probably less than the announcements suggest.

The assistant and copilot tools are worth trying if your vendor has shipped them. Onshape AI Advisor is good for learning the software faster. SolidWorks' error analysis could save you real debugging time. Solid Edge's drawing automation could cut boring documentation work significantly. None of these will redesign your part for you, but they might reclaim an hour here and there, which adds up.

Text-to-geometry generation from a major vendor is not ready for production use. Autodesk's Neural CAD is promising but unavailable. If you want to experiment with text-to-CAD today, the standalone tools are where the action is. The text-to-CAD guide covers what works and what doesn't.

Generative design is worth learning if you haven't already, especially for lightweighting, structural optimization, or exploring design spaces you wouldn't reach manually. Fusion 360 and Creo both have mature implementations.

For everything else, watch the shipping dates, not the announcements. A feature that arrives in your copy of the software is worth ten features that arrive in a keynote video. I have been burned enough times by CAD roadmaps to know that "coming soon" sometimes means "coming never," and "exploratory" sometimes means "we showed it once and it worked and we're not sure about the second time."

My advice is simple. Use what ships. Test what's in beta. Ignore what's only in slides. And keep your actual workflow running on features you can rely on, because the AI stuff is coming, genuinely, but it's coming at the speed of real engineering, not at the speed of the demo reel. The gap between those two speeds is where disappointment lives, and I have spent enough late afternoons in that gap to suggest you pack a sandwich.