AI Models & Platforms

Autodesk Previews Agentic AI Across Forma, Fusion, and Flow

mm
Add Unite.AI to your preferred sources on Google

Autodesk previewed new agentic AI capabilities across its three industry clouds at Autodesk University 2026 in Las Vegas on September 15, 2026, saying the capabilities shape the next generation of Autodesk Assistant, with the expanded experience planned to begin rolling out in 2027.

The preview spans Autodesk Forma for architecture, engineering, and construction; Autodesk Fusion for design and manufacturing; and Autodesk Flow for media and entertainment. Together, the new capabilities extend the company’s agentic AI experience across products, projects, and teams rather than inside a single tool. Autodesk said the experience draws on connected project data to incorporate the context of the project behind each question a user asks.

Autodesk Assistant is generally available across many Autodesk products, including Fusion, Forma, and Flow, where it gives customers access to Autodesk AI inside the tools they already use. The next-generation experience extends beyond any single product. Rather than requiring professionals to know which Autodesk product or AI capability to reach for, it starts from what they are trying to accomplish, brings forward the relevant information and capabilities, and keeps professionals in control, according to the company. A standalone experience is planned for 2027.

“The constraint in our industries has never been about ideas. It’s capacity,” Andrew Anagnost, president and CEO of Autodesk, said in the company’s announcement. Anagnost said that for Design and Make professionals, approximate answers are unacceptable because their work carries consequences in the real world, and that the next generation will extend Assistant across products, projects, and teams.

Three Priorities and the AI Orchestrator

Autodesk said the next-generation Assistant is built around three priorities. For the first, understanding what needs attention, a feature called Personal Pulse presents prioritized issues and insights from across projects, while Assistant Spaces gives teams and their agents a shared environment in which to investigate a problem, collaborate on it, and see its downstream effects. For the second, acting across workflows, Assistant combines Autodesk’s specialized design, engineering, and creative AI with the capabilities professionals use to simulate, manufacture, and produce work, with interaction through natural language and voice. For the third, customers can bring their own intelligence: Assistant Builder connects a customer’s own AI agents, tools, and trusted partner services to Autodesk project context, and Autodesk plans support for third-party agents from the Design & Make Marketplace.

Behind the experience, a component called Autodesk AI Orchestrator evaluates models based on the needs of a particular task, including accuracy, speed, security, and cost, which the company said allows it to draw on different forms of intelligence rather than relying on a single model for every problem.

Project Intelligence and the Industry Clouds

Autodesk defines project intelligence as actionable intelligence created from connected project data, industry context, and AI. The company said it can help teams understand what has changed, identify what needs attention, anticipate downstream impacts, and determine what action to take next. In Autodesk’s description, the three industry clouds supply the underlying context: Forma connects data and workflows across architecture, engineering, and construction and is positioned as the company’s foundation for intelligence for the built world, including the future of AEC products such as Revit; Fusion connects data and workflows across product design, engineering, manufacturing, and production; and Flow connects content creation and production for media and entertainment.

Autodesk gave the example of a structural change to a building: the company said the next generation of Assistant can understand that change in the context of the project, identify its downstream impacts on fabrication, schedule, cost, construction sequencing, and operations, and bring forward the Autodesk capabilities needed to act. The company defines agentic AI at Autodesk as AI that uses project context to help professionals understand, plan, and take action toward an intended outcome instead of only answering a question.

Marius Jablonskis, Digital Transformation Leader at Norconsult, a pan-Nordic consulting firm specializing in engineering, architecture, and digital expertise, said the next generation of Autodesk Assistant reflects that project teams do not work in one tool or in one part of a project. He said Norconsult sees value in bringing its own tools and intelligence into the experience alongside Autodesk’s.

Trust Evaluation and Availability

Autodesk said Assistant is grounded in actual project context and, like every Autodesk AI capability, is evaluated for data integrity, privacy, and risk. The company publishes AI Transparency Cards for Assistant that cover the data and technologies used, safeguards, and known limitations, and it said the experience is designed to support professional judgment with controls and human oversight.

In Autodesk’s 2027 State of Design & Make Report, 70% of Design and Make leaders and experts surveyed said they expect AI to reduce mundane and repetitive work and give them added capacity to focus on judgment, creativity, and expertise.

The next-generation experience is being previewed at AU 2026 and is not yet generally available. Autodesk said availability, rollout timing, subscription terms, and regional details for the next-generation capabilities will be announced in 2027, and that the expanded capabilities are planned to begin rolling out that year.

Aiden Cross is an AI-generated strategist at Unite.AI, covering AI product strategy, execution, and the practical challenges of turning experimental models into scalable, market-ready products. His work focuses on how startups and enterprise teams move from prototypes and demos to reliable systems used by real customers.

With a pragmatic and detail-oriented perspective, Aiden analyzes product roadmaps, go-to-market strategies, platform decisions, and organizational trade-offs that determine whether AI initiatives succeed or stall. He pays particular attention to deployment realities, user adoption, infrastructure constraints, and the alignment between technical capability and business value.

Articles authored by Aiden Cross are AI-generated and reviewed by Unite.AI’s editorial team to ensure clarity, accuracy, and responsible coverage of how AI products are built, shipped, and scaled in the real world.