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Autodesk 2027 State of Design & Make Report: AI Gap and Data for Inventor Teams | Autodesk Inventor | Register and Certify Ownership of CAD design

2026-10-16 15:29 News
Autodesk released its 2027 State of Design & Make report on 13 October 2026. Based on a survey of 5,500 leaders and experts in 23 countries, it finds that three in four organizations plan to spend more on AI over the next three years, yet only 40% say they are close to or have reached their AI goals. Autodesk's own conclusion is that AI only pays off when it is connected to trusted data.
The report covers architecture, engineering and construction, design and manufacturing, and media and entertainment. Autodesk ran the survey with Statista during 2026 and added 26 interviews with business leaders and experts. It is called the 2027 edition because the findings are meant to guide planning and budgets for the coming year. Most headline figures cover all industries together; where we quote a number below, it is the all-industry figure unless we say otherwise.
For Inventor users the timing is not accidental. Autodesk Assistant is now live in Inventor and Vault, and Autodesk is pushing hard toward cloud-connected, agentic workflows. This report is the business case behind that push. Below we set out what it actually says, what it means for CAD managers and manufacturing SMEs running Inventor, and why the quality and ownership of your design data now decide how much value AI can give you.
TL;DR: the 2027 State of Design & Make report in one paragraph

Autodesk surveyed 5,500 leaders in 23 countries. For the first time, technology, including AI, has overtaken cost as the top challenge (40%, up from 31% in 2025). 75% plan to increase AI investment over three years, 40% already use AI in design workflows, but only 40% say they are approaching or have achieved their AI goals. The 11% of organizations Autodesk calls Pacesetters are far more likely to have trusted data partners (92% vs 65%), connected systems (91% vs 60%) and checks on the accuracy of internal data (93% vs 74%). The message for Inventor teams: clean, connected, well-owned design data comes before AI results.

What did Autodesk's 2027 report find?

The biggest shift is in what leaders worry about. When asked to name their top three challenges, 40% of respondents picked technological advancement, including AI, up from 31% in 2025. That puts technology ahead of cost management for the first time in the series. Autodesk reads this as a change in executive priorities, from trying AI out to building it into everyday work.
Spending intentions follow. 75% of business leaders plan to increase AI investment over the next three years, even as overall technology spending levels off, according to the report. 40% have already integrated AI into design workflows and 34% are implementing AI-driven automation. You can read the AI chapter in Autodesk's State of Design & Make 2027 report.
Results lag behind. Only 40% of organizations say they are approaching or have achieved their current AI goals, and six in ten are in the early or middle stages or have not started. Sentiment is still positive: 73% believe AI will enhance their industry and 70% expect it to reduce repetitive work, while the share who think AI will destabilize their industry fell from 48% in 2025 to 41%.
The digital transformation chapter tells a similar story. 98% of leaders report measurable benefits from digital transformation, yet only 44% now describe their organization as digitally mature, down from 63% in 2024. Autodesk's explanation is that the bar keeps rising as AI, connected data and cloud tools change what "mature" means. 56% cite at least one skills-related barrier, compared with 37% who name cost as their main obstacle.

Why does trusted data decide whether AI works?

The most useful part of the report for a CAD manager is the comparison between Pacesetters and everyone else. Pacesetters are the 11% of respondents that combine digital maturity, AI leadership and sustainability leadership. They are not simply spending more on AI tools. They build the foundations underneath them.
Compared with mainstream organizations, Pacesetters are more likely to have trusted data partners (92% vs 65%), connected systems that integrate information across the organization (91% vs 60%) and dedicated AI teams (94% vs 61%). They are also more likely to make sure their internal data is accurate (93% vs 74%), and they invest 23 percentage points more often in data management and analytics. Autodesk CTO Raji Arasu put the problem this way: "AI can tell you what changed on a project, but the harder problem is why the decision was made, when, and what it affects downstream."
In Inventor terms, that context lives in your files and their history: part numbers, iProperties, revision states, model states, drawings, change orders and who approved what. If that information is scattered across local folders, half-filled properties and email attachments, an assistant that searches your data in natural language will find a mess. Our guides on CAD data lifecycle management and CAD file formats and metadata explain what clean design data looks like in practice.

What does this mean for Inventor and Vault users?

The report is not about any single product, and it does not name Inventor. But it lines up with what Autodesk is shipping. Autodesk Assistant is live in Inventor and Vault, where users can analyze models, modify parameters and components, create model states, automate repetitive tasks and search existing data using natural language. Our report on Inventor AI after Autodesk University 2026 covers those features and the open questions about data use.
Each of those tasks depends on the data under it. Searching "all brackets made from 6061 for customer X" only works if material, customer and part type are set consistently. Automating a repetitive task with iLogic or the Assistant only saves time if templates and naming rules are stable. That is why a well-run vault matters more, not less, in an AI workflow. Our Inventor Vault setup and management tips and our guide to Inventor automation with iLogic, add-ins and Autodesk Assistant are good places to start.
There is a second side to "trusted" data: trust in where it came from. When more of your design history flows through cloud services, AI assistants and supplier portals, you need to be able to show which version you created, when, and that it has not been changed since. That is a question of evidence, not just data quality, and it becomes important the moment a customer, a supplier or a former employee disputes who designed something. Our recent article on 3D model files as trade secrets shows how dated records decide those disputes.
Report findingWhat it means for an Inventor teamFirst step
75% plan to raise AI spendingAI features will reach your Inventor and Vault seats whether you plan for them or notDecide who owns AI rollout and data rules
Only 40% near their AI goalsBuying AI is easy; getting results is the hard partPick one workflow to improve, such as finding existing parts
Pacesetters: accurate internal data 93% vs 74%Assistants and search only work on consistent iProperties and part numbersAudit templates, properties and naming
Pacesetters: connected systems 91% vs 60%Design data locked in local folders cannot feed any AI toolMove active projects into Vault
56% cite a skills barrierEngineers need practical AI and data habits, not just licencesShort training on data rules and AI use
Pacesetters: trusted data partners 92% vs 65%You need to know where your files go and who can use themReview cloud, AI and supplier data terms
Make your design record as trustworthy as your data.

BORIS for Autodesk Inventor registers your CAD files with a blockchain timestamp from inside Inventor, so every registered version gets an independent, dated certificate of ownership.

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Where do skills and training fit in?

The report is clear that technology is no longer the main constraint. Among respondents who named AI as a key workforce skill for the next three years, general AI knowledge ranked first (37% of responses), followed by practical experience with AI tools (22%), AI literacy (13%) and AI integration and implementation (11%). In other words, organizations want broad AI fluency across the team rather than a few specialists.
Pacesetters back this up with money: 52% invest in AI training and development, compared with 39% of mainstream organizations. For an Inventor shop, AI fluency should include data habits: filling properties correctly, checking files into Vault, and knowing what may and may not be shared with an AI tool or a supplier. Our guides on training engineers on CAD data protection and training and change management for secure CAD adoption offer a structure you can reuse.
Measure the result. Autodesk notes that two-thirds of organizations report improvements of at least 50% in customer satisfaction, productivity and innovation from digital transformation, but those are self-reported. Set your own baseline before you roll out AI features, using the approach in our article on KPIs for successful adoption of new CAD workflows.

What should Inventor teams do now?

  1. Pick one AI use case. Choose a workflow where AI can save measurable time, such as finding existing parts before modelling a new one, or automating drawing updates. Avoid trying everything at once.
  2. Clean up your data. Standardize templates, iProperties, part numbers and material libraries. AI search and automation are only as good as the fields they read.
  3. Connect it. Move active projects out of local folders and into Vault, so there is one current version of each file with history and access control.
  4. Set data rules for AI tools. Decide which projects and files may be used with cloud AI features, review the terms of each service, and check what suppliers receive. Our guide on securing sensitive CAD data in cloud storage covers the basics.
  5. Train everyone, briefly. Short, practical sessions on data entry, Vault check-in and safe AI use reach more people than one long course for specialists.
  6. Keep independent proof. Register key design versions with a blockchain timestamp so you can show what existed and when, whatever tool or service the file passes through later.
None of these steps needs a new budget line, and all of them make AI features more useful when they arrive. They also reduce risk: this week's Autodesk ADP Desktop SDK advisory is a reminder that the plumbing around CAD tools deserves as much attention as the tools themselves.

What the report does not tell you

The report is a survey of leaders, and it is worth reading with that in mind:
  • It is self-reported. Benefits such as "improved productivity by 50%" are respondents' own estimates, not measured outcomes.
  • Most figures are cross-industry. Design and manufacturing is one of three industry groups, alongside AEC and media and entertainment. The headline numbers we quote combine all three.
  • It is published by a vendor. Autodesk sells the AI and cloud tools the report recommends. Only 35% of respondents said they had used Autodesk products in the past 12 months, which helps, but the framing is Autodesk's.
  • It says nothing about data ownership terms. The report talks about trusted data partners but does not set out how any vendor uses customer data for AI. That question you need to answer service by service.
Regional cuts are also appearing. Coverage in India, for example, reports that 64% of Indian organizations are near or at their AI goals, well above the global 40%, according to APAC News Network's summary of the India findings.

How does this fit the wider picture?

This week's news across our sites points the same way: AI is moving fast, and control over data and proof of authorship are becoming the real differentiators.
  • Regulators and AI agents. On CADChain, the EU AI Office's first AI Act enforcement step shows the Commission sending requests for information to OpenAI and Anthropic over AI agents that broke into outside organizations, a reminder to think about what AI tools can reach in your systems.
  • Geometry for AI. BORIS for SOLIDWORKS reports on Nvidia's open-source USD BRep CAD kernel, which exposes exact B-rep geometry to Python and C++ so it can feed AI models, raising fresh questions about who controls design data in AI pipelines.
  • Copies and provenance. Blended BORIS covers AI copies of makers' work flooding Etsy and why creators need proof of who made a design first.
For a broader look at protecting engineering data across tools, the CADChain team explains how CAD data protection works, and our complete guide to CAD data protection covers the Inventor side.

Conclusion

Autodesk's 2027 State of Design & Make report confirms what many CAD managers already feel: AI is now the top technology priority, budgets are rising, and most organizations are not yet getting the results they want. The difference between the leaders and the rest is not the AI tool. It is accurate, connected, trusted data, plus people who know how to use it. For Inventor teams that means clean properties, a working vault, clear rules about which data AI tools may use, and an independent record of who designed what and when. Start with the data, and the AI features Autodesk is shipping into Inventor and Vault will have something solid to work with.
Trusted data starts with proof of origin.

BORIS for Autodesk Inventor gives every registered file a blockchain timestamp and a certificate of ownership, directly inside Inventor.

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FAQ: Autodesk 2027 State of Design & Make report

What is the 2027 State of Design & Make report?

It is Autodesk's annual global study of trends in architecture, engineering and construction, design and manufacturing, and media and entertainment. The 2027 edition, released on 13 October 2026, is based on a 2026 survey of 5,500 leaders and experts in 23 countries plus 26 interviews.

Why is it called 2027 if it came out in 2026?

Autodesk says the research was done in 2026, but the edition is titled 2027 because its findings are meant to inform planning and investment decisions over the coming year.

What are the main AI findings?

75% of leaders plan to increase AI investment over three years, 40% have integrated AI into design workflows and 34% are implementing AI-driven automation. Only 40% say they are approaching or have achieved their AI goals.

Who are the Pacesetters?

Pacesetters are the 11% of respondents that combine digital maturity, AI leadership and sustainability leadership. They are much more likely to have trusted data partners, connected systems, dedicated AI teams and checks on the accuracy of internal data.

Does the report mention Autodesk Inventor?

No. The report is not about individual products. It is relevant to Inventor users because Autodesk Assistant is now live in Inventor and Vault, and those features depend on the same data foundations the report describes.

Are the numbers specific to manufacturing?

Most headline figures cover all industries together. Design and manufacturing is one of three industry groups in the study, so treat the numbers as a broad signal rather than a manufacturing benchmark.

What should an Inventor team do first?

Pick one AI use case, clean up templates and iProperties, move active projects into Vault, set rules for which data AI tools may use, train the whole team briefly, and keep independent proof of key design versions.

How does BORIS help?

BORIS for Autodesk Inventor registers CAD files with a blockchain timestamp from inside Inventor. Each registered version gets a dated certificate of ownership that does not depend on any single account, cloud service or AI tool.