Why CAD Vendors Will Not Build This AI: The Lock-In Argument

Your engineering team uses SOLIDWORKS for most fixture work, NX for the core machine because that is what your customer demanded, and AutoCAD for legacy 2D handovers. You want one AI tool that reads drawings across all three, runs revision diffs, and proposes pipe routing. You assume Dassault, Siemens, and Autodesk are working on this. They are not — at least, not in the form you want. Each of them has structural reasons to build vendor-specific AI that locks you deeper into their ecosystem.

This is the cad vendor lock-in argument for third-party AI tooling, and it explains why companies like DrawingDiff exist in this market. Let us look at the structural dynamics.

The CAD market is a moat business

The big CAD vendors — Dassault Systemes (SOLIDWORKS, CATIA, 3DEXPERIENCE), Siemens (NX, Solid Edge, Teamcenter), PTC (Creo, Windchill), Autodesk (Inventor, Fusion, AutoCAD) — compete on lock-in. The financial model rewards customer entrenchment. The deeper a customer is in 3DEXPERIENCE, the harder it is to switch to NX. Vendor revenue depends on this difficulty.

Given this, what AI features do CAD vendors prioritize?

1. Features that work better the more of the vendor’s product stack you have installed.
2. Features that emit data only the vendor’s downstream products can read.
3. Features that lock customer-specific knowledge into vendor-proprietary formats.

What AI features do they avoid?

1. Cross-vendor interoperability. Why help an NX customer read SOLIDWORKS files better?
2. Neutral-format-first workflows. STEP-first design assistance reduces lock-in.
3. Integration with non-vendor PLM/ERP systems.

This is not a moral observation. It is a description of incentives. A vendor that built genuinely cross-vendor AI would weaken its own moat.

What vendor AI looks like in 2026

Look at what is actually shipping:

• Dassault has rolled AI features into 3DEXPERIENCE. The features work best when your data is already in the 3DEXPERIENCE platform, ideally with Enovia PLM.
• Siemens has integrated AI into NX with various names over the years. The integration is tight with Teamcenter and weak with non-Teamcenter PLM.
• PTC has Creo+ and AI-assisted features. Best when paired with Windchill.
• Autodesk has Fusion AI features. Best when your data lives in Autodesk Construction Cloud or Forge.

In each case, the features are good — within the ecosystem. The moment you have a multi-CAD reality, vendor AI starts to feel like islands.

The multi-CAD reality

A representative equipment OEM looks like:

• 60 percent of internal design in SOLIDWORKS (mostly fixtures, sub-assemblies, in-house tooling).
• 25 percent in NX (because the largest customer mandates NX for core deliverables).
• 10 percent in AutoCAD/Inventor (legacy 2D drawings, some piping work).
• 5 percent in CATIA (one customer in aerospace adjacency).

This is not unusual. It is the median equipment OEM. A vendor-specific AI tool helps with one of these and ignores the other three. A cross-vendor AI tool helps with all four.

The same pattern shows up in EPC firms, semiconductor equipment companies, and OEMs serving automotive plus industrial. Multi-CAD is the default; single-CAD is rare.

What third-party AI does differently

Third-party AI tools sit above the CAD layer. They read CAD files in their native formats (or via robust converters), operate on the geometric and semantic content, and produce outputs compatible with the relevant CAD system. They have no incentive to push you toward any particular vendor.

Concretely:

• A drawing revision diff that reads SOLIDWORKS, NX, AutoCAD, and CATIA drawings with the same engine.
• A BOM extractor that emits to SAP regardless of which PLM/CAD upstream.
• A P&ID-to-3D pipeline that targets SOLIDWORKS, NX, or AutoCAD Plant 3D depending on project.
• A compliance checker that runs against ASME, PED, CRN regardless of which CAD authored the drawing.

The third-party position is structurally different from the vendor position. Whether the third-party tool is better at any specific task depends on the tool — but the architectural advantage of cross-vendor capability is built in, not bolted on.

The historical precedent

This pattern is not new. PLM vendors did the same thing in the 1990s and 2000s. Teamcenter was deeply integrated with NX, Enovia with CATIA, Windchill with Creo. The third-party PLM market (Aras, Oracle Agile, smaller specialists) emerged precisely because customers needed PLM that worked across CAD systems.

File-format conversion tools did the same in the 1980s. Theorem Solutions, ITI TranscenData, Datakit, Elysium — all built businesses on neutral interchange that vendors had no incentive to perfect. STEP is good in 2026 partly because these third parties pushed it forward.

AI tooling is following the same trajectory. Cross-vendor AI is a third-party-shaped problem.

What CAD vendors will eventually build

Fairness check: vendors do build AI features eventually. The pattern is roughly:

• Year 0: Third-party tool launches with novel AI workflow.
• Year 1-2: Equipment OEMs adopt the third-party tool. The workflow proves itself.
• Year 2-4: CAD vendor releases a vendor-specific version of the same workflow, integrated into their ecosystem.
• Year 4+: Third-party tools differentiate on cross-vendor capability and on workflows the vendor cannot or will not support.

This is not a complaint about vendors; it is the rational sequence. Vendors do not invest in unproven workflows; they fast-follow proven ones. The third-party tool wins early adoption and long-term differentiates on cross-vendor, on rapid iteration, and on workflows that touch areas vendors avoid (multi-format, neutral-output, third-party PLM integration).

What this means for tool selection

When evaluating CAD AI tools, ask:

1. Which CAD systems does it read? If only one, you are buying into another lock-in layer.
2. Which output formats does it produce? Native to one vendor, or neutral plus native?
3. What is the PLM integration story? One PLM, or many?
4. What is the upgrade story when you change CAD systems? Does your AI investment carry over, or does it die with the CAD switch?
5. Who is the vendor’s customer base — single-CAD shops or multi-CAD shops? Their roadmap follows their customers.

The fifth question matters most over time. A tool whose customer base is multi-CAD will keep investing in cross-vendor capability. A tool whose customers are 90 percent SOLIDWORKS users will gradually deprecate NX support.

Where DrawingDiff fits

DrawingDiff is positioned explicitly as cross-vendor. Reading drawings is format-agnostic — PDF, DWG, native CAD exports — and outputs target whichever CAD system is active in the customer’s project. This is the structural argument for the product. Your evaluation should test it on your hardest cross-vendor case, not a clean single-vendor case.

Open file format trends

A quiet trend worth noting. STEP AP242 has matured. Industry Foundation Classes (IFC) are increasingly capable for plant 3D data. Even file formats that were proprietary five years ago — Autodesk’s RVT, Bentley’s DGN — now have third-party readers and writers. The data-format moat that vendors used to rely on is weaker than it was.

This matters because third-party AI tools depend on being able to read and write the data. Five years ago, reading a Teamcenter dataset required licensed Teamcenter integration. Today there are multiple paths, including open-source converters of varying quality. The trajectory continues; the practical implication is that cross-vendor AI gets easier to build and harder for any single vendor to block.

The vendors are aware of this. Their counter is to move the moat upward — from file format to platform, from data to workflow, from on-premise to cloud. Tomorrow’s lock-in is not in the file format; it is in the cloud platform that hosts the file. Third-party AI tools must navigate this by integrating with vendor cloud platforms while keeping the value of their analysis portable.

The data-portability angle

There is a second cad vendor lock-in concern beyond functionality. It is data portability. Files saved in 3DEXPERIENCE, Teamcenter, or Windchill are increasingly stored in vendor-controlled cloud platforms. Migrating away from those platforms is technically possible but operationally painful.

Third-party AI tools that store their analysis results in neutral formats — JSON, structured PDF reports, files in your existing PDM rather than the AI vendor’s cloud — preserve your ability to migrate. Tools that lock results into a proprietary cloud reproduce the same vendor lock-in pattern at a different layer.

When evaluating a CAD AI tool, ask where the AI’s outputs live. If the answer is “in our cloud, accessed via our portal,” you are buying a different flavor of the same lock-in problem. If the answer is “in your PDM as standard attachments, in formats your other tools can read,” the lock-in surface is much smaller.

Cross-vendor as a hiring advantage

A practical secondary effect of cross-vendor tooling: it makes hiring easier. A new engineer joining your team may have come from a SOLIDWORKS shop, an NX shop, or a CATIA shop. If your AI tooling works only with one CAD system, the new hire either has to retrain or has to be limited to the projects that match their background.

Cross-vendor AI lets you assign engineers to projects based on the project’s needs, not based on the engineer’s CAD training. Over a 5-year horizon, this matters more than initial license cost or feature set. Hiring flexibility is a competitive advantage that compounds.

The same logic applies to acquisitions and joint ventures. Acquiring a company that uses a different CAD system is much smoother when your AI tooling already speaks their CAD. Vendor-locked tools force a CAD migration on top of every other integration challenge.

What this means for you

1. cad vendor lock-in is a feature of vendor business models, not a bug. Plan tool selection accordingly.
2. Audit your real CAD usage across the team. Most equipment OEMs are multi-CAD even when management thinks they are single-CAD.
3. Third-party AI tools have a structural advantage on cross-vendor work; vendor AI tools have a structural advantage on within-ecosystem work. Use both, but check that the third-party tool itself does not introduce a new layer of cad vendor lock-in via cloud-only outputs.
4. The cross-vendor advantage compounds over time as customer CAD demands shift — pick tools whose architecture survives those shifts.