AI CAD automation is no longer an experiment
AI CAD automation is the use of artificial intelligence inside computer-aided design tools to automatically suggest, execute and validate everyday modeling and documentation tasks so that engineers spend less time on repetitive work and more time on design decisions.
Siemens’ move to embed AI across its Designcenter Solid Edge and automation stack is not a side project; it is a deliberate attempt to automate engineering workflows from the first sketch to the generated TIA Portal project. The company has renamed Solid Edge under the Designcenter umbrella and is sharing technology with NX, including a common token pool for value-based licensing that lets users temporarily subscribe to add-ons in either platform. In parallel, the Eigen Engineering Agent now reads ECAD data, generates PLC tags and builds standards-compliant projects directly for TIA Portal. The message is clear: AI is becoming an execution engine for engineering workflow automation, not a chatty add-on that lives in a browser tab.
Solid Edge’s three AI features target the real time sinks
Designcenter Solid Edge adds three AI capabilities that attack the ugliest parts of daily CAD work: finding commands, assembling components and churning out drawings. First is the AI Design Copilot, today a product support chatbot that explains how to execute commands. Siemens openly states that the next step is execution: “In the not too distant future, it’s not only going to tell you how to execute a command, it will go execute the command for you.”
The second feature, Magnetic Snap, is classic AI CAD automation: drag a part into an assembly and the system automatically mates it with its best guess at constraints, a small but powerful cut in assembly time that users already appreciate. The third, automated drawings, goes straight after the 25 to 30 percent of time customers spend producing documentation instead of innovating. It automatically picks sheet sizes, views, scales, layout and dimensions. This is the kind of unglamorous automation the industry needs—AI that quietly kills tedium rather than trying to “reimagine” design.
From ECAD to PLC tags: closing the electrical–automation gap
On the electrical side, Siemens is attacking an even more painful gap: the handoff between ECAD tools and automation engineering. Today, electrical engineers define wiring and hardware in ECAD, while automation engineers re-create the same intent as tags, function blocks and logic. That dual entry encourages typos, name mismatches and late-night hardware change hunts.
The Eigen Engineering Agent now reads electrical design files in XML and AML, identifies inconsistencies, adds devices to a TIA Portal project, configures connections and generates PLC tags based on hardware topology. This is PLC tag generation as an automated translation step instead of a manual slog. Siemens claims more than 100 companies in 19 countries already use the agent for PLC programming, HMI visualization and device configuration, reporting 2 to 5 times faster execution than manual workflows and up to 50 percent efficiency gains with an 80 percent improvement in overall solution quality. If those numbers hold in production, the tedious spreadsheet phase of many automation projects is living on borrowed time.
TIA Portal project automation turns specs into running projects
Automation projects have long started with a blank TIA Portal project and a lot of boilerplate: machine structure, module names, data organization and operating states, all before writing control logic. The Eigen Engineering Agent now attacks that front-loaded work by converting machine descriptions into standards-compliant projects that open directly in TIA Portal. Engineers can describe stations, devices and expected behavior in plain language, and the agent generates a project based on the Siemens Automation Framework.
This is TIA Portal project automation with real stakes: fewer hours burned on setup means quicker iterations and shorter time to first code download. Crucially, the new ECAD integration and project generation capabilities use engineering context that existed before software development—hardware topology, machine structure and intent—to support earlier stages of the automation lifecycle and reduce manual project setup. Because the agent is built into the existing TIA Portal engineering platform and included at no extra cost in its subscription, engineers avoid context switching and extra licensing decisions. AI is meeting them where they already work instead of demanding yet another tool.
AI is becoming an engineering colleague, not a sidecar
Taken together, Siemens’ moves show where engineering workflow automation is heading: AI that plans, executes and validates tasks across the lifecycle instead of sprinkling hints on top. The Eigen Engineering Agent is already used by companies on three continents, and it is designed for industrial automation engineering tasks that extend beyond on-screen assistance. Meanwhile, Solid Edge folds AI into everyday CAD gestures rather than corralling it in a separate app.
There is still work ahead. The AI Design Copilot is, for now, a smarter support channel, though Siemens expects it to execute commands, likely before the next Realize Live event. But the direction is set: AI is becoming the colleague that handles setup, PLC tag generation, TIA Portal project automation and drawing creation so humans can focus on architecture, safety and performance. Engineers who treat AI as a temporary add-on will be outpaced by those who treat it as part of their tooling fabric and design processes.
