Text-to-CAD in 2026: what AI can and can’t model yet

Text-to-CAD has moved from demo to daily tool, but it is not magic. Knowing where it is reliable — and where it is not — saves you time. Here is a candid map as of 2026.

What it does well today

• •Single mechanical parts: brackets, plates, shafts, housings, adapters.
• •Enclosures with cutouts, bosses and lids, exported as printable STL.
• •Parametric primitives with exact dimensions, holes, fillets and chamfers.
• •Standard geometry: involute gears, sprockets, pulleys, pipe flanges.
• •2D drawings and cut profiles (DXF) for laser, plasma and routing.

Where you still need a human and a full CAD suite

• •Large multi-part assemblies with mates and motion.
• •Simulation: FEA, thermal, CFD and tolerance stack-ups.
• •Organic / class-A surfacing (consumer-product styling).
• •Manufacturing-specific detailing: GD&T, full title blocks, BOMs.

The pragmatic workflow

The most productive pattern is hybrid: use AI to generate the first solid from a description in seconds, then open the STEP in your CAD package to add assembly context, run simulation, or finish the drawing. You skip the slow blank-canvas stage without giving up the control a full suite provides.

Why solids matter

The quality bar for text-to-CAD is whether it outputs real solids (B-Rep) or just meshes. Solids carry exact geometry, so feature recognition can turn them back into an editable tree and CAM can machine them. AiCadGen generates AP242 STEP solids for exactly this reason — the output is a starting point you can build on, not a dead end.