I work around CAD/CAM and automation projects, and thought I’d share a ground-level view of what’s really changing in computer-aided automation — not the hype, just what’s showing up in day-to-day work.
1. CAD is no longer “just design”
Most shops are using CAD models directly for CAM, simulation, and even inspection. If the model is wrong, everything downstream breaks. Because of this, there’s a stronger push toward model-based definition (MBD) instead of 2D drawings. Not everywhere yet, but it’s clearly increasing.
2. Automation is moving upstream
Earlier, automation was mostly at the machine or PLC level. Now it’s happening earlier in the process:
Auto-generation of toolpaths from standard features
Rule-based fixture and process planning
Scripted checks for design manufacturability
This doesn’t replace engineers, but it cuts repetitive work.
3. Scripting skills are becoming valuable
Python, VBA, and vendor APIs (NX Open, Fusion API, SolidWorks API, etc.) are being used a lot. Engineers who can automate boring tasks inside CAD/CAM tools are finishing work faster and with fewer mistakes. This is very visible in medium-size companies trying to do more with small teams.
4. Digital twins are used… but in a limited way
True digital twins are still expensive and complex. What’s actually common is partial simulation:
Robot reach and collision checks
Cycle time estimation
Simple material flow simulations
It’s practical, not perfect, and mostly focused on risk reduction before commissioning.
5. AI is being used quietly, not magically
Despite the marketing, AI in automation today is mostly:
Vision systems for inspection and sorting
Parameter optimization (feeds, speeds, tuning)
Predictive maintenance from machine data
No “fully autonomous factory” yet, but fewer surprises on the shop floor.
6. Integration problems are still the biggest pain
Connecting CAD, CAM, ERP, MES, and machines is still messy. File formats, versions, and data ownership cause more issues than lack of technology. Companies that solve data flow tend to see the biggest productivity gains.
Overall, computer-aided automation is becoming more practical and less flashy. The big wins are coming from small, well-targeted automation steps rather than massive transformations.
