It can fail because the physical system cannot reliably execute what the model decided. A recent article from the Association for Advancing Automation highlights an important point about reliable robot manipulation: better models are only part of the equation. Physical AI also needs: → Adaptability to real-world variation → Reliable execution of AI-generated actions → Physical feedback beyond vision and simulation → Flexible tooling that expands what the system can actually d

Remember when "AI" meant one model solving one problem? That world is gone. And honestly, it wasn't working for most enterprises anyway. Single models hit a ceiling—they couldn't adapt, couldn't reason across contexts, and definitely couldn't handle the messy reality of business operations. 🎯 The shift to agentic AI isn't just about technology. It's about reimagining how machines understand business problems. Instead of force-fitting data into rigid models, we're building sy