Hardware execution, driven by mechanical engineering, outperformed pure AI hype at CES, shifting robotics leadership from Silicon Valley to Shenzhen. By Marcus Schuler.

Key learnings from the CES 2026:

  • Chinese manufacturers dominated the home robotics sector at CES 2026.
  • The hype around AI has shifted focus away from tangible hardware execution toward abstract software concepts (chatbots).
  • Building functional robots requires significant mechanical engineering, tolerance testing, and manufacturing expertise.
  • Success in physical robotics depends more on hardware execution than just underlying vision model development.
  • Investment patterns show a divergence: foundation models receive funding, while physical gripper mechanisms and housings do not generate equal excitement.
  • The actual engineering work for hardware was often executed by Chinese manufacturers, while the West focused heavily on ML theory.

This blog post provides a valuable, market-driven perspective on the current state of AI hardware development, effectively challenging the prevailing narrative that pure software innovation is the sole driver of physical AI success. It serves as a strong reminder for technical teams to integrate mechanical and electrical engineering expertise directly into their ML pipelines when developing embodied AI systems. Nice one!

[Read More]

Tags robotics cloud ai performance learning