The Demo Is Not the Product: What Robotics Companies Learn Too Late
Robotics and embodied AI are advancing rapidly. AI systems can interpret data, write code, control complex systems, and more every day! Yet building robots that work reliably in the physical world remains dependent on hardware and extremely difficult.
Behind every robotics breakthrough lies a complex set of engineering realities including mechanical design, safety systems, supply chain strategy, manufacturing readiness, product development discipline, and of course, rapidly evolving leaps forward in AI enablement.
This panel will explore the gap between the promise of AI-powered robotics and the practical challenges of bringing robotic systems into real-world deployment.
The discussion will highlight lessons from robotics startups, product development leaders, and ecosystem partners working at the intersection of AI, robotics, and manufacturing.
We will explore questions such as:
• Why robotics startups fail even with strong AI capabilities
• The difference between impressive demonstrations and manufacturable products
• Why supply chain strategy and manufacturing readiness are critical in robotics
• How AI and hardware engineering must evolve together
• What founders, investors, and engineers should understand when building robotics companies