Embodied AI, the integration of flexible intelligence into physical robotics, presents transformative opportunities.The road to a 'ChatGPT for robotics' faces challenges and necessitates new breakthroughs.Robotic automation is inevitable, with startups and investors aiming to align robotic capabilities with market needs.General-purpose robotic foundation models, like Google's RT-X, offer flexibility and potential for diverse use cases.The development of powerful AI models such as GPT-4 and Gemini could revolutionize robotics applications.While generative AI techniques are gradually influencing robotics, a ChatGPT-like model may not dominate immediately.Startups are leveraging generative AI techniques to enhance flexible intelligence and speed up time-to-market.Challenges such as data availability, reliability, and edge computing pose obstacles for robotics foundation models.Recommendations for entrepreneurs emphasize focusing on high-value applications and leveraging generative AI as a tool.Continuous innovation in the robotics industry, with a gradual integration of generative AI, is foreseen for future developments.