Robots are no longer science fiction—they’re serving food in Chinese restaurants, assisting the elderly in Japanese care homes, and running entire logistics operations overseas. But where does the United States stand in this global robotics race?

In this episode, we dive into the numbers and the narratives:

• Why China dominates robot manufacturing and deployment, installing nearly nine times more robots annually than the U.S.
• How Japan’s cultural acceptance and government-backed elder care programs have made it a pioneer in service and companion robots.
• The U.S. paradox: a leader in AI, software, and robotics innovation, yet heavily reliant on imports for hardware and lacking a national robotics strategy.
• The structural barriers—policy gaps, corporate incentives, labor economics, and cultural skepticism—that keep America from putting robots in homes, restaurants, and hospitals at the same pace as Asia.

We’ll also explore what it would take for the U.S. to catch up: from industrial policy and workforce training to shifting public perception of robots as partners rather than threats.Disclaimer: The information, views, comments,and opinions expressed on Podcast "Talking with AI ML" aregenerated by artificial intelligence and machine learning algorithms. The information, views, comments, and opinions do not reflect the views or positions of the owner/creator(s) or any other party such as but not limited to any past,present, or future employers, organizations, or individuals and are provided for entertainment purposes only. All content provided is for informational and entertainment purposes. The hosts, guests, and contributors (including creator) make no representations as to the accuracy, completeness, suitability, or validity of any information on this Podcast and will not be liable for any errors, omissions, or delays in this information or any losses, injuries, or damages arising from its use. This content is used under the doctrine of

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Recognition: Special thank you and credit to Google, andMicrosoft, for use of their Large Language Models (LLMs) in helping research and generate content.