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187 | Sam Altman’s Senate Testimony, Companies Leveraging AI for cross industry expansion, OpenAI Will NOT become a for-profit, and other important AI news for the week ending on May 9th, 2025
Manage episode 481924246 series 3456299
👉 Fill out the listener survey - https://services.multiplai.ai/lai-survey
👉 Learn more about the AI Business Transformation Course starting May 12 — spots are limited - http://multiplai.ai/ai-course/ Save $100 with promo code LEVERAGINGAI100
Are U.S. companies ready to lead the AI revolution?
Sam Altman's testimony before the U.S. Senate just set the stage for a high-stakes race in AI, where U.S. innovation is battling global superpowers for dominance. In a world where energy and infrastructure dictate AI's growth, the stakes have never been higher.
But it’s not just about big government moves—businesses are rapidly leveraging AI to break industry barriers. From Salesforce moving into customer service to Canva building out new data capabilities, the lines between industries are getting blurred, and it's all powered by artificial intelligence.
In this session, you'll discover:
- Sam Altman’s bold predictions for U.S. AI leadership and its global implications.
- How OpenAI's decision to remain a non-profit reshapes its path and the AI landscape.
- Why energy infrastructure is now seen as the backbone for AI expansion.
- The rise of cross-industry AI plays—how giants like Salesforce and ServiceNow are breaking into new markets.
- OpenAI’s new blueprint for enterprises: The seven key steps every business should follow.
- The role of government in AI: Regulatory risks, infrastructure needs, and strategic competition with China.
About Leveraging AI
- The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/
- YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/
- Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/
- Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events
If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!
188 episodes
Manage episode 481924246 series 3456299
👉 Fill out the listener survey - https://services.multiplai.ai/lai-survey
👉 Learn more about the AI Business Transformation Course starting May 12 — spots are limited - http://multiplai.ai/ai-course/ Save $100 with promo code LEVERAGINGAI100
Are U.S. companies ready to lead the AI revolution?
Sam Altman's testimony before the U.S. Senate just set the stage for a high-stakes race in AI, where U.S. innovation is battling global superpowers for dominance. In a world where energy and infrastructure dictate AI's growth, the stakes have never been higher.
But it’s not just about big government moves—businesses are rapidly leveraging AI to break industry barriers. From Salesforce moving into customer service to Canva building out new data capabilities, the lines between industries are getting blurred, and it's all powered by artificial intelligence.
In this session, you'll discover:
- Sam Altman’s bold predictions for U.S. AI leadership and its global implications.
- How OpenAI's decision to remain a non-profit reshapes its path and the AI landscape.
- Why energy infrastructure is now seen as the backbone for AI expansion.
- The rise of cross-industry AI plays—how giants like Salesforce and ServiceNow are breaking into new markets.
- OpenAI’s new blueprint for enterprises: The seven key steps every business should follow.
- The role of government in AI: Regulatory risks, infrastructure needs, and strategic competition with China.
About Leveraging AI
- The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/
- YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/
- Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/
- Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events
If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!
188 episodes
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