👉 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/
What happens when your closest tech partner morphs into a direct competitor—while regulators, watchdogs and Wall Street all look on?
This week’s Weekend-News deep-dive unpacks the high-stakes AI arms race: OpenAI sparring with Microsoft, Google gutting its own search empire to fund a $75 B AI push, Meta writing $100 M signing bonuses—and why every one of those moves lands squarely on a CEO’s desk.
Future-proof your organisation by up-skilling talent, cleaning your data silos and baking AI governance into every growth bet—before the next “frenemy” move hits your balance sheet.
In this session, you’ll discover:
About Leveraging AI
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!
View all episodes
By Isar Meitis
4.8
5353 ratings
👉 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/
What happens when your closest tech partner morphs into a direct competitor—while regulators, watchdogs and Wall Street all look on?
This week’s Weekend-News deep-dive unpacks the high-stakes AI arms race: OpenAI sparring with Microsoft, Google gutting its own search empire to fund a $75 B AI push, Meta writing $100 M signing bonuses—and why every one of those moves lands squarely on a CEO’s desk.
Future-proof your organisation by up-skilling talent, cleaning your data silos and baking AI governance into every growth bet—before the next “frenemy” move hits your balance sheet.
In this session, you’ll discover:
About Leveraging AI
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!
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