
Sign up to save your podcasts
Or


👉 Fill out the listener survey - https://services.multiplai.ai/lai-survey
👉 Learn more about the AI Business Transformation Course starting August 11 — 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!
By Isar Meitis4.8
5959 ratings
👉 Fill out the listener survey - https://services.multiplai.ai/lai-survey
👉 Learn more about the AI Business Transformation Course starting August 11 — 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!

334 Listeners

211 Listeners

306 Listeners

197 Listeners

154 Listeners

227 Listeners

610 Listeners

107 Listeners

54 Listeners

173 Listeners

55 Listeners

146 Listeners

96 Listeners

62 Listeners

24 Listeners