Are current AI models smart enough to rule the world — or just house cats with fancy vocabulary?

This week, a tectonic shift is happening in AI: Meta's chief scientist Jan LeCun quits to chase world models, Fei-Fei Li launches Marble, a spatial intelligence engine, and DeepMind drops CMA-2, a self-taught gamer bot that might be the blueprint for AGI.

Meanwhile, OpenAI releases GPT-5.1 — and China’s Kimi K2 and Ernie 5.0 roll out shockingly powerful, ultra-low-cost models. The AI race isn’t just about intelligence anymore — it’s about who can afford to scale.

If you lead a business, this episode explains why spatial intelligence, not language, may soon be your competitive edge.

The next wave of AI isn’t just about better answers, it’s about deeper understanding, real-world interaction, and models that scale affordably. If you’re not watching spatial intelligence, you’re already behind.

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!

Great ideas are cheap. Great execution? That’s where the magic is.

In this *step-by-step session for business leaders, AI creator and strategist **Pietro Montaldo* will show you exactly how he goes from *a raw idea* to *a working AI prototype*—in just hours, not weeks. No code required. No technical background needed. Just the right tools, a smart process, and a little experimentation.

You’ll walk away with Pietro’s full framework:
✅ How to choose ideas that are worth building
✅ How to match the right tools to the right use case
✅ The exact steps he uses to create micro-apps that actually work
✅ And how he turns them into high-performing content that attracts serious business opportunities

Pietro Montaldo is the founder of *N-Force, an AI automation and content strategy powerhouse. In just 90 days, he went from a few hundred to **10,000+ highly engaged followers on LinkedIn* by sharing the exact AI tools and workflows he builds himself. His hands-on approach helps companies and creators stop theorizing and start shipping. Expect clarity, wit, and a flood of practical insights.

Follow Pietro on:

Linkedin: https://www.linkedin.com/in/pietromontaldo/

YouTube: https://www.youtube.com/@PietroMontaldo

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!

Learn more about Advance Course (Master the Art of End-to-End AI Automation): https://multiplai.ai/advance-course/

Learn more about AI Business Transformation Course: https://multiplai.ai/ai-course/

Is your company’s next hire… an AI agent?

This week, Federal Reserve Chair Jerome Powell quietly sounded the alarm: job creation is stalling—and AI is likely behind it. Meanwhile, OpenAI is writing trillion-dollar checks its revenue can’t yet cash, and Apple’s Siri might finally be getting a real brain… courtesy of Google.

If you’re a business leader navigating 2026 and beyond, this is the episode you can’t afford to miss.

From massive layoffs masked as "rebalancing" to the quiet data wars fueling generative models, this episode maps the uncomfortable truths—and powerful opportunities—every executive should be tracking.

🔑 Key Takeaways for Business Leaders

• The Fed just quietly admitted it: AI is flattening job growth—and it’s not temporary.
• Satya Nadella says the next year is all about “unlearning.” New org charts, new workflows, and fewer people.
• The irony of AI job creation? Most new roles involve training the tech that will replace you.
• OpenAI’s $1.4T spending plan doesn’t add up. Not even with Sam Altman’s most optimistic projections.
• The real tech bottleneck? Power. Microsoft is sitting on idle GPUs because the grid can’t handle the load.
• Agentic browsers are coming for your interface. Today’s apps are tomorrow’s legacy software.
• Amazon wants to block AI agents. Shopify is welcoming them with open arms—and gaining traction.
• Coca-Cola just made its holiday ad with AI. The message is clear: even legacy branding is being reimagined.
• China’s catching up—fast. Alibaba’s models are now outperforming GPT-4 on elite math benchmarks.
• Michael Burry is shorting Nvidia. Should you worry? Depends how exposed you are to the AI infrastructure play.
• Copyright law is broken. Getty’s lawsuit failed—your content might already be training someone’s next model.
• Hardware is going wearable. Glasses, rings, humanoid robots—each collecting more real-world training data.
• We’re not in a bubble. Yet. But Gartner says product supply already outpaces enterprise demand.

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!