This week on AI Experience, we explore how artificial intelligence is starting to make decisions, invent dishes… and even restore works of art. Why are lawyers still using ChatGPT, even when it gets them sanctioned?

What happens when an AI agent can act in the real world, without human oversight?

Will Disney and NBC Universal slow down the rise of generative AI?

And what if an AI could restore a 15th-century painting in just a few hours?

Through five key stories, we look at the promises — and the red lines — of automation through AI, across fields as diverse as law, gastronomy, art, and entertainment.

With one question always in the background: how far are we willing to go in handing over our creativity, our judgment… or our trust?

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Can you still build meaningful relationships with your audience when AI enters the conversation?

In this episode, we explore how artificial intelligence is reshaping the way brands design, manage, and sustain their communities. From chatbots to generative content, AI tools are accelerating workflows—but at what cost to trust, connection, and belonging? You’ll learn why efficiency isn’t the same as engagement, how AI can augment (not replace) community-building, and what it means to design experiences that feel human—even when they’re not.

Our guest, Jake McKee, is a veteran community strategist and the founder of AIX Sessions. He shares practical insights from decades of helping brands like LEGO and Apple navigate the intersection of technology and human connection.

If you're working on customer engagement, product communities, or brand loyalty, this episode will help you ask better questions—and avoid the most common pitfalls of AI integration.

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This week on AI Weekly Digest, we dive into the dark side of AI therapy: what if your chatbot confessions became surveillance tools in the hands of an authoritarian state?

We also discuss AI-powered textbooks in South Korea and Reid Hoffman's call to reinvent higher education in the age of generative tools.

In media news, an AI-generated summer reading guide features books that don’t even exist.

Researchers reveal that when grouped together, AIs develop their own social norms.

And finally, young graduates are watching their first jobs disappear—sometimes replaced by AI before they even get a chance.

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This week on AI Weekly Digest, we break down the most important AI news stories—beyond the headlines and the hype. On the agenda: – In Bowling Green, Kentucky, a small city uses AI to shape its 25-year urban plan. Is this the future of civic participation, or just another digital gimmick? – Once hailed as the hottest AI job, the prompt engineer is already disappearing. What happened? – Perplexity, the AI-powered search engine, wants to challenge Google — by tracking your every move online. – Lyft launches an AI assistant to help its drivers earn more by planning smarter routes. A new step in the gig economy's AI transformation. – And finally, the most advanced AI models are getting stronger... but also more prone to hallucinations. Even OpenAI doesn’t know exactly why. Five stories, five perspectives — to understand how AI is reshaping our tools, our work, and the tough questions we face.

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What if your security system could detect a medical emergency—before anyone called for help?

In this episode of AI Experience, you’ll meet Egor Olteanu, co-founder and CEO of VOLT AI, a company at the intersection of artificial intelligence, safety, and real-time video surveillance. After serving in the U.S. Army and working at Google X, Egor set out to solve a problem most security teams quietly live with: video feeds are rarely watched, and alerts often come too late. You'll hear how VOLT’s AI connects to existing cameras to detect anomalies in real time—from fights and seizures to intrusions after hours.

Together, we explore what it means to shift from passive observation to proactive detection, what AI can actually "understand" from a scene, and how human guards and machines can work together without one replacing the other. If you work in education, corporate security, or just want to understand how AI is reshaping public safety, this conversation will give you a clear and concrete view of what’s changing—and what’s still to come.

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What if the most confident answer your AI gives you… was completely made up?

In this episode, you’ll hear from Daniel Wilson, AI and Data Sovereignty Advisor to Malaysia’s National AI Office and founder of InfoScience AI. With years of hands-on experience in neuromorphic systems and secure AI architectures, Daniel helps you unpack a central paradox of generative models: why they hallucinate, why that might not be a bug, and how you can reduce the risk when using them. Together, you explore the mechanics of inference, the limits of context windows, and the subtle art of prompting.

Daniel also explains how AI hallucinations mirror aspects of human memory—and what it takes to design systems that truly know when they don’t know. If you’ve ever used AI in your work, this episode will give you the tools to better understand its blind spots—and maybe your own.

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This week in AI news: the U.S. military is testing AI to interpret the world, the future of AI-powered fast food, proof of humanity may soon be required for remote interviews, Gen X unease in the workplace, and Shopify now prioritizes AI over humans.

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Can a car feel the road beneath its wheels—and should it?

In this episode of AI Experience, we explore how artificial intelligence is enabling vehicles to sense their environment in an entirely new way. Boaz Mizrachi, co-founder and CTO of Tactile Mobility, explains how AI-powered virtual sensors can estimate grip, friction, and road conditions—without adding any new hardware. Drawing on 30+ years of experience in signal processing and system design, Boaz reveals how this technology mimics the instincts of a professional driver and why visual data alone isn’t enough for autonomous vehicles.

We also discuss the limits of generative AI in edge computing, how tactile sensing can close the final 1% gap in safety, and what it takes to train AI models on real-world driving data collected across all conditions—from icy Canadian roads to dusty summer highways.
If you’re curious about the next frontier of mobility and the role AI will play in making it safer, smarter, and more responsive, this episode is a must-listen.

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