In this episode, we delve into Ray Dalio's assertion that the post-1945 world order has officially broken down, ushering in an era where 'might makes right' and great-power conflicts loom. Understanding these historical cycles isn't just academic—it's crucial for navigating the economic and political upheavals that could reshape our lives and livelihoods.

In this episode, we dive into The Atlantic's eye-opening piece, "America Isn’t Ready for What AI Will Do to Jobs," exploring how artificial intelligence is poised to reshape the workforce faster than our institutions can adapt. Join us as we uncover the historical lessons from the Industrial Revolution and discuss the urgent need for modern strategies to measure and manage AI's impact on employment.

In his recent essay, "Something Big Is Happening," Matt Shumer reveals how AI advancements are not just on the horizon—they're already reshaping our work and lives. From AI systems autonomously coding complex software to the potential displacement of white-collar jobs, we explore the rapid acceleration of AI capabilities and what it means for all of us. ([shumer.dev](https://shumer.dev/something-big-is-happening?utm_source=openai))

A top CEO drops a bombshell: AI videos won't kill tech jobs—they'll supercharge collaboration in ways we never imagined, says Fox Business. Amid fears of disruption, this optimistic take highlights partnerships transforming industries from media to manufacturing. It's a fresh perspective that could calm nerves and spark innovation for workers everywhere.

At CES 2026, Hollywood insiders, tech companies, and creators clashed—and sometimes aligned—over how AI video tools will reshape storytelling. Some see AI as a powerful assistant that lowers barriers so anyone can craft cinematic visuals, while others warn about data theft, lost jobs, and who gets paid when AI is trained on creative work. This debate matters because it’s setting the norms, business models, and guardrails for the next generation of video production.[1]

Discover how AI is quietly revolutionizing our daily lives by tackling the invisible workload of unpaid domestic labor, which accounts for up to 9% of global GDP. ([apec.org](https://www.apec.org/publications/2022/03/unpaid-care-and-domestic-work-counting-the-costs?utm_source=openai)) Join us as we explore how this hidden productivity surge is reshaping our time and well-being, even if it doesn't show up in traditional economic metrics.

Is the AI boom a bubble, or are we witnessing a transformative shift? In this episode, we delve into George Soros's theory of reflexivity to unravel the self-reinforcing cycles driving AI investments and valuations. Understanding these dynamics is crucial for founders and investors aiming to distinguish between genuine innovation and market hype.

In this episode of Splento AI, we dive into the massive wave of AI infrastructure spending—tens of billions poured into data centers and chips—and question whether this boom mirrors past bubbles like the late '90s telecom surge. Join us as we explore the risks of overinvestment, the shift of Big Tech into capital-intensive ventures, and the assumptions driving this debt-fueled expansion. Is today's AI infrastructure the foundation of a new era, or are we building data castles on sand?

Join us as we sit down with Koray Kavukcuoglu, Google's Chief AI Architect, to explore how the groundbreaking Gemini 3 model is seamlessly integrating artificial intelligence into the tools we use every day. Discover how this shift from abstract AI research to practical applications is quietly transforming our digital experiences and paving the way toward artificial general intelligence.

When Nvidia CEO Jensen Huang's offhand remark at CES 2026 sent Sandisk's stock soaring by 28% in a single day, it wasn't just a market blip—it was a $16 billion question mark. Join us as we unravel how a few words from the leather-jacketed AI icon could ignite such a frenzy, and what this reveals about the volatile intersection of AI, market momentum, and investor psychology.