Leveraging AI

·S1 E267

267 | China vaults ahead: SeeDance 2.0 leaves Sora & Veo in the dust, and starts a deep-fake tsunami, Harvard: AI usage increases labor intensity, ReantAHuman.AI allows AI agents to rent human employees, and other big AI news for the week of Feb 13, 2026

February 14
1 hr

Episode Description

What happens when AI-generated video becomes indistinguishable from reality — and it’s cheaper than lunch?

This week, the AI race took a dramatic turn. China didn’t just catch up — in some areas, it leaped ahead. And with video models that generate flawless visuals and synchronized audio in real time, we’ve entered a new era where “seeing is believing” no longer applies.

For business leaders, this isn’t just geopolitical theater. It’s a strategic inflection point. From AI-generated fraud and deepfake manipulation to workforce burnout driven by productivity acceleration, the rules of competition — and trust — are changing faster than most organizations can process.

In this episode, we break down what China’s AI surge really means, why deepfake technology is now a board-level issue, and how AI may be making your top performers more productive… and more exhausted.

In this session, you’ll discover:

  • Why China’s latest AI releases signal a shift in the global AI power balance
  • What makes ByteDance’s new video model fundamentally different from U.S. competitors
  • How AI-generated video with synchronized audio changes the fraud landscape
  • The growing legal and regulatory backlash from Hollywood and governments
  • Why “Deepfake-as-a-Service” is becoming a criminal business model
  • The real financial cost of AI-enabled fraud — and why it’s accelerating
  • Microsoft’s legal action against synthetic abuse networks
  • How governments are attempting (and struggling) to regulate synthetic media
  • Why AI may increase burnout instead of reducing workload
  • The “productivity treadmill” effect inside AI-enabled organizations
  • How AI agents are transforming coding, databases, and knowledge work
  • Why only a tiny percentage of employees are true AI power users
  • What business leaders must do now to prepare for the next wave


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