July 17, 2026: China's Moonshot AI released Kimi K3, their largest AI model yet, and it is already testing close to OpenAI and Anthropic on major benchmarks. Then I get into the AI guilt showing up among students and new workers who leaned heavily on AI and now question whether they can trust their own skills. Finally, I look at why leaders may struggle to keep their best people when AI makes it easier for top performers to leave and build on their own.

July 16, 2026: New JLL research shows most executives expect AI to grow their teams instead of shrink them, even as layoffs continue in AI-exposed industries. Then I get into New York becoming the first state to freeze new large AI data centers, why I think that is a mistake, and what it could mean for American AI infrastructure. Finally, I unpack Apple's lawsuit against OpenAI and make my prediction that Sam Altman will not be CEO of OpenAI within the next year unless the company makes major changes.

July 15, 2026: Andreessen Horowitz's argues that AI is not simply replacing workers, it is turning every worker into a manager of agents. Then I get into Bank of America's claim that AI is already showing ROI in its earnings, and why I'm skeptical of how much of that efficiency gain can really be attributed to AI. Finally, I look at OpenAI's first physical device, a screen-free AI companion reportedly designed to feel alive, and why that matters for the future of work.

July 14, 2026: Goldman Sachs' warns that the real AI productivity payoff may not arrive until 2030 at the earliest, because companies are buying the technology faster than they are redesigning work. Then I get into the split among leading economists over whether AI needs new institutions and guardrails now, or whether early governance could slow progress. Finally, I look at IBM's major market shock and why it shows that even companies selling AI transformation can struggle when customer behavior changes faster than the organization can move.

I talk with Ron Friedman, award-winning social psychologist and bestselling author of The Best Place to Work and Super Teams, about what high-performing teams actually do differently. We get into why great teams avoid unnecessary meetings, how teammates make each other better, why feedback usually fails, and how AI is changing collaboration, curiosity, communication, and accountability at work.

July 10, 2026: Axios warns about AI's new class divide: the haves, the have-nots, and the "no-nots" who are already being shaped by AI without realizing it. Then I get into new Indeed and Business Insider data showing that AI is moving into job titles far beyond tech, from physical therapy to legal, finance, marketing, and management. The bigger issue is not just who has access to AI. It's who knows how to use it, who is being quietly managed by it, and whether leaders use AI to make people better or slowly de-skill them.

July 9, 2026: OpenAI released its new GPT 5.6 lineup, Elon Musk's xAI launched Grok 4.5, and GPT Live showed where voice-based AI may be heading next. Then I get into Uber's Agentic Pods, where the company is embedding AI-proficient engineers inside legal, finance, and HR even as leadership admits it still can't prove the ROI. Finally, I look at the Brown University AI cheating scandal, where students averaged 96 on a take-home midterm and then collapsed to 48 on an in-person final, and why this should worry every leader thinking about AI, skill, and judgment.

I talk with Yolanda Seals-Coffield, PwC US Chief People and Inclusion Officer, about how PwC is preparing 80,000 people for an AI-enabled future. We get into PwC's approach to democratizing AI access, building responsible AI habits, measuring adoption beyond token usage, and creating learning that happens directly in the flow of work. Yolanda also shares how PwC is rethinking entry-level talent, human skills, and career development as AI changes the work new graduates are expected to do.