August 19, 2026: I look at new research showing that most workers would reject a promotion if it meant sacrificing their work-life boundaries, and why the traditional management promotion may no longer feel worth the cost. Then I break down reporting that Anthropic out-earned OpenAI in the second quarter. Finally, I get into the surge in boomerang employees, who now account for 35% of new hires, and why companies are increasingly bringing former workers back.

August 17, 2026: I look at Gallup's new research showing that AI adoption can improve or damage workplace culture depending heavily on one person: the direct manager. Then I get into Siemens CEO Roland Busch's approach to leadership, including short email replies, a sub-100-message inbox, and no recurring one-on-ones with direct reports. Finally, I unpack the public debate between Gavin Baker and Anthropic CEO Dario Amodei over AI fearmongering, trust, data centers, and whether AI leaders have helped create the backlash they are now trying to explain.

I talk with Lindsay Crawley-Herbert, Chief People and Transformation Officer at SCAN, about why AI transformation is really a people and workforce challenge. We get into why SCAN moved AI, data, and analytics under HR, how they built their internal GPT called SCAN X, how they manage AI costs and governance in a regulated healthcare environment, and why the goal is not replacing people but helping employees become "superhuman" with AI.

August 14, 2026: I look at OpenAI's own study on how companies use ChatGPT at work and why usage volume is not the same thing as ROI. Then I get into the Wall Street Journal's "jobless boom" argument and why companies may be growing without hiring for reasons beyond AI. Finally, I unpack Elon Musk telling SpaceX employees they will be Grok's "parents" because the AI will be trained on their work, knowledge, and contributions.

August 12, 2026: I look at Stanford's updated Canaries in the Coal Mine research, which finds young workers in highly AI-exposed jobs are falling behind while experienced workers are holding up. Then I get into Fortune's report on companies capping AI usage as token costs blow past budgets. Finally, I unpack Anthropic's plan to watermark Claude-generated output and why it raises a much bigger question about authorship: how much AI help can a document get before people stop seeing it as yours?

August 10, 2026: I look at Mark Zuckerberg's new Meta manifesto and why he's positioning open superintelligence as a direct challenge to OpenAI and Anthropic's more centralized approach. Then I get into Nissan using AI-powered cameras at its Canton, Mississippi factory to track how workers bend, twist, and move on the assembly line. Finally, I unpack WIRED's report on the rise of AI job interviews, where candidates record answers late at night and, in many cases, no human ever watches the interview.

August 6, 2026: I look at why more than a third of U.S. employers are handing out flat "peanut butter raises" even as top performers use AI to do more. Then I get into new data showing workers' share of U.S. economic output has fallen to the lowest level on record, raising a bigger question: if AI makes people more productive, who gets the gains? Finally, I unpack LinkedIn's move to reduce AI slop and why polished AI-generated work is becoming a real credibility problem inside companies.

August 5, 2026: I look at the Wall Street Journal story on parents getting involved in their adult children's careers, from job fairs to calls with hiring managers. Then I get into a new KPMG survey showing interns now rank career growth above salary and work-life balance, with 93% aspiring to reach senior leadership. Finally, I unpack LinkedIn's 2026 Top Colleges list and why families should think less about prestige and more about outcomes, cost, skills, and career ROI.