Many companies try to solve low morale with simple perks like wellness apps, but workers often care more about real pay and career growth. The big challenge today is keeping frontline employees happy while the world worries about AI impact and high turnover. What could be the most substantial, meaningful investments leaders can make that truly build real loyalty? In this episode, Paul Marchand, EVP and CHRO of Charter Communications, more popularly known as Spectrum, discusses how to invest in people to create a better customer experience. He explains the strategy behind helping a 95,000-person workforce through absorbing rising benefit costs and programs like frictionless, prepaid tuition reimbursement and a unique employee stock purchase plan designed to build an owner mindset. Paul shares how "open mic" sessions at Charter improve their employee retention, and the way Spectrum GPT is being used to make HR more efficient. We also explore the 'high school pathways' initiative, upcoming M&A integration with Cox Communications, and how HR role evolution is turning leaders into Chief Future of Work Officers, going far beyond traditional employee management. This episode shows CHROs how to use a people-first strategy to build a resilient and competitive workforce.

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Quick heads-up: my new book, The 8 Laws of Employee Experience, is a practical playbook for building an environment where people do their best work—order a copy here: 8EXlaws.com

Feb 20, 2026: AI is already deciding who gets hired, promoted, and fired — and there are almost no rules governing how it does any of that.

In this episode, I'm building those rules. I call them the Five Laws of AI in the Workplace, constructed in the spirit of Asimov's Three Laws of Robotics — rigorous enough to pressure-test, honest enough to admit where they fall short.

We cover the Law of Transparency — why 30 million job applicants in 2024 were evaluated by algorithms they never knew existed. The Law of Human Primacy — why a human rubber-stamping an AI decision isn't the same as a human making one. The Law of Honest Attribution — why AI washing is one of the most underreported forms of corporate dishonesty happening right now. The Law of True Cost Accounting — why the real costs of workforce cuts don't disappear, they just move to taxpayers and communities. And the Law of Reversibility — the full Klarna story, and why 31% of companies that made AI-driven layoffs ended up worse off than if they'd never done it.

February 19, 2026: AI is rapidly becoming a career requirement and the workforce is splitting into those who can adapt and those who get squeezed.

In today's episode, I cover 5 stories that reveal what's changing right now:

1. The best AI job risk analysis I've seen: who's exposed, who can adapt, and which roles are most vulnerable

2. Accenture reportedly tying promotions to AI tool adoption—what this signals and why it can backfire

3. Why the "AI will replace you" narrative is dangerous—and how fear distorts leadership decisions

4. Walmart's approach: training 1.6 million workers on AI instead of using AI as a reason to cut headcount

5. Google + Ipsos data: only 5% of workers are AI fluent—and the gap is already linked to raises and promotions

I also share the bigger takeaway: the future isn't just "learn AI." It's building adaptive capacity, creating real mobility pathways, and upgrading people at scale while keeping human judgment and accountability at the center.

If you lead people, culture, or strategy, this episode will help you see what's happening—and what to do next.