Human Capitalist

Human Capitalist I'm ready to give the HR industry the punch it needs to become more focused on Human Capital versus the old stauncy HR. It's time for a Human Capitalist!

I’m thrilled to have you here as we dive into the future of Human Resources together.

05/04/2026

If you want a seat at the table, you have to speak their language — revenue, cash, governance. Not HR.

Watch the full episode: https://bit.ly/4tQF5RO













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Sonnet 4.6

02/25/2026

Your AI governance policy has a gap in it, and it fits in your employee's pocket. I didn't know this one term: Shadow AI. It's is a real thing.

It refers to employees using AI tools outside of your approved systems.

Can't access it on the work laptop? No problem. Phone's right there. ChatGPT loads in seconds.

Every governance guardrail you built? Largely irrelevant at that point.

And the frustrating part is these aren't bad actors. These are people who want to use AI, can't get access through official channels, and found a workaround.

If your workforce is going around your systems, the answer isn't tighter restrictions.

It's asking why the front door is so hard to walk through.

Watch the full episode here: https://youtu.be/akgy6uxPIKU

02/24/2026

AI is making your best people more productive and more burned out at the same time.
Research is starting to surface something uncomfortable.

Workers who aggressively adopt AI tools are putting up better numbers. But they're also working longer hours.

Most organizations are still in the testing and piloting phase. That's the hardest part of the curve.

Before you push harder on AI adoption, ask your HR team one question. Are we tracking fatigue alongside productivity?

If the answer is no, you're measuring half the picture.

Full episode here: https://youtu.be/akgy6uxPIKU

02/18/2026

In this video, I tackle the misconception that merely teaching "ai skills" or offering "ai literacy" training is enough for successful AI implementation. While "ai in education" is important, I argue that organizations often fail because they overlook the critical aspect of decision rights within "ai applications." The focus should be on how "human-ai orchestration" integrates with governance, not just on individual proficiency.

Full episode here: https://youtu.be/LztahI4U57E

02/17/2026

Most organizations are redesigning their org charts before they understand where value moved.

That's decision error number one.

Here's the pattern I keep seeing.

AI automates tasks. Leaders feel pressure to act. They reach for the most visible lever: headcount.

They remove roles. Flatten layers. Consolidate spans of control.

On paper, it looks efficient.

But AI doesn't just take work away. It changes where the hard decisions live.

It connects systems. It surfaces conflicts. It collapses work that used to require multiple people to translate.

Which means the value doesn't vanish. It shifts.

Into judgment. Into orchestration. Into deciding when to trust the system and when to override it.

Research from McKinsey, BCG, and Oliver Wyman all points to the same thing. As AI moves into ex*****on, humans shift into framing problems, deciding trade-offs, and coordinating across people, agents, and robots.

That work usually lives in the middle.

Cut those roles before you redefine what they do, and you don't become faster. You become brittle.

MIT found that 95% of enterprise gen-AI pilots fail to deliver ROI. Not because the tech doesn't work. Because companies force AI into existing structures instead of rethinking workflows from scratch.

Zillow is the example worth studying.

They leaned hard on pricing algorithms. Overpaid for homes. Exited iBuying. Laid off a quarter of their people.

The problem wasn't the algorithm. It was over-reliance on automated signals without adequate human oversight.

No one reconciled the trade-offs. No one owned the gray areas. No one caught the conflicts until the damage was done.

That's what happens when you cut coordination before you redesign it.

You don't get leaner. You get vulnerable.

I break this down in detail here: https://youtu.be/kpxVGukwodQ

02/16/2026

Where do I see most AI decision errors landing?

I get into that in the latest post in my mini series "AI Decision Errors". Here's a clip but check out the full video here: https://youtu.be/LztahI4U57E

The real story behind “25,000 AI employees”Saying McKinsey now has 60,000 employees, of which 25,000 are AI agents, is a...
01/21/2026

The real story behind “25,000 AI employees”

Saying McKinsey now has 60,000 employees, of which 25,000 are AI agents, is a deliberate act of reframing, not a slip of the tongue. In interviews and conference appearances over the past few weeks, CEO Bob Sternfels has repeated some version of the same math: roughly 40,000 humans, nearly 25,000 agents, with a goal of giving every employee at least one agent within the next 18 months.

Checkout the latest on my LinkedIn Newsletter. Link in bio!

01/15/2026

Changing perceptions of `skilled trades` are reshaping our `economy` and `job market`.While a four-year degree was once the ultimate goal, simply having `employment` is becoming increasingly valued. This shift impacts our `career` paths and highlights the evolving nature of `work`.

Check out this clip and watch the full episode here: https://youtu.be/y3BR5R6SI_o

01/14/2026

"Never talk ill of your competition." This was some of the best advice I got early in my career.

Check out this clip and watch the full episode here: https://youtu.be/y3BR5R6SI_o

01/13/2026

Do you want to see me do a hard eye roll? Mention skill based hiring. Here's a clip from my latest podcast episode on the topic.

Check out this clip and watch the full episode here: https://youtu.be/y3BR5R6SI_o

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