The paradox running through every HR + AI conversation I've had


Hi Reader,

For the last few months, I’ve had many conversations with HR leaders and executives about what an AI strategy for their organization should look like. And there’s a paradox running through all of them.

Very few CEOs and C-suite leaders rely on their most senior HR leader to unlock the value of agentic AI, even though HR is usually the heaviest user of AI in the building, automating recruitment, onboarding, reporting, and compliance. I wrote about that paradox for the Forbes Coaches Council: Why HR Is Missing Out On AI Transformation—And 3 Ways To Change That.

The reason for the gap is really a matter of framing. Most leaders still treat AI as a digital transformation, one more way to automate work. What's actually underway is a workforce transformation.

So the real challenge for any HR leader now is how to reshape an organization when part of the work is done by people and part by machines.

That turns out to be a bigger job than it sounds. How do you account for the cost of a function in cost-per-output terms, not just payroll? How do you separate real headcount from AI capacity? How do you run a performance cycle for a person working alongside their AI tools? How do you build culture and employee experience around all of it?

None of those are technology questions. Every one of them is an organizational design question, and they arrive across many domains at once. Economics. Performance. Reward. Governance. Culture. Wellbeing.

And if you’re wondering how to approach all that, my friend Diana Abdrakhmanova and her team at Imperium Academy have built a 12-week program called Leading the Hybrid Workforce, which I’m planning to join myself.

It’s built for the people who own organization design, performance, reward, and culture. It goes straight at the load-bearing parts: unit economics, job architecture, governance, performance for human-and-AI roles, the legal and IP questions. By the end, you can measure a function in cost-per-output, structure reward for AI-augmented roles without grade inflation, and shape employee experience for teams where people and machines work side by side. If any of the questions above are already on your desk, it’s worth a look. The course starts next week, July 7th.

Because in the end, AI doesn’t create transformation. People do. It amplifies whatever organization it lands in — and whether that amplification creates value or chaos comes down to how the organization was built. That work is ours. It always was.

See you next week.

Daria


P.S. My full report, The State of HR in AI Transformation, is a free 30-page read — the five domains where HR's expertise is non-negotiable, the CLICK model, and candid interviews with leaders navigating this right now. It's where all of the above began, and the course picks up more or less where the report leaves off.

Check out more of our work at...

Linkedin

Connect

Youtube

Subscribe

My book

Read

If you want to get in touch, hit REPLY.

I'm happy to help!

600 1st Ave, Ste 330 PMB 92768, Seattle, WA 98104-2246
Unsubscribe or Change your preferences

Meaning Makers

A no-nonsense newsletter for busy leaders who are done with overwork and ready to scale smarter. Join a community of 15K+ leaders and followers across platforms getting concise, actionable insights on leadership, team building, and how to use AI and hybrid intelligence to make work easier—so you can earn more, go home earlier, and lead with purpose without burning out.

Read more from Meaning Makers

Hi Reader, One of the most important lessons I learned as a Chief People Officer: it's not enough to know your function. You know how to deliver engagement programs. You know how to develop people, what the key recruiting metrics are, all of it. But the most important thing — the thing that shapes a career — is understanding how your function is driving business results. And this isn't only an HR problem. The same goes for IT, admin, marketing — any function. Some get there. Some don't. Today...

Hi Reader, This week, a company asked me to help them build an AI policy. And they kind of expected me to ask them about the tools they use, the rules they apply, and how they can check whether people are actually following those rules. All reasonable questions. But I didn't start with any of them. The first three I asked were: How do your people feel about AI? How do you keep it from getting in the way of their judgment? And how do you plan to work with it, day to day? Here’s why. A policy...

Hi Reader, Yesterday I sat with the leadership team of a nonprofit. They were building their first AI governance structure. They already have tools in place. A bit here, a bit there. And then came the question I keep hearing in different forms: “We probably want more governance around all of this. But how do we even start? What’s the starting point for something that’s changing faster than we can keep up with?” It’s a fair question. And the answer tends to surprise people. You don’t start...