You Can't Plan a Workforce You Don't Know

AI has officially entered the workforce planning conversation. According to The Conference Board's latest CHRO survey, 82% of chief human resources officers say their organizations have changed how they plan their workforce because of AI.

But look closer. Half describe the change as only slight. Just 7% call it significant. And only 19% have built AI's anticipated effects into workforce and financial planning across the enterprise.

The most common changes tell the story. Among organizations that have adjusted their planning, 67% have analyzed AI's potential impact on jobs, tasks or workforce demand. That is useful work. But it is also the problem.

We Are Planning Around Tasks, Not People

When AI enters the room, most organizations do what they have always done. They break work into jobs, break jobs into tasks, and ask which tasks a machine can do. Then they count how many people they will need for what remains.

It sounds rigorous. But it treats people as containers for tasks. And it misses the most important question in the age of AI: what does each person uniquely bring that the job description never captured?

A task inventory tells you what work exists today. It tells you almost nothing about who in your organization could solve tomorrow's problems, because most organizations have never asked.

The Inventory Nobody Has

For years, I have asked leaders a simple question about their people: what do they naturally solve for? Not what their title solves for. What they solve for when no one is directing them.

Most leaders can't answer it for more than a handful of people. They know titles, tenure and performance ratings. They rarely know the strengths, perspectives and instincts people bring that sit outside their role. I've written about why what your people naturally solve for is the most underused data in any organization.

That gap matters more now than ever. When AI absorbs the standardized parts of work, what remains is judgment, creativity and the ability to see what others miss. Those are not distributed by job title. They are distributed by individual.

If you don't know who has them, you can't plan for them.

This is also why so many workforce plans feel incomplete even after months of analysis. They answer the question of how much work will remain, but not the question of who is best suited to do it.

Why the Skills Gap Feels So Large

The same survey found that 39% of CHROs see limited AI skills in the current workforce as a top barrier. I don't doubt that technical skills need to grow. But I believe the gap looks larger than it is because organizations are measuring the wrong things.

They are measuring what people were hired to do. They are not measuring what people are capable of contributing. In my experience, most organizations have far more capability than they realize. It is simply left asleep, because no one has invited it into the work.

I often say most people's ideas aren't missing. They are suppressed. The same is true of skills. People learn quickly which parts of themselves the organization values, and they stop offering the rest.

Plan Around Identities, Not Just Roles

Here is how I would rethink workforce planning for the age of AI.

Start with an identity inventory, not a task inventory. Ask every person what they naturally solve for, what they are learning, and what they would contribute if their role didn't limit them. Treat the answers as planning data.

Map capability, not just headcount. When you analyze which tasks AI will absorb, also ask who on your team is best positioned to move into the work that remains. You may already have the people you think you need to hire.

Bring the people being planned for into the plan. The people doing the work see where it is changing long before a planning model does. Their fingerprints should be on the plan.

Revisit it quarterly. Only 20% of organizations have increased how often they plan. In a world changing this fast, an annual plan is out of date before the year is half over.

The Plan That Works Starts With the Person

Standardized planning made sense when work was predictable. You could count roles, fill them and repeat. AI has ended that predictability. It is reshaping which tasks exist, and it is raising the value of what only humans can bring.

That is why the organizations that plan best in the coming years won't be the ones with the most sophisticated models. They will be the ones that know their people best: who they are, what they solve for and who they are becoming.

You can't plan a workforce you don't know. But once you know them, you will discover you have been planning with only part of the picture.

Want to explore these ideas further? Learn more about my work on leadership, identity and conviction at www.theglennllopis.com.