Executive Summary: AI is changing how work gets done, but it hasn't changed the fundamentals of building a capable workforce. Organizations still need to know what problems they're trying to solve, identify the skills their people need, and create room for employees to adapt. The technology may be moving faster, but the responsibility to connect workforce investments to business outcomes remains the same.

Over the past year, I’ve heard business leaders express urgency about bringing AI into their organizations, while still not knowing exactly what employees will need to do differently once it arrives.

For many organizations, the early focus has been on getting tools into people's hands. Licenses are purchased, policies are developed, and AI skills training begins. Those are important steps, but they don't tell us whether employees are prepared to use the technology effectively, or whether the business is seeing meaningful results.

I think that's where some organizations risk getting ahead of themselves. We're moving quickly to answer questions with technology before fully understanding the workforce challenges we want it to address.

At our recent IMPACT summit, many conversations about AI arrived at the same question: What problem are we trying to solve?

At one financial institution, leaders initially approached AI through the lens of risk, a natural starting point for a regulated industry. But employee feedback revealed another opportunity. People were navigating complicated processes and wanted tools that could help them work more effectively. That insight helped shift the organization's thinking from managing risk alone toward enabling employees to do their jobs better.

It's a useful example because the conversation moved from AI adoption to employee experience and how technology could improve the work itself.

Whether an organization is trying to improve operational efficiency, strengthen customer relationships, address skills gaps, or prepare people for changing roles, the starting points should be the business outcome and the people responsible for achieving it.

AI readiness isn't simply about access to technology or the number of employees completing training. It's about whether people have the capabilities, confidence, and support to apply what they're learning in ways that improve their work.

That requires leaders who understand how roles are evolving, employees who feel comfortable experimenting, and learning opportunities connected to the situations people encounter every day.

Another theme from IMPACT reinforced something I've been thinking about: as technology becomes more capable, the human side of workforce strategy only becomes more important.

Take Deloitte's 2026 Human Capital Trends research, which goes beyond what AI can automate to explore the human capabilities that help organizations create value alongside technology.

Judgment, critical thinking, creativity, collaboration, and empathy—these aren't new skill sets. But the ways employees use those capabilities are changing. Someone who once completed a task independently may now need to evaluate AI-generated recommendations and recognize when something doesn't look right.

Eusebio Scornavacca, Director and Professor at Arizona State University, says that adopting technology and adapting to it are two different things. AI skills development can't be treated as a one-time training event when the tools, workflows, and expectations surrounding them continue to evolve.

Organizations need to create opportunities for employees to learn, experiment, apply new capabilities, and adjust as the work changes. That means connecting learning and development with workforce planning and business objectives rather than treating AI upskilling as a separate initiative.

It also means thinking differently about measurement. Training participation and tool adoption can tell us whether employees are engaging, but they don't tell the whole story. Leaders need to understand whether those investments are improving performance, helping employees take on new responsibilities, or creating capabilities the organization will need in the future.

To me, that's the real opportunity amid workforce transformation. AI creates new ways to solve problems. Good workforce strategy still starts with understanding people, their priorities, and the work they’re trying to improve.

AI hasn't changed where good workforce strategy begins. It has made getting those fundamentals right more important than ever.

Continue the conversation

Many organizations are asking similar questions about workforce strategy, internal mobility, and how to prepare for what's next.

If you'd like to compare notes or learn how other organizations are approaching these challenges, we'd be happy to continue the conversation.

Talk with an InStride workforce strategy expert