How Micron Is Building an AI-Powered Workforce

At Micron, the journey toward an AI-powered workforce didn’t start with AI. It started with a deceptively simple question: Do we actually understand the work our people do?

What followed was a strategic shift that turned an HR-led skilling project into a company-wide transformation effort.

In a recent Reejig webinar, Micron’s Director of Skilling Strategy, Dennis Di Lorenzo, joined Reejig CEO Siobhan Savage and Josh Bersin, CEO and Co-founder of The Josh Bersin Company, to share how Micron is building its future workforce—by starting with the fundamentals of work.

Here’s what stood out.

From Skills to Work: Rethinking the Foundation

Micron, like many large organizations, had invested heavily in skills initiatives—building taxonomies, launching learning content, and aligning skills to business priorities. But the results didn’t meet expectations.

“We had all these skills-focused initiatives—but they weren’t moving the productivity needle.”

The reason? Skills were being managed as a standalone concept, disconnected from the actual tasks people performed. Job architectures were based on titles and bands, not the real work happening every day.

This disconnect prompted Micron to pivot. Instead of focusing on skills in the abstract, they began by building visibility into work itself.

The Breakthrough: Mapping Work at the Task Level

With Reejig’s Work Ontology, Micron began mapping its organization at the task and subtask level. This allowed them to see how work was really being done—and where it could be redesigned, streamlined, or supported by AI.

“It sounds simple, but we didn’t have a reliable enterprise-wide view of what people were doing beyond job titles.”

The result was a new kind of foundation—not just for workforce development, but for business transformation.

Work intelligence gave Micron the clarity to validate skill proficiency, align learning to operational needs, and identify where automation could create efficiency without eroding value.

AI Accelerated the Urgency—and the Scope

As generative AI entered the business, Micron’s need for work intelligence moved from strategic to urgent. Every AI deployment had downstream effects: some tasks disappeared, others emerged, and many changed form.

Without a real-time map of tasks, Micron couldn’t measure the impact—or plan for what came next.

That’s when the initiative gained executive attention. A skilling summit helped leadership see how this work intelligence could inform predictive decisions about future workforce needs, talent pathways, and AI-human collaboration models.

What began as an HR-led project was now supported at the CEO level—positioned as core infrastructure for transformation.

Designing for Value, Not Just Efficiency

One of Micron’s most meaningful shifts wasn’t technological—it was philosophical.

Instead of trying to make the existing system more efficient, they asked: What does value look like in an AI-enabled organization?

“We're starting to rethink the value model. Maybe we're getting 80% of the value in 20 hours. That's a different design of leadership, of performance.”

This evolution is forcing the company to revisit legacy assumptions—from how performance is measured to how leaders define team success.

Building a Living, Adaptive Model of Work

Crucially, Micron isn’t treating this as a one-time project. Their new work architecture is designed to evolve continuously—as AI capabilities grow, tasks shift, and business needs change.

Work intelligence is now embedded across the organization—supporting real-time planning, learning personalization, workforce mobility, and governance decisions.

“This isn’t a skilling project. This is an organizational change movement.”

What Other Organizations Can Learn

Micron’s journey offers a clear blueprint for companies navigating the future of work:

• Start with work, not skills. Without understanding tasks, any reskilling or automation strategy will miss the mark.
• Build trust in the data. A clear, validated view of work builds alignment across HR, IT, and the business.
• Rethink how value is measured. Move beyond hours and headcount toward output, contribution, and agility.
• Design for change. AI is not a destination—it’s a continuous evolution. Your systems must flex with it.
  

The Bottom Line

Micron is proving that the key to an AI-powered workforce isn’t technology alone—it’s clarity.

By deeply understanding work at the task level, they’ve built the foundation for a workforce strategy that’s dynamic, responsible, and scalable.

Skills still matter. But they only matter when they’re mapped to real work, in real time, and in alignment with real business goals.

That’s what separates a future-ready organization from a reactive one.

Ready to start your journey?

Book a strategy session with a Reejig Work Strategist to explore how work intelligence can power transformation in your business.