If you still rely on job architectures to shape your workforce strategy, you are building on a crumbling foundation. In this Work Re-engineering Podcast conversation, Micron's Dennis Di Lorenzo, former higher ed leader turned workforce strategist, joins Reejig CEO Siobhan Savage. They explain why "skills" alone do not cut it anymore. Why job descriptions are practically useless. What needs to happen next to build a business-ready, AI-augmented workforce.
Here are five bold takes for anyone serious about workforce transformation.
Skills are not the goal. Capability is. Dennis puts it plainly. The business does not care what someone knows. It cares whether they deliver value today.
"Skills are just a placeholder for workforce productivity... The real question is, can they perform the task and deliver value now?"
Bold Take: Stop framing workforce strategies around abstract skill taxonomies. Start building task-level capability models. They show what people actually do. And how fast they do it.
CEOs are not talking about AI in terms of assistance. They talk about it as a margin machine. Meanwhile, HR is still stuck thinking about workforce impacts. Not business outcomes.
"AI isn't working alongside people anymore, people have to work alongside AI. If you don't adapt, your business will be outmoded fast."
Bold Take: HR leaders must reposition themselves. This is not about employee experience. It is about redesigning your workforce. Humans and agents deliver outcomes together. This is the Agent + Human Operating Model.
Job architectures were not built to describe work. They were built to support compensation frameworks. That is a problem when work is now fluid, dynamic, and increasingly automated.
"HR took something that belongs to the business, work, and labeled it for fairness, not functionality. That model is completely broken."
Bold Take: Ditch static job models. Build dynamic task-based infrastructures that reflect how work actually happens. If you cannot see the work, you cannot reengineer it.
From Job Architecture to Work Architecture.
Most L&D teams still design two-year learning journeys for jobs that will not exist in 12 months. That is not skilling. That is wasting time and trust.
"People are doing courses for jobs they think are the future. Then two years later, those jobs are gone. That's unacceptable."
Bold Take: Shift to real-time, task-adjacent learning. Build "just-in-time" learning systems. They help people pivot as work evolves. Not after it has disappeared.
Forget long-term career ladders. The future is modular, fluid, and function-first. Short, high-impact jumps based on business needs and individual capability.
"I don't even call it career pathing anymore. It's work pathing. We're preparing people for functions, not boxes."
Bold Take: Reshape how you talk about work movement. Replace static role progression with dynamic work orchestration models. Match people to meaningful, value-generating tasks.
AI capability is compounding. Work visibility is not.
The AI-powered workforce is not a nice-to-have. It is already here. If your underlying infrastructure still depends on job architectures, outdated systems, or siloed thinking, you are setting yourself up to fail. As Dennis puts it:
"We designed HR systems for talent processes, not for the business. That's why we're falling behind."
It is time to reframe the conversation. Start with work. Build task-level intelligence with Work Intelligence. Align it to business objectives. Responsible workforce transformation means no one gets left behind.
Book a demo to see how the Work Operating System makes work visible at the task level.