We’ve talked about skills. We’ve talked about jobs. But what if the very foundation we’ve built the workforce on—needs to be reimagined?
In this episode of Skills Connect, Reejig CEO Siobhan Savage sits down with Amy Wilson—former Product Strategy leader at SAP SuccessFactors and Workday, now Product Strategy Advisor at Reejig—to explore the messy, urgent, and exciting business of reinventing how work works.
With decades shaping the biggest platforms in HR tech, Amy brings a rare vantage point: she’s seen where enterprise gets stuck, why tech often misses the mark, and how we can redesign from the inside out. What follows is a brutally honest, insight-rich conversation about the real roadblocks to workforce transformation—and what to do next.
Skills aren’t predictive. They reflect the past—not the future.
Job postings and resumes tell us what was trending years ago. To make better decisions, we need a real-time view of what work is being done—and what’s changing.
Takeaway: Map the work, not just the worker.
Org charts and job descriptions no longer reflect how work gets done. Internal gigs, AI agents, and agile teams exist outside formal structures—and the old frameworks can’t keep up.
The problem isn’t just inefficiency. It’s invisibility. Work is happening—but leaders can’t see it, shape it, or scale it.
Takeaway: It’s time to move from job architecture to work architecture.
Most models predict job disruption based on skills. But AI doesn’t automate skills—it automates tasks.
Looking at work only through a skills lens misses the real impact of automation. If you want to design for the future, start with the atomic unit of work: tasks.
Takeaway: Stop planning around roles. Start planning around tasks.
Data alone won’t drive change. Most systems weren’t designed to support dynamic, fast-moving work—and that limits how far transformation can go.
Even when orgs reimagine work, they’re still constrained by the tools, workflows, and platforms built for another era.
Takeaway: Modern work needs modern infrastructure.
The shift to AI-native work isn’t a trend. It’s the beginning of a permanently different way of running businesses.
The future of work isn’t something to prepare for later—it’s already happening. Every task reallocated. Every workflow redesigned. This is it.
Takeaway: Progress depends on elasticity, not certainty.
Skills are only one piece of the puzzle. To lead in an AI-native world, we need to stop labeling jobs—and start understanding work as a living system.
Design for stretch, not stress. Rebuild the systems. And reimagine what’s possible when we stop waiting for the future—and start building it.