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, Reejig CEO Siobhan Savage sits down with Amy Wilson. Amy is a former Product Strategy leader at SAP SuccessFactors and Workday. She is now Product Strategy Advisor at Reejig. Together they explore the messy, urgent, and exciting business of reinventing how work works.
With decades shaping the biggest platforms in enterprise AI infrastructure, Amy brings a rare vantage point. She's seen where enterprise gets stuck. She knows why tech often misses the mark. And she knows how we can redesign from the inside out. What follows is a brutally honest, insight-rich conversation about the real roadblocks to workforce redesign.
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 work. What's being done? 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. 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.
AI capability is compounding. Work visibility is not.
Takeaway: 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 through a skills lens misses the real impact. 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 create change. Most systems weren't designed for dynamic, fast-moving work. That limits how far redesign can go.
Even when organizations reimagine work, they're constrained. The workflows and platforms were built for another era.
Takeaway: Modern work needs modern infrastructure.
The shift to AI-native work isn't a trend. It's a permanently different way of running businesses.
The future of work is 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. We need to start understanding work as a living system.
Design for stretch, not stress. Rebuild the systems. Reimagine what's possible when we stop waiting for the future and start building it.