Reejig Blog

Jason Averbook on CHRO AI strategy and workforce redesign

Written by Reejig | Apr 24, 2025 6:11:13 AM

Workforce transformation is in a state of flux.

We're caught up in buzzwords like "employee experience." Meanwhile, the way work gets done is evolving fast. Organizations focus on skills. But the pressure for results has never been higher.

AI is shifting the landscape of who does the work. And how.

In this episode, Reejig CEO Siobhan Savage speaks with Jason Averbook. Jason is a Senior Partner at Mercer and a leader in enterprise AI infrastructure. With decades of experience, Jason reveals why businesses still stumble over outdated strategies. And what they must do to integrate AI, redesign workflows, and build a future-ready workforce.

Every enterprise is deploying AI. Almost none can see the work they're deploying it into.

1. Change isn't the enemy. It is the strategy.

Too often, change is treated as something to manage. Or delay. Or delegate. But the world is shifting systemically. Across work, government, education, and society. Standing still is the real risk.

Organizations need to get off the barge and onto the jet ski. That means mindset shifts first. Systems second.

Takeaway: Stop fearing change. Start building for it.

2. Jobs don't matter. Tasks do.

Job codes, FTEs, and salary bands still dominate workforce planning. But they don't reflect how work actually happens.

The real opportunity lies in understanding the building blocks of work. Then we can redesign roles and reassign work. We can reimagine what people and AI do together.

Takeaway: Map your work at the task level. That's where transformation starts.

3. Most companies are laying off the wrong people and hiring the wrong ones

Without the right data, workforce decisions are guesswork. Most organizations still operate in the dark.

It's not about headcount. It's about capability. Without a clear view of work being done, strategy breaks.

Takeaway: Make people decisions based on evidence. Not legacy org charts.

4. Stop blaming the tech. Start fixing the data.

Generative AI isn't magic. It runs on data. Most companies don't have the foundations in place.

Whether it's Microsoft Copilot or internal AI models, outcomes depend on the data underneath. Garbage in, garbage out.

Takeaway: Good AI starts with clean, contextual, and connected data.

5. Digital does not equal technology

Digital transformation has nothing to do with software. It's about shifting how people think, work, and design for the future.

The organizations that win won't just implement AI. They'll embody it. They'll shape how humans and agents team up. Not just coexist.

Takeaway: Don't adopt AI. Live it. Start with purpose, not platform.

Final thought: be the one who builds what's next

The CHRO of the future won't be a compliance manager. They won't be a policy gatekeeper. They'll be a Chief Work Designer. Breaking down silos. Rethinking roles. Orchestrating human and AI capability at scale.

Whether you're a bold early adopter or still getting your data house in order, the message is clear. This isn't about five-year plans. It's about five-day momentum. The world is changing. Now's the time to choose how you lead.