Reejig Blog

Brian Hackett on why AI pilots fail without work design

Written by Reejig | Mar 27, 2025 6:30:02 AM

There's no more time for "wait and see."

As AI reshapes every function of the enterprise, the question isn't whether work will change. It's whether workforce leaders will lead that change. Or be sidelined by it.

That's why the Work Design Collaborative exists. A joint initiative between The Learning Forum and Reejig. It brings together 60 senior workforce leaders from Fortune 500 companies. They are doing what no one else is doing: designing the AI-powered workforce of tomorrow.

Here are five brutal truths from a raw and practical conversation between Siobhan Savage (CEO of Reejig) and Brian Hackett (Founder of The Learning Forum).

1. Workforce leaders aren't leading AI strategy. It shows.

The problem: Most AI initiatives are driven by tech and ops teams. Workforce leaders aren't even in the room.

"I'm in conversations with CEOs, CFOs, COOs. And I'm asking, 'Where's the people team?' They don't even know the project is happening."

Siobhan Savage

Why it matters: If workforce leaders don't claim their seat now, the business will redesign work without them. AI reshapes tasks, roles, and learning needs. Whether leaders are ready or not.

What to do: Stop waiting for an invite. Hunt down your AI strategy team. Bring your expertise on workforce design.

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

2. Capability-only strategies are already outdated

The problem: A capability-only approach can't keep up with AI-driven work. Tasks, not capabilities, are what AI actually automates.

"People have capabilities. Work has tasks. And if you're only tracking capabilities, you're missing the point."

Siobhan Savage

"It's not just about capabilities. It's about tasks. It's about teams. It's about how people get work done."

Brian Hackett

Why it matters: AI doesn't replace capabilities. It replaces tasks. You need to understand work at the task level. That's how you know what stays, what changes, and what gets automated.

From Job Architecture to Work Architecture.

What to do: Shift from a capability-only mindset to a work design mindset. Map tasks, processes, and outcomes. That's the foundation for AI-readiness and workforce redesign.

3. L&D is being bypassed by AI and by workers

The problem: Learning and development teams are left out of the AI loop. Employees solve their own problems without them.

"People are developing their own content, their own training, their own performance support. L&D isn't even involved."

Brian Hackett

Why it matters: If L&D doesn't reinvent itself, it becomes irrelevant. The old model won't survive. Not in a world of autonomous agents and dynamic work.

What to do: Rebuild learning strategy from the ground up. Align it directly with your AI strategy. Align it with the tasks your people actually do. Not just the roles they hold.

4. Change management is a crutch. The real issue is bad data.

The problem: Organizations blame failure on "change management." The real issue is the quality and structure of their data.

"We kept saying we needed more change management. But the truth is, it was a data problem. We were trying to match people to work using language that didn't even make sense to the business."

Siobhan Savage

If I automate chaos, I just scale the chaos.

Why it matters: You can't redesign work if you don't understand the work. And you can't understand the work if your data is stuck in outdated job architectures and disconnected systems.

What to do: Build or adopt Work Context. A common language of tasks, processes, and outcomes. It's the only way to align AI, workforce strategy, and business.

5. The new superpower is continuous redesign

The problem: Traditional redesign models don't work in an AI-powered world. There is no "end state." Just constant evolution.

"The future role is about being a continuous reengineer. Not a one-time leader. Someone who iterates relentlessly."

Brian Hackett

Why it matters: AI adoption is fast, messy, and ongoing. If workforce leaders want to stay relevant, they must shift from project thinking to product thinking. Constantly iterating on how work gets done.

AI capability is compounding. Work visibility is not.

What to do: Rethink how you think. Start with Day Zero thinking. If you rebuilt your organization from scratch today with AI, what would it look like?

60 leaders are shaping what's next

The Work Design Collaborative is more than a think tank. It's where CHROs, CLOs, and redesign leads roll up their sleeves. They define the future of work together.

"This isn't theory. It's 60 leaders sharing exactly how they're rebuilding their organizations for the AI era. Playbooks, pilot strategies, real outcomes." Siobhan Savage

Quarterly in-person summits. Ongoing peer collaboration. Strategic frameworks that actually get used.

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