Catalytic Change: The New Theory Reshaping Organizational Change Management

One AI rollout in a single department rarely stays contained there. It reshapes how an adjacent team handles escalations, which changes what finance reports on churn, which shifts how leadership sets next quarter’s targets, all before any change plan accounts for the chain reaction.

Gartner’s December 2025 survey of 110 CHROs found 78% agreeing that workflows and roles need fundamental redesign to capture real value from AI investment, a number that points toward exactly this kind of unplanned spread. Organizational change management built for linear rollouts, one project, one timeline, one owner, struggles against a shift that moves sideways across departments instead of forward through a schedule. Managers end up as the earliest signal of where that spread is heading, long before a steering committee meets to discuss it.

Also read: Organizational Change Management Meets Its Hardest Test: Layoffs and Reskilling at Once

One AI Rollout Can Trigger Change No One Planned For

Traditional change management assumes a project has edges. Someone scopes a rollout, defines who it touches, and builds a communication plan around that scope.

AI adoption breaks that assumption early. One team automating customer support tickets with an AI agent ends up reshaping how the sales team handles escalations, which changes what finance reports on churn, which shifts how leadership sets quarterly targets. Nobody scoped that chain reaction into the original project plan, yet it happened anyway.

Organizational Change Management Assumed Change Moves in Straight Lines

Organizational change management, as a discipline, grew up around initiatives with a defined start, middle, and end. ADKAR, Kotter’s eight steps, and similar frameworks assume a project has boundaries a team can plan around.

Catalytic change ignores those boundaries by design. It can be described as a change that starts in one function and cascades into others without waiting for a formal handoff between initiatives. Organizational change management practitioners trained on sequential rollouts now track effects that move sideways across departments faster than any steering committee can meet.

How Does Catalytic Change Spread Through an Organization?

The spread tends to follow a predictable shape, even when the specific trigger varies:

• One team automates a single, contained task first
• Adjacent teams adjust their workflows without a formal request
• Leadership metrics shift before anyone updates the plan

Each stage happens quickly. Change management teams built around quarterly planning cycles often find out about stage two from a Slack thread rather than a status report.

Catalytic Change Turns Managers Into the Real Change Infrastructure

Gartner’s 2026 guidance for CHROs puts unusual weight on manager readiness, and catalytic change explains why. Executives set AI strategy, but managers sit at exactly the point where a ripple from one team becomes a policy question for another.

One manager who notices the support team’s new AI workflow changing escalation patterns becomes the earliest signal any organization gets that change has spread past its original boundary. Treating managers as reporting layers instead of sensing layers means that signal usually arrives late.

Is This a New Framework, or Change Management Catching Up to Reality?

Catalytic change names something that happened to plenty of organizations before anyone gave it a label. Organizational change management built around triggers and cascades, rather than single projects with clean edges, looks far more realistic for what AI adoption is already doing inside most enterprises this year.

Frequently Asked Questions

What Is Catalytic Change in Organizational Change Management?

Catalytic change describes a shift that starts inside one team’s AI adoption and spreads into other departments without a formal handoff between projects. Gartner introduced the term to describe why AI-driven shifts move faster and wider than typical planned change.

How Is Organizational Change Management Different Now Compared to Before AI?

Traditional organizational change management assumed a project with a defined start and end. Catalytic change removes those edges, so practitioners now track ripple effects across teams instead of managing one contained rollout at a time.

Author - Jijo George

Jijo is an enthusiastic fresh voice in the blogging world, passionate about exploring and sharing insights on a variety of topics ranging from business to tech. He brings a unique perspective that blends academic knowledge with a curious and open-minded approach to life.