Reposted from here: https://www.linkedin.com/pulse/agentic-change-paradox-why-ai-cant-fix-system-designed-rifan-kurnia-8etmc/
By: Rifan Kurnia
March 12, 2026
When I ask people, "What is the primary responsibility of a leader?" the answers are predictable. Most suggest managing people, spearheading initiatives, or hitting quarterly targets. While these are certainly parts of the job, I believe they miss the core objective.
To me, the fundamental responsibility of leadership is to build and institutionalize a system.
True leadership isn't about being the hero of the day, it’s about being the architect of the environment. Specifically, it involves designing the change management processes that allow an organization to evolve. However, many organizations today are trapped in a cycle of failure because they misunderstand the relationship between individuals and the systems they occupy.
The Illusion of the Magic Hire
When an organization identifies a need for massive change, the most common reflex is to hire a
"saviour." They find one person, expect them to overhaul an entire department’s culture or process, and wait for the results.
When that person inevitably fails, the organization fires them, hires another, and expects a different result.
There is a hierarchy to this failure. If the "saviour" is at the very top, an executive with an authoritarian mandate, they might succeed through sheer force of will. But when an organization hires a middle manager or an individual contributor to "fix things," they are setting them up for a slow drowning. Without a fundamental change to the system itself, the new hire is quickly submerged by the weight of the legacy environment. The system doesn't change for the person; the person is eventually broken or assimilated by the system.
most of us are not that super
The 50/50 Rule of Systemic Change
When we talk about "systems," we often default to thinking about tools or platforms. We assume that if we buy the right software, the change is complete.
In my experience, tools and platforms are no more than 50% of the equation. They can certainly accelerate institutionalization, but the remaining 50%, the part that actually determines success—lies in the "soft" systems:
- The Communication System: How information flows (or gets trapped).
- The Collaboration System: How teams actually solve problems together.
- The Culture System: The unwritten rules of "how we do things here."
If the culture is allergic to transparency, even the best project management tool will become a graveyard of outdated tasks.
Breaking the Resistance: The Beckhard Equation
To understand why these "soft" systems are so hard to move, we can look at the Beckhard Change Equation. It states that for change to occur, the product of three factors must be greater than the resistance to change:
Beckhard Change Equation
- D (Dissatisfaction): Dissatisfaction with the status quo. If people are comfortable, they won't move.
- V (Vision): A clear, shared picture of what is possible.
- F (First Steps): Practical, concrete steps toward that vision.
- R (Resistance): The natural inertia of the legacy system.
The "Magic Hire" approach fails because the organization usually lacks 'V' and 'F'. They hire a person to be the vision and do the first steps in isolation. Because it is a multiplication equation, if any of these variables are zero, the total score is zero. You cannot overcome the massive Resistance 'R' of a legacy system if the leadership hasn't institutionalized the Dissatisfaction, Vision, and First Steps into the system itself.
The Agentic AI Paradox
We are now entering the era of Agentic AI. Organizations are rushing to adopt every autonomous agent available, expecting significant, immediate leaps in productivity. But they are running head-first into the same wall.
The paradox of "Agentic Change" is that for autonomous AI agents to work, the human system must be more structured and flexible than ever. Organizations ignore the legacy system because it is "too complicated" to fix. They view AI as the ultimate "magic hire"—a tireless worker that doesn't need a system.
In Beckhard’s terms, they are trying to use AI as a shortcut for (First Steps) while ignoring the systemic (Resistance).
An AI agent dropped into a broken, siloed, or politically charged legacy system will fail just as surely as a human middle manager. If the data is messy, the permissions are unclear, and the goals are contradictory, the AI will simply perform the wrong tasks faster.
From Single Fighters to System Architects
Change is a team sport, but more importantly, it is a structural design. We must stop looking for "single fighters" to win the war against legacy inertia.
If you want to adopt AI, don't just buy the license, but fix the data architecture and the decision-making flow. If you want to change the culture, don't just hire a "change/culture lead", it’s about redesigning your incentive structures.
Leadership is not about finding the right person to fight the system. It is about building a system where the right people (and the right AI) can finally succeed.
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