Boards of large public companies are changing CEOs at the fastest pace in more than a decade, often promoting first-time leaders and insiders who must quickly prove they can adapt their organizations to an AI-centric future. AI adoption is accelerating across all business functions. And companies are quietly, almost invisibly, losing the only thing that allows them to navigate both of these forces: organizational memory.
It is estimated that the cost of “corporate amnesia,” or ineffective knowledge sharing, can exceed tens of millions of dollars annually. But almost no one in the boardroom is talking about it.
AI has the potential to change the way organizations operate, but without a record of how decisions are made, crises avoided, and trust earned over time, even the most sophisticated systems risk becoming disconnected from the experiences that make intelligence meaningful.
When CEOs leave, lessons remain
Leadership turnover is a natural part of organizational life. Boards often seek new leadership in response to market changes or shifts in strategy, but today’s environment defined by technological disruption, geopolitical instability, and rapidly evolving consumer expectations only accelerates that cycle. Consider the examples of Boeing, Nike, and Stellantis. Each company had survived a recent CEO change, but at the same time was managing a severe operational or reputational crisis that required deep knowledge of how the organization had previously failed and recovered.
When CEOs retire, they rarely leave alone. Senior teams move on, long-time executives retire, and the organizational knowledge of leaders quietly disappears.
A company’s most valuable knowledge is often embedded in years or decades of decisions, pivots, failures, and breakthroughs. It lives in boardroom discussions, cultural tipping points, product launches, regulatory battles, and moments when under pressure leaders have had to choose between competing priorities. Without a deliberate effort to capture and preserve that experience, succession planning is just a leadership handoff, not an organizational knowledge transfer.
AI is as smart as history
In the age of AI, this becomes even more important. As companies deploy generative AI and agent systems, many assume that access to powerful models will provide an advantage. In fact, the opposite may be true. As all companies have access to similar AI systems, competitive differentiation may increasingly depend on the quality of the context those systems derive.
That context emerges from experience, which over time becomes an organizational memory, an accumulated record of how an organization navigates complexity, balances risks and opportunities, responds to crises, and builds relationships with stakeholders. Without it, whether it is human or artificial intelligence, it becomes generic.
While large-scale language models can produce highly fluent answers, their output often feels shallow and disconnected from reality when not grounded in a company’s specific history, decisions, and operational standards. They can generate information. They cannot generate insight.
Just as the digital age required investments in data infrastructure, the age of AI will require infrastructure that preserves and revitalizes organizational memory, including historical records, internal documents, oral history, and digital knowledge systems that allow organizations to learn from their experiences. These systems will also increasingly inform the AI tools themselves, grounding machine-generated insights in a company’s actual history rather than generic training data.
How Booz Allen turned 110 years into a strategic advantage
When Booz Allen turned 110, CEO Horacio Rozanski didn’t just commission a retrospective. Through executive interviews, storytelling efforts, and a digital archive platform, the company has captured pivotal moments in its history, including advising the U.S. Navy before World War II and supporting NASA during the space race, and connected those stories to its current identity as a technology and analytics leader. The effort was not nostalgic. It was working.
The archives aren’t missing, they’re just scattered
An even more serious problem is the inability to preserve the memories of departing executives. It is to preserve the accumulated experience of the institution itself. It is to preserve the accumulated experience of the institution itself. That experience is often built over decades and lives on in strategy documents, research reports, correspondence, internal publications, photographs, and other records that explain how the organization became what it is today.
In many companies, this material is scattered across fragmented digital systems or buried in disorganized analog archives. In the age of AI, this presents a strategic vulnerability. AI learns from data. When the knowledge that defines an organization’s experience is inaccessible or completely lost, those systems produce incomplete general intelligence. The question for leaders is no longer simply whether to deploy AI, but whether to implement it in a way that reflects the organization’s hard-won experience.
Targets indicate what is at stake. The company is facing a leadership change amid declining sales, brand confusion and increased political pressure. Analysts say the company has moved away from the distinct identity that once distinguished it: design-driven merchandising, a curated product mix, and a cultural positioning that led shoppers to pronounce the brand’s name tongue-in-cheek like a French boutique. What is less discussed is whether the accumulated brand intelligence – the decisions, trade-offs and creative instincts that built ‘Tar-zhay’ – was formally captured. Or whether it simply walked out the door with the leaders who built it.
The challenge for the next CEO is not only an operational challenge but also an interpretive challenge. What aspects of the organization’s identity should be preserved? Which strategies have worked historically? Which lessons from past crises are still relevant?
Before your company deploys its next AI system, ask yourself the following questions: What does that system actually know about how your organization makes decisions? If the answer is “not a lot,” then you’re not building an intelligent company. You have built a very fast amnesia ability.
The opinions expressed in Fortune.com commentary articles are solely those of the author and do not necessarily reflect the author’s opinions or beliefs. luck.
