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A Financial Times writer explores using AI to store company know-how and culture, and warns that turning memory into a database could flatten what matters.
In short: Some business leaders want to use AI to store a company’s institutional memory, but a Financial Times column warns that this could make that memory less useful.
A Financial Times opinion column describes a growing idea in business: use AI to capture “institutional memory”, meaning the know-how and stories that live in people’s heads. Think of it as trying to turn a company’s unwritten rules and hard-earned lessons into a searchable library (like a very organized filing cabinet).
The writer, Leo Lewis, says this idea is being discussed alongside more automation, including robots in factories. At a trade show in Japan, a venture capital investor told him that AI could become a “guardian” of company memory, especially as older founders retire and fewer people are available to take over. The column notes that Japan faces a sharp version of this problem, with many small and medium-sized companies lacking a successor.
Supporters argue that AI could preserve everything from technical expertise to small details, like why a team avoids calling a client on certain days. In theory, a single AI assistant could hold years of context and make it easy for new employees to find answers quickly.
The column’s warning is that memory is not just a database. People retell stories, disagree, forget, and revise, and those “flaws” can be part of how a company learns and adapts. If AI turns messy history into one neat version, it could flatten a company’s culture and make “we’ve always done it this way” sound like a rule instead of a habit.
Source: Financial Times