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AI and the Slow Death of Organizational Memory

  • Writer: Andrew Tahvildary
    Andrew Tahvildary
  • Sep 4
  • 3 min read

As AI workflows scale, the context behind our choices is vanishing and taking judgment with it.


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During a recent assessment, a growth-stage company couldn’t explain why they’d shelved a core feature just a few quarters earlier.


The decision-makers were gone. The rationale was lost. The system had moved on, but the lesson hadn’t stuck.


A few days later, I was mentoring a founder-CTO who was stepping back from their role. Their engineering team was spinning. Slower output, internal tension, no clear sense of what was working.


When I asked what had changed, there wasn’t much of an answer. No reflection, no postmortems, no preserved insight. The team had been operating on instinct. And now that instinct had gone quiet.


Then, one of our Techquity partners recently asked what sounded like a simple question:


“What kinds of strategic technical and product work do we lead with and where do we draw the line?”


It wasn’t provocative. It was quiet and thoughtful.


The kind of question that surfaces when someone’s genuinely trying to orient themselves.


But, we’d answered it before.


A few years back, I’d written some internal drafts—nothing flashy, just a clear articulation of how we define our edge: the kinds of work where we create leverage, and the areas we deliberately leave to others. The thinking still held up. But no one in the room remembered it existed.


And that’s what stuck with me.


Not that we didn’t have the answer. But that we’d already forgotten we’d found it.

We were just like those companies I had been consulting with days beforehand. Different companies. Different moments. Same pattern:


We’re moving faster, but we’re remembering less.


A Memory of a Memory


In an era where AI is woven into nearly every part of how we work, the erosion of memory isn’t something you notice right away.


It doesn’t show up as a missed deadline or a broken system. It just accumulates. Quietly.


Until a team starts to spin in circles. Or a poor decision gets made after what should have been a lesson learned.


We used to treat organizational memory as a soft concept. Something that lived in long-tenured employees, or was buried in a drive, or was passed along informally. Not ideal, but at least it existed.


Now we risk losing even that.


Our workflows are optimized for speed. AI writes the doc, summarizes the meeting, and ships the plan. But it rarely preserves the story. The tradeoffs. The moments of uncertainty and course correction.


AI won’t capture the tense silence on the Zoom call before the CEO made the final call. Or the hallway conversation where the real breakthrough happened. It preserves the artifact, but not the context. The decision, but not the conviction.


Without that context, strategy starts to lose its thread. Teams forget what made them effective or why they took the actions they took. Decisions start to feel disconnected, because they are.


This may take the shape of a new hire unknowingly reviving a failed initiative—scheduling the kickoff, creating the deck, and even announcing it in Slack before someone older on the team quietly flags, “Didn’t we try this two years ago?

And suddenly, the energy in the room shifts from momentum to déjà vu.


But these aren’t execution problems; they’re memory problems.


The Solution Is Wisdom


And no, the answer isn’t more documentation.


The solution is continuity. It is building systems that retain judgment, not just output. It is keeping track of the “why”, not just the “what.”


It is workflows that make it easy to remember the right things.


The solution is designing systems for organizational wisdom.


Organizational memory and organizational wisdom are what allow you to move faster without spinning out. It’s how you avoid solving the same problem twice. It’s how strategy compounds.


The teams that learn how to remember well will outperform those that are stuck forgetting in circles. AI can help us act, but memory is what helps us act wisely.


So, without looking at the call transcripts or querying your GPT, what’s one lesson your team can’t afford to forget?

 
 
 

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