Google Solved Retrieval. It Didn’t Solve Understanding.
Google’s achievement is extraordinary. It built systems that can crawl, index and rank an almost absurd volume of information, then return useful results in fractions of a second. Google itself describes Search as a collection of automated ranking systems using many signals to surface what it thinks is most relevant and useful. That solved one of the biggest information problems of the internet age: where is the thing I am looking for?
The problem is that retrieval quietly became confused with understanding. Search can find the deck where a decision was recorded, the email where someone objected, the report where the numbers changed and the presentation where the final recommendation appeared. What it does not naturally preserve is the relationship between those things: what happened first, why the decision changed, which evidence mattered, what was later disproved, and what the organisation eventually learned. Search gives you documents. Understanding depends on context.
Finding the evidence is not the same as knowing what happened.
This matters because organisations increasingly behave as if anything searchable is therefore remembered. It is not. A thousand perfectly indexed files can still leave a team unable to answer a basic question: why did we do this? Google solved retrieval astonishingly well. The harder problem is what comes after retrieval: preserving the connections between evidence, events, decisions and outcomes so the information still means something when the people who understood it have gone.