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Internal knowledge bases hold a company’s IP, tribal knowledge, and operating DNA. Most of them still fail.
The core problems are simple and persistent. There is usually no real ownership, so information decays. Knowledge is scattered, outdated, or conflicting. Agents receive poor context. People keep asking teammates the same questions.
The dominant narrative says AI will cause mass unemployment. Three years of real data say otherwise.
Over 90% of U.S. firms that adopted AI reported zero change in headcount. Multiple surveys from the Atlanta Fed, Census Bureau, and other sources show the same pattern: almost no net job loss. What is happening instead is task reallocation inside existing roles. Recruiters do less screening and more judgment work. Lawyers review AI output rather than draft from scratch. Finance teams interpret rather than assemble data.
We’ve become information junkies.
The internet gave us too much. Social media 10X’d it. AI slop has now 100X’d it. Most people are drowning — endlessly consuming books, threads, newsletters, and AI-generated content while making almost no progress on what actually matters.
Kaguura Gichuru
Most believe effort equals outcome.
Pair programming has 40+ years of research proving it works — 40% faster tasks, 1,000x fewer defects — yet almost no one does it because it doubles headcount.
AI changes the equation.
