Overview

Digital platforms like LinkedIn, Spotify, and banks have long held informational asymmetry over users - they collect your data but only show you filtered views that serve their business interests. The power dynamic has fundamentally shifted because you can now export your data and use AI to ask your own questions, breaking free from the platform’s predetermined interface limitations.

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Key Takeaways

  • Export your data and ask AI your own questions rather than accepting the filtered views platforms provide - this breaks the informational asymmetry that has defined our relationship with technology
  • Platforms optimize their interfaces for their metrics (engagement, conversions, time on site), not for showing you the insights that would actually serve your interests - the most useful questions often have no button
  • LinkedIn knows your complete network graph, message history, and career trajectories of connections, but instead of revealing your warmest paths to companies or relationship decay patterns, they show you a feed designed to keep you scrolling
  • The combination of legally-mandated data exports and AI systems capable of natural language queries means you can now spin up complex analyses of your own data without relying on platform interpretations
  • This principle applies beyond job searching - every platform relationship you have follows this same pattern of holding your data while showing you only what serves their business model

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