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BlogCharles2014-10-11T14:23:15+00:00
  • Local LLM resiliance
    AI Governance

    Your AI strategy isn’t as resilient as you think: the case for local LLMs

    The cost reckoning arrived before anyone said "ban." Token prices dropped 98% since GPT-4, yet the average enterprise AI budget has tripled. Uber burned through its entire [...]

  • Future of work

    What AI can’t automate: tacit knowledge and the curious professional

    The conversation about AI and early-career work tends to go one direction: what's being lost. The entry-level tasks that used to build expertise are getting automated away. [...]

  • AI Deployment Ethics
    AI Governance, AI Strategy, Future of work

    Do no harm: The AI deployment principle nobody’s applying

    Most conversations about AI deployment focus on capability: what can the model do, how fast can it work, how much can it automate. The harder question, the [...]

  • Tokenmaxxing
    Knowledge Management

    Everyone Measured Tokens. Nobody Measured Value.

    In May 2026, Amazon built a leaderboard. The goal was to track how many AI tokens its developers consumed, a proxy, leadership decided, for how actively the [...]

  • Knowledge Management Advisory
    AI Strategy, Knowledge Management

    What is knowledge management? A guide for the AI era

    Your team just deployed an AI assistant. Two weeks in, it's confidently giving customers wrong answers, not because the AI is broken, but because no one taught [...]

  • ai governance models
    AI Governance

    You can’t govern what you can’t see

    Every conversation about AI governance eventually arrives at the same uncomfortable truth: the people building these systems don't fully understand them either. That's not a criticism. It's [...]

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