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BlogCharles2014-10-11T14:23:15+00:00
  • Lexora Labs AI Moat
    AI Governance, AI Strategy

    Is the AI model becoming a commodity?

    The model stopped being the differentiator, but what replaces it is less stable than most of the current commentary suggests. Frontier capability is replicable within months, not [...]

  • AI models human labor
    Future of work

    What AI absorbs, what’s left for you

    In early July, Commonwealth Bank of Australia and IBM both walked back AI-driven cuts they'd made earlier this year. CBA called its call-center reductions an "error." IBM, [...]

  • Overcoming AI adoption gap
    AI Strategy, Future of work

    Buying your way past the AI trust problem

    On July 2, Microsoft announced it was spending $2.5 billion to embed roughly 6,000 engineers, industry specialists, and technical consultants directly inside client companies. The unit is [...]

  • 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 [...]

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