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Charles

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  • AI Governance, AI Strategy

    The hidden cost of verifying AI outputs

    AI is supposed to save time. The part we rarely measure is how much of that time gets spent making sure the answer deserves to be trusted. [...]

  • AI regulations
    AI Governance

    Can an industry write safety standards for behavior it cannot predict?

    In July 2026, an autonomous AI agent breached Hugging Face's production infrastructure, and the company could not determine which model was driving it. Nine days after OpenAI [...]

  • AI performance measurement
    AI Strategy, Future of work

    Why can’t your AI pilot see the value your people are finding?

    Fifty-six percent of CEOs report neither higher revenues nor lower costs from AI over the past year. In the same period, Gallup found that among employees applying [...]

  • 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 [...]

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