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Tag: Analytics and data science

  • AI Is Making Verification the Bottleneck for Companies

    AI Is Making Verification the Bottleneck for Companies

    Harvard Business Review Logo

    Bernhard Lang/Getty Images

    Hierarchy does more than route information; it also verifies: deciding what information means, what deserves the firm’s attention, which outputs can be trusted, and which are worth

    Somewhere in your company today, an expert rejected a perfectly plausible answer. A controller caught a revenue figure that counted deferred bookings. A security engineer blocked a release that passed every test but would have handed an AI agent write access to the production database. That override, escalation, or reversal is the most valuable data your firm produces. If you record enough of those moments and use them, alongside everything else your firm knows and measures, to train an AI model that learns from each correction, you could, in theory, eliminate the need for managers to route information and coordinate action. In doing so, execution gets turbocharged by automation. You might even be able to eliminate hierarchy altogether.

  • Is Your AI Training the Competition?

    Is Your AI Training the Competition?

    September 8, 2026

    Tim Robberts/Getty Images

    Summary.   

    “AI Sherlocking” poses a severe strategic risk where AI platforms absorb a company’s hard-won problem-solving logic rather than just its raw

    For years, corporate lawyers have obsessed over one question when it comes to AI: Is our data going into someone else’s training set? Most companies feel they’ve solved that. They’ve signed contracts saying the AI provider can’t train on the prompts their employees type in.

  • What Happens When AI Starts Doing Business with AI?

    What Happens When AI Starts Doing Business with AI?

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    Pardina Studio x Katya D/Stocksy

    As AI agents increasingly interact with one another on commercial platforms, firms need new rules governing what those agents can see, decide, and do. In a controlled AI-to-AI simulation covering

    In late 2025, Perplexity’s Comet browser began logging into shoppers’ Amazon accounts and buying on their behalf. Amazon treated it as an intruder. It blocked the agent and when Perplexity slipped past the block within a day, Amazon took the dispute to federal court. WeChat drew the line differently. After shutting out ByteDance’s Doubao assistant, which used system-level access to navigate WeChat without permission, Tencent later opened what it describes as an agent-to-agent channel to selected assistants from Huawei, Xiaomi, and others to send messages and place calls. Under this arrangement, an external agent translates a user’s request into a structured instruction and passes it through a Tencent-controlled interface to WeChat, which executes the action inside its own environment. Tencent controls which agents can connect, which functions they can invoke, and what data and execution remain inside WeChat. In other words, one platform shut the door to AI agents outright; the other unlocked it on its own terms.