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    AI Agent Confusion Starts With the Word Itself

    There’s this sense that if you call it an agent, you can price it like labor.

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    AI Agent Confusion Starts With the Word Itself

    In Silicon Valley, no label has caught on faster or become more nebulous than “AI agent.” The term is now affixed to products ranging from LLM chat interfaces to autonomous workflow systems, and its ambiguity is quickly becoming part of its appeal. Yet behind the marketing sheen, some of the industry's leading voices are starting to ask a harder question: what are we really talking about?

    “If you look closely, most of what’s being branded as agents today is pretty thin,” said Guido Appenzeller, a general partner at Andreessen Horowitz. “It might just be a clever prompt stacked on top of a knowledge base.” In other words: what passes for an “agent” in 2025 might, in a different year, just be called software.

    Appenzeller’s take is blunt, but not isolated. On a recent episode of the firm’s podcast, his colleagues Matt Bornstein and Yoko Li joined him in unpacking the growing disconnect between the term’s use and its substance. From vague product demos to inflated pricing models, their conclusion was clear: most agents aren’t actually agentic.

    The Elastic Definition Problem

    A recurring theme in the discussion was the lack of definitional rigor. “I don’t think anything we have are actually agents,” said Bornstein, who pointed to the overuse of the term across sales decks and investor updates. “It’s a word that means too many things to too many people.”

    by AIM Media HouseFree · No paywall

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    About the author

    Anshika Mathews

    Anshika is the Global Media Lead for AIM Media House. She holds a keen interest in technology and related policy-making and its impact on society.

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