
Despite years of development and billions in investment, AI agents remain a niche technology used by only about 10 million weekly users for OpenAI's offerings—a fraction of the billion-user base for chatbots.
The disconnect, according to The Browser Company's CEO Josh Miller, is that Silicon Valley is marketing "AI agents" as a technology rather than solving concrete problems people actually want solved.
His point resonates across the industry: agents may be powerful, but no one has yet built a consumer product around them that feels essential or intuitive.
What happened
Josh Miller, CEO of The Browser Company, posted on X this week that almost nobody outside the tech industry is actually using AI agents, despite the industry's confidence they represent the future. OpenAI's Codex and ChatGPT Work agents have about 10 million weekly users combined—vastly smaller than ChatGPT and Gemini, which each have around a billion monthly active users on average.
Why it matters
Tech companies have invested billions in training AI models capable of far more than simple chatbot tasks, and agents are meant to unlock that value. But without consumer adoption, those investments remain underutilized. Miller argues the real problem is that the industry is selling "AI agents" as a category rather than solving specific user problems—people don't want an agent, they want a product that makes them productive or calm.
What to watch
Miller points to his own example: The Browser Company's most popular feature is a personalized morning briefing in its AI-powered browser, Dia, which technically runs on an AI agent—but users don't know or care about that technical detail. The lesson suggests successful AI products will hide the agent machinery entirely and lead with human outcomes instead.
Josh Miller, CEO of The Browser Company, triggered a wave of recognition this week when he posted on X that "nobody is really using AI Agents" outside the tech community, despite the industry's conviction that agents will "totally transform how we work and live our lives." His candid observation—that "the general public dgaf" (doesn't give a fuck)—resonated widely among Silicon Valley insiders who have been perplexed by the public's indifference to their latest obsession. Miller told an interviewer that he fired off the post while half asleep on a family trip to Europe but stands by the argument. The core frustration is that, after years of development and billions in investment, agents remain marginal.
The numbers back up his claim starkly. OpenAI disclosed that its Codex and ChatGPT Work agents collectively have about 10 million weekly users. People close to Anthropic report that its Claude Code and Cowork agents are seeing similar levels of adoption. By contrast, ChatGPT and Gemini each average around a billion monthly active users. Agents, in other words, represent a rounding error—a tiny fraction of the user base for traditional chatbots. This is a problem for the AI labs because most consumers are still using generative AI for simple tasks like looking up information and chatting, while Silicon Valley has trained models capable of far more. Agents were supposed to unlock that capability and justify the investment, but adoption has flatlined.
Miller's deeper argument is not simply that agents have failed to catch on—it's that the industry has misunderstood what it is selling. "No one wants AI agents, because AI agents aren't a thing," he says. "It is an invented frame made up by our industry to collectively refer to something." The problem is framing: the tech industry is marketing a technology category rather than a solution to a real human problem. He argues the path forward is to build products that solve concrete needs—making someone calm, focused, and productive—without even naming the agent machinery inside.
He offers a concrete example from his own work. The Browser Company's most popular feature is a personalized morning briefing in its AI-powered browser, Dia. When users open their laptop, they see a homepage with a greeting, a daily to-do list populated automatically from their calendar and email, and random tidbits designed to spark joy—such as a piece of art. Technically, Miller says, this feature was only made possible by an AI agent. But the user does not need to know that, and arguably should not. The product succeeds because it solves a specific problem (starting the day organized and inspired), not because it advertises itself as cutting-edge agent technology. Miller's career lends weight to his argument: his browser Arc developed a cult following and was acquired by Atlassian for $610 million; his earlier startup Branch was bought by Facebook; and he served as the White House's first director of product under President Obama. His point—that successful AI products will embed agents invisibly rather than brand them explicitly—offers a possible road map for an industry facing an adoption crisis.
The gap between hype and reality in AI agents reflects a broader pattern in tech: a powerful underlying technology does not automatically translate into mass adoption. Silicon Valley has celebrated agents as the logical next step after large language models, and companies like OpenAI, Anthropic, and The Browser Company have poured resources into building and deploying them. Yet adoption has stalled at what amounts to a rounding error compared to chatbots. The article suggests this is not a failure of the technology itself but a failure of the business model—the industry has been selling a technology category rather than a solution to a felt problem.
Josh Miller's intervention carries weight partly because of his track record: Arc, his web browser, developed a cult following and sold to Atlassian for $610 million; his earlier company Branch was bought by Facebook; and he served as the White House's first director of product under President Obama. His claim that agents need to disappear into the product experience—that users should never see or name the agent machinery—suggests a path forward. If agents are truly powerful, they should enable better products, not become products in themselves. The Browser Company's morning briefing example illustrates this: the feature solves a concrete human need (starting the day organized and inspired) and happens to use agent technology as its scaffolding.
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