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The AI summer

ChatGPT's dirty secret: hundreds of millions tried it. Almost none came back.

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Exploring the next frontier of AI research.AI illustration by KeyNews
The KeyNews take

Why it matters

Despite AI hype, most users and enterprises haven't moved beyond pilots. The real challenge isn't technology—it's finding sustainable product-market fit in a space that looks like magic but isn't.

The key facts

4 to know
  1. Hundreds of millions of ChatGPT users, but low repeat usage

  2. Most enterprises still in pilot phase, not deployment

  3. LLMs may be solving the wrong problem or solving it in ways that don't stick

  4. Product-market fit remains the bottleneck, not capability

Go to the source

Benedict Evansben-evans.com

Publisher excerpt: Hundreds of millions of people have tried ChatGPT, but most of them haven’t been back. Every big company has done a pilot, but far fewer are in deployment. Some of this is just a matter of time. But LLMs might also be a trap: they look like products and they look magic, but they aren’t. Maybe we…
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The wider picture

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Why process excellence will become the competitive advantage in the AI economy

As AI models become commoditized, enterprise differentiation will shift from technology access to operational maturity — the clarity, governance, and end-to-end process design that allow agents to execute autonomously at scale. This is a strategic reframing for enterprises: AI success is now a process and governance problem, not primarily a model problem.

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Wikipedians Believed AI Would Come and Go. They Were Wrong

As AI systems increasingly use search aggregation and direct answers over source links, Wikipedia's role as a foundational knowledge layer for both humans and machines faces structural erosion—a shift that affects how enterprises think about data grounding, source attribution, and the long-term viability of community-maintained knowledge bases in an agentic AI era.

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