Martin Fowler voices unease over LLM behavior despite productivity gains
In a September 2026 post, software commentator Martin Fowler describes conflicting feelings about AI, saying that while large language models can boost productivity, he personally dislikes interacting with them. He cites their unnatural conversational tone and their tendency to confidently state false information as if it were fact, only offering token acknowledgment when corrected.
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Fowler's remarks echo a broader tension in tech circles: surveys show many people find AI tools useful yet worry about their societal impact. His warning that LLMs reflect the biases of the Silicon Valley culture that built them raises questions about how these systems' design choices shape trust and reliability in professional software use.
- Fowler admits mixed feelings about AI, from optimism about productivity to fear of misuse.
- He criticizes LLMs for confidently fabricating answers and only offering superficial apologies.
- He warns against anthropomorphizing AI, noting these systems inherit the worldview of their Silicon Valley creators.
Source: martinfowler.com — Martin Fowler, 2026-09-17
Published there as: “I Don't Like LLMs”
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