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## Dune's 25% cut: a product reset, not just a cost reset

On May 15, [Decrypt](https://decrypt.co/367949/dune-analytics-slashes-25-of-workforce-in-ai-institutional-pivot) reported that Dune Analytics cut 25% of its workforce as CEO and co-founder Fredrik Haga said the company was narrowing its focus around core data products, AI, and institutions coming onchain. The headline looks like a standard layoff story. The better read is that Dune is changing its product thesis: less generic coverage, more workflow leverage.
The detail that matters is the timing. Haga said Dune had already run 300 interviews in March for engineering and data roles, and that AI fluency was a non-negotiable bar. That tells us the workforce cut was not a sudden panic move. The company had already been sorting for a different operating model: smaller teams, higher output, and a tighter product surface.
> "We're restructuring Dune to sharpen our focus around the core data products thousands of customers across the crypto industry rely on."
Fredrik Haga, CEO and co-founder of Dune
## The March hiring push: why the layoff reads differently
A 25% cut is large, but it becomes more legible once you compare it with the hiring filter Dune was using only two months earlier. A company that interviews 300 candidates and makes AI fluency a floor is not simply trimming a cost base. It is redrawing the boundary of who fits the business.

That matters for a data company. Dune's old value proposition was built around trust: analysts could inspect onchain data, query it, and argue over it. The new pitch, through Dune MCP, is more about reducing the technical barrier so users can build dashboards without SQL or data infrastructure. That is a real commercial advantage, but it changes the trust model. The easier it is to generate a dashboard, the more important reproducibility becomes.
## Dune is part of a wider efficiency reset in crypto
Dune is not acting in isolation. Coinbase cut 14% of staff last week, saying it was moving toward an AI-first operating model. Gemini cut 25% earlier this year, and the Algorand Foundation cut 25% as well. Those numbers are not identical stories, but they point to the same pattern: crypto companies are trying to hold output steady, or raise it, with fewer people.
The useful interpretation is not that AI replaced jobs. It is that crypto firms are trying to compress the distance between idea, code, and distribution. AI helps with the middle layer. It can reduce repetitive work, accelerate research, and let a smaller team ship more. But that only works if the product still earns trust from a demanding user base.

## Dune MCP: the real test is trust, not just reach
Dune MCP is the most important clue in the story because it shows where management thinks growth will come from. If a customer can build a dashboard without knowing SQL, Dune can sell to a broader audience and maybe move deeper into enterprise workflows. That is the upside.
The risk is just as clear. A platform that grows by simplifying too aggressively can start to blur the very transparency that made it useful. Analysts, funds, and crypto-native teams usually want to see how a metric was built, not just the final chart. So the question is not whether AI can help Dune scale. The question is whether Dune can make the product simpler without making the data feel less auditable.
What to watch next is not the layoff itself. It is whether Dune can show three things after the cut: steadier institutional demand, more repeat use of MCP workflows, and a product experience that keeps power users while it reaches beyond them. If those do not arrive, the pivot will look like a headcount reset. If they do, the cut will read more like a deliberate move up the value chain.
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Author: [Alex Chen](https://x.com/AlexC0in) | Alex has followed blockchain technology since 2021, focusing on DeFi and on-chain data analysis
Source: [decrypt.co](https://decrypt.co/367949/dune-analytics-slashes-25-of-workforce-in-ai-institutional-pivot)








