Dune Analytics has laid off 25% of its staff, with CEO Fredrik Haga citing AI tools as the primary driver.
Summary
- Haga announced the restructuring on X, saying the company is sharpening focus on core data products used by thousands of crypto industry customers.
- Dune MCP, the firm’s new AI tool, lets teams build dashboards and workflows without knowledge of SQL or data infrastructure.
- Dune last raised capital in a $69.4 million Series B led by Coatue in 2022 and described itself as well-capitalised following the cuts.
Haga posted on X Thursday morning that the company had let go of 25% of its team, calling those affected “exceptional people” he would personally recommend. Tracxn data put Dune’s headcount at 143 as of March 2026, suggesting roughly 35 staff members were let go. The firm did not disclose the exact number.
“We’re restructuring Dune to sharpen our focus around the core data products thousands of customers across the crypto industry rely on,” Haga said. “With Dune MCP, teams and agents can now build dashboards and workflows without needing to know anything about SQL nor data infrastructure.”
He added that institutions are increasingly embracing crypto as currencies, stocks, and bonds move onchain, and said Dune is investing heavily in its data layer to serve that market.
AI and layoffs reshaping the crypto data sector
The restructuring is part of a broader pattern across the crypto industry in early 2026, where companies from Gemini to Messari have cited AI integration as a primary reason for reducing headcount.
Blockworks and DL News both shut down their entire newsrooms this year to focus on data products, narrowing the landscape of crypto-native analytics further.
Dune Analytics is a blockchain data platform that lets analysts query and visualise onchain data from Ethereum, Bitcoin, Solana, BNB Chain, and more than a dozen other networks.
The platform recently integrated Stellar to provide cross-chain payment analytics. Despite the layoffs, Haga said Dune remains well-capitalised and is focusing investment on the institutional data layer and its AI-driven product suite.
