Dune Analytics Lays Off 25% of Staff in AI-Focused Restructuring

2 hour ago 2 sources neutral

Key takeaways:

  • Strategic layoffs amid AI pivot signal efficiency gains, potentially boosting crypto data sector profitability.
  • Institutional on-chain data demand accelerates, favoring tokens like GRT for their critical indexing roles.
  • Leaner crypto data firms may weather market cycles better, offering defensive investment opportunities.

Dune Analytics has laid off approximately 25% of its workforce, with co-founder and CEO Fredrik Haga confirming the cuts as part of a strategic restructuring. The company, a leading blockchain data platform, is shifting its focus toward artificial intelligence tools and institutional demand for on-chain data. Haga announced the move on X, describing those let go as "exceptional people" and noting the company remains well-capitalised after a $69.4 million Series B round led by Coatue in 2022.

According to Tracxn data from March 2026, Dune had 143 employees, suggesting around 35 staff members were affected. The restructuring is not driven by financial distress but by a realignment to serve core data products used by thousands of crypto industry customers. Dune's new AI tool, Dune MCP, allows teams and agents to build dashboards and workflows without requiring knowledge of SQL or data infrastructure, highlighting the company's bet on autonomous analytics.

Haga pointed to the increasing embrace of crypto by institutions as currencies, stocks, and bonds move onchain, stating Dune is investing heavily in its data layer for that market. The layoffs mirror a broader industry trend in early 2026, with companies like Gemini, Messari, Blockworks, and DL News also citing AI integration as a reason for reducing headcount or pivoting away from news operations.

Dune Analytics provides queryable on-chain data from networks such as Ethereum, Bitcoin, Solana, and BNB Chain, and recently integrated Stellar for cross-chain payment analytics. Despite the cuts, Haga emphasised the company is doubling down on its institutional data layer and AI-driven product suite to remain competitive against rivals like The Graph, Glassnode, and Nansen.

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