Dune lays off 25% of staff to focus on data and AI
Dune laid off 25% of its workforce as it restructures to prioritize core data products and AI, CEO Fredrik Haga posted on X.
Dune, a crypto data company, cut 25% of its staff as part of a restructuring to concentrate on core data products and artificial intelligence, Fredrik Haga posted on X on Thursday. He did not give a precise headcount; the company’s LinkedIn lists roughly 150 employees.
On X, Haga wrote, “We’re restructuring Dune to sharpen our focus around the core data products thousands of customers across the crypto industry rely on.” He added, “That unfortunately means we’ve let 25% of the team go this week.”
Haga wrote that the company remains “well capitalized” and described Dune as “all-in” on AI. He pointed to growing institutional demand for crypto data as a factor in the decision.
He highlighted Dune’s Model Context Protocol, or MCP, which allows AI systems to interact with the platform. According to Haga, MCP lets “teams and agents build dashboards and workflows without needing to know anything” about data infrastructure or SQL.
The company plans to increase investment in its core data products and services for institutional customers. Haga noted a wider set of assets, including currencies, stocks, bonds and commodities, are moving onchain and creating demand for analytics and tooling.
The layoffs come amid wider reductions across the crypto sector this year. More than 5,000 jobs have been cut at major crypto companies in 2026, with one firm reducing about 4,000 positions in February and another cutting roughly 700 roles in early May. Several exchanges and other crypto firms have also reported cuts in the low hundreds. Data compiled for the year shows 137 U.S. companies have announced nearly 109,000 job cuts across the tech sector.
Dune provides tools and dashboards that let customers query and visualize blockchain data. The company said the reorganization will concentrate resources on the products most used by its customers and adapt the platform to support AI-driven workflows and institutional needs.
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