Messari is reshaping its business under new leadership, pairing a workforce reduction with a sharper push into artificial intelligence. The crypto data and research firm, now led by Eric Turner, cut about 15% of its staff in January 2025 as it reorganized around what Turner described as its core product lines. At the same time, Messari has expanded AI-focused tools and infrastructure, signaling that automation and AI-assisted research are becoming central to its next phase of growth.
Leadership change puts strategy in focus
Messari’s leadership transition followed the departure of founder Ryan Selkis in 2024, after which Eric Turner, previously the company’s chief revenue officer, took over as interim chief executive. Messari’s official leadership page lists Turner as Interim CEO and Chief Revenue Officer, and notes his prior experience at S&P Global, Fidelity Investments, and Prudential. That background matters because it places Messari’s current strategy closer to institutional-grade data, research, and product monetization than to the founder-led, personality-driven model that defined much of its earlier public image.
The staffing cuts became public in January 2025, when Turner confirmed to The Block that Messari had laid off roughly 15% of employees. He said the company had made organizational changes to optimize the business and accelerate growth across its core product lines. ForkLog separately reported the same percentage and described the move as part of a restructuring aimed at sharpening focus.
For a company operating in crypto intelligence, the timing is notable. The sector has been moving from broad expansion to tighter execution, especially among firms selling data, analytics, and research to professional users. In that environment, leadership changes often become a catalyst for product consolidation, cost discipline, and a search for new revenue streams. Messari appears to be following that pattern.
Messari’s new CEO is doubling down on AI as firm cuts staff
The clearest sign of the new direction is Messari’s AI product buildout. The company’s documentation describes an “AI Toolkit API” and “Copilot” chat-completion endpoints designed to generate crypto insights using Messari’s knowledge graph and specialized tools. Messari says these endpoints support OpenAI-compatible responses, proprietary formats, and Vercel-compatible streaming, making them easier for developers and enterprise users to integrate into existing workflows.
Messari also markets “Messari Copilot” as an AI assistant that uses the firm’s research, data, and analytics to deliver crypto insights. Its documentation says the product is built for fast document retrieval and timely answers across areas including market data, news, fundraising, and research. In practical terms, that means Messari is not treating AI as a side feature. It is embedding AI into the way users search, query, and consume its proprietary information.
That strategy aligns with a broader shift in financial information services. Data firms increasingly compete not only on the quality of their datasets, but also on how quickly users can turn raw information into decisions. AI interfaces can reduce the friction between a database and an analyst, portfolio manager, or developer. For Messari, the bet appears to be that AI can make its existing data assets more valuable while also opening new enterprise and API revenue opportunities. This is an inference based on Messari’s product releases and documentation, rather than a direct company statement.
Why the staff cuts matter
The reduction of about 15% of staff is significant because it suggests Messari is trying to become leaner while investing in higher-priority areas. Turner’s public explanation centered on optimizing the business and accelerating growth in core products. That language is consistent with a company moving resources away from nonessential functions and toward areas with clearer commercial potential.
There are at least three likely implications for stakeholders:
- Employees: Fewer roles usually mean heavier concentration on priority teams and products.
- Customers: Users may see faster rollout of AI-enabled tools, but potentially less emphasis on lower-demand offerings.
- Investors and partners: A leaner operating model can improve efficiency if product adoption keeps pace.
The move also reflects a wider pattern in crypto and technology. Axios reported earlier industry cutbacks at blockchain data firm Nansen, and noted that crypto companies had been slimming down after expanding aggressively during the prior market cycle. Messari had already been part of that broader trend. In that sense, the latest restructuring is not an isolated event, but part of a longer recalibration across crypto infrastructure and intelligence businesses.
AI becomes a product, not just an internal tool
One of the most important aspects of Messari’s strategy is that AI appears to serve both internal and external purposes. Externally, the company is offering AI-powered interfaces through Copilot and its toolkit APIs. Internally, AI can also streamline research workflows, summarization, classification, and information retrieval, especially in a sector flooded with token launches, governance proposals, funding announcements, and protocol updates. Messari has not publicly detailed the full extent of its internal AI deployment in the sources reviewed, but its product architecture strongly suggests AI is central to how the company intends to scale output. This is an inference based on the company’s published AI documentation.
The company’s April 9, 2025 product update is especially revealing. Messari announced new Copilot chat completion endpoints and explicitly recommended its OpenAI-compatible endpoint for broader compatibility and flexibility. That kind of positioning shows Messari is trying to meet developers where they already work, rather than forcing them into a closed ecosystem.
According to Messari’s own documentation, the AI Toolkit is built around the company’s knowledge graph and specialized tools. That is a notable distinction in a crowded AI market. Many AI products rely on general-purpose models layered over public web data. Messari is instead emphasizing structured, domain-specific crypto intelligence, which could be more useful for professional users who need targeted answers rather than generic summaries.
Industry significance and competing views
Messari’s new CEO is doubling down on AI as firm cuts staff at a moment when many information businesses are asking the same question: can AI improve margins and user experience at the same time? Supporters of this approach argue that AI can make specialized research more scalable, reduce repetitive work, and create better self-service products for customers. Critics, however, warn that staff reductions tied to AI strategies can weaken editorial quality, reduce institutional knowledge, and put too much trust in automated systems. Those competing views are widely reflected across the technology sector, though the specific balance at Messari will depend on execution.
For crypto markets, the stakes are higher because information quality is uneven and often moves prices quickly. A firm like Messari sells trust as much as data. If AI helps users navigate complex markets faster without sacrificing accuracy, the strategy could strengthen its position. If automation erodes quality or transparency, the opposite could happen. That is why the company’s emphasis on knowledge-graph-backed tools and citations is important. Messari’s AI Copilot example documentation specifically references inline citations, suggesting the company recognizes that verifiability remains a core requirement for professional research products.
What comes next for Messari
The next phase for Messari will likely be judged on product adoption, not just cost cuts. The company already has AI-related documentation, developer tooling, and user-facing Copilot features in market. The open question is whether those tools can translate into stronger subscription retention, enterprise adoption, and API usage. That commercial outcome is not yet publicly established in the sources reviewed.
Still, the direction is clear. Messari under Eric Turner is narrowing its focus, reducing headcount, and investing more heavily in AI-enabled products. In a crypto intelligence market where speed, usability, and trust increasingly define competitive advantage, that may prove to be a rational strategy. It is also a high-stakes one. A leaner company can move faster, but it has less room for error.
Conclusion
Messari’s New CEO Doubles Down on AI Amid Staff Cuts captures a broader shift underway in crypto data and research. Since taking over, Eric Turner has overseen a restructuring that reduced staff by about 15% while pushing the company deeper into AI-powered products such as Copilot and the AI Toolkit API. The strategy suggests Messari wants to become a more efficient, product-led intelligence platform built around searchable, machine-assisted crypto research. Whether that bet pays off will depend on execution, customer uptake, and the company’s ability to preserve trust while automating more of the research experience.
Frequently Asked Questions
Who is Messari’s new CEO?
Eric Turner is listed by Messari as Interim CEO and Chief Revenue Officer.
How many staff did Messari cut?
Messari cut roughly 15% of its staff in January 2025, according to reporting confirmed by Turner.
What AI products is Messari building?
Messari offers AI-focused products including Copilot and the AI Toolkit API, which use the company’s knowledge graph to generate crypto insights.
Why is Messari focusing on AI now?
Based on its product releases and documentation, Messari appears to be using AI to make its data and research more accessible, faster to query, and easier to integrate into customer workflows. This is an inference from the company’s published materials.
Did Messari launch OpenAI-compatible tools?
Yes. Messari’s AI Toolkit documentation says it offers an OpenAI-compatible chat completion endpoint.
What is the main risk in this strategy?
The main risk is execution: Messari must show that AI can improve efficiency and user experience without weakening research quality or trust. That assessment is an analytical conclusion based on the company’s business model and product direction.
