Forty cents of every venture capital dollar invested in crypto companies in 2025 went to firms building products that combine artificial intelligence and crypto, more than double the 18 cents a year earlier.
“AI is increasingly entering crypto not as a parallel narrative, but as part of crypto’s own product and infrastructure stack,” Binance Research said, citing data from Silicon Valley Bank, noting that this shows “how quickly AI is becoming embedded in crypto roadmaps.”
That pressure is visible in crypto’s shift from AI “co-pilots” to “agents.” Co-pilots help users analyze information, while agents can monitor conditions and take actions. In trading environments where timing affects results, reducing the gap between insight and execution can change behavior.
The trend is part of a broader increase in AI spending. Crunchbase data shows that AI companies raised about $242 billion in the first quarter of 2026, or about 80% of global venture funding. Gartner estimates that total AI spending will reach $2.52 trillion this year.
Crypto is leading the AI push
However, this trend is not surprising.
As capital is concentrated in one area, it often drags adjacent sectors with it, forcing companies to adapt their strategies and shorten product cycles, Binance Research wrote.
While almost all sectors are trying to incorporate AI into their business models, the report says crypto platforms have moved faster than traditional finance in implementing such systems. This is due to the support of always-on markets in the digital asset sector and programmable infrastructure, whereas TradFi faces market time constraints and intermediate systems that agents must pass through.
For example, the research noted that on Binance’s AI Pro beta, nearly half of the activity on a recent day, 45.7%, was triggered by the system rather than the users.
These interactions came from scheduled tasks and monitoring systems, pointing to growing use of AI tools that run in the background without prompting.
The adoption of AI solutions is uneven across the 17 exchanges and brokers Binance Research surveyed. Risk management, market signals and fraud detection are standard, while user-facing tools such as copy trading, chatbots and portfolio advisors are only present in 47% to 71% of them.
Several major platforms have shipped agent products this year, moving AI closer to monitoring and execution within sets of guardrails. It compresses the value chain between identifying an opportunity and acting on it, Binance Research added.
That means the competitive landscape will shift from who integrates AI capabilities to who owns the users’ decision loops, the report noted.
