Forty cents of every dollar of venture capital invested in crypto companies in 2025 went to companies building products that combine artificial intelligence and cryptocurrencies, more than double the 18 cents a year earlier.
Citing data from Silicon Valley Bank, Binance Research said that “AI is increasingly entering cryptocurrencies, not as a parallel story, but as part of the crypto product or infrastructure stack itself,” which shows “how quickly AI is being incorporated into crypto roadmaps.”
That pressure is evident in the shift of cryptocurrencies from AI “co-pilots” to “agents.” The co-pilot helps the user analyze information, and the agent can monitor the situation and take action. In a trading environment where timing influences results, reducing the gap between insight and execution can change behavior.
This trend is part of a broader surge in AI spending. AI companies raised about $242 billion in the first quarter of 2026, representing about 80% of global venture funding, according to data from Crunchbase. Gartner predicts that total AI spending will reach $2.52 trillion this year.
Cryptocurrency leading AI promotion
However, this trend is not surprising.
When capital is concentrated in one area, adjacent sectors are often pulled along with them, forcing companies to adapt their strategies and shorten product cycles, Binance Research writes.
While nearly every sector is looking to incorporate AI into their business models, the report states that crypto platforms are moving faster than traditional finance in implementing such systems. This is due to the support provided by the digital asset sector’s always-on market and programmable infrastructure, whereas TradFi faces market time constraints and intermediary systems that agents have to go through.
For example, the study notes that in Binance’s AI Pro beta, nearly half (45.7%) of recent activity was driven by the system rather than users.
These interactions come from scheduled tasks and monitoring systems, demonstrating the increasing use of AI tools that run in the background without prompting.
The adoption of AI solutions is uneven among the 17 exchanges and brokers surveyed by Binance Research. Risk management, market signals, and fraud detection are standard, but user tools such as copy trading, chatbots, and portfolio advisors are only present in 47-71%.
Several major platforms shipped agent products this year, bringing AI closer to monitoring and execution within set guardrails. This compresses the value chain between identifying opportunities and acting on them, Binance Research added.
This means the competitive landscape will shift from a question of who integrates AI capabilities to a question of who owns the user decision-making loop, the report notes.
