The Rise of AI in VC Funding: How Crypto Firms Are Evolving

In 2025, a significant 40% of venture capital invested in crypto companies went towards firms that integrated artificial intelligence and crypto, marking a substantial increase from the previous year's 18%. Binance Research noted, citing Silicon Valley Bank data, that "AI is becoming an integral part of crypto's product and infrastructure stack, rather than a parallel narrative." This integration is evident in the shift from AI "co-pilots" to "agents" in crypto. Unlike co-pilots, which assist users in analyzing information, agents can monitor conditions and execute actions autonomously. In time-sensitive trading environments, reducing the gap between insight and execution can significantly impact behavior. The surge in AI adoption is part of a broader trend. According to Crunchbase, AI companies raised approximately $242 billion in the first quarter of 2026, accounting for roughly 80% of global venture funding. Gartner estimates that total AI spending will reach $2.52 trillion by the end of the year. Crypto is at the forefront of this AI push, a trend that is not entirely unexpected. As capital concentrates in a particular area, it often pulls adjacent sectors along, prompting firms to adapt their strategies and accelerate product development, as noted by Binance Research. While many sectors are incorporating AI into their business models, crypto platforms have been faster to deploy such systems compared to traditional finance. This can be attributed to the support from always-on markets in the digital assets sector and programmable infrastructure, whereas traditional finance is constrained by market hours and intermediary systems. For instance, on Binance's AI Pro beta, nearly half of the activity on a recent day (45.7%) was triggered by the system itself, rather than users. These interactions stemmed from scheduled tasks and monitoring systems, indicating a growing reliance on AI tools that operate in the background without user prompts. The adoption of AI solutions varies across the 17 exchanges and brokers surveyed by Binance Research. While risk management, market signals, and fraud detection are standard, user-facing tools such as copy trading, chatbots, and portfolio advisors are present in only 47% to 71% of them. Several major platforms have introduced agentic products this year, bringing AI closer to monitoring and execution within established guardrails. This development compresses the value chain between identifying an opportunity and acting on it, according to Binance Research. As a result, the competitive landscape is expected to shift from who's integrating AI features to who's owning users' decision-making loops, as noted in the report.