According to CoinGecko, 44% of surveyed individuals hold a bullish stance on AI-related cryptocurrency prices.
As AI and crypto use cases develop further, their adoption continues to expand, according to a CoinGecko research analyst.
Nearly half of crypto experts expressed confidence in AI token price increases in a recent survey, suggesting potential growth for the $23.6 billion industry.
CoinGecko surveyed 2,632 participants between February and March and found that 25% felt strongly optimistic, while 19.3% felt mildly positive about crypto AI tokens in 2025.
About 29% of participants did not express a strong opinion on the issue, whereas a combined 26.3% felt either somewhat or entirely bearish.
Survey responses regarding crypto AI products matched the overall findings, as CoinGecko’s Yuqian Lim highlighted that “use cases combining crypto with AI have improved and are seeing more widespread adoption.”
“This perhaps shows that crypto participants are not differentiating between crypto AI’s investing or trading potential and the technology itself,” said Lim.
“Such market sentiments might in turn reflect expectations that now is the time for crypto AI to move beyond the conceptual stage and mature as a sector.”
AI-driven cryptocurrencies, led by Near Protocol, Internet Computer, and Bittensor, currently hold a market capitalization of approximately $23.6 billion, according to CoinGecko’s data.
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In addition to leading AI coins, a separate category of AI agent tokens—including Artificial Super Intelligence, Virtuals Protocol (VIRTUAL), and ai16z (AI16z)—commands a $4.5 billion market capitalization.
CoinGecko divided the 2,632 survey participants, who took part between February 20 and March 10, into groups of long-term investors and short-term traders.
CoinGecko’s survey asked participants to define their stance on crypto AI adoption—whether they saw themselves as early adopters, late adopters, or laggards.
Survey results revealed that “innovators,” the earliest crypto AI adopters, held a stronger bearish stance than some later adopters, while “laggards” remained the most negative, as predicted.
