Selon Coingecko, 44% des personnes interrogées ont une position haussière sur les prix des crypto-monnaies liées à l'IA.

As AI and crypto use cases develop further, their adoption continues to expand, according to a CoinGecko research analyst.

The price of cryptocurrency is famously volatile, but a new survey from CoinGecko suggests that at least some experts are bullish on the chances of AI-related crypto tokens increasing in value.

Of 2,632 individuals surveyed by the cryptocurrency research company between February 20 and March 10, 25% expressed strong optimism in the price of AI tokens in 2025, while 19.3% felt mildly positive. A further 29% of participants did not express a strong opinion on the issue, whereas a combined 26.3% felt either somewhat or entirely bearish.

The survey responses regarding crypto AI products matched the overall findings, as CoinGecko’s research analyst 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.”

CoinGecko’s analysis focused on a category of cryptocurrency projects that integrate artificial intelligence technology in their development or operations. Examples of such projects include Near Protocol, Internet Computer, and Bittensor. Together, these projects amounted to a combined market capitalization of $23.6 billion at the time of the survey.

In addition to leading AI coins, a separate category of AI agent tokens—including Artificial Super Intelligence, Virtuals Protocol (VIRTUAL), and ai16z (AI16z)—commanded a $4.5 billion market capitalization.

CoinGecko divided the 2,632 survey participants into groups of long-term investors and short-term traders. The company also sorted participants into the types of technological adopters, a concept derived from the 1962 sociological study "Innovators, Early Majority, and Laggards."

CoinGecko’s survey asked participants to define their stance on crypto AI adoption—whether they saw themselves as early adopters, later adopters, or laggards. The company explained that "innovators," the earliest crypto AI adopters, were expected to hold a stronger bearish stance than some later adopters, while "laggards" remained the most negative, as predicted.

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