Crypto Users Embrace AI for Portfolio Management According to Survey Results

A CoinGecko survey shows 87% of crypto users are open to AI managing parts of their portfolios. Half are okay with AI handling 50% or less, while 36% trust AI with the majority. Opinions are mixed on AI vs human trading capabilities, with 37.5% sceptical of AI’s reliability in managing wallets. There’s optimism for AI in crypto by 2025, though challenges remain.

A recent CoinGecko survey reveals that a significant majority of crypto users are open to utilising artificial intelligence (AI) for managing their investment portfolios. Among the 2,632 participants surveyed, 87% expressed a willingness to allow AI agents to manage at least 10% of their crypto holdings. CoinGecko’s report from April 23 indicates that about half are comfortable with AI managing half of their portfolio or less, reflecting a curiosity about AI despite existing concerns regarding its safety and security.

Furthermore, 36% of participants indicated a readiness to let AI manage the majority of their assets, while approximately 14.5% were willing to entrust their entire portfolio to AI. This implies that 1 in 7 respondents either fully trust AI agents or perceive the potential benefits as outweighing inherent risks.

On the aspect of trading effectiveness, opinions among respondents were divided. Approximately half believed AI agents could outperform human traders in crypto markets, while the other half maintained that AI has yet to demonstrate a substantial edge over humans. Around 13% of survey participants conveyed their discomfort in allowing any portion of their portfolios to be managed by AI, believing they could manage their investments more effectively.

Trust in AI agents concerning crypto wallet access also varied significantly. According to the survey, 37.5% of respondents do not trust AI agents with their crypto wallets, while 34.5% felt that they can be trusted, and 27.9% remained neutral on the issue. This indicates a clear divergence in opinions regarding the reliability of AI in handling sensitive financial assets.

Looking ahead, there is anticipation for the convergence of AI and blockchain technology, possibly redefining the crypto landscape by 2025. Industry leaders foresee AI agents playing pivotal roles in web3 applications, token launches, and autonomous interactions. Despite optimism, challenges such as technical difficulties, regulatory considerations, and centralisation may hinder this evolution.