2025 Crypto AI Adoption Survey

Intermediate4/15/2025, 3:40:18 AM
Compared to the bell curve distribution that technology adoption usually follows, there is a disproportionately high percentage share of those pioneering crypto AI adoption. This can be attributed to self-selection bias from participants already interested in crypto AI, but may also indicate that crypto AI adoption is still dominated by tech enthusiasts and has yet to gain mainstream traction, even within the crypto industry.

Forward the Original Title ‘Survey Finds Crypto AI Adoption Still in Early Stages’

How Widespread Is Crypto AI Adoption in 2025?

In a survey conducted this year, 59.3% or nearly 3 in 5 crypto participants considered themselves to be among the first to adopt crypto AI. Another 34.7% considered themselves to be part of the mainstream when it came to crypto AI adoption, while the remaining 6.1% represented skeptics who were the least willing to adopt crypto AI.

Compared to the bell curve distribution that technology adoption usually follows, there is a disproportionately high percentage share of those pioneering crypto AI adoption. This can be attributed to self-selection bias from participants already interested in crypto AI, but may also indicate that crypto AI adoption is still dominated by tech enthusiasts and has yet to gain mainstream traction, even within the crypto industry.

The crypto AI adoption pioneers were made up of a 26.6% share of participants who identified as ‘Innovators’ or tech enthusiasts keen to jump on any new narratives, and 32.7% who identified as trend-sensitive ‘Early adopters’. The larger share of ‘Early adopters’ might reflect the latest shift in perceptions, with the crypto industry increasingly considering crypto AI to be a promising key sector, rather than just hype.

Meanwhile, 22.8% of crypto participants identified as the ‘Early majority’ in crypto AI adoption, which is almost double the 11.9% share who consider themselves the ‘Late majority’. This suggests that crypto AI’s current challenge is driving adoption among the practical-minded and more risk-averse mainstream crowd. In order for crypto AI projects to be adopted by the ‘Early majority’ for starters, they will likely need to show clearly how they can solve a real problem or add value to users.

Finally, a minority of 6.1% identified themselves as skeptical and change-resistant ‘Laggards’, which is in line with the tail end of the typical bell curve distribution. These ‘Laggards’ are likely a combination of realists who are only interested in engaging with crypto AI for monetary gains, AI critics and cautious users waiting for more mature technology.

More Crypto Newcomers Polarized Over Crypto AI Adoption

Notably, 31.5% of participants in their 1st market cycle identified as ‘Innovators’ in crypto AI adoption and 7.4% identified as ‘Laggards’, both of which were higher compared to 2nd cycle participants (19.9% ‘Innovators’ and 4.3% ‘Laggards’) and veterans in their 3rd cycle or above (24.4% ‘Innovators’ and 5.3% ‘Laggards’). This suggests that crypto newcomers might have stronger, more divisive views on the crypto AI narrative, especially since part of the demographic may have onboarded onto crypto from the latest crypto AI hype.

On the other hand, participants experiencing their 2nd crypto cycle and veterans had a similar distribution of crypto AI adoption attitudes. The only difference was that 2nd cycle participants had a slightly larger ‘Early majority’ share, while veterans had more in the ‘Innovator’ group.

Crypto AI Adoption Curve 2025

The crypto market’s interest in or attitude towards adopting crypto AI is distributed as follows:

Methodology

The study examined 2,632 crypto participants’ responses in the anonymous CoinGecko Crypto x AI Survey, which ran from February 20 to March 10, 2025. Survey results should be taken as indicative only.

Among the survey participants, 51% considered themselves as crypto investors with mainly long-term holdings, 26% identified as traders with mainly shorter-term holdings, 10% as builders and 13% as sidelined spectators. In terms of how long participants had been in crypto, 53% were in their first cycle (0 to 3 years in crypto), 34% in their second cycle (4 to 7 years) and the remaining participants were veterans with 8 or more years of experience. Geographically, 93% of participants stated that they were based in Europe, Asia, North America and Africa, while the rest were in Oceania or South America.

This study is for illustrative and informational purposes only, and is not financial advice. Always do your own research and be careful when putting your money into any crypto or financial asset.

Disclaimer:

  1. This article is reprinted from [Coingecko]. Forward the Original Title ‘Survey Finds Crypto AI Adoption Still in Early Stages’. All copyrights belong to the original author [Yuqian Lim]. If there are objections to this reprint, please contact the Gate Learn team, and they will handle it promptly.
  2. Liability Disclaimer: The views and opinions expressed in this article are solely those of the author and do not constitute any investment advice.
  3. The Gate Learn team does translations of the article into other languages. Copying, distributing, or plagiarizing the translated articles is prohibited unless mentioned.

2025 Crypto AI Adoption Survey

Intermediate4/15/2025, 3:40:18 AM
Compared to the bell curve distribution that technology adoption usually follows, there is a disproportionately high percentage share of those pioneering crypto AI adoption. This can be attributed to self-selection bias from participants already interested in crypto AI, but may also indicate that crypto AI adoption is still dominated by tech enthusiasts and has yet to gain mainstream traction, even within the crypto industry.

Forward the Original Title ‘Survey Finds Crypto AI Adoption Still in Early Stages’

How Widespread Is Crypto AI Adoption in 2025?

In a survey conducted this year, 59.3% or nearly 3 in 5 crypto participants considered themselves to be among the first to adopt crypto AI. Another 34.7% considered themselves to be part of the mainstream when it came to crypto AI adoption, while the remaining 6.1% represented skeptics who were the least willing to adopt crypto AI.

Compared to the bell curve distribution that technology adoption usually follows, there is a disproportionately high percentage share of those pioneering crypto AI adoption. This can be attributed to self-selection bias from participants already interested in crypto AI, but may also indicate that crypto AI adoption is still dominated by tech enthusiasts and has yet to gain mainstream traction, even within the crypto industry.

The crypto AI adoption pioneers were made up of a 26.6% share of participants who identified as ‘Innovators’ or tech enthusiasts keen to jump on any new narratives, and 32.7% who identified as trend-sensitive ‘Early adopters’. The larger share of ‘Early adopters’ might reflect the latest shift in perceptions, with the crypto industry increasingly considering crypto AI to be a promising key sector, rather than just hype.

Meanwhile, 22.8% of crypto participants identified as the ‘Early majority’ in crypto AI adoption, which is almost double the 11.9% share who consider themselves the ‘Late majority’. This suggests that crypto AI’s current challenge is driving adoption among the practical-minded and more risk-averse mainstream crowd. In order for crypto AI projects to be adopted by the ‘Early majority’ for starters, they will likely need to show clearly how they can solve a real problem or add value to users.

Finally, a minority of 6.1% identified themselves as skeptical and change-resistant ‘Laggards’, which is in line with the tail end of the typical bell curve distribution. These ‘Laggards’ are likely a combination of realists who are only interested in engaging with crypto AI for monetary gains, AI critics and cautious users waiting for more mature technology.

More Crypto Newcomers Polarized Over Crypto AI Adoption

Notably, 31.5% of participants in their 1st market cycle identified as ‘Innovators’ in crypto AI adoption and 7.4% identified as ‘Laggards’, both of which were higher compared to 2nd cycle participants (19.9% ‘Innovators’ and 4.3% ‘Laggards’) and veterans in their 3rd cycle or above (24.4% ‘Innovators’ and 5.3% ‘Laggards’). This suggests that crypto newcomers might have stronger, more divisive views on the crypto AI narrative, especially since part of the demographic may have onboarded onto crypto from the latest crypto AI hype.

On the other hand, participants experiencing their 2nd crypto cycle and veterans had a similar distribution of crypto AI adoption attitudes. The only difference was that 2nd cycle participants had a slightly larger ‘Early majority’ share, while veterans had more in the ‘Innovator’ group.

Crypto AI Adoption Curve 2025

The crypto market’s interest in or attitude towards adopting crypto AI is distributed as follows:

Methodology

The study examined 2,632 crypto participants’ responses in the anonymous CoinGecko Crypto x AI Survey, which ran from February 20 to March 10, 2025. Survey results should be taken as indicative only.

Among the survey participants, 51% considered themselves as crypto investors with mainly long-term holdings, 26% identified as traders with mainly shorter-term holdings, 10% as builders and 13% as sidelined spectators. In terms of how long participants had been in crypto, 53% were in their first cycle (0 to 3 years in crypto), 34% in their second cycle (4 to 7 years) and the remaining participants were veterans with 8 or more years of experience. Geographically, 93% of participants stated that they were based in Europe, Asia, North America and Africa, while the rest were in Oceania or South America.

This study is for illustrative and informational purposes only, and is not financial advice. Always do your own research and be careful when putting your money into any crypto or financial asset.

Disclaimer:

  1. This article is reprinted from [Coingecko]. Forward the Original Title ‘Survey Finds Crypto AI Adoption Still in Early Stages’. All copyrights belong to the original author [Yuqian Lim]. If there are objections to this reprint, please contact the Gate Learn team, and they will handle it promptly.
  2. Liability Disclaimer: The views and opinions expressed in this article are solely those of the author and do not constitute any investment advice.
  3. The Gate Learn team does translations of the article into other languages. Copying, distributing, or plagiarizing the translated articles is prohibited unless mentioned.
Comece agora
Registe-se e ganhe um cupão de
100 USD
!