Cryptocurrency and AI in 2025

AI use is still on the rise. In fact, we argue that its use has become exponential in the last few months as many companies have begun to train AI models to do specific tasks. Other than in the creative industry, we find that AI can be useful in helping offload repeated and meaningless tasks from employee workloads.

But how is AI being used in the cryptocurrency industry in this coming year? The answer may just surprise you—so keep reading.

AI in Crypto Trading

AI has made the biggest leap in terms of cryptocurrency trading. While there were always options to have a trade execute at a set price, with AI, you can now see predicted price points,  market trends, and set even more elaborate scheduled trades.

There are only a few cryptocurrency trading platforms offering these options, and while we think they may be useful for those working as crypto day traders, we urge others to use caution. Although these models are taught to learn with every trade, remember that this is the testing period for this technology right now. While it might seem easy to set up the AI trader and go about your day, you might come back to an empty account.

For this reason, we recommend keeping your AI trading separate at first. Give the AI a small balance to work with and see what it can do before giving it control over a large portion of your portfolio.

AI in KYC Checks

Another area where AI has been instrumental is in KYC checks for various platforms. While we aren’t exactly comfortable with this because of the way some platforms store your data, in the right environment, this is definitely a huge step forward.

Gone are the days when you need to wait almost a week to have your identity verified—because with AI, it is often instantaneous. Just be cautious about agreeing to AI identity verification until you know how the website you are using farms and stores your data after the verification is complete.

AI in Blockchain Consensus Mechanisms

Currently, almost all blockchains run on a consensus mechanism where nodes pass or fail a transaction based on a variety of factors. This pass/fail or consensus mechanism is usually based on black or white principles, meaning if anything falls slightly into the range of gray, the transaction will fail.

AI could transform blockchains, by creating learning models which can help nodes validate transactions in the field of gray. This would allow for the expansion of blockchains and the growth of the decentralized internet—as AI offers far more options than the current consensus mechanisms.

While this is a possibility, it is important to note that this is something which is still in development. But, with the right research and learning, AI could be instrumental in content verification, bot elimination, and fast transaction processing without a centralized authority.

AI in Crypto Security

Each and every year there are hundreds of cryptocurrency platforms launched—and not all of them are gems. Running a blockchain isn’t nearly as simple as just setting up a platform and issuing an ICO, rather, it includes several complex processes and a robust security system to ensure the platform can’t be hacked…or worse.

A simple Google search can reveal the hundreds of blockchains that have been hacked or suffered a fatal security flaw over the years, and we believe that AI could help prevent these events from happening in the future. AI can be trained to recognize suspicious activity faster than most simple algorithms and used to shut down malicious actors before they set the ball of their nefarious plans in motion.

Of course, AI in security isn’t just something you can turn on and call it a day, but many cybersecurity companies are moving into the cryptocurrency space, offering solutions that can be tailored to a specific platform. Out of all the items on this list, we think AI in blockchain security is perhaps our favorite.

AI in Data Exchange/Data Mining

Data exchange, much like consensus mechanisms, is currently siloed—meaning companies have access that they only provide to each other for a fee, and individuals rarely have control of their own data.

AI could help transform this, by allowing more peer-to-peer exchanges of data through a tokenization of machine learning. This means individuals could cover the cost of data mining on an individual level and employ the data as they see fit.

If you’re reading this and panicking, you aren’t alone. While peer-to-peer data exchange could give the power back to the people, it also sounds scary that some unknown individual might have access to your data. The reality is, you are already giving all your data to large companies like Google and Meta, and using AI on a peer-to-peer level would only serve to even out the playing field.

Look at it this way: just as Bitcoin is a digital version of money that takes power away from governments who already have it thanks to fiat currency, AI would allow you to have some control over how mined data is used because companies are already mining and using this data.

Of course, this is scary to think about, especially for those who actually value privacy, but it is something that could prove to be beneficial to the average individual if employed correctly.

This loops us back around to AI in security, as it would be impossible to tokenize data without a blockchain with proper security features. In fact, we don’t think that any item on this list can truly function on its own—rather, AI needs to be used in a variety of technological cases in order for it to bring value to society.

As we said in the beginning, AI does have something to offer society—but this does NOT include replacing creatives. While we hope that companies will test and train AI for these aforementioned beneficial purposes, we also know this is unlikely to be the case. We can dream, though!

Want to learn more about AI in crypto? Check out our list of the top 10 AI crypto tokens.