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The world is confronted with a new technological breed, where AI development grows into a national priority. The recent launch There is high proof of the Stargate project in the US.
Although Trump’s presidency is still at an early stage, we can already see the rise of a trend to tech-centricity, because it is planning to cast $ 500 billion in investments in AI infrastructure.
At the same time, this technological tree will reform another industry Crypto.
AI (artificial intelligence) has already been introduced in crypto in the form of AI agents, trade bots, automated risk analysis and more.
The question is not whether AI Crypto will change It even does it now.
The real question is Hat means this in the long term for crypto and blockchain?
Will the involvement of AI strengthen this space or the decentralized principles that the crypto community is dear?
Here is my opinion about this.
Ai and crypto today
As things are now, I would say that AI’s presence in Crypto is not far advanced It is still in the ‘children’s shoes’ phase, so to speak.
But this state of affairs will not last Progress is taking place at a rapid pace.
This industry goes beyond simple trade bots. Artificial intelligence is now used to stimulate strategies for making market and risk assessment.
We even see cases of decentralized venture financing powered by AI.
Projects such as Moby AI, Griffain AI and Heyanonai are becoming more productive Although these are only early iterations of AI-based financial intelligence in cryptigence, they already perform better than human traders in speed and efficiency.
While AI models continue to grow in complexity and get more autonomy, I believe that they will soon no longer follow market trends They will shape them.
What is the next step on the horizon
In the coming years it will redefine what it means to participate in Crypto, and AI will be central to this transformation, so that changes are brought into all sectors.
Autonomous AI trade agents already optimize market strategies with a level of speed and precision that far exceeds human capacities.
The more these bots go further, the greater the competitive advantage investors and traders will get to use them.
In the field of Defi-Compliance, AI-driven tools will become essential for maintaining security.
Fraud and illegal transactions are always a point of care, but AI-driven monitoring systems can analyze activities in blockchain networks and detect suspicious patterns in real time.
This allows them to mark potential risks before they escalate, making this space safer.
At the same time, AI-integrated Defi services will help streamline and borrow by removing human intermediaries.
AI models can be used to automatically match borrowers and lenders and dynamically adjust the interest rates as the market conditions change.
And all that can be done without the need for human participation.
I also see AI agents playing a prominent role in the board in the chains.
They can offer real-time market insights, manage portfolios and even contribute to DAO decision-making by enabling more data-driven governance choices.
In addition to financial applications, AI could also solve long-term blockchain inefficiencies.
For example, a major problem with POW networks (proof-of-work) is a lot of energy consumption.
AI can tackle this by analyzing and predicting the demand for network, dynamically adjusting energy consumption to reduce waste and optimize performance.
In addition, AI ‘Sharding’ can facilitate, where blockchain data is spread over several nodes, which makes parallel processing and faster transaction times possible.
This can help to actually scale blockchain networks, which is a crucial step if cryptocurrencies must see a wider acceptance.
Although AI is still just a support tool today, unable to make really effective decisions instead of people, it will not always be.
In my opinion, AI has every opportunity to evolve into a dominant force that will be active in Defi’s future.
Risks An AI undermines decentralization
Although AI promises a large revival of efficiency, it is not without risks. And one of the biggest threats I can now provide is AI-driven market manipulation.
Imagine a scenario in which AI-driven trading agencies check Defi, making it much more difficult for retail investors to compete.
This is already something we see in Tradfi (traditional finances), because high -frequency trade agencies use AI to use inefficiencies in the market.
The same could happen in Defi, resulting in a weapon race between AI bots, while human traders remain surpassed and are essentially left behind.
That said, Defi has a bit of an advantage in this respect. The high spreads and transaction costs act as a natural barrier against immediate AI domination.
Since Handelsbots have to deal with significant costs in Defi, it creates a situation of chicken and egg.
As long as the reimbursements and spreads remain high, AI-driven trade will not easily scale. And on the other hand, those costs remain high without a large trade volume.
This can in fact prevent AI-driven market manipulation, because everyone in Defi has to work on equal conditions.
There is also the issue of smart contracts generated by AI to consider. AI can write full contracts, but what happens if those contracts contain hidden vulnerabilities?
Hackers can exploit code generated by AI, using opponents to bypass security audits.
A single compromised AI-generated contract can mean millions of dollars in losses in crypto-assets.
This is a threat that Defi developers have to take very seriously You should definitely not be confident to write the code for you.
The future of AI and Crypto
The AI race is not just a competition to dominance between nations The real battle is between open source and closed-source AI.
The introduction of Deepseek R1 has already become the basis for a major shift in this respect.
It broke traditional assumptions about AI development, which showed that budgets of billion dollars from BigTech companies are not always necessary to find groundbreaking innovation.
AI development is no longer centralized and I think open-source models can properly match the values of Crypto, in contrast to a more centralized approach.
The idea that AI will take over the crypto sector is no longer a matter of debate. The only question now is how quickly it will happen.
Arthur Azizov is the CEO of B2BINPAYAn all-in-one crypto ecosystem for companies. He is an experienced leader and innovator with more than 15 years of expertise in Fintech, global finances and cryptocurrency. His in -depth understanding of financial markets and digital assets has played an important role in shaping B2binPay in an extensive solution for crypto payments, digital asset management and B2B transactions.
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Credit : dailyhodl.com
