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Home » Machines vs markets: taking control of finance AI
AI in Finance

Machines vs markets: taking control of finance AI

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Disclosure: the views and opinions expressed here belong only to the author and do not represent the views and opinions of the editorial of Crypto.News.

Autonomous agents, fueled by artificial intelligence and managed on decentralized networks, will upset the financial market – developing the rules of the game, bringing more market transparency and increasing the usefulness of cryptography.

More than 75% of all trades on traditional markets are manufactured by algorithms, quantitative trading companies hosting for their ability to provide yields above the market. However, these ideas (and later) are always locked and are not also distributed to all investors. Autonomous agents rely on this technology and democratize it through the blockchain. Currently, these self-executing programs can already interact with blockchains, execute trades, manage portfolios and participate in decentralized funding protocols.

Autonomous agents explained

There are a lot of discussions on the market agents right now, but everything that is really called an autonomous agent is really one. A real autonomous agent can work independently using AI without human aid. For example, it is not very independent if an agent relies on a public API which could be closed or a credit card refused for payments. Companies like Microsoft already use real agents (non -autonomous) to improve their processes in areas such as sales, finances and operations. These agents take care of repetitive tasks, which allows companies of time and money.

Throughout the blockchain, autonomous agents can democratize access to financial tools and opportunities, which makes the ecosystem more inclusive. With their ability to process large amounts of data and act intelligently, these agents can stimulate innovation, improve capital efficiency and unlock new ways for participants to engage in markets. It’s like giving blockchain a brain – to make it go from a rigid system to something that can learn, adjust and make smart choices in real time.

Take finance

In traditional finance, data flows are partitioned and controlled by the main players. Access to this data requires money and earning faster access requires even more money. Even then, investors cannot be 100% sure that others have no preferential access. In Crypto, the data is more meritocratic accessible to everyone. People have the same tools to extract the data from a blockchain as the main actors like BlackRock or Citadel. And through autonomous agents, retail investors can intelligently and continuously manage tasks such as market surveillance, asset allocation and risk attenuation. In decentralized scholarships like Botega, investors have access to a system where autonomous agents can subscribe to liquidity pools and price sources. These subscriptions essentially inform agents of any change of volatility. Currently, agents on decentralized exchanges already make more than 70% of all transactions.

More access and faster information means greater gains. This will have a massive impact on retail investors, chain data suppliers and the usefulness of crypto. Apart from consumers, who will have access to market strategies previously out of reach, chain data providers that can provide confidence and just become essential. This creates an opportunity for companies that build robust infrastructure to support the growing ecosystem of autonomous agents. The availability of autonomous agents will also increase the basis of general users of crypto. By eliminating the need for technical expertise or constant surveillance, agents will give daily users the confidence necessary to engage with DEFI, which leads to broader adoption and inclusiveness of cryptography.

Potential risks

There are risks that we must also seek – the most notable being their dependence on centralized infrastructure. Many autonomous agents operate on centralized servers, use business APIs to access AI models, operate on traditional financial rails and the source of paid suppliers. Each of them is a single potential point of failure. An agent could lose his capacities due to the giving up, censorship or infrastructure closings. Another major risk is the lack of transparency to find out if these agents are really AI. It is often difficult to say if a decision, a post or a declaration comes from a real AI or a masked human as one to manipulate stories. Ironically, while Captchas have long evolved to distinguish humans from the machines, the challenge now consists in checking whether a machine is actually behind a decision.

The decentralized infrastructure offers a solution to these risks by allowing cryptographic verification of AI actions on the chain, ensuring transparency and reducing dependence on centralized systems.

Look in 2025

At the end of 2025, agent’s interactions will probably exceed human interactions in the blockchain financial sector, especially in Defi. This change will be motivated by the efficiency, speed and scalability of autonomous agents, making it the preferred choice to execute trades, manage portfolios and automate complex strategies.

Autonomous agents represent the next logical step in autonomy, fundamentally changing the way we live, work and express businesses. They offer a chance to participate in the boom of productivity and innovation they allow. It would be short of this change would be short, because the growth potential for those who support the right solutions is enormous. However, we must balance excitement with caution. Like the Dot-Com era, all autonomous agents will not succeed, but those who offer real value have immense potential.

Ivan Morozov

Ivan Morozov

Ivan MorozovFounder of Autonomous Finance and co-author of the AO Protocol, is a technologist specializing in financial infrastructure and financial systems based on agents.

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