Imagine your investments working 24 hours a day, scanning the world markets for the best opportunities – all without you having to lift your finger. His futuristic? It is already a reality.
In traditional finance (tradfi), algorithms manage almost 70% of American action operations. Now, the agents of artificial intelligence (AI) intensify. These are not only basic robots but innovative systems that learn, adapt and make decisions in real time. Vaneck predicts that the number of AI agents will soar from 10,000 to more than a million by the end of 2025.
What it means for you
AI agents are already at work behind the scenes of market trends, to balance portfolios and even manage liquidity on decentralized exchange platforms like Sauverswap and United. They blur the lines between tradfi and decentralized finance (DEFI), transversal transactions which should jump by 20% in 2025.
Can we really trust AI with our money?
Autonomous finance is not new, but today’s AI agents work with increased autonomy and sophistication. So can we trust these agents to manage billions of digital assets? What guarantees exist when decisions come from algorithms, no humans? Who would be held responsible for manipulation of the market carried out by an agent?
These concerns are valid. While AI agents assume more responsibilities, and especially since the convergence between crypto and tradfi is accelerating, concerns about transparency and market manipulation will increase. For example, some blockchains allow trades in progress and sandwich attacks that can exploit the blockchain consensus in a process known as maximum extractable value (MEV). These transaction strategies harm equity market. By operating at the machine speed, AI agents could overeat these risks.
Enter DLT: the trusted layer we need
Confidence is essential and the technology of the big distributed book (DLT) offers a solution. The DLT ensures transparency in real time, immutability and decentralized consensus, ensuring that the decisions are following and verifiable. The identity management Institute reported that companies that have integrated blockchain identity systems have already reduced fraud by 40% and identity theft by 50%. The application of these railings to finance led by AI can counter manipulation and promote equity. In addition, the use of DLTs with a fair control increases rapidly, ensuring that transactions are sequenced in a fair and unpredictable manner, responding to the concerns of the MEV and promoting confidence in decentralized systems.
Defai: where finance is directed
A blockchain -based model and confidence -centered could unlock a new paradigm, “Defai”, in which autonomous agents can operate freely without sacrificing surveillance. Open Source protocols like Elizaos, which have blockchain plugins, already allow a secure and compliant interactions between agents through DEFI ecosystems.
Conclusion: Confidence will define the future of AI
While AI agents occupy more complex roles, verifiable confidence becomes non -negotiable. Verifiable calculation solutions are already built by companies like Eqty Lab, Intel and Nvidia to anchor chain confidence. The DLT ensures transparency, responsibility and traceability. This is already in motion; Channel agents now operate which offer services ranging from the execution of trade to predictive analysis. We can trust AI when we trust the model entry and exit.
The question is not now if The institutions will adopt autonomous finances, but if executives can evolve fairly quickly. For this prosperous revolution, confidence must be integrated into the basis of the system.
