Imagine your investments working throughout the day, scanning global markets to get the best opportunities, everything without having to raise a finger. Does futuristic sound? It is already a reality.
In traditional finance (tradfi), algorithms handle almost 70% of US actions operations. Now, artificial intelligence agents (AI) are taking a step forward. These are not only basic bots, but innovative systems that learn, adapt and make decisions in real time. Vaneck predicts that the number of AI agents will shoot 10,000 to more than one million by the end of 2025.
What this means for you
IA agents are already working behind the scene that analyze market trends, balance the wallets and even manage liquidity on decentralized exchange platforms such as Saucerswap and Unisswap. They are blurring the lines between tradfi and decentralized finances (DEFI), and cross -chain transactions are expected to jump 20% in 2025.
Can we really trust AI with our money?
Autonomous finances are not new, but today’s agents operate with greater autonomy and sophistication. So can we trust these agents to administer billions in digital assets? What safeguards exist when decisions come from algorithms, not human? Who would be responsible for manipulation of the market carried out by an agent?
These concerns are valid. As IA agents assume more responsibility, and especially as the convergence between crypto and tradice accelerates, concerns about transparency and market manipulation will grow. For example, some block chains enable frontal operations and sandwich attacks that can exploit the Blockchain consensus in a process known as maximum removable value (MEV). These transaction strategies damage market equity and confidence. Operating at the speed of the machine, the AI agents could superride these risks.
Enter DLT: the confidence layer we need
Trust is key, and distributed accounting technology (DLT) offers a solution. DLT provides real -time transparency, immutability and decentralized consensus, ensuring that decisions are traceable and auditable. The Identity Management Institute reported that companies that integrated the blockchain identity systems have already reduced fraud by 40% and identity theft by 50%. The application of these railings to the finances driven by AI can counteract manipulation and promote equity. In addition, the use of DLT with fair orders is growing rapidly, ensuring that transactions will be sequenced just and unpredictable, addressing Mev’s concerns and promoting confidence in decentralized systems.
Defai: Where the finances are directed
A model centered and fed by Blockchain could unlock a new paradigm, “defai”, in which autonomous agents can freely operate without sacrificing supervision. Open source protocols such as Elizaos, which have blockchain accessories, already allow safe and compatible interactions between agents in defi ecosystems.
In a nutshell: trust will define the future of AI
As IA agents assume more complex roles, verifiable trust becomes non -negotiable. Verifiable computing solutions are already being built by companies such as Eqty Lab, Intel and Nvidia to anchor confidence in the chain. DLT guarantees transparency, responsibility and traceability. This is already moving; Agents in the chain are now operating that offer services ranging from commercial execution to the predictive analysis. We can trust AI when we trust the entrance and exit of the model.
The question now is not Yeah Institutions will adopt autonomous finances, but if the frames can evolve quick enough. For this revolution to prosper, trust must be integrated into the base of the system.
