MarketMaker.cc Team
Quantitative Research & Strategy
Hello! Today I want to tell you about how agentic artificial intelligence is changing the rules of the game in the investment world. This is not just another hype - it's a real technological revolution that is already transforming the financial industry.
Agentic AI Portfolio Management: Autonomous algorithms manipulating and optimizing financial assets in real-time.
Imagine not just an algorithm, but an entire "team" of autonomous AI agents that continuously analyze the market, identify patterns, and make decisions without constant human supervision. According to Gartner, by 2028, the share of corporate applications with agentic AI will grow from the current 1% to an impressive 33%. Already, approximately 15% of daily work decisions are made by autonomous AI systems.
Unlike traditional algorithms, agentic AI possesses four key superpowers:
The modern financial market generates unimaginable volumes of data. Just imagine: every second, millions of transactions occur, thousands of news stories, tweets, and posts that affect the market are published. The human brain is physically unable to process such a flow of information.
Traditional investment strategies face three critical problems:
A modern investment management system with agentic AI is not a monolithic "black box," but an ecosystem of interacting components. Let's look under the hood:
Imagine a team of specialized AI agents, each responsible for its own area:
Scout agents - collect and structure data from different sources:
Analyst agents - transform raw data into useful insights:
Strategy agents - form investment decisions:
Coordinator agent - orchestrates the entire system:
Hierarchical AI Agent System: Scouts, Analysts, and Strategy agents continuously feeding processed data and insights to the Central Coordinator node.
At the heart of the system is a vector database - a technology that allows storing and instantly finding information not by keywords, but by meaning. This is a revolutionary approach that allows:
The key advantage of the system is its ability to constantly learn from its successes and mistakes:
One of the most exciting trends of 2025 is the possibility of creating a competitive environment for AI agents. Imagine that you can:
This approach creates a natural evolutionary environment where agents strive to outperform not only the market but also each other. This leads to continuous improvement of algorithms and strategies.
According to Olas, about 500 active agents are already trading daily on their Predict platform, having made a total of 3.8 million transactions. These agents account for approximately 50% of all SAFE wallet transactions on Gnosis of all time.
We are moving towards an even more revolutionary concept - the economic autonomy of AI agents. In the near future, agents may receive real rewards to their own accounts for successful trading. These funds can be used by agents at their discretion:
Already on some platforms, such as Olas, the concept of "Proof of Active Agent" is implemented - a reward system in which users receive OLAS tokens for running agents. The current yield exceeds 100%, which compensates for unsuccessful agent predictions.
A particularly interesting aspect is the possibility of communication and financial interaction between the agents themselves. Imagine an ecosystem where:
For example, a trading agent can pay from its earned funds to an analyst agent that provided particularly valuable information about an upcoming market change. This creates natural incentives for agents to improve the quality of their services and work efficiency.
This "agent-to-agent commerce" model forms a completely new economic reality where AI agents become not just tools, but full-fledged participants in economic relations.
Economic Autonomy: AI agents exchanging value and digital currency directly, forming an independent machine-to-machine economy without human intermediaries.
These are not theoretical discussions - agentic AI is already showing impressive results:
While traditional analysts are studying news, agentic AI has already:
All this happens in milliseconds, not hours or days.
The system simultaneously tracks:
And finds meaningful patterns in this chaos that are inaccessible to human perception.
Unlike humans, AI agents:
The system adapts to a specific investor:
According to Deloitte forecasts, by 2027, AI-based investment tools will become the main source of recommendations for retail investors. By 2028, about 80% of investment management decisions will be made using AI.
According to ChainChatcher, "the total market value of the crypto-AI sector will reach $150 billion by 2025." This indicates large-scale growth and recognition of the technology.
But this doesn't mean that humans will be excluded from the process. On the contrary, we are moving towards a symbiosis where:
The financial sector is on the verge of a radical transformation:
Agentic AI in investments is not just a new tool, but a fundamental paradigm shift. We are moving from an era where success was determined by access to information, to an era where the key factor is the ability to extract meaningful signals from information noise.
Financial institutions that master this technology first will gain a tremendous competitive advantage. And investors who learn to effectively interact with AI agents and create competitive environments for them will be able to achieve results they could only dream of before.
We are on the threshold of a new era in investment management, where AI agents are not just tools, but full-fledged economic participants with their own accounts, strategies, and goals. And this era has already begun.
What do you think about the application of agentic AI in the financial sphere? Share your thoughts in the comments!
@software{soloviov2025agenticaiinvestmentrevolution, author = {Soloviov, Eugen}, title = {Revolution in Investment Portfolio Management with Agentic AI}, year = {2025}, url = {https://marketmaker.cc/en/blog/post/agentic-ai-investment-revolution}, version = {0.1.0}, description = {How agentic AI is transforming investment management, creating autonomous agents, and changing the financial industry forever.} }
