Just two years ago, OpenAI’s ChatGPT shocked the world with its outstanding capabilities of generating textual information. It was a marketing breakthrough for the industry but nothing particularly impressive in terms of technology. ChatGPT is a poster child of the long-standing machine learning discipline that has been a serious target for many researchers for decades.
It is not a surprise that right after the explosion of ChatGPT’s popularity, the market was immediately full of competition. Now, all tech giants have their own proprietary AI models that can perform just as well as or slightly worse than OpenAI’s flagship product. It is also among the biggest DeFi trends in 2025 with many companies prioritizing AI. The latest Deep Seek model is outperforming OpenAI’s artificial agent on many fronts while costing way less to train.Precedence Research claims that the size of the gen AI market size will reach at least $30 billion in 2025 and may grow to a gargantuan $1 trillion by 2034 with a CAGR of 44.2%. Bloomberg has a similar estimate speculating that the industry will grow to $1.3 trillion by 2032. McKinsey says that gen AI is capable of adding over $4.4 trillion to the global economy across 63 different sectors.
Agentic AI is a sum of three concepts:
All of the above can be achieved using existing technology. Many large language models are already acting as full-fledged AI agents that can work almost independently from humans. By using various methods for assessing the effectiveness of artificial agents, researchers are slowly narrowing down the list of the most efficient models and approaches.
Agentic AI can be a flagship product (OpenAI) or enhance the currently existing product lineup (Meta, Twitter (X), Rivo, and others). One thing is clear as day: companies cannot ignore this groundbreaking technology. In a survey by Forbes, over 77% of businesses said that they are already using or planning to use AI solutions in their processes.
Artificial Intelligence as a product has been around for decades. In the broadest sense of the term, it is a form of intelligent behavior that can be expressed by a machine or a computer system. With advancements in hardware, more exotic versions of such intelligence started appearing in the world of advanced technology.
In a sense, a smart vacuum cleaner can be categorized as artificial intelligent:
The simplest applications of AI have been theorized long before the appearance of the first high-performance computational hardware. However, we could not apply the concept to many areas including big data, real-world navigation, or creativity. It can also teach users how to invest in DeFi and other novel financial instruments.
The influence of technology on the development of artificial agents is undeniable. Advancements in neural networks and machine learning allowed companies like OpenAI and Anthropic to step into the light. Agentic AI was a logical continuation of the trend that was forming in the tech industry.
An artificial agent is an expansion of the AI concept. It is a system capable of pursuing predetermined goals by autonomously breaking them into tasks that can be completed without human intervention. It works over long periods, gathers data, and generates outputs that can be used to advance its progress toward a certain goal.
Many contemporary AI products are, in fact, multi-agent systems where various types of otherwise independent systems act as sub-agents helping the system to produce holistic outputs that incorporate multiple forms of analysis.
Some of the most useful places where AI can thrive are customer relationships, financial analysis (DeFi investment in particular), and user experience personalization. The biggest models are employed to create content recommendation systems or generate better web search results.
In the world of fintech, companies are trying to implement AI across multiple fields including trading automation (DeFi Agents AI), accounting and auditing (Infosys BPM), and user experience (Rivo). These are great examples of successful projects using AI agents in their processes.
To dig a little bit deeper, let’s take a closer look at Rivo’s Maneki AI and what it can do:
Rivo is creating its flagship digital assistant based on user feedback. It is an excellent demonstration of how communities influence innovation in the field of AI.
Note that artificial intelligence is only enhancing human-centric investment analysis that takes into consideration a variety of factors including data aggregated from various sources by intelligent systems. For instance, Rivo assigns certain risk levels to verified DeFi investment strategies based on multi-factor analysis. So, a Syrup USDC Fixed Yield pool by Pendle has a 13.5% APY and a 90 risk score (safe) due to the prevalence of institutional borrowers, stable volatility, and robust collateralization.
The Maneki AI may suggest this strategy to a user who wants a safer option for long-term capital allocation with a relatively high premium. Alternatively, it could direct users to the Base Yield Index strategy which has been performing quite well with a respectable 13.5% weekly APY.
The evolution of AI technology is affecting many industry sectors. The rate of usage of artificial intelligence by end users is around 77% while only 30% of people think that they are using it. The statistic demonstrates the stealth nature of the technology with its applications in customer relationships, content generation, and many other sectors going live unnoticed by users.
60% of surveyed business owners said in their responses to Forbes that they expect generative AI to increase the productivity of their businesses. One of the biggest gainers of the ongoing AI boom is the manufacturing industry positioned to add over $3.8 trillion in value by 2035.
The undeniable truth is that AI agents will be used across all technological platforms in high capacity. From better customer support to enhanced supply chains, artificial intelligence can bring improvements to all industry sectors in one form or another.
Companies that innovate today are on a low start but they also have the highest potential to break through the ceiling and deliver outstanding products to their clients. Rivo is experimenting with its AI feature to ensure that users enjoy the best user experience while selecting from a pool of investment strategies discovered and analyzed by experienced human experts. It is a great way to learn how to invest in DeFi.
Current and future trends in the field of artificial agents are unclear but the general direction is defined with a surprising level of precision. The industry is going forward ignoring all hurdles.
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