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AI is finally claiming its place at the crypto table with DeFAI | Opinion

Max Yakubowski
Edited by
Opinion
AI is finally claiming its place at the crypto table with DeFAI | Opinion

Disclosure: The views and opinions expressed here belong solely to the author and do not represent the views and opinions of crypto.news’ editorial.

People might wonder why trust in crypto’s decentralized nature remains a challenge after so many years. While its unpredictable system may attract some risk-tolerant investors, it raises a red flag for more conservative traders. In traditional banking, if an issue arises, the typical course of action is to call customer service. After a lengthy verification process, a representative eventually assists the customer. 

When it comes to crypto, the experience is quite different. Firstly, there are no ‘customer service’ representatives for DeFi and no central authority to help solve issues. If users have lost access to their digital wallet or forgotten their private key, they have no one to turn to for support, as their journey in crypto is entirely self-sufficient. 

As a result, wallets often remain dormant, as some users lack the technical skills and expertise to navigate the ecosystem. According to a Reuters article, an estimated 20 percent of Bitcoin (BTC) total supply is inactive or locked in lost wallets. 

Recognizing this gap, a new sector of DeFi has emerged called DeFAI, which integrates AI to enhance the user experience with a new type of customer success. While it might not be as personal as calling a bank, AI agents are beginning to fill this void. AI solutions offer valuable guidance for those new to crypto, helping users navigate the often confusing ecosystem. 

One of the main drivers behind AI’s integration into DeFi is the volatile nature of the crypto market. These fluctuations are typically driven by online speculation, with a single comment or tweet having the power to impact the value of specific tokens or assets. In this unpredictable environment, the need for accessible, AI-powered support has never been more crucial to helping users make data-driven decisions. 

In January, for example, a fake Barron Trump memecoin quickly amassed a market capitalization of $460 million, mainly due to its alleged association with the Trump family. However, the excitement was short-lived once people realized it had no legitimate connection. This resulted in the coin dropping 95 percent, wiping out millions from investors.

However, DeFAI allows users to access more accurate data analysis and improved decision-making tools. AI helps mitigate the impact of market speculations, identifying trends that might not be immediately obvious and ultimately assisting investors in making more informed decisions. 

While this new sector is still in its early stages, the potential for AI agents to enhance DeFi’s performance is clear. The web3 investment firm DFG recently published a report highlighting the potential of this emerging area of DeFi. The report breaks down the DeFAI ecosystem, exploring the three primary categories: the abstraction layer, autonomous trading agents, and AI-powered dApps. Each category plays a role in this new era of DeFi by offering unique capabilities, ranging from streamlining complex transactions to optimizing trading strategies and improving liquidity management. 

One key takeaway from the report is that the effectiveness of AI is directly tied to the quality of the data it relies on. In the context of DeFAI, AI agents perform optimally with access to real-time, verifiable data. High-quality datasets allow agents to predict price movements more accurately, leading to better trade recommendations and more informed decisions. Throughout the report, DFG highlights four key data providers that use reliable data: Mode Synth, Chainbase, sqd.ai, and Cookie. 

While AI agents might not replicate a portfolio manager or financial advisor, they add a new level of support to DeFi that can provide another layer of security for newcomers. As this sector grows, access to quality data and transparent decision-making processes will be crucial for driving broader acceptance.