Web3 needs to be more human, and emotional AI is the answer – Crypto News

Opinion by: Max Giammario, founder and CEO of Kindred

The interfaces and user experience in Web3 tools are terrible, even more so when compared to their Web2 counterparts. This lackluster experience for Web3 is losing the attention of as many users as desired, and with how fast the ecosystem moves, these shortcomings are rarely paid attention to.

AI agents can be an excellent tool to overcome these weaknesses. Their potential to improve development and user experience is remarkable, although it has yet to reach its real potential. Once combined with emotional AI, which will enable us to understand contexts beyond their programming, we will see a quantum leap from Web3 tools to ordinary users.

Web3’s learning curve is very steep

Consider your first interactions with a Web3 wallet — a scary, difficult experience. Many people fear that, at any moment, they could make a mistake, which could mean losing money. This situation can be less uncomfortable if we add agents with emotional AI that can guide new users and provide personalized support, keeping people at ease during their learning process.

If the first interaction with Web3 is seamless in this way, adoption could grow. A better user experience would be a win-win for the entire industry, which suffers from having few users. Reaching a level of adoption of a Web2 tool would be a win for the ecosystem.

Emotional AI companions would make everything easier

With the potential that emotional AI agents have, they would facilitate the experience of new users, and they could serve as personal assistants to interact with the rest of the Web3 tools in a more autonomous, personalized way.

Emotional AI agents could act as motivational coaches, providing continuous, personalized and empathetic accompaniment that enables them to connect deeply with their users and guide them in the best practices to avoid significant losses in Web3.

Recent: Inside an AI-powered Web3 game’s race to 100 million users

These are just some of the most evaluated uses of Web3 today. The more applications it has in the future, the more potential is unlocked. Combining so much state-of-the-art technology, however, entails significant risks that must be considered in its development.

Implementing emotional AI in Web3 carries risks

Integrating emotional AI within the Web3 ecosystem could be very beneficial. Still, it must be considered that it entails risks that any AI has, plus what the use of Web3 implies. One of the most significant risks would be using personal information because, as an emotional AI, it will require more information from its users, which increases the danger of data leakage.