Artificial intelligence progresses steadily to become an integral part of commercial operations. Blockchains also benefit greatly from technology, especially artificial intelligence agents who can automate all types of tasks that have been implemented on Onchain. However, its integration is open to improve it to lead to more efficient cases of use.
Cointelegraph accelerator I recently collected the owners of investment capital in the X Spaces session to explore the matter. Zoe Chang, co -founder of the Sedia project; Viona, the pioneer of investment and research at DWF Ventures and Samiz Bayan, investor in Draper Dragon, intersection of artificial intelligence and encryption agents, how to enhance encryption bars to develop artificial intelligence and potential game in this industry.
“We need more advanced Artificial intelligence agents On the market, what said, “We need Amnesty International agents that can make complicated decisions and interact with a group of different platforms. At the present time, the market is often filled with basic and medium factors.”
– Cointelegraph (@cointelgraph) March 19, 2025
Real cases of use
MA has admitted that investors often see Amnesty International the word tons, especially when the founders fail to explain a necessary reason for their projects. He said: “When you see a lot of similar stadiums about artificial intelligence without a clear use, it seems to be just a trademark,” and also confirmed that artificial intelligence agents can show specific use cases.
“Many artificial intelligence customers can be a great way to achieve income from UGC,” Zhang noted. “Many of these projects are really driven by society. For example, it makes frameworks like Griffin AI or Openai Swarm Workflow tasks more efficient and interacting with people in a meaningful way.”
“Defi and AI make a strong pair“Bayan added.” It is not only related to the implementation of professions – it is related to the use of artificial intelligence to monitor situations, operate snipers and act when you are away from your screen. “
MA mentioned a couple of Defai projects on which DWF laboratories work on. “Heyanon combines the AI conversation and data collection in an actual time. It helps users manage Defi operations such as Dam, swap, preparation and borrowing, and analyzing trends by withdrawing visions of platforms such as Twitter, TeleGram, Discord and GitHub.”
“Another project that we closely monitor is AI16Z, which redefines the models of traditional fund management. Their artificial intelligence agent resembles the manager of the virtual hedge fund – it does not only follow the rules of pre -preparation but it analyzes market morale and onchain data and conditions for making decisions.”
The speakers have also noticed, there is also a growing interest in how artificial intelligence agents work together, especially through workflow tasks and coordination layers. These settings determine whether the agents are working in sequence or parallel and how to exchange data and memory to achieve results. “It is great to think of the agent’s coincidence,” said Zhang. “In the future, people believe that more than 90 % of the company’s functions can be managed by autonomy agents – management, business development, marketing, and accounting – all of which are mechanism.”
Coordination layers that allow agents to work together will be effective as a major area of attention, Zhang said: “We need business frameworks where many factors can organize tasks together to produce a meaningful result.”
She cited an example of Nethermind, which is fully manages by autonomous agents: “Each agent himself records onchain, and transactions are governed by consensus between agents. Through Nethermind Launchpad, developers can customize different chains run.
Regarding institutional adoption, Bayan cited that organizational uncertainty and deep deep systems as major barriers. I suggest following a hybrid approach, as institutions continue to rely on traditional systems with Blockchain integration into certain areas, as it is a more predictable compromise. “They do not have to enter everything, they can start allowing some weapons to experience weapons with decentralized and constructive techniques from there,” he added.
Then he referred to Carv as an example that large institutions can adopt: “They use Blockchain data to obtain benefits and accreditation data, but they rely on machine learning for monochrome people, which is a wonderful dam model.”
The future of artificial intelligence agent
Each AI’s agent project needs to be ever using a symbol immediately, according to Zhang. “It is better for some agents to be tested on the market first. Obtaining customer notes and proving that the state of use must come before designing the distinctive symbol.
“I do not say that artificial intelligence agents revolve around Mimokins, but 99 % of the time, people treat them in this way because they launched the sales of society,” continued. “From the perspective of adventure, we want to see more artificial intelligence projects designed for a long-term value with solid products, real revenues and frequent cash flow. We need products while staying on energy-not only the peak in TGE and then disappears. At the present time, there are very few projects that actually achieve sustainable demand.”
Bayan said this feeling, stressing the importance of use for both the final users and developers: “Users should not realize that they use Blockchain or Web3. It will be the next moment of penetration when the large Web2 companies start using a Blockchain account. You should feel effortlessly. “
Zhang referred to the direction of the use of artificial intelligence agents-or robots-to simplify the progress of work and integration tightly with platforms that users already use, such as social media: “can easily provide jobs such as social betting or health information by a robot that works with the same AI within Twitter or other social media platforms.
She concluded that there is very soon to see very strong products supported by robots driven by artificial intelligence and artificial intelligence agents.
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