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From Stablecoins To Autonomous AI: Exploring Key Trends Shaping The Future Of Web3 And Crypto At Hack Seasons Opportunity Mixer

Digital Pulse by Digital Pulse
October 8, 2025
in Metaverse
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From Stablecoins To Autonomous AI: Exploring Key Trends Shaping The Future Of Web3 And Crypto At Hack Seasons Opportunity Mixer
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by
Alisa Davidson


Revealed: October 08, 2025 at 9:00 am Up to date: October 08, 2025 at 2:50 am

by Ana


Edited and fact-checked:
October 08, 2025 at 9:00 am

To enhance your local-language expertise, typically we make use of an auto-translation plugin. Please notice auto-translation might not be correct, so learn authentic article for exact data.

In Temporary

Key developments on the intersection of crypto and AI embody the rise of stablecoins, the necessity for verification methods, the expansion of decentralized infrastructure, and the evolution of DAOs and AI autonomy.

From Stablecoins To Autonomous AI: Exploring The Key Developments Shaping The Future of Web3 and Crypto At Hack Seasons Opportunity Mixer

On the forefront of blockchain innovation, the newest Hack Seasons Alternative Mixer held in Seoul introduced collectively outstanding figures from the AI and blockchain sectors to discover the evolving intersection of those two transformative applied sciences. Moderated by Amos Zhang, OG at Close to Basis, the panel “When AI Rewires Web3, Who Wins?” included audio system from Cronos, Kgen, Aethir, and Aleph Cloud.

The dialog started by addressing the quick rise of AI lately and the panelists’ views on the intersection of AI with blockchain and the broader cryptocurrency area. In addition they mentioned the challenges that must be addressed.

One of many panelists identified that the mix of blockchain and AI is a pure one, explaining that AI works with knowledge, and blockchains are inherently open, with clear good contracts and knowledge—making it an ideal surroundings for AI to study and self-train. Nevertheless, the problem lies within the many grand visions for AI brokers which can be alleged to robotically develop the wealth of customers whereas they deal with different duties. Regardless of this, concrete examples of how AI can successfully handle wealth have been scarce. The important thing problem, subsequently, is to create incremental, actionable use circumstances the place AI can acquire public belief. Many individuals stay hesitant to entrust their cash to AI, particularly with the present excessive charge of AI “hallucinations” or inaccuracies.

Different audio system supported this view, highlighting the crucial function blockchain can play in constructing verification methods—not only for AI brokers but in addition for people concerned in coaching these fashions or brokers. Every AI agent requires human analysis to make sure that they’re progressing in the fitting path. Moreover, AI brokers require an enormous community of builders to make sure correct performance.

The panel additionally mentioned three layers at which blockchain and Web3 allow AI. The primary layer is the verification layer, which ensures the output generated by AI brokers is reliable. Key elements inside this layer embody assessing whether or not the output is AI-generated, figuring out which mannequin was used, and verifying that the fashions themselves have been educated correctly. Zero-knowledge applied sciences (ZK) have made important progress on this space, and ZK-verification is predicted to turn into a regular sooner or later, together with in regulatory frameworks.

The second layer focuses on the financial points of blockchain. Web3 and cryptocurrency introduce financial dynamism to AI, enabling AI brokers to course of funds, for instance. The third layer addresses infrastructure—AI can’t be reliant on just a few giant firms that management GPUs, as these firms basically management AI improvement resulting from their monopoly on GPU assets. Cryptocurrency allows a extra distributed strategy to infrastructure by spreading the availability of GPUs the world over, thus fostering innovation.

A recurring theme all through the dialogue was the significance of Web3 in safeguarding the way forward for AI. As AI turns into built-in into on a regular basis gadgets, there are rising issues about privateness. If AI has entry to all knowledge and that knowledge is just not safe, it may pose important dangers to people’ privateness. With centralized companies controlling a lot of the information and influencing folks’s day-to-day selections, Web3 affords an answer by enabling decentralized, personal AI. In a Web3 framework, AI can run in totally confidential situations, with verifiable fashions that guarantee transparency. Customers can deploy their very own AI with out counting on centralized suppliers, guaranteeing larger privateness and autonomy.

Moreover, the panelists mentioned the highway to Synthetic Normal Intelligence (AGI) and the function of Web3 in that journey. At the moment, centralized companies management the event of AGI by amassing knowledge facilities and coaching fashions, both by means of open-source or proprietary approaches. Nevertheless, attaining AGI requires a totally autonomous system. In a decentralized surroundings, Web3 can facilitate this by enabling AI brokers to handle their very own computing assets, practice their very own fashions, and performance independently—with out the necessity for bank cards or centralized management. This autonomy may pave the best way for AGI and even Synthetic Superintelligence (ASI), with the additional benefit of being open-source and decentralized. This, in line with the panelists, is a crucial space for future improvement and exploration.

Key Tendencies Shaping The Future Of Crypto And AI

Additional insights had been shared concerning the most important developments anticipated within the subsequent 12 months on the intersection of cryptocurrency and AI. The audio system mentioned the macro-level alternative, noting that giant companies are more and more trying to enter the cryptocurrency area by launching their very own stablecoins as a approach to generate extra income. These firms are additionally searching for dependable on-ramps and off-ramps for stablecoin transactions. The potential of a world with lots of of stablecoins was raised, suggesting that this might resemble the present use of bank cards, with folks holding a number of stablecoins for varied functions.

The query was posed as to how these lots of of stablecoins may very well be aggregated—wouldn’t it be AI or different builders taking over this problem? This presents a big alternative, as conventional companies enter the blockchain area through stablecoins, creating the potential to construct extra accessible and environment friendly infrastructure. This might result in the event of a seamless ecosystem for commerce, the place AI brokers play an integral function.

One other prediction highlighted by the audio system centered on the rising development of VeriFI, which builds upon the concept the market will quickly be flooded with AI brokers. Within the coming months, it could turn into troublesome to distinguish between merchandise generated by people and people created by AI brokers, or to discern whether or not actions are carried out by AI brokers or actual customers. To handle this, there might be a rising want for a verification layer that distinguishes AI-driven actions from human actions, whereas additionally guaranteeing transparency across the underlying fashions and applied sciences used.

The audio system additionally agreed with the sooner level about stablecoins and launched one other evolving development: prediction markets. This use case is predicted to onboard lots of of tens of millions of customers quickly. In the long run, Actual-World Asset (RWA) tokenization is seen as a elementary transformation in finance. One other development mentioned was the continued progress of Decentralized Bodily Infrastructure Networks (DePIN).

Within the AI area, audio system famous that there could be a larger deal with open-source fashions, as enterprises have gotten more and more critical about their AI methods.

The dialog then turned to the evolution of Decentralized Autonomous Organizations (DAOs), that are anticipated to vary how governance is approached. One rising idea mentioned was totally autonomous agent organizations, the place the DAO itself capabilities as an agent—managing funds and executing actions independently. On this mannequin, customers would have the chance to personal shares within the DAO. Moreover, consumer interfaces (UI) are anticipated to endure important transformations, with AI enjoying an important function on this shift.

Disclaimer

According to the Belief Challenge tips, please notice that the knowledge supplied on this web page is just not supposed to be and shouldn’t be interpreted as authorized, tax, funding, monetary, or every other type of recommendation. It is very important solely make investments what you’ll be able to afford to lose and to hunt impartial monetary recommendation you probably have any doubts. For additional data, we recommend referring to the phrases and circumstances in addition to the assistance and assist pages supplied by the issuer or advertiser. MetaversePost is dedicated to correct, unbiased reporting, however market circumstances are topic to vary with out discover.

About The Creator


Alisa, a devoted journalist on the MPost, focuses on cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a eager eye for rising developments and applied sciences, she delivers complete protection to tell and interact readers within the ever-evolving panorama of digital finance.

Extra articles


Alisa, a devoted journalist on the MPost, focuses on cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a eager eye for rising developments and applied sciences, she delivers complete protection to tell and interact readers within the ever-evolving panorama of digital finance.








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