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ust

ChainCatcher "From Cryptocurrency to Smart Economy" Roundtable: AI Agents are shifting from conversational to executable, with trust and verifiability becoming key bottlenecks for scalability

At the "Crypto 2026: From Cryptocurrency to Smart Economy" themed forum held in Hong Kong, guests including KiteAI's Asia Pacific head Laughing, Sentient's Asia Pacific head Anita, Brevis content director Nic Tang, Mentis product head Jerry, and Predict.fun's Asia Pacific BD head Ah Huang Ricardo engaged in a roundtable discussion on the theme "AI × Crypto --- The Foundation of the Next Generation Digital Economy."Regarding whether the outbreak of open-source AI Agents (such as "raising lobsters") is a short-term sentiment or a long-term trend, Laughing believes this marks a paradigm shift of AI from "conversational" to "executive," signaling the beginning of a long-term trend. However, Agents lack a physical identity, making it difficult for merchants to trust their trading behavior, and issues of data leakage and uncontrollability remain obstacles that must be overcome for scaling. Jerry pointed out, based on his own usage experience, that current Agents face security risks such as memory fuzziness, token consumption in dead loops, and accidental file deletion. Although newly emerged Agents have improvements, they still have shortcomings. Ah Huang Ricardo stated that behind the short-term sentiment is real user demand, but truly reproducible profitable trading Agents are still very rare, and there is a long way to go.Addressing core bottlenecks such as trust, security, and verifiability, Nic Tang emphasized that the current execution process of Agents is like a black box, where users cannot verify whether their decisions are executed as promised. Zero-knowledge proof technology can mathematically prove the source of an Agent's output and compliance with behavior, while not exposing privacy. Anita added that Sentient is committed to building an open and collaborative AI agent network, promoting the deep integration of AI and blockchain in identity, data, and incentive layers, providing foundational support for the next generation digital economy.Regarding the application scenarios that are likely to scale first, the guests generally believe that the programming field is relatively mature, and Agents in prediction markets perform better than humans in specific tracks due to their rationality and lack of emotions. In the short term, they are optimistic about API Marketplace and cross-platform consumer shopping Agents, while in the medium term, they are optimistic about content creation AI (such as AI influencers). Agent-to-Agent interaction and the Agent/Skill Marketplace are seen as important future trends.

Tencent Cloud Industry Architect Alan Nie: The dual engines of Cloud + AI drive Web3 to break through the bottlenecks of infrastructure and R&D efficiency

At the "Crypto 2026: From Cryptocurrency to Smart Economy" themed forum held in Hong Kong, Tencent Cloud's industry architect Alan Nie delivered a keynote speech titled "Cloud + AI Dual Engine: Tencent Cloud Empowers New Growth in Web3."Alan Nie pointed out that Web3 enterprises face three major bottlenecks in global infrastructure, R&D efficiency, and business intelligence. Tencent Cloud deeply integrates the "Cloud + AI" dual engine to provide low-latency infrastructure covering the globe. Among them, the Singapore data center is the only cloud provider in the world that offers four availability zones, and the self-developed TDSQL-C database can achieve elastic scaling in seconds, with Redis single-node performance reaching over 300,000.In terms of AI empowerment, Tencent Cloud launched CodeBuddy (AI Pair Programmer) and WorkBuddy (Personal AI Assistant), which can automatically generate code, batch process office documents, organize meeting minutes, and support multi-agent parallel execution of complex tasks. In financial scenarios, the automation research report reproduction cycle has been shortened from three days to half a day; in on-chain data analysis scenarios, storage costs have been reduced to one-tenth of the original, with query responses reaching millisecond levels.Alan Nie stated that Tencent Cloud is committed to using the "Cloud + AI" dual engine to help Web3 enterprises build the next generation of smart economic infrastructure.

Gongye Feng, founder of Monera Digital: AI should serve as a "trust accelerator" for private banking, rather than replacing traders

At the "Crypto 2026: From Cryptocurrency to Smart Economy" themed forum held in Hong Kong, Gongye Feng, co-founder and CEO of Monera Digital, delivered a keynote speech titled "AI Empowered Private Banking for the Smart Economy."Feng pointed out that what disappeared after 2022 was not the demand for digital assets, but the market's confidence in the ways capital could enter. Monera Digital positions itself as an AI private bank for the smart economy, with the core not being to use AI as traders, but to act as an accelerator, compressing the research, testing, and iteration cycles from months to days.He emphasized that risk control must be institutionalized rather than personalized. Monera has built four lines of defense: source constraints on exposure and collateral, automated clearing and margin management, complete segregation of client assets, and eliminating maturity mismatches while maintaining liquidity buffers. Additionally, AI plays the role of a 24/7 digital CRO, achieving a leap from passive monitoring to proactive warning.In terms of service model, Monera does not operate as a pure technology platform, but insists on "anti-AI illusion," where AI is responsible for optimization and efficiency, while trust, responsibility, and continuity of relationships are still borne by humans. Feng believes that the prerequisite for crypto assets to truly become configurable assets is to translate complexity into clear, continuous, and trustworthy private banking services.

Illustration of 78 Web3 Business Partners in Anchorage: A Financial Bridge Connecting Wall Street and the On-Chain World

The Web3 asset data platform RootData has outlined 78 business partners of Anchorage, including over 30 DeFi protocols, more than 20 blockchain infrastructure projects, as well as various stablecoins and payment settlement networks, covering the complete path from asset issuance to on-chain operations.Represented by institutions like BlackRock, products such as ETFs bring funds into the crypto market, after which Anchorage assumes custody and compliance responsibilities. These assets are then deployed on-chain, participating in liquidity operations and yield generation through DeFi protocols, stablecoin systems, and infrastructure networks. Ultimately, they flow back into the traditional financial system through OTC, trading, and clearing paths.In this process, Anchorage's role is not just "custody," but a key node throughout the entire lifecycle of funds, with its upstream and downstream including crypto-native institutions such as A16z, Blockchain Capital, Electric Capital, and Defiance, as well as DeFi protocols, L1/L2 networks, stablecoins, and clearing and settlement systems, along with fintech companies like AngelList and Series Financial, as well as payment companies and core banking systems.Anchorage's partner strategy emphasizes "key path coverage," ensuring that funds have corresponding infrastructure at every stage. As compliant entry points like ETFs gradually open up, the crypto market shifts towards asset allocation-driven strategies, and bridge-type institutions like Anchorage are moving from the background to the core. Related compilation: Anchorage Web3 Partner Network Compilation (continuously updated)Crypto projects actively showcasing their partner networks have become a key way to enhance transparency and market trust. It is reported that RootData welcomes Web3 project parties to claim data and continues to track and open more project business relationship disclosure channels. The platform has continuously released multiple editions of crypto project ecological maps, nominating Web3 ecological partners for upstream clients such as Visa, Mastercard, and Coinbase.If you wish to nominate your project in future ecological maps, please fill out the RootData 2026 Industry Ecosystem Mapping form to supplement your important clients and partners.

The cryptocurrency and AI industries raised $250 million in the past year for the U.S. midterm elections

According to the Financial Times, an analysis of campaign finance records shows that the cryptocurrency and AI industries have raised approximately $250 million over the past year to support congressional candidates in the upcoming U.S. midterm elections in November.A16z co-founders Marc Andreessen and Ben Horowitz donated a total of $25 million in February to the pro-AI Super PAC "Leading The Future." The organization has raised about $75 million from billionaires, including the two mentioned above and OpenAI co-founder Greg Brockman; when including "dark money" non-profits that do not disclose their donors, that figure rises to $140 million. The largest Super PAC in the crypto industry, Fairshake, has raised over $134 million on its own.In January, Cantor Fitzgerald, a Wall Street firm previously led by current U.S. Secretary of Commerce Howard Lutnick and now managed by his son Brandon, which has a partnership with Tether, donated $10 million to the pro-crypto Super PAC Fellowship; the parent company of the major crypto platform, Anchor Labs, also added a $1 million donation to Fellowship PAC. Elon Musk donated $1.6 million to his America PAC in March, significantly reducing his involvement compared to 2024, when he invested over $250 million across various PACs.Anthropic has pledged $20 million to the non-profit Public First Action, which has redirected some of the funds to a Super PAC to influence the 2026 elections. The company holds a relatively unique position in the industry, explicitly calling for the establishment of strict federal AI safety regulations, which diverges from the majority of participants in the AI industry.
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