# Сопутствующие статьи по теме Convergence

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Convergence", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

From Speculation to Utility: Why AI and Stablecoins Remain Unfazed by the Bear Market?

Despite the overall downturn in the cryptocurrency market in 2026, the AI and stablecoin sectors have outperformed, showing resilience and continued adoption. While Bitcoin price dropped by 18.5% and the total crypto market cap fell to $2.42 trillion, these two areas recorded significant growth in usage and market activity. Key data highlights include: - The AI token sector declined by only 14% in Q1 2026, the smallest drop among major categories. - Stablecoin total market cap reached a record $3.2 trillion, with monthly trading volume hitting $1.8 trillion in February 2026, also a historic high. USDC supply grew by 220% since November 2023, reaching $78 billion, while ChatGPT’s weekly active users increased tenfold to 900 million during the same period. Tether’s USDT remains the leading stablecoin with a $184 billion market cap. The convergence of AI and stablecoins is driven by structural trends: AI requires fast, low-cost payment systems, and stablecoins serve as ideal “internet money.” Both sectors benefit from real-world utility beyond speculation—AI enhances productivity and security, while stablecoins provide efficient global dollar distribution and settlement infrastructure. This shift reflects a broader market transition from speculation to practical, infrastructure-focused applications, positioning AI and stablecoins for sustained growth.

marsbit03/27 09:04

From Speculation to Utility: Why AI and Stablecoins Remain Unfazed by the Bear Market?

marsbit03/27 09:04

Paradigm's New Arithmetic: When Crypto Can't Hold $12.7 Billion, AI Becomes the Answer

Paradigm, a major crypto-focused VC managing $12.7 billion in assets, is raising a new $1.5 billion fund to expand into AI, robotics, and frontier tech. This shift follows a contraction in its crypto-only strategy—its third fund was $850 million, down from $2.5 billion in 2021—reflecting a lack of sufficiently large and early-stage crypto opportunities. The 2022 FTX collapse, which cost Paradigm $278 million, prompted internal reevaluation. By 2023, the firm had quietly removing “crypto” and “Web3” from its website, signaling a broader investment focus. Co-founder Matt Huang later clarified that Paradigm remains excited about crypto but sees AI as too significant to ignore. Paradigm’s move isn’t a full pivot to AI; rather, it targets the intersection of AI and crypto. Investments like $50 million in AI infrastructure firm Nous Research and the development of Tempo—a stablecoin payment platform—highlight this strategy. The firm believes AI agents will require programmable money and on-chain execution, creating synergies between both fields. The new fund also serves a narrative purpose: offering LPs a compelling growth story amid crypto’s concentration of capital and AI’s dominance in venture funding (61% of global VC investments in 2025). Paradigm aims to leverage its crypto expertise to capture value at the convergence of AI and decentralized technologies.

marsbit02/28 04:16

Paradigm's New Arithmetic: When Crypto Can't Hold $12.7 Billion, AI Becomes the Answer

marsbit02/28 04:16

Wintermute Ventures: By 2026, Crypto Gradually Becomes the Settlement Layer for the Internet Economy

Wintermute Ventures argues that by 2026, crypto will mature into the essential clearing and settlement layer for the internet economy, enabling value to flow as freely as information does today. The report identifies five key themes driving this transformation: 1. **Everything becomes tradable:** Prediction markets, tokenization, and derivatives are creating liquidity for previously illiquid assets and real-world outcomes, enabling new data products and replacing traditional financial infrastructure like insurance. 2. **Stablecoins as a trust layer:** The need for interoperability among the growing number of stablecoins will be met by new infrastructure that handles netting, conversion, and settlement across chains, akin to on-chain correspondent banking. 3. **Tokenomics return to fundamentals:** Markets will increasingly reward sustainable revenue and long-term value over short-term token incentives. Token launches will occur only after proven product-market fit, aligning with traditional cash-flow-based valuation models. 4. **DeFi and TradFi convergence:** The future lies in hybrid models where user-friendly fintech front-ends leverage the capital efficiency and yield of DeFi infrastructure in the background, abstracting away complexity for the end-user. 5. **Privacy as a regulatory catalyst:** Privacy technologies like zero-knowledge proofs will transition from a compliance burden to a regulatory enabler, allowing institutions to prove compliance without exposing sensitive data and unlocking new financial products. Underpinning these themes is regulatory clarity, which is shifting from a barrier to a standardized distribution channel, accelerating institutional adoption. This infrastructure maturation will see crypto fade into the background, quietly powering a new global, open financial system.

marsbit02/05 08:41

Wintermute Ventures: By 2026, Crypto Gradually Becomes the Settlement Layer for the Internet Economy

marsbit02/05 08:41

When AI Meets Crypto: 11 Scenarios of Ongoing Technological Convergence

When AI Meets Crypto: 11 Emerging Convergence Scenarios The integration of AI and crypto is reshaping the internet's economic model, offering decentralized, user-owned alternatives to centralized control. Key convergence areas include: 1. Persistent data and interaction context via blockchain, enabling AI to remember user preferences across sessions and platforms. 2. Universal "passports" for AI agents, allowing portable, interoperable identity and payment capabilities. 3. Forward-compatible proof-of-human systems (e.g., Worldcoin) to distinguish humans from AI bots. 4. DePINs (Decentralized Physical Infrastructure Networks) for scalable, resilient AI compute resources. 5. Blockchain-based protocols for AI-to-AI interactions, enabling autonomous transactions and workflows. 6. Synchronization layers for AI-generated applications to maintain compatibility amid rapid software evolution. 7. Micropayments and revenue-sharing models to compensate content creators when AI uses their data. 8. Blockchain IP registries (e.g., Story Protocol) for transparent attribution and licensing in generative AI. 9. Compensating web crawlers via crypto payments, ensuring fair compensation for data usage. 10. Privacy-preserving, personalized advertising using zero-knowledge proofs and micro-incentives. 11. User-owned AI companions hosted on censorship-resistant platforms for controlled, persistent relationships. These innovations aim to create a more open, equitable, and resilient internet by leveraging crypto's decentralized trust and AI's capabilities.

marsbit01/22 00:41

When AI Meets Crypto: 11 Scenarios of Ongoing Technological Convergence

marsbit01/22 00:41

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