# Сопутствующие статьи по теме AI

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

From Macro to Allocation: Key Variables for TradFi × Crypto in 2026

CoinFound's "TradFi x Crypto 2026 Outlook" report identifies key trends shaping the convergence of traditional finance and crypto. It highlights 2025 as an inflection point of integration, with 2026 accelerating into a phase of "programmable finance." The report outlines eight major macro forces, including a crisis of trust in fiat systems driving demand for hard assets like Bitcoin and gold, geopolitical shifts fostering parallel blockchain-based settlement systems, and AI automation creating demand for machine-to-machine payments using stablecoins. Additionally, energy scarcity is turning mining firms into critical infrastructure, while Real-World Assets (RWA) are evolving from issuance to utility, enhancing liquidity and serving as programmable collateral. Seven key investment trends for 2026 are projected: the RWA market will structurally expand, led by stablecoins and new growth in equities and commodities; stablecoins will compete as global payment infrastructure; tokenized stock liquidity will grow; and private credit RWA will become more transparent and asset-driven due to default risks. Furthermore, gold and commodity RWAs will enable new collateralized finance, RWA liquidity will centralize on major exchanges, and crypto equities (DATs) will see both differentiation and consolidation. The report concludes that 2026 will be defined by secondary market expansion and credit growth, with risks centered on the complexity of managing off-chain defaults triggering on-chain liquidations. The overarching theme is the unification of TradFi and Crypto under "On-chain Finance."

比推01/22 06:08

From Macro to Allocation: Key Variables for TradFi × Crypto in 2026

比推01/22 06:08

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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