# AI Articoli collegati

Il Centro Notizie HTX fornisce gli articoli più recenti e le analisi più approfondite su "AI", coprendo tendenze di mercato, aggiornamenti sui progetti, sviluppi tecnologici e politiche normative nel settore crypto.

AI Ignites Crypto’s Next Supercycle With BTC And ETH In Front, BlackRock Says

BlackRock's Robbie Mitchnick states that AI will be a more significant long-term driver for crypto than the creation of new tokens. He emphasizes that institutional investors are narrowing their focus to Bitcoin and Ethereum, dismissing most other tokens as lacking lasting value. According to Mitchnick, Bitcoin serves as a savings-style hedge, while Ethereum acts as productive infrastructure for on-chain activities. He highlights a natural alignment between “computer-native money” (crypto) and “computer-native intelligence” (AI), suggesting that autonomous agents are unlikely to use traditional financial systems like Fedwire or SWIFT. Instead, AI will require crypto-based infrastructure for real-world applications. This shift is already underway, with Bitcoin miners diversifying into AI compute services. The long-term outlook favors core crypto assets integrated with AI, rather than speculative altcoins.

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AI Ignites Crypto’s Next Supercycle With BTC And ETH In Front, BlackRock Says

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CFTC Chair Announces New Task Force Focused On Crypto, Prediction Markets, And AI

CFTC Chairman Michael Selig announced the launch of an Innovation Task Force to provide clearer regulatory guidance for crypto, blockchain, and AI products in US derivatives markets. The task force will collaborate with the SEC and other federal bodies to develop rules for crypto assets, AI, and prediction markets. Selig emphasized the need to foster responsible innovation and prevent regulatory ambiguity from driving firms offshore. This follows recent joint CFTC-SEC efforts to classify crypto assets, introducing a structured taxonomy and clarifying that a token’s regulatory status can change over time based on its use and economic characteristics. The guidance aims to resolve long-standing uncertainty and provide a clearer compliance framework.

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CFTC Chair Announces New Task Force Focused On Crypto, Prediction Markets, And AI

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Those Who Can't Buy Anthropic Are Driving Its Shadow Stock to 16 Times Its Value

A new closed-end fund, VCX, listed on the NYSE, saw its share price surge to 16 times its net asset value due to high demand for exposure to Anthropic, which holds a 21% stake in the fund. Anthropic, recently valued at $380 billion in a private funding round, is not publicly traded, making VCX one of the few ways for retail investors to gain indirect access. The fund's limited liquidity, with most shares locked until September, amplified buying pressure. Similar funds without significant Anthropic or OpenAI stakes performed poorly, highlighting that the frenzy is specifically tied to AI-related FOMO. However, the premium is considered temporary, as it may vanish once Anthropic and other held companies like SpaceX go public, expected in 2026-2027. The phenomenon reflects broader investor anxiety about missing out on transformative AI companies that are reshaping industries while remaining private longer.

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Those Who Can't Buy Anthropic Are Driving Its Shadow Stock to 16 Times Its Value

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The Safest Middleman in the Chip Industry Is Taking the Most Dangerous Path

Arm, the semiconductor IP licensing giant, is embarking on a high-risk strategic shift by developing its own data center CPU, the Neoverse V3-based AGI CPU. This move, its first in-house chip in 35 years, aims to catapult the company's annual revenue from $4 billion to a targeted $15 billion for its chip business by 2031. This ambitious goal requires creating a new business line nearly the size of Intel's entire data center division. The core driver is the threat from its largest customers. Major cloud providers like AWS, Google, and Microsoft are increasingly designing and deploying their own powerful Arm-based server chips (Graviton, Axion, Cobalt), capturing the chip profits while Arm earns only licensing fees and royalties. This trend places a visible ceiling on Arm's traditional revenue growth from the data center sector. By building its own chip, Arm is now competing directly with its own licensees. While its first customer, Meta, lacks a mature in-house chip program, the strategy risks alienating key partners like Amazon and Google. Arm's bet is that the explosive growth of AI-driven data center demand, particularly for CPU-based AI inference tasks, is large enough to support both its new chip business and its ongoing IP licensing model. The success of this unprecedented dual-role strategy hinges on navigating this inherent conflict.

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The Safest Middleman in the Chip Industry Is Taking the Most Dangerous Path

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a16z: Without Relying on Interest Spreads or Burning Cash, How Does Revolut Become Europe's Most Profitable Neobank?

Revolut has emerged as Europe's most profitable neobank, achieving exceptional growth and efficiency without relying heavily on net interest income. In 2025, Revolut reported £4.5 billion in revenue (46% growth) and £1.7 billion in pre-tax profit (57% growth), with a remarkable 38% profit margin. Its user base grew by 30% to 68 million, while maintaining a diversified revenue stream across six business lines, none exceeding 22% of total income. Key to its success is a fee-based model (76% of revenue), contrasting traditional banks that depend on interest income. Revolut’s rule of 75% (revenue growth + profit margin) and 35% ROE far exceed industry averages. The company’s growth is driven by rapid customer acquisition, high user satisfaction (NPS double the industry average), and efficient operations enhanced by AI. With significant room to expand both its user base and average revenue per user (ARPU), particularly through primary account adoption and lending, Revolut is positioned to become a global banking leader. It has applied for a U.S. bank charter, underscoring its ambitious growth trajectory beyond Europe.

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a16z: Without Relying on Interest Spreads or Burning Cash, How Does Revolut Become Europe's Most Profitable Neobank?

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Why analysts believe Bittensor’s ‘income desert’ could trigger TAO rerating

Pine Analytics warns that Bittensor's native token TAO, despite recent significant price appreciation, faces a fundamental risk due to its economic model. The analysis indicates that many of Bittensor's AI subnets, like the top subnet Chutes (SN64), are heavily subsidized by token emissions rather than genuine user demand. Without these subsidies, their services would be 1.6-3.5x more expensive than centralized competitors, completely inverting their cost advantage. The report projects that when emissions halve (estimated late 2026 or 2027), the network will face a critical challenge: either prices for AI services must double, miners will leave due to lower rewards, or the gap between subsidy and actual revenue will widen. This "income desert" scenario, with no verifiable demand data available, could trigger a major reassessment (rerating) of TAO's value as users seek cheaper alternatives and participants exit the network. Despite this bearish fundamental outlook, TAO's market sentiment had recovered to neutral at the time of writing following a substantial short-term price increase.

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Why analysts believe Bittensor’s ‘income desert’ could trigger TAO rerating

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Arm Steps Into Chip Manufacturing Itself | Rewire Morning News

Arm, after 35 years of only licensing its architecture, has begun manufacturing its own data center CPU, the 136-core Neoverse V3, with Meta as its first major client. This strategic shift aims to capture a larger market share and achieve significant revenue growth. In a separate legal battle, Anthropic is challenging the Pentagon's decision to ban federal agencies from using its AI, a move the presiding judge called "disturbing." Conversely, Palantir's military AI platform received a massive $13.4 billion funding commitment from the Pentagon, highlighting a stark divergence in the U.S. government's approach to AI militarization. Four tech billionaires presented conflicting visions on AI's impact. Perplexity's CEO and Palantir's CEO suggested AI-induced job loss is beneficial, while an OpenAI investor predicted 80% of jobs could be replaced by 2030. In contrast, BlackRock's CEO warned the greater threat is AI exacerbating wealth concentration. Circle's stock plummeted 18% due to proposed legislation threatening its business model, while Tether announced its first full audit by a Big Four firm, signaling a push for legitimacy amidst tightening regulations. OpenAI shut down its Sora video app, leading Disney to withdraw a $1 billion investment. An investor filing also revealed OpenAI now lists its major shareholder, Microsoft, as a top risk factor, indicating a strategic cleanup ahead of a potential IPO. Other notable news includes SK Hynix's record $8 billion order for EUV machines from ASML, Huawei's launch of a new AI accelerator, and Broadcom's warning that TSMC's production capacity is a major bottleneck for AI chips.

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Arm Steps Into Chip Manufacturing Itself | Rewire Morning News

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TRON expands AI Fund to $1 billion – Decoding TRX’s 2026 roadmap

TRON has achieved a significant milestone with its stablecoin supply reaching $86 billion, underscoring its strong on-chain liquidity. The network recorded 894 million transactions in Q1, only a slight decrease from the previous quarter. TRX is set to finish March with over 10% gains, significantly outperforming many top altcoins. This growth aligns with increasing social interest in AI agents and strategic moves by TRON, including the expansion of its AI Fund from $100 million to $1 billion to support early-stage AI infrastructure projects. Additionally, the network’s treasury has grown to 688 million TRX. These developments position TRON to capitalize on the growing AI narrative, leveraging its robust infrastructure and liquidity to drive sustained, AI-powered on-chain activity.

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TRON expands AI Fund to $1 billion – Decoding TRX’s 2026 roadmap

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Token Is Completely on Fire, Blockchain Is Heartbroken

Token, a term once central to blockchain's vision of decentralization and economic transformation, has now been popularized by the AI industry as a unit of computation and billing. With the rise of products like OpenAI's ChatGPT and Deepseek, Token has become widely recognized as a measure of API calls and computational power—essentially a "currency for compute." This shift has left the blockchain sector in an ironic position: while it long struggled to explain Token's potential for revolutionizing ownership and community governance, AI has repurposed the term into a practical, everyday concept devoid of cryptographic complexity. The blockchain community once championed "Tokenization of Everything," aiming to convert real-world assets and labor into tradable tokens. Instead, AI achieved a form of tokenization by breaking down text, audio, and video into Tokens for processing—without requiring users to manage private keys or understand consensus mechanisms. This practical adoption contrasts sharply with blockchain’s association with speculation and scandals, as seen in the rise and fall of NFTs and memecoins. Amid a broader crisis of faith in blockchain’s promise—with many innovators expressing disillusionment over the industry’s shift toward speculation—AI’s rapid growth has intensified this sense of irrelevance. However, there are positive signs: traditional assets like U.S. Treasuries and stocks are increasingly being tokenized, attracting major financial institutions like BlackRock and Fidelity. This may signal Token’s return to its original purpose as a vehicle of value, even as AI dominates its popular meaning.

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Token Is Completely on Fire, Blockchain Is Heartbroken

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TRON Expands AI Fund to $1B, Targeting Core Infrastructure for Agentic Economy

TRON has significantly expanded its AI Fund from $100 million to $1 billion, marking a major strategic move toward building core infrastructure for the emerging agentic economy. The fund will focus on investing in early-stage companies developing foundational components such as agent identity systems, stablecoin payment rails, tokenized real-world assets, and developer tools for autonomous financial systems. TRON’s thesis is that AI agents will require programmable, permissionless blockchain infrastructure to transact and manage assets without traditional intermediaries. The expansion reinforces TRON’s commitment to the convergence of AI and blockchain, leveraging its existing scale, including over 370 million user accounts and $21 billion in daily transaction volume. Meanwhile, TRX is trading around $0.30–$0.31, testing key resistance after a period of correction, with a break above $0.32 needed to confirm a bullish trend reversal.

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TRON Expands AI Fund to $1B, Targeting Core Infrastructure for Agentic Economy

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