# 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.

Cryptocurrencies, Artificial Intelligence, and Online Bookmakers Drive Record $517 Million Corporate Spending on Election Campaigning

Cryptocurrency, AI, and online gambling companies are behind record corporate spending of $517 million on the 2026 U.S. elections, according to Public Citizen. This amount, directed toward congressional races in just 15 months, already exceeds total corporate spending for the entire 2024 cycle. Funds are channeled through Super PACs and affiliated networks, allowing unlimited donations. Key contributors include companies like Coinbase, Ripple, Andreessen Horowitz, and Meta, alongside personal spending from billionaires such as Elon Musk and Sergey Brin. The crypto industry's main Super PAC, Fairshake, with a war chest of $193 million, has shifted strategy to support politicians based on policy stance rather than party, targeting critics like Senator Sherrod Brown, who has since softened his opposition. With an estimated $11.6 billion in total political ad spending expected, corporate cash is a major driver. Fairshake still has $130 million available for the November elections, and Musk plans to spend beyond his current $90 million, signaling that corporate political investment will continue to surge.

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Cryptocurrencies, Artificial Intelligence, and Online Bookmakers Drive Record $517 Million Corporate Spending on Election Campaigning

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Perspective: Value Investing in U.S. Stocks Is Not the Same as Fundamental Investing

The article challenges the notion that value investing in US stocks is equivalent to fundamental investing. It uses the astronomical analogy of Henrietta Leavitt separating a star's apparent brightness from its intrinsic luminosity to illustrate a key investment framework: an observed valuation multiple (like brightness) conflates two things—the actual quality of a business and the premium the market is willing to pay for its future (its "distance" or duration). The author argues that the popular narrative of "fundamentals are dead"—fueled by momentum and concentration in mega-cap tech—is flawed. While recognizing factors like winner-take-all dynamics and AI scale advantages, the piece warns against confusing broad thematic truths (e.g., "AI is big") with justified valuations for specific companies. It introduces a 2x2 matrix categorizing stocks based on whether they *looked* cheap/expensive at a point in time versus whether they *were* actually cheap/expensive in hindsight (e.g., expensive-looking Meta in 2022 was actually cheap). The core formula presented is: Forward Return ≈ Fundamental Growth × Change in Valuation Multiple. Over short periods, multiple changes drive returns, making markets seem narrative-driven. Over the long term, fundamental growth dominates. The article concludes that markets may be becoming *less* efficient due to complex, long-duration business models, narrative cycles, and private market dynamics, creating more opportunities for investors who can disentangle real quality from market sentiment.

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Perspective: Value Investing in U.S. Stocks Is Not the Same as Fundamental Investing

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CFTC Chairman Reveals Plans: The Next Frontier, Crypto, Computing Power Markets, and Prediction Markets

CFTC Chairman Michael S. Selig outlined a regulatory roadmap targeting three new frontiers: crypto assets, AI compute power, and prediction markets. Regarding crypto, while preferring comprehensive legislation like the CLARITY Act, the CFTC is preparing to use its existing authority to potentially designate platforms as regulated "Crypto Asset Markets" if Congress fails to act. For AI, the focus is on developing markets for GPU compute power, treating it as a tradable commodity for price discovery and risk management. For prediction markets, the CFTC is moving beyond the "gambling" debate to propose specific rules for event contracts, focusing on product listing standards, market manipulation prevention, and retail investor protection. The chairman emphasized a consistent philosophy: establishing clear regulatory frameworks is essential for fostering responsible innovation in these emerging financial areas.

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CFTC Chairman Reveals Plans: The Next Frontier, Crypto, Computing Power Markets, and Prediction Markets

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After Two and a Half Years of Entrepreneurship and Full AI Adoption, the Company Has Actually Become More 'Traditional'

"After 2.5 years of running my company, achieving near 100% AI adoption with Agents in roles like finance, HR, and operations, we've paradoxically become more 'traditional.' We learned that establishing a thick AI middle layer creates bottlenecks. Instead, we advocate for a 'thin platform, thick frontline' model, empowering employees closest to problems to use AI tools themselves, fostering ownership and initiative. The true foundation isn't the AI models, but the unique data and context a company accumulates—our most vital, irreplaceable asset, requiring diligent governance. As AI handles repetitive, describable tasks, human roles revert to their core: building genuine relationships, trust, and brand reputation through authentic communication, which AI cannot accelerate. A critical question is where the time saved by AI goes. It must be returned—to clients, to creative work, to employees' own lives—rather than just fueling higher output demands. For managers, AI strips away execution-focused busywork, exposing the necessity to define clear goals, make tough judgments, and take ultimate responsibility. Onboarding newcomers presents a challenge: while AI can generate 80% solutions instantly, we must deliberately design paths for them to develop judgment, understand context, and safely learn from mistakes. Ultimately, AI's organizational value isn't about replacing people but removing unnecessary friction, allowing more meaningful human connection. The real test of an 'AI-era' company isn't its tech stack, but how it treats people: delegating creative power, returning saved time, fostering growth, and upholding accountability. The core luxury and purpose of our work remains authentic human relationships."

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After Two and a Half Years of Entrepreneurship and Full AI Adoption, the Company Has Actually Become More 'Traditional'

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The Impact of Treasury Buybacks Lasts Only 24 Hours? Beston: We Have Many Tools, Just Wait and See

U.S. Treasury Secretary Besant, addressing market concerns on August 20, signaled that the Treasury's toolkit for intervening in the bond market is far from exhausted. This follows the previous day's announcement to double the size of long-term Treasury buyback operations to at least $40 billion per session, a move that only briefly lowered yields before they climbed again. Besant dismissed the short-lived market reaction as "noise," asserting that yields do not reflect underlying economic fundamentals, especially for illiquid 30-year bonds. He revealed that President Trump has tasked him with leading a new fiscal consolidation plan, expected to be announced soon, aimed at addressing high long-term borrowing costs. Concurrently, Besant announced a press conference for the following Monday to detail aggressive U.S. economic actions against Iran, suggesting that maximum economic pressure could reduce the likelihood of large-scale military conflict. On other topics, Besant reiterated a strong dollar policy, expressed confusion over a recent oil price surge (which he expects U.S. actions will curb), and noted that AI investment prospects are making corporations largely insensitive to yield levels when issuing debt, as they anticipate future productivity gains. Market analysts remain skeptical that Treasury operations alone can durably alter the trajectory of long-term yields, which are driven by broader concerns over fiscal deficits, debt supply, and inflation.

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The Impact of Treasury Buybacks Lasts Only 24 Hours? Beston: We Have Many Tools, Just Wait and See

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Winklevoss Urges Investors to Seize Opportunity to Buy Bitcoin on the Dip

Bitcoin is currently trading almost 50% below its October high of $126,198. Tyler Winklevoss suggested that if investors last year knew Bitcoin would reach $120,000, they would rush to buy it at a discount. In a post on X, he stated that AI-powered trading has given the world a "time machine" to go back and invest in Bitcoin at $65,000 levels, calling the current downturn an unprecedented buying opportunity and questioning when Bitcoin will "return to the future." Over the past 24 hours, Bitcoin rose 12% to $71,980, with its market cap at $1.44 trillion. Daily trading volume surged 292% to $66.2 billion. The Winklevoss twins, Cameron and Tyler, famously sued Mark Zuckerberg over Facebook's origins, later settling for $65 million in cash and stock. They invested part of this in Bitcoin in 2012, becoming early crypto billionaires, and founded the Gemini exchange in 2014. Gemini's recent Q2 report showed a weakened crypto market impacted its business: trading revenue fell 38% year-on-year to $12.5 million, and total trading volume dropped from $11.3 billion to $3.8 billion. However, the exchange's total revenue grew 37% to $45.5 million, with service and interest revenue jumping 117% to $26 million. Previously, Cameron Winklevoss urged world governments to buy Bitcoin to build strategic crypto reserves, arguing that rare earth minerals, gold, and oil are no longer sufficient to preserve geopolitical influence.

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Winklevoss Urges Investors to Seize Opportunity to Buy Bitcoin on the Dip

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Bitcoin Miners Invest Billions in AI as Capital Expenditure Outpaces Revenue by 15 to 1

Public Bitcoin miners are investing billions to diversify into artificial intelligence (AI) and high-performance computing (HPC), but their revenues from these new ventures are not keeping pace with the massive capital expenditures. According to BlocksBridge Consulting, a group of 15 mining and AI data center companies spent $30.7 billion on capital assets in recent periods of 2026, a 42.6% increase from 2025. For nine comparable Bitcoin miners specifically, the gap is stark: they spent $5.11 billion on capital assets in the first half of 2026 while generating only $341.2 million in disclosed AI/HPC revenue, a capital-to-revenue ratio of approximately 15 to 1. Despite this initial disparity, AI and HPC revenues are growing rapidly, jumping 52% quarter-over-quarter in Q2 2026 for these nine miners. The transition from Bitcoin mining to AI infrastructure requires significant upfront investment in substations, buildings, cooling systems, networking gear, and in some cases, GPUs, even for miners with advantages like power contracts. The recent recovery in Bitcoin's price, which surged over 13% to surpass $72,000, may provide some relief to companies still holding major mining operations. In a related strategic shift, CoinShares has rebranded its industry-tracking ETF to focus on "companies powering the digital economy," including Bitcoin miners, AI data center operators, and semiconductor makers.

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Bitcoin Miners Invest Billions in AI as Capital Expenditure Outpaces Revenue by 15 to 1

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Bitdeer Inks $400M AI Cloud Deal for Malaysian Site

Bitdeer's AI division, Bitdeer AI, has secured a five-year agreement with an unnamed, high-credit-quality customer, covering approximately 50% of the capacity at its upcoming A102 facility in Malaysia, even before the site is powered. The deal is expected to generate around $400 million in cumulative revenue, with revenue and related expenses starting in Q1 2027 when services commence. By Q1 2028, the company plans to scale its AI cloud computing data center capacity to 350 MW. This move is part of a trend among Bitcoin miners, including Bitdeer, Mara Holdings, TeraWulf, Hut 8, and IREN, to diversify into AI and high-performance computing infrastructure. Following the announcement, Bitdeer's stock rose 7% on Wednesday and gained nearly 6% in pre-market trading on Thursday.

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Bitdeer Inks $400M AI Cloud Deal for Malaysian Site

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Bitdeer signs $400M AI cloud computing deal for Malaysia facility

Bitcoin mining firm Bitdeer's AI division, Bitdeer AI, has secured a five-year deal for about 50% of the capacity at its upcoming A102 Malaysia facility. Signed with an undisclosed "high credit quality" customer, the agreement is projected to generate approximately $400 million in total revenue, starting in Q1 2027. This is part of Bitdeer's expansion into AI cloud infrastructure, with a target of 350 megawatts of AI data center capacity by Q1 2028. The company, following other Bitcoin miners diversifying into AI, recently signed a major lease in Norway. Bitdeer's stock rose following the announcement.

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Bitdeer signs $400M AI cloud computing deal for Malaysia facility

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Cryptocurrency and AI companies become the largest sponsors of US congressional elections

Cryptocurrency and artificial intelligence companies have emerged as the largest corporate sponsors of the 2026 US congressional elections, according to a Reuters report citing data from Public Citizen. The crypto, tech, and online betting industries have contributed at least $294 million to the midterm elections so far. Overall, US corporations have spent $517 million on House and Senate races in the 15 months leading up to the end of the first quarter, surpassing the previous record of $461 million set during the entire two-year 2024 election cycle. Major spending is expected ahead of the November 3 vote, with companies like Meta and Andreessen Horowitz directing significant funds through political committees, including those focused on crypto and AI issues. Analysts from AdImpact estimate total political advertising spending for this election cycle could reach $11.6 billion, exceeding the $11.2 billion spent in the 2023-2024 cycle.

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Cryptocurrency and AI companies become the largest sponsors of US congressional elections

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