# Сопутствующие статьи по теме Disruption

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

Dialogue with a16z Co-founder: The Physical Laws of the Old World Are Dead, Crypto Becomes Key Infrastructure for AI

At a16z Fintech Connect, Ben Horowitz discusses how AI revolution is fundamentally rewriting the rules of software competition. He argues that traditional moats like data lock-in and UI familiarity are vanishing, as AI can easily replicate code, transfer data, and interact flexibly with software. CEOs of legacy companies must recognize these shifts and pivot towards delivering unique value beyond outdated advantages. Horowitz highlights that while some businesses face obsolescence, others with complex, entrenched operational networks (like travel platforms) may retain relevance. The conversation also covers critical infrastructure bottlenecks in the AI boom—from GPU shortages and power constraints to supply chain issues—emphasizing the need for massive investment in physical and digital infrastructure. Horowitz strongly links AI and blockchain, arguing that crypto is essential for solving AI-generated problems: identity verification, content authenticity, fraud prevention, universal basic income distribution, and enabling AI economic agency. Looking ahead, he speculates on VC’s evolving role—whether it scales up alongside mega-companies or adapts to a decentralized compute landscape—and strikes an optimistic note on AI’s long-term impact, foreseeing unprecedented improvements in global living standards despite transitional disruption.

marsbit6 ч. назад

Dialogue with a16z Co-founder: The Physical Laws of the Old World Are Dead, Crypto Becomes Key Infrastructure for AI

marsbit6 ч. назад

Silicon Valley Startup Guru Steve Blank: In the AI Era, Companies Over Two Years Old Should Start Over

Silicon Valley entrepreneur Steve Blank argues that startups founded over two years ago are likely operating with outdated business plans due to rapid AI-driven changes. He emphasizes that AI is reshaping development speed, team structures, pricing models, and competitive moats. Startups must reassess their strategies, as AI tools enable faster MVP development, shift bottlenecks from engineering to judgment and distribution, and transform software from user interfaces to outcome-driven agents. Hardware startups are also affected, with AI accelerating design testing and integration. Blank warns against sunk cost mentalities and urges founders to pivot using current tools and market realities to survive. Key shifts include moving from product-market fit to AI agent-customer outcome fit and embracing parallel development over traditional agile methods.

marsbit12 ч. назад

Silicon Valley Startup Guru Steve Blank: In the AI Era, Companies Over Two Years Old Should Start Over

marsbit12 ч. назад

Large Models Devour Word

On April 10, 2026, Anthropic integrated Claude into Microsoft Word, completing its integration into the core Office suite (Word, Excel, PowerPoint). This allows Claude to operate directly within Word’s interface, offering features like contract review with tracked changes—red for deletions, green for insertions—without altering user habits. Microsoft’s strategy is to prioritize interface ownership over model ownership, believing distribution channels matter more as AI models commoditize. By hosting Claude via Azure, Microsoft retains users rather than risk losing them to external platforms. The integration has disrupted legal tech firms; companies like Thomson Reuters and RELX saw significant stock drops, as Claude offers advanced legal review at a fraction of the cost. While some legal tech firms resist, others, like LexisNexis, have incorporated Claude into their offerings. Anthropic’s approach represents a new form of disruption: rather than building a competing platform, it embeds itself inside dominant software, offering superior functionality at lower cost. This forces incumbents into a dilemma—blocking better tools may drive users away, while allowing them cultivates internal competitors.

marsbit2 дня назад 05:41

marsbit2 дня назад 05:41

The $59 Billion Illusion: How the Female Version of Buffett Fell from Grace?

"Cathie Wood, once hailed as the 'next Warren Buffett' and a star among millennial investors, saw her flagship ARKK ETF soar to a peak of $59 billion in assets under management (AUM) by February 2021. Her strategy of betting on disruptive technologies like Tesla, genomics, and AI—while publicly sharing her research and daily trades—initially delivered staggering returns, with ARKK surging 152% in 2020 as she doubled down during the COVID crash. However, rising interest rates exposed the fragility of her high-growth, unprofitable tech holdings. ARKK plummeted nearly 75% from its peak, erasing over $50 billion in AUM by 2026. Critics labeled her approach—essentially applying venture capital (VC) logic to public markets—as fundamentally flawed. Unlike VC, where losses are absorbed by private gains, public markets impose real-time pricing and liquidity pressures, accelerating losses during downturns. Ironically, while Wood correctly predicted the AI revolution, she sold NVIDIA early—missing out on over $1.2 billion in gains—to maintain her "anti-consensus" brand and focus on smaller, speculative names. Her daily transparency and massive scale turned her into a target, as markets anticipated her moves. Despite recent pivots back into gene editing and AI infrastructure, her assets remain a fraction of their peak, underscoring the gap between predicting trends and profiting from them."

marsbit04/02 04:13

The $59 Billion Illusion: How the Female Version of Buffett Fell from Grace?

marsbit04/02 04:13

AI Agents Are About to Take Market Share from Visa

Artificial intelligence agents are poised to disrupt Visa's business model by bypassing the traditional credit card interchange fee structure. Unlike humans, AI agents are purely rational: they don't accumulate rewards, seek fraud protection, or desire premium cards. Their sole objective is to complete transactions at the lowest cost, fastest speed, and with minimal fees. This shift threatens the 2-3% interchange fees that underpin Visa’s $500 billion valuation, as these fees essentially tax human irrationality—something agents lack. Recent developments, such as the launch of Tempo (a high-volume stablecoin settlement blockchain), the Machine Payment Protocol (enabling autonomous micro-payments), and Visa’s own command-line payment tool for AI, indicate a rapid move toward agent-driven commerce. While current transaction volumes remain small, infrastructure is being built to support machine-to-machine payments that avoid card networks. Major players like Stripe, Mastercard, and Circle are investing heavily in this space. Visa network’s distribution advantage relies on human behavior—consumer trust and merchant acceptance—a cycle that doesn’t apply to agents. They optimize for efficiency, not brand loyalty. Although widespread consumer adoption is still emerging, the infrastructure for agent-commerce is advancing quickly, starting with micro-payments for AI services. The fundamental challenge is that interchange fees are a tax on human psychology, and agents are purely rational actors.

marsbit03/31 11:14

AI Agents Are About to Take Market Share from Visa

marsbit03/31 11:14

Zhang Xue Arrived 20 Years Early. How Early Did Saylor and Tom Lee Arrive?

Zhang Xue arrived 20 years early. How early did Saylor and Tom Lee arrive? The article draws a parallel between Zhang Xue, founder of Zhang Xue Motorcycles, and crypto investors Michael Saylor and Tom Lee. Despite having only a middle school education, Zhang built a motorcycle company that, while still unprofitable, recently defeated established giants like Ducati in the World Superbike Championship, selling high-performance bikes at half the price of competitors. Similarly, Saylor’s MicroStrategy continues to accumulate Bitcoin at a loss, now holding 738,000 BTC. Tom Lee’s BitMine is also aggressively buying Ethereum, holding 4.4 million ETH despite significant paper losses. The core similarity is their strategy: accumulating valuable assets at a cost, perceived as madness by others, in anticipation of future validation. For Zhang, proof came swiftly on the racetrack within two years. For Saylor and Lee, the ultimate validation of their crypto bets is still pending, awaiting the test of time. The piece concludes that most contrarian bets fail, but a rare few succeed because they were simply early. The question remains: how early are Saylor and Lee?

marsbit03/31 07:43

A Company 'Destined to Be Killed' – How Did Its Returns Outperform Solana, the S&P, and Nasdaq?

The article argues that the biggest beneficiaries of stablecoin technology are not the startups building it, but established companies with existing distribution channels. The author uses Western Union (WU) as a prime example. Initially believing stablecoins would disrupt WU's business, the author instead found a valuable, cash-generating company whose stock was priced for imminent failure (trading at a P/E of 3-6x). The market had given WU zero credit for its powerful, trusted brand and massive global distribution network. The core "Inversion" thesis is that the market structurally overvalues tech innovators and undervalues old-economy companies, pricing their potential adoption of new technology at zero. This creates a significant margin of safety and asymmetric upside. The author's bet on WU over Solana paid off, as WU's management began embracing stablecoins, launching USDPT on Solana to reduce costs. The author contends that mature companies with distribution are best positioned to capture the efficiency gains from technologies like stablecoins and AI, leveraging their existing customer trust and reach to expand margins while startups commoditize the infrastructure.

marsbit03/30 04:36

A Company 'Destined to Be Killed' – How Did Its Returns Outperform Solana, the S&P, and Nasdaq?

marsbit03/30 04:36

People Laid Off by AI Won't Disappear; They Will Become the Creators of the Next Economy

The article argues that the real question surrounding AI is not whether it will cause unemployment, but what happens to the people displaced. AI is replacing not humans, but the standardized, replicable, and automatable parts of human work. This follows historical patterns where technological revolutions, from stone tools to computers, made old skills obsolete and dissolved old structures—but humanity adapted and reorganized. The author draws a parallel to China’s large-scale layoffs during state-owned enterprise reforms 30 years ago, which initially seemed catastrophic but eventually fueled the growth of a new private economy, new companies, and new types of jobs. Engineers, though among the first impacted, are also positioned to recover fastest. Their systemic understanding and proximity to new productive forces make them ideal candidates to adapt and create in the new economy. More importantly, AI is reshaping companies themselves—reducing organizational bloat, communication costs, and bureaucracy. This enables smaller, more agile teams and empowers strong creators who may have previously struggled with management rather than innovation. The core issue is not job loss, but self-definition: will individuals wait to be reassigned by the old system, or use new tools to reorganize production? AI accelerates differentiation—eliminating some jobs, shattering illusions for some, and offering others a chance to leap forward. The author’s view is that AI is dismantling an entire generation’s belief in stable career paths. Those laid off won’t vanish; instead, many will reinvent themselves—transitioning from employees in old systems to creators of the next economy. Every productivity revolution淘汰 (eliminates) not people, but those who refuse to rewrite themselves. The first to accept this and start building the new world will succeed.

marsbit03/23 10:31

People Laid Off by AI Won't Disappear; They Will Become the Creators of the Next Economy

marsbit03/23 10:31

Visa Spent $1.8 Billion Just to Avoid Being Left Behind by AI

Visa's $1.8 billion acquisition of stablecoin infrastructure firm BVNK is a defensive move against the rise of AI agents disrupting its core business model. Visa’s empire is built on interchange fees (2-3% per transaction), which fund rewards, fraud protection, and status-driven perks that appeal to human psychology. However, AI agents are purely rational: they seek the cheapest, fastest payment path, avoid fees, and have no use for rewards or brand loyalty. A recent report warning that AI agents could bypass traditional card networks by 2027 using stablecoins and decentralized payment protocols (like x402 and Tempo) caused significant stock drops for Visa, Mastercard, and Amex. While current transaction volumes on new infrastructures remain small, projects like Visa CLI, Circle’s Nanopayments, and Stripe’s blockchain initiatives are laying the groundwork for machine-to-machine commerce. Visa isn’t idle—it’s participating in new protocols and launching crypto tools—but its historical advantage (consumer trust and merchant acceptance) relies on human behavior. In an AI-driven economy, that advantage vanishes. The disruption begins with micro-payments for API calls and AI services, but may eventually extend to consumer spending. Visa’s massive investment signals it knows the threat is real.

比推03/20 17:55

Visa Spent $1.8 Billion Just to Avoid Being Left Behind by AI

比推03/20 17:55

‘Adapt or die’- SEC approves Nasdaq plan to trade tokenized securities

The SEC has approved Nasdaq's pilot program to trade tokenized securities, allowing the exchange to test blockchain-based versions of stocks and ETFs on a unified platform. The program will initially include high-volume assets like those in the Russell 1000 Index and major ETFs. Unlike many existing tokenized products, Nasdaq’s tokens will grant holders the same legal rights as traditional shareholders, including the same CUSIP numbers and trading symbols. This move is seen as a major disruptive force in asset management, with experts comparing its potential impact to that of ETFs on mutual funds. The approval accelerates Nasdaq’s partnership with Kraken and aims to enable 24/7 trading and attract offshore investors. The tokenized securities market has already surpassed $1 billion, with significant growth in early 2026.

ambcrypto03/19 14:09

‘Adapt or die’- SEC approves Nasdaq plan to trade tokenized securities