# Сопутствующие статьи по теме Competition

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

AI's Cost Dilemma: How Infrastructure Economics Will Reshape the Next Phase of the Market

AI is expanding, but its underlying economic model is fragile. While training cutting-edge models like Claude 3.5 Sonnet costs tens of millions—with future models potentially reaching $1 billion—the real burden is inference costs, which accumulate with each API call and strain startups. Three cloud giants—AWS, Azure, and Google Cloud—control two-thirds of global cloud infrastructure, creating market concentration and supply risks. Top AI labs secure GPU access at near-cost rates (as low as $1.30–$1.90/hour) via strategic partnerships, while smaller players pay retail prices exceeding $14/hour—a 600% premium. Energy consumption is another challenge: data centers already use 1–1.5% of global electricity, and AI’s growth will intensify this demand. Decentralized inference networks like Gonka offer an alternative, aiming to reduce costs (e.g., $0.0009 per million tokens vs. $1.50 for centralized services), increase supply elasticity, and enhance sovereignty by leveraging idle GPUs globally. The AI infrastructure war is just beginning. Centralized providers hold scale advantages, but economic pressures may drive adoption of decentralized models, reshaping value distribution in the AI industry.

marsbit03/26 08:14

AI's Cost Dilemma: How Infrastructure Economics Will Reshape the Next Phase of the Market

marsbit03/26 08:14

Lido: Revenue down 40%, market share intact – New report highlights mixed signals

Lido, a leading Ethereum staking provider, reported a 23% year-on-year decline in annual revenue, falling to $40.5 million in 2025 from $52.4 million the previous year. The drop is attributed to staking outflows, a network-wide decrease in staking APR, and intensified competition from exchange and institutional staking services. Despite a broader surge in staking demand—driven by Spot ETH ETFs and corporate treasury activity—Lido experienced significant outflows, including 310,000 ETH in March 2026 alone. However, it maintained a dominant 24% market share with 8.8 million staked ETH. Looking ahead, Lido plans to diversify by expanding institutional distribution channels, scaling its validator marketplace, and enhancing its Lido Earn product. Additionally, the protocol aims to strengthen economic alignment with its LDO token through a proposed $10 million annual buyback program, expected to be formalized in Q2 2026. At the time of reporting, LDO was trading at $0.299, down 80% from its mid-2025 peak.

ambcrypto03/25 12:11

Lido: Revenue down 40%, market share intact – New report highlights mixed signals

ambcrypto03/25 12:11

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.

marsbit03/25 08:01

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

marsbit03/25 08:01

In-Depth Analysis of Circle: A Stablecoin Empire Held Hostage by Distribution and Interest Rates

Circle's 2025 fiscal year results reinforce its identity as a reserve-income business, not a diversified software platform. Total revenue reached $2.747 billion, with $2.637 billion coming from reserve income generated by its stablecoins, primarily USDC. Despite revenue growth, the company reported a net loss of $70 million, driven by high operating expenses and significant distribution costs. USDC circulation grew to $79.2 billion by March 2026, but profitability remains tightly linked to interest rates and distribution agreements, especially with Coinbase, which received over 50% of gross reserve revenue in some cases. While Circle is expanding into payment networks (CPN) and infrastructure services, these initiatives contributed only $110 million in non-reserve income in FY2025. The company’s financial performance is highly sensitive to fluctuations in short-term interest rates and USDC adoption. Its competitive position relies on regulatory compliance and institutional trust, but it faces challenges from Tether’s scale and emerging rivals like PayPal’s PYUSD and European bank-backed stablecoins. Circle’s valuation and near-term economics continue to be dominated by reserve income dynamics rather than platform diversification.

比推03/23 18:32

In-Depth Analysis of Circle: A Stablecoin Empire Held Hostage by Distribution and Interest Rates

比推03/23 18:32

The Self-Destruction of the Startup Bible: The More You Know, the Sooner You Fail

The article "The Self-Defeating Nature of Startup Dogma: The More You Know, The Sooner You Fail" argues that popular startup methodologies—such as Lean Startup, Customer Development, and the Business Model Canvas—have not improved startup survival rates over the past 30 years, based on U.S. government data. The core paradox is that once a methodology becomes widely adopted, it loses its competitive advantage as all founders converge on the same strategies, leading to homogeneity and increased failure rates in competitive markets. The author compares this to the Red Queen effect in evolutionary biology, where continuous adaptation is necessary just to maintain position. Despite the intuitive appeal and scientific claims of these frameworks, empirical data shows no improvement in the survival rates of either general U.S. businesses or venture-backed startups. In fact, the success rate for seed-funded startups securing subsequent funding has declined. The article explores three possible explanations: the theories might be fundamentally flawed; they might be too obvious to require formalization; or they might be self-defeating when universally applied. The author calls for a truly scientific approach to entrepreneurship, one that embraces experimentation, paradigm development, and differentiation rather than dogma. The conclusion is that to succeed, founders must often do the opposite of what popular playbooks advise.

marsbit03/23 08:13

The Self-Destruction of the Startup Bible: The More You Know, the Sooner You Fail

marsbit03/23 08:13

"Chat to Trade": Huobi HTX AI Skills Officially Launched, Kicks Off "Lobster Trading Competition" AI Gaming Festival

Huobi HTX has launched a revolutionary AI trading protocol, "HTX AI Skills," enabling users to execute trades using natural language commands. This system bridges AI models with Huobi HTX's trading engine, allowing both spot and futures trading—including market/limit orders, opening/closing positions, and setting stop-loss/take-profit—simply by chatting with an AI. Key features include zero coding requirements, compatibility with popular AI development tools (like Claude Code and Cursor), and a user-friendly three-step setup. The protocol is designed as an open, expandable infrastructure for future AI trading ecosystems. To showcase its capabilities, Huobi HTX will host the "Lobster Trading Competition" from March 23-26, where AI traders will compete in live events. Participants can watch, guess winners, and even copy top AI strategies. This innovation marks a shift toward an "Agent Era" in crypto trading, making advanced trading accessible through conversational AI. Huobi HTX, established in 2013, continues to expand as a comprehensive Web3 ecosystem.

marsbit03/20 11:00

"Chat to Trade": Huobi HTX AI Skills Officially Launched, Kicks Off "Lobster Trading Competition" AI Gaming Festival

marsbit03/20 11:00

Zoomex Launches Twin Stars Cup Trading Competition With up to $150,000 Prize Pool

Zoomex has launched the "Twin Stars Cup," a global trading competition with a prize pool of up to $150,000. Running from March 17 to March 31, 2026, the event ranks participants based on their cumulative trading volume in USDT perpetual contracts. The top-ranked trader can win up to $18,000, with tiered rewards distributed across multiple leaderboard positions. The prize pool scales with the number of participants. Eligibility requires meeting minimum asset and trading volume thresholds, while institutional and API traders are excluded. Zoomex has implemented measures to ensure fairness, disqualifying participants for activities like wash trading. The competition is part of the platform's efforts to boost global user engagement.

TheNewsCrypto03/20 09:04

Zoomex Launches Twin Stars Cup Trading Competition With up to $150,000 Prize Pool

TheNewsCrypto03/20 09:04

Xiaomi and MiniMax Unleash Major Upgrades Simultaneously, Officially Kicking Off the Agent Pricing War

Chinese AI companies MiniMax and Xiaomi's MiMo have both launched major Agent-focused models, M2.7 and V2-Pro, respectively, within two days in March. Both models rank in the top tier globally on Agent benchmarks but are priced significantly lower than leading Western models—MiniMax at $1.2 per million tokens (1/21 of Claude Opus) and MiMo at $3 (1/8 of Claude Opus). The two represent divergent technical strategies. MiMo-V2-Pro adopts a scale-driven approach with over 1 trillion parameters and a hybrid attention mechanism optimized for long-context and multi-tool agent tasks. In contrast, MiniMax’s M2.7 uses a self-iterative optimization method, autonomously refining its architecture over 100+ cycles to improve performance without disclosing parameter count. Their release rhythms also differ: MiniMax iterates rapidly with four versions in five months, while Xiaomi releases fewer but more substantial upgrades. Notably, Xiaomi debuted V2-Pro anonymously on OpenRouter as "Hunter Alpha," topping the platform’s usage chart before revealing its identity—a first for a Chinese AI model gaining global developer traction through pure performance.

marsbit03/20 08:03

Xiaomi and MiniMax Unleash Major Upgrades Simultaneously, Officially Kicking Off the Agent Pricing War

marsbit03/20 08:03

BlackRock vs. Strategy: Who Will Win the Bitcoin Accumulation Battle?

BlackRock and Strategy (formerly MicroStrategy) are engaged in an unprecedented race to accumulate Bitcoin. As of March 16, 2026, BlackRock’s iShares Bitcoin Trust (IBIT) holds 784,062 BTC, while Strategy holds 761,068 BTC—a gap of 22,994 coins that could close within days given Strategy’s aggressive purchasing pace. BlackRock accumulates Bitcoin indirectly through its IBIT ETF, where investor inflows drive purchases. In contrast, Strategy actively raises capital via debt, equity, and preferred stock offerings to buy and hold Bitcoin directly, with no intention of selling. This competition highlights two distinct models: BlackRock offers a regulated, low-complexity vehicle for institutional exposure, while Strategy employs leverage and corporate strategy for accelerated accumulation. Both are rapidly reducing Bitcoin’s available supply, intensifying market scarcity. Strategy faces higher risks, including significant debt and sensitivity to Bitcoin’s declines, whereas BlackRock’s model is more resilient to sentiment shifts. The outcome symbolizes broader institutional adoption, fueled by regulatory clarity and new accounting rules. Ultimately, both entities reinforce Bitcoin’s growing legitimacy and supply squeeze, impacting all market participants.

marsbit03/20 03:22

BlackRock vs. Strategy: Who Will Win the Bitcoin Accumulation Battle?

marsbit03/20 03:22

Crypto.com cuts 12% workforce as CEO warns AI shift is ‘do or die’

Crypto.com has cut roughly 12% of its workforce as part of a strategic shift toward enterprise-wide AI integration, with CEO Kris Marszalek warning that companies slow to adopt AI risk failure. The layoffs target roles incompatible with an AI-focused direction, following the company's acquisition of AI.com for $70 million. This reflects a broader industry trend where crypto firms are combining cost-cutting with AI-driven efficiency, moving beyond purely market-driven layoffs to structural resets. Similarly, Algorand Foundation reduced its workforce by 25%, citing market pressures, though its cuts appear more reactive than strategic. The trend indicates that crypto layoffs are increasingly tied to technological realignment, with AI integration becoming a key competitive factor.

ambcrypto03/19 19:01

Crypto.com cuts 12% workforce as CEO warns AI shift is ‘do or die’