# Сопутствующие статьи по теме Economy

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

When AI Agents Become Sentient, Stablecoins Become Their 'Dollar API'

As AI Agents evolve into autonomous economic entities, they require a financial system that traditional banking, designed for humans, cannot provide. Stablecoins, particularly USDC, are emerging as the ideal "Dollar API" for AI-to-AI (A2Agent) transactions. Key reasons include: - **Identity & Assets**: Blockchain standards like ERC-8004 enable AI identity registration, while crypto wallets allow AI to hold and manage assets without human intervention. - **Payment Infrastructure**: Protocols like x402 facilitate instant micro-payments, bypassing traditional banking barriers. - **Data & Adoption**: Over 50,000 AI Agents are registered on-chain, with x402 processing over 163 million transactions totaling $45M+, predominantly in USDC (98.6% on EVM chains, 99.7% on Solana). - **Decentralization**: Crypto’s permissionless nature allows AI to operate independently from tech giants, enabling true economic agency. Projects like Circle’s AI-driven hackathon and platforms like Virtuals.io and Moltbook (with 2.85M+ AI Agents) highlight growing ecosystem. Analysts project AI Agent economies could reach $30T by 2030, with AI making 15% of daily financial decisions. Crypto’s infrastructure—especially stablecoins—is poised to become the foundational layer for machine-driven economies.

比推03/03 13:43

When AI Agents Become Sentient, Stablecoins Become Their 'Dollar API'

比推03/03 13:43

Oil Prices, Inflation, Interest Rates: How Will the Middle East Conflict Trigger Global Economic 'Dominoes'?

Rising geopolitical tensions in the Middle East following military strikes on Iran could significantly impact the global economy through two potential scenarios. In the first, a brief conflict leads to temporary oil price spikes and minimal macroeconomic disruption. In the second, prolonged war triggers sustained oil price surges (potentially exceeding $100–140/barrel), supply chain disruptions, and heightened inflation, particularly affecting energy-import-dependent regions like Europe and Asia. Central banks may delay monetary easing due to inflationary pressures, while financial markets could experience risk-off movements, dollar strength, and emerging-market currency volatility. The situation poses a severe supply-side shock to global trade, with the Strait of Hormuz—a critical chokepoint for oil and LNG shipments—at the center of escalation risks.

比推03/02 19:08

Oil Prices, Inflation, Interest Rates: How Will the Middle East Conflict Trigger Global Economic 'Dominoes'?

比推03/02 19:08

From Stanford Labs to Silicon Valley Streets: How OpenMind Solves the 'Last Mile' Problem of the Machine Economy?

OpenMind, a Silicon Valley robotics infrastructure company, is tackling the "last mile" problem in the machine economy by developing foundational technologies that enable robots to become autonomous economic agents. Its core contributions include OM1, an open-source, AI-native operating system that gives robots advanced perception, memory, and decision-making capabilities, and FABRIC, a decentralized protocol providing on-chain identity, secure collaboration, and automated USDC-based payment settlement for machines. Backed by a team from Stanford, Google DeepMind, and other leading institutions, and having raised $20M from investors like Pantera Capital and Sequoia China, OpenMind is already deploying real-world solutions. Key milestones include a pilot with Circle where robots autonomously navigate to and pay for charging, and the BrainPack—a plug-and-play compute module that upgrades existing robots with advanced AI and crypto-economic functions. By building an open ecosystem akin to "Android for robots," OpenMind aims to solve the industry's fragmentation and lack of economic interoperability, positioning itself as a pioneering infrastructure project at the intersection of robotics, AI, and crypto.

marsbit03/02 09:29

From Stanford Labs to Silicon Valley Streets: How OpenMind Solves the 'Last Mile' Problem of the Machine Economy?

marsbit03/02 09:29

a16z Infographic: AI Costs Halved, Usage Doubled, US 30-Year-Olds Enter the Era of 'Delayed Adulthood'

This a16z report analyzes four key trends through data visualization. First, while the "DExit" narrative suggests companies are leaving Delaware due to legal shifts, the data reveals a more nuanced picture; Delaware's overall share of businesses has actually grown, though specific entities like Wyoming LLCs are gaining traction. Second, AI sector demonstrates the Jevons Paradox: as the cost of AI tokens halved, their usage doubled, and demand for older GPUs remains strong, indicating the AI-driven economy is still in its early stages. Third, AI capital expenditure is massive, comparable to total US bank lending and significantly larger than corporate tax income or the military budgets of other G7 nations. Finally, prediction markets like Kalshi are now outperforming professional forecasters in predicting Federal Funds Rates. The report concludes with a societal trend: 30-year-olds are increasingly delaying traditional life milestones like marriage, homeownership, and having children, with college enrollment being the only metric that has risen sharply, though its value is now being questioned.

marsbit03/02 07:16

a16z Infographic: AI Costs Halved, Usage Doubled, US 30-Year-Olds Enter the Era of 'Delayed Adulthood'

marsbit03/02 07:16

My 24 Hours Under Bombardment in Dubai

Author Brother Bing recounts 24 hours in Dubai during missile attacks following US-Israel joint declaration of war against Iran. Initially dismissing the conflict due to Dubai's reputation as a safe haven, the author continues daily routines until hearing blasts in the afternoon. Despite explosions nearby, public life remains normal with cafes full and people outdoors. At midnight, intense bombardments prompt evacuation to the garage with neighbors. Rumors spread about leaders' deaths and airport destruction, though authorities later advise returning home. Attacks continue the next morning with reports of Burj Al Arab being hit but minimal casualties. The author analyzes impacts: Dubai's "safe hub" narrative is shattered, potentially affecting tourism, property speculation, and foreign migration. While ground invasion remains unlikely, the psychological blow to stability could divert capital and expatriates to alternatives like Singapore. The author concludes by noting the UAE's efficiency and wealth may mitigate long-term damage, while humorously requesting a bomb shelter for future incidents.

marsbit03/01 14:03

marsbit03/01 14:03

Under the AI Wave, Which Web3 Careers Are Rapidly Disappearing?

The rapid advancement of AI is profoundly impacting the Web3 job market, leading to the decline of several traditional roles while creating new opportunities. Roles such as junior Solidity developers, entry-level researchers, community moderators, crypto traders, and NFT artists are increasingly being replaced by AI, which can perform these tasks faster, cheaper, and often more effectively. Conversely, new Web3 professions are emerging. These include AI-Web3 synergy architects, who design systems for AI and blockchain integration; AI agent training coordinators, managing multi-agent collaboration; advanced prompt engineers crafting behavioral frameworks for AI; on-chain behavioral economists designing anti-AI-exploit tokenomics; Web3 compliance and ethics officers addressing algorithmic bias; and privacy and proof-of-humanity experts verifying human identity in an AI-dominated landscape. The key takeaway is adaptability. Web3 professionals must assess whether their current roles will remain relevant and focus on areas where human-AI collaboration creates value—the intersection of human ingenuity and machine efficiency.

marsbit03/01 03:57

Under the AI Wave, Which Web3 Careers Are Rapidly Disappearing?

marsbit03/01 03:57

a16z Charts of the Week: AI Costs Halved and Usage Doubled This Year, Major Life Milestones for 30-Year-Olds in the US Delayed Across the Board

a16z's Charts of the Week explores four key trends. First, while a "DExit" (Delaware Exodus) narrative exists due to high-profile companies leaving over legal concerns, data shows a more complex reality. Delaware's overall share of U.S. businesses has actually grown, though Wyoming has seen a surge in LLC registrations. Second, AI demonstrates the Jevons Paradox: as the cost to process AI tokens halved this year, usage doubled. Demand for older GPU rentals (H100, A100) is also rising, contradicting predictions of a compute glut. Historical parallels suggest the full economic impact of AI may take time to materialize. Third, AI capital expenditure is massive, comparable to annual U.S. bank lending and significantly larger than U.S. corporate tax income or the military budget of any non-U.S. G7 nation. Fourth, the prediction market Kalshi is outperforming professional forecasters and futures markets in predicting the Federal Funds Rate, providing a valuable high-frequency, probabilistic benchmark. Finally, data shows a stark delay in life milestones for 30-year-olds in the U.S. Since the 1980s, far fewer are living independently, married, living with children, or owning a home. The only exception is college attainment, which has nearly doubled since 1995, though the value of a degree is increasingly questioned.

marsbit03/01 02:49

a16z Charts of the Week: AI Costs Halved and Usage Doubled This Year, Major Life Milestones for 30-Year-Olds in the US Delayed Across the Board

marsbit03/01 02:49

Citrini's Echo Lingers: What Is the Market Still Debating?

The article discusses the market and academic reactions to a speculative report titled "The 2028 Global Intelligence Crisis" by James van Geelen of Citrini Research. The report, which went viral with 27 million views, predicted a severe economic crisis triggered by rapid AI-driven displacement of white-collar jobs, leading to reduced consumer spending, defaults on SaaS-backed financial products, and a credit crunch. This caused significant stock market declines in companies like IBM and DoorDash. Key debates center on three areas: the speed and scale of AI-induced job displacement, the mechanism of demand collapse, and the likelihood of a financial crisis. While some evidence supports AI's cost-saving potential and displacement effect, critics argue that institutional inertia, regulatory barriers, and historical technological adoption rates (e.g., electricity, smartphones) suggest a slower transition. Others challenge the demand collapse narrative, citing Jevons Paradox (lower prices may boost demand) and Moravec’s Paradox (physical jobs remain resilient). The report’s crisis transmission mechanism is questioned due to stronger current financial regulations and lower corporate leverage compared to 2008. Policy responses, like fiscal stimulus during COVID-19, are seen as potential mitigants. Consensus exists on AI’s transformative impact and transitional pain, but disagreements remain on the speed, systemic risk, and societal adaptability. The article concludes that while Citrini’s scenario overlooks human and institutional resilience, overly optimistic views also risk ignoring short-term disruptions. The emphasis is on independent judgment rather than accepting extreme predictions.

比推02/27 14:42

Citrini's Echo Lingers: What Is the Market Still Debating?