# Сопутствующие статьи по теме Policy

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

Trump, the "Stock Market Manipulator" in U.S. Stocks, Lifts Up the Entire Quantum Computing Sector

"Trump, the 'U.S. Stock Market Mastermind,' Boosts the Entire Quantum Computing Sector" This article details how former U.S. President Donald Trump's policies and public statements have significantly influenced the stock market, particularly in the quantum computing sector. A key example is the U.S. government's direct investment in Intel stock in August 2025, which yielded over $45 billion in gains within seven months. Trump publicly credited himself for this profit. Recently, the Trump administration announced a new $2 billion initiative. Through the Department of Commerce, funding from the CHIPS and Science Act will be provided to nine quantum computing companies in exchange for minority, non-controlling equity stakes. The recipients include IBM ($1B for its subsidiary Anderon), GlobalFoundries ($375M), and listed companies like D-Wave, Infleqtion, and Rigetti ($100M each). Private firms such as Atom Computing and PsiQuantum also received $100M. This "investment-for-equity" strategy marks a shift from pure subsidies to an "active investor" model under the CHIPS Act. The announcement immediately boosted quantum computing stocks. The article frames this as part of Trump's "America First" industrial policy, aimed at securing U.S. technological leadership, similar to past investments in semiconductors, rare earths, and lithium. The author suggests this pattern of government-backed market intervention, alongside Trump's personal stock endorsements, is a hallmark of his approach to driving market gains and may continue in sectors like defense and advanced energy.

marsbit2 дня назад 09:13

Trump, the "Stock Market Manipulator" in U.S. Stocks, Lifts Up the Entire Quantum Computing Sector

marsbit2 дня назад 09:13

SEC Slams the Brakes at the Last Minute, Halting "Tokenized U.S. Stocks"

On May 22, the U.S. SEC postponed the release of a key "innovation exemption" draft that would have permitted crypto-native platforms to issue and trade tokenized U.S. stocks on decentralized venues without full traditional exchange compliance. This would have legalized a "third-party token" model used overseas, where platforms issue tokens tracking stock prices without the underlying company's involvement, raising unresolved questions about shareholder rights, dividends, and sanctions enforcement. Meanwhile, the SEC had already approved a different, compliant path for tokenization led by Nasdaq and NYSE. Their model integrates tokenized stocks into existing settlement systems (like DTCC), preserving all shareholder rights. This creates a fundamental conflict: crypto platforms seek a permissionless, 24/7 on-chain parallel market, while traditional exchanges advocate for an upgraded, regulated version of the current system. Intense lobbying from traditional exchange groups like the World Federation of Exchanges argued the exemption would create an unfair regulatory advantage and dilute investor protection. Even some compliant crypto firms favored delay. Internally, SEC commissioners were divided on the scope and pace of the exemption. The delay highlights a critical policy crossroads. With significant trading volume already occurring overseas, the SEC's decision will determine whether the U.S. embraces a dual-track system for tokenized equities or sidelines itself from an emerging global infrastructure. The core unresolved question remains the legal status and rights of holders of third-party tokenized stocks. The SEC paused because the draft framework risked creating a major new asset class with profound, unanswered legal implications.

marsbit05/26 01:58

SEC Slams the Brakes at the Last Minute, Halting "Tokenized U.S. Stocks"

marsbit05/26 01:58

Will Warsh Compromise with Trump? A Look at the 70-Year Power Struggle Between the President and the Fed

Will the Fed's new chair, Kevin Warsh, yield to pressure from President Trump? A White House-administered oath ceremony for Warsh breaks recent precedent, spotlighting a seven-decade power struggle between the presidency and the Federal Reserve. Historically, each Fed chair has balanced political pressure with policy independence. Warsh's situation, however, is uniquely complex, inheriting a divided Federal Open Market Committee (FOMC) with some members opposing even hints of rate cuts, while Trump expects easing. The report from Caitong Securities reviews this history: from William Martin establishing independence, to Arthur Burns compromising under Nixon, Paul Volcker building institutional credibility, Alan Greenspan navigating political waters, and Jerome Powell facing severe pressure from Trump, ultimately hardening the Fed's defensive stance. Warsh, a former Fed governor known for questioning quantitative easing, is not a traditional dove. His recent statements emphasize a nuanced view of Fed independence, skepticism of forward guidance, serious concern over inflation (contradicting Trump's "fake inflation" claims), and the potential for AI-driven productivity gains to allow rate cuts. The analysis concludes Warsh's policy will likely feature a clear direction but cautious pace. Rate cuts are probable but constrained by persistent inflation above target; if Trump pressures heavily, Warsh may delay cuts to defend Fed independence. Balance sheet reduction is seen as necessary but will be gradual to avoid premature conflict. Ultimately, Warsh's path will depend more on macroeconomic trends—inflation, growth, oil prices—than on his personal stance or the immediate political relationship.

marsbit05/22 01:57

Will Warsh Compromise with Trump? A Look at the 70-Year Power Struggle Between the President and the Fed

marsbit05/22 01:57

'Stock God' Trump's 3,642 Trades Disclosed: The 'Perfect Closed Loop' of Policy and Portfolio

Summary: Donald Trump's First Quarter stock trades, totaling 3,642 transactions, have been disclosed. While the White House maintains the trades were managed by an advisor and complied with disclosure laws, they reveal a portfolio heavily aligned with his policy agenda. The trades show a rotation away from major tech stocks like Microsoft, Amazon, and Meta, and into semiconductor and AI hardware companies such as NVIDIA, AMD, Broadcom, Dell, and Intel. Notably, Trump's account purchased Dell stock before he publicly praised the company, after which its stock rose. The Dell family also pledged funds to a Trump-affiliated policy project. A critical case is Intel. The Trump administration converted $8.9 billion in CHIPS Act subsidies into a 9.9% equity stake, making the U.S. government Intel's largest shareholder. Months later, Trump's personal account also bought Intel stock. This intertwines national industrial policy with potential personal financial interest. Unlike typical insider trading concerns, this situation creates a "closed loop": policy decisions (e.g., subsidies, tariffs, crypto regulation) can boost the value of his holdings, and those holdings may, in turn, influence future policy directions. This blending of presidential power and personal portfolio, while legally disclosed, raises profound questions about conflicts of interest that current rules do not address.

marsbit05/18 10:26

'Stock God' Trump's 3,642 Trades Disclosed: The 'Perfect Closed Loop' of Policy and Portfolio

marsbit05/18 10:26

2026 New Policy Interpretation: The "Mutual Pursuit" of Intelligent Agents and AI Terminals, and the Three Major Value Reconstructions in the AIoT Industry

In May 2026, China's national ministries released two pivotal policy documents that jointly establish a strategic "dual-track" framework for the AIoT industry. The "Intelligent Agent Standardized Application and Innovation Development Implementation Opinions" defines the "soul"—positioning intelligent agents as core AI products. The "Artificial Intelligence Terminal Intelligence Grading" national standard defines the "body"—establishing a four-tier capability ladder (L1 to L4) for AI hardware. This synchronized policy approach is globally unique, moving beyond market-led (US) or risk-focused (EU) models. It frames AIoT as a new type of "intelligent infrastructure," comparable to electricity or the internet in historical significance. The core analysis identifies a value evolution from IoT 1.0 (connection) to AIoT 4.0 (collaboration, represented by the forward-looking L4 level). This "L4" signifies a paradigm shift: from users operating tools to delegating tasks to agent-like devices ("Intelligent Action of All Things"). The article outlines three strategic paths for companies: becoming Standard Definers, Scenario Integrators (focusing on 19 specified application areas), or Infrastructure Builders. A critical 18-24 month window is identified for strategic positioning. A "Four Levers" strategy is proposed: leveraging Standards (L-level certification), leveraging Scenarios (deep vertical focus), leveraging Open Source (for cost reduction and ecosystem influence), and leveraging Momentum (engaging in global protocol ecosystems). In conclusion, these policies are a starting gun for a decade-long industrial transformation, shifting the industry narrative from "Intelligent Connection of All Things" to "Intelligent Action of All Things," with companies needing to choose their赛道and execution strategy decisively.

marsbit05/12 11:56

2026 New Policy Interpretation: The "Mutual Pursuit" of Intelligent Agents and AI Terminals, and the Three Major Value Reconstructions in the AIoT Industry

marsbit05/12 11:56

Why Does the Term 'Year of AI Computing Power Realization' Have Pitfalls? —Understanding the Four Hurdles from Policy Signals to Actual Orders in One Article

This article critiques the phrase "The First Year of AI Computing Power Cashing In," arguing it oversimplifies a complex, multi-stage process. It proposes a "Four Gates" framework to assess the true commercialization of domestic AI computing power (like Huawei's Ascend chips): 1. **Policy Procurement:** Widely open in 2026. Significant government funding and large bulk orders from tech giants like Alibaba and Tencent exist. However, purchasing hardware is not the same as deploying it for real use. 2. **Real Deployment:** A crack has opened. The key evidence is DeepSeek V4, a top-tier AI model fully migrating from NVIDIA's CUDA to domestic computing platforms. This proves the capability for real, high-level tasks, but widespread adoption beyond leading tech firms is still nascent. 3. **Mature Software Ecosystem:** A narrow crack has opened. While frameworks like Huawei's CANN are progressing, they lag far behind NVIDIA's vast, established CUDA ecosystem in terms of supported models and developer ease-of-use. Building this middle-to-downstream developer environment is estimated to need 1-2 more years. 4. **Scalable Replication:** Essentially closed. This final gate, where thousands of mid-sized enterprises across various industries can easily adopt the technology without major migration costs, is not expected before 2027-2028. The core risk is conflating these stages. While 2026 marks a real turning point in policy-driven procurement and proving technical viability (Gates 1 & 2), the phrase "cashing in" is premature for the full industry. True, large-scale value realization depends on the later, slower-to-open gates of software maturity and scalable replication to the broader market. DeepSeek V4's shift is identified as the most critical 2026 signal, changing the narrative from "can it work?" to "when will supply meet demand?"

marsbit05/08 11:34

Why Does the Term 'Year of AI Computing Power Realization' Have Pitfalls? —Understanding the Four Hurdles from Policy Signals to Actual Orders in One Article

marsbit05/08 11:34

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