Trump Presses Congress To Pass Crypto Market Structure Bill ‘ASAP’

bitcoinist2026-03-04 tarihinde yayınlandı2026-03-04 tarihinde güncellendi

Özet

President Donald Trump has publicly urged Congress to pass the CLARITY Act, a comprehensive crypto market structure bill, "ASAP." In a Truth Social post, he accused the banking industry of undermining both the pending legislation and the previously signed GENIUS Act, which deals with stablecoins. Trump warned that failure to pass the bill could cede U.S. leadership in crypto to other countries like China and argued that Americans should benefit from the financial opportunities digital assets provide. He called for cooperation between banks and the crypto industry. Legislative progress on the bill has stalled due to disputes between these groups, with a key Senate committee now targeting a markup session for late March.

President Donald Trump has publicly addressed the legislative impasse surrounding the CLARITY Act, the long-debated crypto market structure bill that has yet to reach his desk for final approval.

The delay, according to ongoing discussions in Washington, stems largely from disagreements between the banking industry and crypto representatives, particularly over provisions tied to stablecoin rewards.

Trump Says Banks Threaten Stablecoin Law

In a post shared Tuesday on Truth Social, Trump sharply criticized the banking sector, accusing it of attempting to weaken both the broader crypto framework and a separate stablecoin measure he signed into law last year — the GENIUS Act.

“The Genius Act is being threatened and undermined by the Banks, and that is unacceptable — We are not going to allow it,” Trump wrote. He argued that passing comprehensive market structure legislation is urgent, adding, “The U.S. needs to get Market Structure done, ASAP. Americans should earn more money on their money.”

The President also claimed that financial institutions, despite reporting record profits, are working against policies designed to expand opportunities within the digital asset sector.

Trump warned that failing to finalize the CLARITY Act could weaken America’s position in the global crypto race. “We are not going to allow them to undermine our powerful Crypto Agenda that will end up going to China, and other Countries if we don’t get The Clarity Act taken care of,” Trump stated.

Calls For Banking-Crypto Cooperation

Trump further urged the banking sector to reach constructive agreements with the crypto industry, arguing that collaboration would serve the best interests of American consumers and businesses alike.

“This Industry cannot be taken from the People of America when it is so close to becoming truly successful,” he wrote, closing his message with a call for attention to the issue.

Legislatively, progress on the CLARITY Act has been uneven. The Senate Agriculture Committee advanced its portion of the bill in January of this year. However, broader movement has stalled.

The Senate Banking Committee had initially scheduled a markup in January, but that session was canceled amid the same disputes between banking representatives and crypto advocates that continue to complicate negotiations. The committee is now reportedly targeting a new markup date in mid-to-late March.

The daily chart shows the total digital asset market cap at $2.3 trillion as of this writing. Source: TOTAL on TradingView.com

Featured image from OpenArt, chart from TradingView.com

İlgili Sorular

QWhat is the name of the crypto market structure bill that President Trump is urging Congress to pass?

AThe CLARITY Act.

QAccording to Trump, which industry is threatening and undermining the GENIUS Act?

AThe banking industry.

QWhat is one of the main reasons for the legislative delay of the CLARITY Act as mentioned in the article?

ADisagreements between the banking industry and crypto representatives, particularly over provisions tied to stablecoin rewards.

QWhat did Trump warn could happen to America's position in the global crypto race if the CLARITY Act is not finalized?

AIt could weaken America's position, and the crypto agenda could go to China and other countries.

QWhich Senate committee had initially scheduled a markup for the bill in January but canceled it?

AThe Senate Banking Committee.

İlgili Okumalar

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit2 dk önce

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit2 dk önce

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit2 dk önce

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit2 dk önce

İşlemler

Spot
活动图片