Trump Backs U.S. Clarity Act, Accuses Major Banks of Undermining GENIUS

TheNewsCryptoОпубліковано о 2026-03-04Востаннє оновлено о 2026-03-04

Анотація

Former U.S. President Donald Trump has called for the enactment of the U.S. Clarity Act, which aims to link the country’s economic strength with clear cryptocurrency regulations. In a speech to lawmakers and industry representatives, Trump accused major financial institutions of stifling innovation by impeding technological progress. He argued that regulatory ambiguity has driven crypto businesses and talent overseas, and that well-defined legislation would attract investment and bolster U.S. financial competitiveness. Trump emphasized that legislative clarity would balance innovation with investor protection, warning that the U.S. risks falling behind other nations that offer more certain regulatory environments. The Clarity Act has garnered bipartisan support and seeks to clarify the roles of the CFTC and SEC regarding digital assets, potentially reducing compliance costs and encouraging market confidence. The bill also includes provisions for certain exemptions to foster innovation. Negotiations over the final language of the legislation are ongoing amid mixed reactions from financial institutions and other stakeholders.

The former president of the United States, Donald Trump, urged lawmakers to enact the U.S. Clarity Act, which links the economic prowess of the country with clear crypto rules. In a speech to lawmakers and industry representatives, Trump urged them to enact the Clarity Act to bring clarity to crypto markets. In the speech, Trump accused big financial institutions of undermining innovation in the country by slowing down technological advancements.

Trump claimed that unclear rules have harmed the development of crypto businesses and encouraged talent to move abroad. However, with clear legislation, the country can attract investment and increase its financial prowess globally. In addition, the former president urged lawmakers to avoid excessive regulation without clear legislative backing.

However, enforcement-based regulation, as described by Trump, creates uncertainty for both entrepreneurs and established businesses. According to him, legislative clarity can strike a balance between innovation and investor protection. The statements made by Trump underscored his view that America is at risk of losing a competitive advantage in digital asset regulation. He said that if other countries are able to provide certainty in their regulation, they could attract capital and talent from the American market.

Trump urged lawmakers to put aside their differences and help him move the Clarity Act forward. He said that the bill has already gained bipartisan support from both Congress and the Senate. The statements made by Trump underscored the debate about regulating new financial technologies. The Clarity Act has been supported by those who believe that institutional and retail participation can be facilitated by a clear legal framework, while others believe that poorly structured laws could become barriers to innovation.

Regulatory Context and Market Implications of the Clarity Act

The purpose of the Clarity Act is to determine the jurisdiction of the CFTC and the SEC in different digital assets. According to its proponents, this will help reduce compliance costs for crypto firms. Analysts have pointed out that regulatory confusion has been a problem for various platforms in the crypto space.

There is also a provision for special exemptions for different digital asset activities to encourage innovation in the space. According to various market participants who have been tracking the bill’s progress in Congress, this will help build confidence in the market. Different financial institutions have reacted to the bill in different ways.

Others recognize the potential for legal certainty to facilitate the integration of digital assets into traditional systems of finance. Negotiations on the language of the final bills are underway for lawmakers, and the debate continues on the response from various stakeholders before the final passage.

Highlighted Crypto News:

Pardoned BitMEX Cofounder Pledges £20 Million to London Maths Institute

TagsBlockchainCFTCClarity ACTDonald Trump PardonGenius ACTSECTRUMPU.SUnited States

Пов'язані питання

QWhat is the main purpose of the U.S. Clarity Act according to Donald Trump?

AThe main purpose of the U.S. Clarity Act is to link the economic prowess of the country with clear crypto rules, bringing clarity to crypto markets and attracting investment.

QWho does Trump accuse of undermining innovation in the United States?

ATrump accuses big financial institutions of undermining innovation in the country by slowing down technological advancements.

QWhat two regulatory bodies' jurisdictions does the Clarity Act aim to determine for digital assets?

AThe Clarity Act aims to determine the jurisdiction of the CFTC (Commodity Futures Trading Commission) and the SEC (Securities and Exchange Commission) for different digital assets.

QAccording to the article, what problem has regulatory confusion caused for crypto platforms?

ARegulatory confusion has been a problem for various platforms in the crypto space by increasing compliance costs and creating uncertainty.

QWhat potential benefit does the Clarity Act offer to encourage innovation, as mentioned by its proponents?

AThe Clarity Act offers special exemptions for different digital asset activities to encourage innovation in the space and help build market confidence.

Пов'язані матеріали

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbit14 год тому

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbit14 год тому

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbit15 год тому

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbit15 год тому

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbit16 год тому

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbit16 год тому

Торгівля

Спот
Ф'ючерси
活动图片