CLARITY Act May Not Pass Before April, Says Senate Leader John Thune

TheNewsCryptoPublished on 2026-03-13Last updated on 2026-03-13

Abstract

Senate Majority Leader John Thune stated that the CLARITY Act, a key cryptocurrency market structure bill, is unlikely to be considered before April. The legislation aims to clarify regulatory roles for digital assets in the U.S., specifically defining the responsibilities of agencies like the SEC and CFTC. Lawmakers are currently prioritizing other pressing issues, including the SAVE America Act. Thune expressed hope that the market structure bill would advance later, though not immediately. There are concerns that delays could hinder U.S. competitiveness, as other countries like China may gain ground in crypto innovation. Despite the postponement, there is optimism that the bill could pass in 2026 if negotiations proceed smoothly. The act seeks to reduce regulatory uncertainty and support innovation in the digital asset market.

John Thune, the leader of the U.S Senate majority, said that lawmakers may consider delaying the legislation on the crypto market structure until April. He said that the Senate Banking Committee may consider it later. Since lawmakers are currently busy working on other pressing issues. The proposed legislation, known as the CLARITY Act, aims to help lawmakers clarify rules governing digital assets and cryptocurrencies in the US.
The lawmakers proposed the legislation to clarify the roles that different regulators play in the management of digital assets and the overall financial market.

In post X by Eleanor Terret, indicate that the Senate will focus on the SAVE America Act first before the crypto market structure bill. Thune said, “Market structure is a bill that’s, I’m hoping, going to come out soon.” He added that the legislation will probably move forward “probably not before, I would say, the April time period.”

Lawmakers discussed various policy issues related to stablecoin regulation and financial oversight when they shared these comments. Industry observers closely watch these developments because they could significantly influence future cryptocurrency regulations. The lawmakers had already moved previous versions of these bills through House committees during previous discussions. However, Senate leaders are now indicating that they will tackle other legislative priorities before considering cryptocurrency bills.

Debate Over Crypto Regulation Continues

Donald Trump has indicated that continued delays in the regulation of the crypto market could affect the U.S digital asset market. According to Trump, continued delays could allow other countries, like China. This was to have a better position in the world’s cryptocurrency market. He stated that continued delays in the legislation could allow innovation and development to occur outside the United States.

The regulators are working on clarifying the responsibilities that different bodies, like the SEC and CFTC in the United States, have in regulating digital assets. This is in a bid to reduce the uncertainty that exists in the digital assets market and the investments that occur in the market. There is optimism among lawmakers regarding the legislation despite the proposed adjustments that are expected in the Senate. There is a likelihood that the legislation could be passed later in 2026 if everything goes smoothly in the negotiations.

According to different policy analysts, the legislation could be passed later in 2026 if everything goes smoothly in the negotiations. There are continued calls by different bodies for lawmakers to establish clear regulations that support innovation in the digital assets market.

Highlighted Crypto News:

Crypto Miners Turn to Asset Strategies as Profit Pressures Intensify

TagsBitcoinBitcoin (BTC)BlockchainClarity ACTU.S SenateUS Senate

Related Questions

QWhat is the CLARITY Act and what is its primary purpose?

AThe CLARITY Act is proposed legislation that aims to clarify the rules governing digital assets and cryptocurrencies in the US, specifically by defining the roles that different regulators play in their management and the overall financial market.

QAccording to Senate Leader John Thune, when is the crypto market structure bill likely to be considered?

ASenate Leader John Thune stated that the crypto market structure bill will probably not be considered until the April time period, as lawmakers are currently focused on other pressing issues like the SAVE America Act.

QWhy are industry observers closely watching the developments around this legislation?

AIndustry observers are closely watching these developments because the legislation could significantly influence future cryptocurrency regulations in the United States.

QWhat concern did Donald Trump raise regarding delays in U.S. crypto regulation?

ADonald Trump indicated that continued delays in regulating the crypto market could allow other countries, like China, to gain a better position in the world's cryptocurrency market, causing innovation and development to occur outside the United States.

QWhich U.S. regulatory bodies are working to clarify their responsibilities in regulating digital assets?

ARegulators like the SEC (Securities and Exchange Commission) and the CFTC (Commodity Futures Trading Commission) are working on clarifying their responsibilities in regulating digital assets to reduce market uncertainty.

Related Reads

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.

marsbit10h ago

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

marsbit10h ago

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.

marsbit12h ago

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

marsbit12h ago

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.

marsbit12h ago

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

marsbit12h ago

Trading

Spot
Futures
活动图片