Odds Of Crypto Market Structure Bill Passing This Year Fall To 40% On Polymarket

bitcoinist2026-02-25 tarihinde yayınlandı2026-02-25 tarihinde güncellendi

Özet

According to prediction market Polymarket, the odds of the crypto market structure bill, the CLARITY Act, passing this year have fallen sharply to 42%. This drop reflects growing skepticism that ongoing high-level negotiations between the crypto industry and banking representatives will reach a breakthrough in time, despite months of discussions at the White House. A key sticking point is draft legislation addressing bank concerns, particularly around crypto rewards programs. A major outcome is that paying yield on idle stablecoin balances is now off the table. The debate has shifted to whether rewards can be tied to specific user activities instead of simple account balances. Market experts suggest that if passed, the bill could significantly impact Bitcoin derivatives markets. It would likely cement the CFTC's authority, potentially leading to more regulated US trading venues and the emergence of CFTC-registered perpetual futures platforms. This clarity could encourage greater institutional participation and reduce discrepancies between spot and futures markets. Furthermore, Bitcoin options markets might see new regulated venues and potentially lower volatility, making strategies like hedging more accessible.

The likelihood that the long‐awaited crypto market structure legislation, known as the CLARITY Act, will become law this year has fallen sharply over the past 24 hours, according to data from prediction platform Polymarket.

Traders now assign the bill a 42% chance of passing in 2026, reflecting growing skepticism that ongoing negotiations between the crypto industry and the banking sector will produce a breakthrough in time.

Crypto And Banks Remain Divided

The drop in confidence comes despite months of high-level discussions at the White House. Lawmakers and industry representatives have been attempting to build consensus around a broader market structure framework.

However, three key White House meetings between crypto firms and banking representatives have yet to yield a final agreement. Even so, public messaging from officials has remained upbeat.

Crypto market structure bill odds of passing drop to 42%. Source: Polymarket

As Bitcoinist reported last week, Patrick Witt, Executive Director of the President’s Council of Advisors for Digital Assets, described the latest round of talks as “a big step forward.” “We’re close,” Witt wrote, adding that if both sides continue negotiating in good faith, he expects the administration’s March 1 deadline to be met.

At the center of the discussions is draft legislative language designed to address concerns raised by banks in a document titled “Yield and Interest Prohibition Principles.”

While the proposed text acknowledges the banking sector’s objections, it also makes clear that any restrictions on crypto rewards programs would be narrowly tailored.

One significant outcome of the negotiations is that paying yield on idle stablecoin balances — a major objective for many crypto firms — is effectively off the table.

Instead, the debate has shifted toward whether companies should be permitted to offer rewards tied to specific user activities rather than simple account balances.

How New Rules Could Change Bitcoin Derivatives Markets

Beyond the political back‐and‐forth, market expert MartyParty recently highlighted potential structural shifts that could follow the bill’s passage, arguing that the changes may be more significant than many investors realize.

In the Bitcoin (BTC) futures market, clearer jurisdictional boundaries would likely cement the Commodity Futures Trading Commission’s (CFTC) authority over digital asset commodities.

The expert believes that could accelerate the growth of regulated US trading venues, similar to CME, and potentially open the door to CFTC‐registered perpetual futures platforms.

According to MartyParty’s analysis, clear commodity classification may also encourage greater institutional participation, particularly from funds that are restricted from investing in assets deemed securities.

Perpetual futures contracts — a crypto‐native product widely used outside the United States — could also evolve. With CFTC registration, US‐based perpetual products might emerge with stronger consumer protections, greater transparency around funding rates, and tighter safeguards against manipulation.

Greater regulatory clarity could also reduce discrepancies between spot and futures markets, narrowing price gaps and stabilizing funding dynamics. At the same time, stricter leverage caps or margin requirements imposed under CFTC rules could limit the extreme levels of retail speculation currently seen on offshore platforms.

Bitcoin options markets would likely experience parallel shifts. The expert asserts that a clearer regulatory framework could encourage the development of additional US‐regulated options venues offering both physically settled and cash‐settled contracts tied to Bitcoin futures.

Reduced enforcement uncertainty may also lower implied volatility premiums, potentially making options more affordable for hedging and speculative strategies.

Institutional investors, in particular, could more confidently deploy advanced strategies — including collars and straddles — if Bitcoin’s commodity status is firmly established.

The 1D chart shows BTC’s price consolidation, currently at around $66,000. Source: BTCUSDT on TradingView.com

Featured image from OpenArt, chart from TradingView.com

İlgili Sorular

QAccording to Polymarket, what are the current odds that the CLARITY Act will pass this year?

AThe current odds that the CLARITY Act will pass this year are 42%.

QWhat is the major sticking point in the negotiations between the crypto industry and banks, as mentioned in the article?

AA major sticking point is the debate over whether companies should be permitted to offer rewards tied to specific user activities rather than simple account balances, with paying yield on idle stablecoin balances effectively being off the table.

QWhich US regulatory body is expected to gain clearer authority over digital asset commodities if the bill passes?

AThe Commodity Futures Trading Commission (CFTC) is expected to have its authority over digital asset commodities cemented.

QWhat potential benefit for institutional investors does the expert MartyParty highlight regarding Bitcoin's classification?

AMartyParty highlights that if Bitcoin's commodity status is firmly established, institutional investors could more confidently deploy advanced options strategies like collars and straddles.

QWhat was the public messaging from officials like, despite the lack of a final agreement from the White House meetings?

ADespite the lack of a final agreement, public messaging from officials remained upbeat, with one executive director describing the latest talks as 'a big step forward' and expressing that they are 'close' to a deal.

İlgili Okumalar

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

Pete Florence, a former senior research scientist at Google DeepMind and a key contributor to the Vision-Language-Action (VLA) model architecture, is deliberately distancing his startup, Generalist AI, from the trendy "world model" label. He argues that the industry should prioritize concrete goals over buzzwords. His goal is to create robots that can perform a vast range of unseen tasks with high speed and success rates, without needing task-specific training data. Recently, his company raised $400 million (¥2.7 billion) at a $2 billion valuation. Notable investors include NVIDIA's NVentures, Bezos Expeditions, NFDG, as well as Xiaomi co-founder Lin Bin, Zoom founder Eric Yuan, and renowned AI scientist Fei-Fei Li. Florence's approach stems from his academic background at MIT under Professor Russ Tedrake, focusing on understanding the physical world. After joining DeepMind, he developed models like Transporter Network and co-created the VLA framework. He left in 2025 to found Generalist AI. The company has launched two models: GEN-0, which demonstrated that scaling laws apply to physical motion, and GEN-1. GEN-1 was trained on over 500,000 hours of physical interaction data collected via a specialized wearable device. It achieves a 99% success rate on precise mechanical tasks like folding boxes and maintains performance three times faster than its predecessor. Florence believes GEN-1 is reaching a commercial utility threshold similar to the GPT-3 inflection point. The substantial funding round, following GEN-1's release, signifies strong investor confidence in Generalist AI's practical, goal-driven path to creating versatile, useful robots, regardless of the "world model" terminology.

marsbit8 dk önce

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

marsbit8 dk önce

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

In three days, Google lost two AI legends. On June 18, Noam Shazeer, co-author of the seminal "Attention is All You Need" paper and Gemini co-lead, left for OpenAI. Just 48 hours later, John Jumper, 2024 Nobel laureate and AlphaFold lead, departed DeepMind for Anthropic. This follows Andrej Karpathy joining Anthropic in May. These moves highlight a structural trend: top AI talent is concentrating at mission-driven, pre-IPO firms like OpenAI and Anthropic, while Google becomes a primary source. The exodus stems from a core mission mismatch. Google's ad-centric model often subordinates AI research to product and revenue goals, creating friction for pioneers like Shazeer, who returned in 2024 only to leave again. In contrast, OpenAI and Anthropic offer singular focus on pushing AI boundaries, whether towards AGI or safety-aligned models, which deeply appeals to top researchers like Jumper. Financial incentives amplify the pull. With both OpenAI and Anthropic nearing IPO, employees stand to gain immensely from equity, an upside Google's mature stock cannot match. Furthermore, the 2023 merger of Google Brain and DeepMind, intended to consolidate strength, has instead created cultural tension and slowed the path from research to product, as evidenced by Gemini's pace. This talent redistribution is reshaping the AI landscape. While Google retains vast data and compute resources, its true crisis is the quiet, continuous loss of the people who define the field's future. The real moat in AI is not infrastructure, but the concentration of brilliant minds—a battle Google is currently losing.

marsbit2 saat önce

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

marsbit2 saat önce

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

Beyond the familiar performance charts like MMLU-Pro and MMMU, which major AI models strive to ace, stands a key "examiner": Chinese-Canadian researcher Wenhu Chen. An assistant professor at the University of Waterloo and founder of TIGERLab, Chen addresses the crucial need for more rigorous AI evaluation. As models like GPT-4 began scoring near-perfect results on older benchmarks like MMLU, it became difficult to distinguish their true capabilities. In response, Chen introduced MMLU-Pro in 2024, featuring harder, more reasoning-focused questions with more answer choices, successfully reintroducing meaningful performance gaps. His work extends to multi-modal evaluation with MMMU and its enhanced version, MMMU-Pro. These benchmarks test a model's ability to understand and reason with complex information from images, charts, and text across diverse academic subjects, exposing the significant challenges even top models face in genuine comprehension. Chen's background in complex QA, table reasoning, and his experience at Google DeepMind on projects like Gemini inform his approach. He understands that effective benchmarks must anticipate how models might "cheat" by memorizing data or avoiding visual analysis. His lab also actively researches video understanding and generation models (e.g., UniVideo, Vamba), ensuring his evaluation work is grounded in practical model-building challenges. Now at Meta's Super Intelligence Lab, Chen continues his focus on multi-modal data and evaluation, representing the deep yet often unseen contributions of Chinese talent in shaping the fundamental tools of the AI industry.

marsbit2 saat önce

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

marsbit2 saat önce

Alliance Co-founder's Letter to Entrepreneurs: Written at the Moment Cursor Sold for $600 Billion

Alliance Co-founder's Letter to Entrepreneurs: On Cursor's $60 Billion Sale Many aspiring founders see massive exits like Cursor's $60B sale and wonder why they can't achieve the same, often concluding opportunities are exhausted. But great companies aren't built in obvious, crowded spaces. Cursor, like Stripe, Figma, and Shopify before it, started with a non-consensus belief about the future. Before ChatGPT, they believed AI would transform knowledge work. They focused on a genuinely exciting domain, became their own customer, and obsessed over power users. Their journey involved years of "glass-chewing" effort before the market was ready. The pattern is consistent: identify a long-term technological shift, find a missed entry point, and execute for years before the trend becomes obvious. First-generation products (PayPal, Adobe, Amazon) prove a market exists. Second-generation winners (Stripe, Figma, Shopify) rebuild that market around new insights, technology, or changing customer behaviors. Founders must identify their phase in the cycle. Early entrants like Coinbase or Cursor focus on making new technology usable for power users. Later entrants find the "yin" to the established "yang"—the blind spots incumbents miss as they grow distant from individual users. The key is deep market immersion. Use every product in your space. Talk to users. Build an audience. Stop looking for ideas and start *seeing* them everywhere. Then, choose one. The idea must offer a 10x improvement or solve a "hair-on-fire" pain point—something severe enough that users are already crafting workarounds. When building, avoid feature bloat. Ask: why would someone switch? Great startups rarely force new behaviors; they improve familiar workflows with drastically lower friction (e.g., Cursor forked VS Code instead of creating a new editor). Distribution is the underestimated moat. Before product-market fit, achieve distribution-market fit. How do customers discover new tools? Founders like those at Airbnb, Stripe, and Cursor did unscalable, manual work to recruit early users. The final, unteachable ingredient is resilience. Cursor built for years pre-market, faced rejection, and persisted. So did Airbnb, Nvidia, and Rain (which launched post-FTX collapse). The lesson isn't that these founders were smarter, but that they stayed in the game long enough for their insights to compound. Framework: Spot technological cycles. Cultivate unique insight. Obsess over your market. Talk to customers. Find a hair-on-fire problem. Build the simplest wedge. Win your distribution channel. Above all, don't quit when it gets hard. Most people won't do these things consistently. The few who do build the next generation of great companies. Go build.

marsbit2 saat önce

Alliance Co-founder's Letter to Entrepreneurs: Written at the Moment Cursor Sold for $600 Billion

marsbit2 saat önce

İşlemler

Spot
Futures
活动图片