Banks win on stablecoin yield, CLARITY Act delayed – ‘Still hopeful we get a bill’

ambcryptoPubblicato 2026-01-13Pubblicato ultima volta 2026-01-13

Introduzione

Senate Agriculture Committee Chairman John Boozman has delayed the markup of the CFTC portion of the crypto market structure bill (CLARITY Act) to the end of January to secure broader bipartisan support. Meanwhile, the Senate Banking Committee is proceeding with its January 15 markup deadline. Its draft legislation prohibits stablecoin rewards on deposits, allowing only "activity-based" rewards—a move opposed by many in crypto. Industry leaders like Jake Chervinsky warned this issue could threaten the bill, while Mike Novogratz remains cautiously optimistic. The bill would assign regulatory roles: CFTC oversees commodities and derivatives, while the SEC handles token classification, stablecoins, and DeFi. Officials like Paul Atkins express confidence in its passage, predicting it will help the U.S. become the "crypto capital of the world." Prediction markets indicate an 80% chance of the bill passing in 2026, with Bitwise CIO noting its outcome could significantly influence Bitcoin's price trajectory.

Senate Agriculture Committee Chairman John Boozman (R-Arkansas) has delayed the markup of the CFTC side of crypto market structure legislation (CLARITY Act).

In a statement, Boozman said the committee markup has been pushed from the 15th of January to the last week of this month, citing the need for more engagement to garner “broad bipartisan support.”

“To finalize the remaining details and ensure the broad support this legislation requires, additional time is needed before moving to markup.”

Senate Banking draft prohibits stablecoin yield

However, the Senate Banking Committee, which will handle the SEC (Securities and Exchange Commission) side of the legislation, will proceed with the 15th January deadline for the markup.

At press time, the Banking Committee had released a tentative draft for markup.

Although the draft offered safe harbor for developers, the crypto industry appeared to have lost the stablecoin yield issue to banks. The draft bans stablecoin rewards on deposits via service providers.

The only stablecoin rewards permitted by the legislation will be “activity-based” rather than deposits, a proposal some crypto leaders had strongly opposed.

In fact, Jake Chervinsky, chief legal officer at crypto VC Variant Fund, said the yield issue was “one of the few things” that could blow up the market structure bill.

For his part, Galaxy CEO Mike Novogratz said there were,

“Lots of woods to chop, but still hopeful we get a bill.”

That said, the bill will enable the CFTC (Commodity Futures Trading Commission) to oversee commodities, derivatives, and the spot market.

On the other hand, the SEC will handle token classification, stablecoins, DeFi, and investor protection aspects of the bill.

After each side has finalized its respective markups, the bill should be merged before the Senate debate and floor vote. The House must also approve it before it can be advanced to the president.

Paul Atkins bullish on crypto bill outcome

Despite considerable panic from some crypto leaders over the outcome, the President Donald Trump administration officials appeared positive.

Patrick Witt, Executive Director, President’s Council of Advisors for Digital Assets, reiterated that the bill would pass.

“Don’t be a panican. Stay engaged, and trust the process. CLARITY is near.”

SEC Chair Paul Atkins also reinforced a bullish outlook and added,

“Passing bipartisan market structure legislation will help us future-proof against rogue regulators, ensuring that we achieve President Trump’s goal to make the U.S. the crypto capital of the world.”

Meanwhile, prediction site Polymarket projected an 80% chance of the bill’s passage in 2026. Bitwise CIO Matt Hougan said that BTC could reach a new record high if the bill passes.

However, he warned the “crypto winter” could be prolonged if the bill fails to advance.


Final Thoughts

  • Senate Banking draft released for January 15 markup prohibits stablecoin rewards.
  • Bitwise CIO predicted that the bill’s outcome could determine Bitcoin’s direction in 2026.

Domande pertinenti

QWhy was the markup of the CFTC side of the CLARITY Act delayed?

ASenate Agriculture Committee Chairman John Boozman delayed the markup to allow for more engagement to garner broad bipartisan support, pushing it from January 15th to the last week of the month.

QWhat is the key restriction on stablecoin rewards in the Senate Banking Committee's draft legislation?

AThe draft legislation bans stablecoin rewards on deposits via service providers, permitting only 'activity-based' rewards instead.

QAccording to the article, which regulatory body will oversee the spot market for crypto commodities under the proposed bill?

AThe Commodity Futures Trading Commission (CFTC) will oversee commodities, derivatives, and the spot market.

QWhat did Galaxy CEO Mike Novogratz say about the prospects of the crypto market structure bill?

AMike Novogratz said, 'Lots of woods to chop, but still hopeful we get a bill.'

QWhat potential market impact did Bitwise CIO Matt Hougan predict based on the bill's outcome?

AMatt Hougan predicted that Bitcoin could reach a new record high if the bill passes, but warned that the 'crypto winter' could be prolonged if it fails.

Letture associate

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit59 min fa

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit59 min fa

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.

marsbit1 h fa

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

marsbit1 h fa

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.

marsbit1 h fa

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

marsbit1 h fa

Trading

Spot
活动图片