Anti-DeFi Ads Urge US Senators to Pass Crypto Bill

TheNewsCryptoPubblicato 2026-01-10Pubblicato ultima volta 2026-01-10

Introduzione

An anti-decentralized finance group is running ads on Fox News urging the public to pressure U.S. senators to pass crypto market structure legislation without DeFi provisions, which are seen as a threat to the banking industry. The ads, shared by Crypto in America host Eleanor Terrett, warn that DeFi could stall innovation and potentially drain trillions from traditional banks, citing a U.S. Treasury estimate that $6.6 trillion in deposits could leave the banking system if stablecoins gain widespread adoption. The campaign has drawn criticism from the crypto community, including Uniswap Labs CEO Hayden Adams, who called it ironic and questioned the transparency of the group behind the ads. Meanwhile, the CLARITY Act faces potential delays, with some analysts predicting it may not pass until 2027.

An anti-decentralised finance group is running ads on Fox News pushing the public to put pressure on their senators to pass crypto market structure legislation that leaves DeFi provisions identified to be threatening to the banking industry.

On January 9, two screenshots were shared on X by Crypto in America host Eleanor Terrett, and the Investors For Transparency members mentioned, “Tell Your Senator: Pass Crypto Legislation Without DeFi Provisions.” He also shared a hotline number to contact their local senators.

Another piece of the ad mentioned, “Don’t Let DeFi Stall Innovation.” The ad seems to reflect concerns from banking lobbyists over the CLARITY Act allowing stablecoin issuers to give interest-bearing products that could be impersonated as bank-like deposits and certainly get trillions of dollars from the traditional banking system.

The US Treasury calculated in April that $6.6 trillion worth of traditional banking deposits could pour out of the banking system if stablecoins witness widespread adoption. It comes after the Senate Banking Committee published an official notice for its CLARITY Act markup set for January 15.

Members are unhappy because of this move

Many members of the crypto community are not happy with the banking lobby efforts. The chief executive officer of Uniswap Labs, Hayden Adams, mentioned that the move is ironic and unsurprising that the Investors For Transparency organisation is running an ad campaign against DeFi while not telling who they actually are and from where they get funds.

Various Democratic policymakers are also putting forth conflict-of-interest safeguards in the crypto market structure bill. The fear also revolves around slowing the momentum of the CLARITY Act bill of the 2026 US midterm election, with TD Cowen’s Washington Research Group reporting the bill may not pass Congress till 2027, having final execution likely pushed to 2029.

The Chair of the Senate Banking Committee, Tim Scott, although, seems confident that it can be passed quicker and give real results for the American people.

Highlighted Crypto News Today:

XRP Dips 15% as Stablecoin Supply on XRPL Surges

TagsCrypto BillSenate cryptoUSA

Domande pertinenti

QWhat is the main purpose of the anti-DeFi ads running on Fox News according to the article?

AThe ads are pushing the public to pressure their senators to pass crypto market structure legislation that excludes DeFi provisions, which are identified as threatening to the banking industry.

QWhich specific piece of legislation is mentioned in relation to stablecoin issuers and banking concerns?

AThe CLARITY Act is mentioned, with concerns that it could allow stablecoin issuers to offer interest-bearing products that mimic bank-like deposits, potentially drawing trillions from the traditional banking system.

QWhat was the estimated amount of traditional banking deposits that could leave the system if stablecoins see widespread adoption, as cited by the US Treasury?

AThe US Treasury estimated that $6.6 trillion worth of traditional banking deposits could pour out of the banking system if stablecoins witness widespread adoption.

QWhy is Hayden Adams, CEO of Uniswap Labs, critical of the Investors For Transparency organization?

AHe finds it ironic and unsurprising that the organization is running an ad campaign against DeFi while not disclosing their identity or the source of their funding.

QWhat is the projected timeline for the CLARITY Act to potentially pass Congress and be fully executed, according to TD Cowen’s Washington Research Group?

ATD Cowen’s Washington Research Group reported the bill may not pass Congress until 2027, with final execution likely pushed to 2029.

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