Banks Need CLARITY Act More Than Crypto – Former CFTC Chair Explains Why

bitcoinistPubblicato 2026-03-10Pubblicato ultima volta 2026-03-10

Introduzione

Former CFTC Chairman Chris Giancarlo argues that US banks need the regulatory clarity provided by the CLARITY Act more than the crypto industry does. He states that without clear rules, banks' general counsels are preventing large investments in new technology, risking that US institutions fall behind global counterparts. In contrast, the crypto industry, composed of risk-takers, will continue to build and innovate in other jurisdictions if necessary. Giancarlo believes the odds of the stalled bill passing are 60-40, noting it has become a political issue pitting Republicans against Democrats and TradFi against DeFi. He warns that if the legislation fails, agencies like the SEC and CFTC will likely establish temporary rules, but this won't provide the long-term certainty that banks require to modernize.

US banks may need regulatory clarity more than the crypto industry, a former Commodity Futures Trading Commission (CFTC) chief said, arguing they risk falling behind the rest of the world.

Regulatory Uncertainty Could Leave US Banks Behind

On Sunday, Chris Giancarlo, former chairman of the CFTC, discussed the significant policy reversal under the Trump administration that has been driving crypto innovation in the US, including the highly anticipated market structure bill.

In an interview for Scott Melker’s The Wolf Of All Streets podcast, the ex-CFTC chief affirmed that landmark stablecoin legislation enacted last July, the GENIUS Act, was “the appetizer” for crypto regulation, while the market structure bill, also known as the CLARITY Act, represents the main dish but has become the “hard part.”

For context, the CLARITY Act has been stalled for nearly two months after the Senate Banking Committee published its bill draft in mid-January. Multiple policies, including key restrictions for stablecoin issuers, were criticized by crypto leaders, leading to a prolonged fight between banks and the digital assets industry.

Giancarlo affirmed that banks need regulatory clarity more than the crypto industry, arguing that they will be hesitant to invest in new technology without clear rules, and their systems will be superseded.

The banks, however, can’t afford regulatory uncertainty. Their general counselors are telling their boards, you can’t invest billions of dollars in this (...) unless you’ve got regulatory certainty. (...) The banks need this clarity because they need to build this. They need to be in the forefront, not in the rear guard of this innovation.

On the contrary, the crypto industry will continue to build and innovate in other jurisdictions. “They are risk-takers. They’re going to build it here, or they’re going to build it abroad,” the former CFTC chairman asserted.

If the CLARITY Act isn’t passed, Giancarlo believes the leaders of financial regulatory agencies, such as the Securities and Exchange Commission (SEC) and CFTC, will likely establish the necessary rules to oversee the sector.

“They won’t have the support of legislation that makes it work forever or at least into the next presidential cycle, but it’ll make it work for now. Now, does that give the industry the certainty they want? No. And who needs that certainty more than the banks? Crypto doesn’t need it. They were building even under the whip hand of Gary Gensler,” he added.

Are The Odds In Crypto Regulation’s Favor?

Giancarlo emphasized that the digital assets legislation has become a political issue, with Republicans opposing Democrats, and traditional finance (TradFi) opposing decentralized finance (DeFi) and new technologies.

The ex-CFTC chief also noted that the challenges of the regulatory timing, asserting that “If we could not be in a worse time, we’re in an election year.” During this period, politicians’ focus is on the upcoming mid-term elections, he detailed, and “everything that takes place in Washington (...) is all about swaying the voters for the elections.”

Last month, Treasury Secretary Scott Bessent urged lawmakers to pass the stalled bill this spring. He acknowledged the efforts of a bipartisan working group to advance the legislation, emphasizing that Democrats are open to collaborating with Republicans.

He also warned that the chances of reaching a deal could crumble if Democrats gain control of the House of Representatives in November, given the Biden administration’s stringent regulations on the industry.

Despite the delay, Giancarlo believes the odds are 60-40 in favor of passing the legislation, arguing that there’s “a lot of good in the bill for all sides” and its importance is recognized by all parties.

“I think there’s a recognition that this is the new architecture of finance and America, our financial institutions are the world’s dominant financial institutions. We need to modernize that. We need to adopt this technology,” he concluded.

The total crypto market capitalization is at $2.31 trillion in the one-week chart. Source: TOTAL on TradingView

Domande pertinenti

QAccording to the former CFTC chair, why do US banks need regulatory clarity more than the crypto industry?

ABecause their general counsels advise that they cannot invest billions of dollars in new technology without regulatory certainty, and they risk having their systems superseded and falling behind the rest of the world.

QWhat are the two key pieces of legislation mentioned, and how does the former CFTC chairman describe their relationship?

AThe two key pieces are the GENIUS Act and the CLARITY Act. He describes the GENIUS Act as 'the appetizer' for crypto regulation, while the CLARITY Act (market structure bill) represents 'the main dish' but is the 'hard part.'

QWhat does Chris Giancarlo believe will happen if the CLARITY Act is not passed by Congress?

AHe believes that financial regulatory agencies like the SEC and CFTC will likely establish the necessary rules to oversee the sector, but this will not provide the long-term certainty that the industry, particularly banks, desires.

QWhy is the current timing particularly challenging period for passing crypto regulation, according to the article?

ABecause it is an election year, where politicians' focus is on swaying voters for the upcoming mid-term elections, making it a difficult time to pass significant legislation.

QWhat odds does Giancarlo give for the CLARITY Act eventually being passed, and what is his reasoning?

AHe gives 60-40 odds in favor of passing the legislation, reasoning that there is 'a lot of good in the bill for all sides' and a recognition that modernizing financial architecture with this technology is necessary for the US to maintain its dominant position.

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.

marsbit58 min fa

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

marsbit58 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