CLARITY Act News: Coinbase CEO Responds To Dimon While JPMorgan Sees Low Odds Of 2026 Passage

bitcoinistPublicado a 2026-06-04Actualizado a 2026-06-04

Resumen

Coinbase CEO Brian Armstrong responded to JPMorgan Chase CEO Jamie Dimon's criticism of the CLARITY Act, a crypto regulation bill, calling Dimon's personal remarks "kind of sad" while expressing personal respect. Armstrong argued the bill would benefit traditional banks by providing a clearer regulatory framework and also help crypto companies, urging a focus on passing the legislation. Dimon had stated banks would not accept the current bill and predicted continued resistance from traditional finance. Meanwhile, JPMorgan analysts indicated the odds of the bill passing in 2026 are low, citing time constraints, the approaching midterm elections, and legislative hurdles like stablecoin yield debates.

In an interview with Politico, Coinbase CEO Brian Armstrong pushed back on JPMorgan Chase chief Jamie Dimon’s criticism of the CLARITY Act. At the same time, the bank’s analysts said that the odds of the bill clearing Congress and reaching President Trump’s desk this year are becoming increasingly slim.

CLARITY Act Would Be ‘Good For The Banks’

Armstrong told Politico that it was “kind of sad” to hear Dimon call him “full of shit.” He said he has “a lot of respect for Jamie Dimon,” adding that while they disagree on the crypto bill, he still respects the banker personally.

Coinbase CEO said he believes the regulatory framework in the CLARITY Act would ultimately be beneficial for traditional banks, and he was surprised by Dimon’s tone. He suggested that the level of intensity in public commentary can blur nuance, saying, “When people communicate through the media, nuance gets lost.”

Armstrong further argued that the bill could be helpful beyond Wall Street—stating that it would be “great for crypto companies as well.” In his view, the goal should be to move past rigid positions and focus on getting the legislation “over the finish line.”

The exchange comes after NewsBTC reported on Dimon’s comments, in which he said banks “will not accept” the CLARITY Act in its current form.

Dimon also suggested that efforts by crypto supporters were unlikely to build a broad consensus with traditional financial institutions, warning that there would be continued resistance rather than convergence.

He said the act would be fought and added that no one would “bow down” to either Armstrong or crypto-related figures, arguing that someone associated with the lobbying push was spending “hundreds of millions of dollars in Washington” on the legislation.

Midterms Reduce Chances This Year

In the Politico interview, Armstrong said he was “a little perplexed by that,” and reiterated that he believes the CLARITY Act would help the banking sector and create clearer rules for the crypto industry.

Rather than treating the debate as a matter of winning or losing, Armstrong framed it as a test of whether lawmakers can complete the process and finalize the bill.

Nevertheless, when JPMorgan analysts consider the timing of the bill, they conclude that constraints are tightening rather than easing. They argue that it is becoming increasingly difficult to pass and fully approve the crypto bill in time this year, especially with the midterm elections approaching.

The analysts pointed to several factors that could slow progress, including the debate over stablecoin yields and the remaining legislative hurdles, such as the ethics provision related to President Trump’s links to the industry.

The daily chart shows the exchange’s stock, COIN, and its retrace to $163 on Thursday. Source: COIN on TradingView.com

Featured image created with OpenArt; chart from TradingView.com

Preguntas relacionadas

QWhat is the main topic of disagreement between Coinbase CEO Brian Armstrong and JPMorgan Chase CEO Jamie Dimon?

AThey disagree on the CLARITY Act, a proposed crypto regulatory bill. Armstrong believes it would be beneficial for both crypto companies and traditional banks, while Dimon and JPMorgan are strongly opposed to it in its current form.

QAccording to JPMorgan analysts, why are the chances of the CLARITY Act passing in 2026 becoming slim?

AJPMorgan analysts cite several factors, including the approaching midterm elections, debates over stablecoin yields, and remaining legislative hurdles like the ethics provision related to President Trump's links to the crypto industry.

QHow did Brian Armstrong characterize Jamie Dimon's public criticism of him?

AArmstrong said it was 'kind of sad' to hear Dimon call him 'full of shit.' He expressed respect for Dimon personally but noted that public commentary through media often loses nuance.

QWhat did Jamie Dimon suggest about the efforts of crypto supporters to pass the CLARITY Act?

ADimon suggested that crypto supporters' efforts were unlikely to build a broad consensus with traditional financial institutions. He warned of continued resistance, stating that no one would 'bow down' to crypto figures and that the act would be fought.

QHow does Brian Armstrong frame the debate over the CLARITY Act, according to the article?

AArmstrong frames the debate not as a matter of winning or losing, but as a test of whether lawmakers can complete the legislative process and get the bill 'over the finish line' to create clearer rules for the industry.

Lecturas Relacionadas

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.

marsbitHace 3 min(s)

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

marsbitHace 3 min(s)

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.

marsbitHace 3 min(s)

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

marsbitHace 3 min(s)

Trading

Spot
活动图片