Trump After Federal Reserve Governor Lisa Cook, Where Does Crypto Market Stand?

TheNewsCryptoPublicado a 2026-01-22Actualizado a 2026-01-22

Resumen

US President Donald Trump is reportedly seeking to remove Federal Reserve Governor Lisa Cook before her term ends in 2038, a move the US Supreme Court warns could undermine the central bank's independence and trigger an economic crisis. This follows similar threats against Fed Chair Jerome Powell, whom Trump previously targeted for not cutting interest rates. For the crypto market, these developments are critical as they influence expectations around rate cuts. While lower rates could boost cryptocurrency prices, the Fed's current stance remains focused on balancing inflation and growth, with little indication of imminent cuts. The outcome of these conflicts may significantly impact crypto market volatility.

US President Donald Trump is reportedly chasing the ouster of the Federal Reserve Governor. The US Supreme Court has weighed in by flagging risks associated with it. This comes after reports emerged about Trump going after the Fed Chair. For the crypto market, any movement in this context could cause an imbalance in inflation, growth, and thereby volatility.

Trump Vs. Lisa Cook

Donald Trump is looking to fire Lisa Cook before her term ends. However, the US Supreme Court has flagged that such a move could put a dent on the independence of the central bank. Moreover, firing Cook could trigger a real-world economic crisis.

According to a report by Reuters, such an interference by the US President would potentially open the door to removing policymakers without following any prescribed order. Justice Brett Kavanaugh argued with Solicitor General D. John Sauer, saying that the absence of judicial review or any other process could lead to a search-and-destroy mission.

Lisa Cook assumed her position in 2022 under the Biden Administration, with the tenure scheduled to last till 2038.

Trump Vs. Jerome Powell

This is not the first time that Donald Trump has gone after someone in the US Federal Reserve. He earlier targeted the Fed Chair Jerome Powell, threatening to launch a criminal investigation via the Department of Justice (DoJ). Powell defended his position, citing that it was a tactic to pressure him into cutting rates.

Notably, Jerome Powell gained support from the heads of top banks like the Bank of England, the European Central Bank, and the Bank of Canada.

A case against Lisa Cook is reportedly on the same line. Trump earlier pointed out that he would install someone with the same thought process – hinting that the next hire could cut rates instead of defending them like Powell has done. For Cook, Trump has cited mortgage fraud allegations to make her ouster happen.

What’s For Crypto Market?

Most of the fuss is over rate cuts. Currently, there is little to no chance that the US Federal Reserve will cut rates. They could stay the same given the central bank is tasked to balance inflation, growth, and the employment rate, among other factors.

A rate cut could accelerate the price surge for cryptocurrencies, but it is also likely to influence the inflation rate, which increased slightly to 2.71% in December 2025. Thereby affecting crypto prices eventually. Moreover, employment rate and job growth rate have sent mixed signals to convince a rate cut.

Suffice it to say, what happens next in Trump vs Cook and/or Trump vs Powell could carve the movement of crypto prices on the charts.

Highlighted Crypto News Today:

Strive Targets $150M Raise to Cut Debt and Buy More Bitcoin

TagsCrypto MarketFederal ReserveJerome Powelllisa cookTRUMP

Preguntas relacionadas

QWhat is the potential impact of Trump's attempt to remove Federal Reserve Governor Lisa Cook on the crypto market?

AAny movement in this context could cause an imbalance in inflation, growth, and thereby increase volatility in the crypto market.

QWhat reason did the US Supreme Court cite for flagging risks associated with Trump's move against Lisa Cook?

AThe US Supreme Court flagged that such a move could damage the independence of the central bank and potentially trigger a real-world economic crisis.

QHow did Jerome Powell, the Fed Chair, respond to earlier targeting by Donald Trump?

AJerome Powell defended his position, citing that Trump's threats were a tactic to pressure him into cutting interest rates.

QWhat is the current stance of the US Federal Reserve on interest rate cuts, and how does it relate to crypto?

ACurrently, there is little to no chance that the US Federal Reserve will cut rates. A rate cut could accelerate the price surge for cryptocurrencies but is also likely to influence the inflation rate, thereby affecting crypto prices.

QWhat specific allegation has Trump used to justify the ouster of Lisa Cook?

ATrump has cited mortgage fraud allegations to justify the ouster of Lisa Cook.

Lecturas Relacionadas

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.

marsbitHace 1 hora(s)

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

marsbitHace 1 hora(s)

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 1 hora(s)

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

marsbitHace 1 hora(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 1 hora(s)

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

marsbitHace 1 hora(s)

Trading

Spot
活动图片