US Fed Chair Jerome Powell Gets Global Support, No Rate Cut Likely

TheNewsCryptoPublicado a 2026-01-13Actualizado a 2026-01-13

Resumen

US Federal Reserve Chair Jerome Powell has received strong backing from global central bankers, including the heads of the Bank of England, the European Central Bank, and the Bank of Canada. They emphasized the importance of central bank independence for economic stability. This support comes amid ongoing tension with former President Donald Trump over interest rate policies. According to market predictions, there is a 94.5% chance the Fed will not cut rates in the upcoming January meeting. The last rate cut occurred in December 2025, reducing the lending rate to 3.5%-3.75%. Powell has stated that recent legal scrutiny may be an attempt to undermine the Fed’s independence.

The US Fed Chair Jerome Powell has received support from global central bankers. This comes amid the rising tension between him and US President Donald Trump. Support in such a large number has triggered anticipation of no rate cut in the January meeting. Thereby affecting the crypto market to some extent.

Support Flows for US Fed Chair Jerome Powell

Over eight heads of global institutions have backed the actions of US Fed Chair Jerome Powell. They have said that he acted with integrity, adding that the US Federal Reserve was independent in keeping prices plus financial markets stable. Some of the supportive bankers are the heads of the Bank of England, the European Central Bank, and the Bank of Canada.

A joint statement issued by them underlines that all of them stand in full solidarity, highlighting that the independence of a central bank is always a cornerstone to stability in price, economy, and finance.

Notably, this is not the first time Trump has had a feud with Powell regarding a rate cut. A report from last year shows a similar pattern where the US President criticized Jerome for refusing to cut rates.

What Happens to the Fed Rate Cut Now?

There is a 94.5% chance for the Fed Reserve to not change rates, according to Polymarket. The central bank last slashed rates in December 2025 by 25 bps. This brought the lending rate down to the range of 3.5% and 3.75%. Similar reductions were done in September and October 2025.

Additionally, there is a 5.3% chance for a 25 bps reduction and less than 1% chance for a 50 bps reduction.

Slashing lending rates, for a quick reference, increases borrowing power – allowing markets to make more investments in different sectors, including the crypto segment. However, it often triggers nationwide inflation, which, for the US, last dropped to 6.89% in November 2025. This was down from 3.01% in September 2025.

The Trump-Powell Feud

Powell, in a recent report, stated that his indictment was possibly due to refusing rate cuts after the January meeting. Like last year, it is reported that Trump insisted on slashing the rate again in January 2026; however, Powell disagreed by citing that the agency would only take decisions based on its assessment.

For now, the Department of Justice (DoJ) is probing the case, and prosecutors are scrutinizing renovations along with his testimony. Jerome has also claimed that this is an attempt to weaken the independence of the US central bank.

Highlighted Crypto News Today:

Eric Adams’ Solana Meme Coin NYC Crashes After $580M Peak

TagsJerome Powellrate cutUS Federal

Preguntas relacionadas

QWhy did global central bankers express support for US Fed Chair Jerome Powell?

AGlobal central bankers expressed support for Jerome Powell because they believe he acted with integrity and that the US Federal Reserve's independence is crucial for maintaining price and financial market stability.

QWhat is the market's expectation for the Fed's interest rate decision in the January meeting according to Polymarket?

AAccording to Polymarket, there is a 94.5% chance that the Fed will not change interest rates in the January meeting.

QHow does slashing lending rates affect the economy and the crypto market?

ASlashing lending rates increases borrowing power, which allows markets to make more investments in various sectors, including the crypto segment. However, it can also trigger nationwide inflation.

QWhat was the reason behind the recent feud between Donald Trump and Jerome Powell?

AThe recent feud between Donald Trump and Jerome Powell arose because Trump insisted on cutting interest rates again in January 2026, but Powell refused, stating that the Federal Reserve would only make decisions based on its own assessment.

QWhat did Jerome Powell claim about the indictment against him?

AJerome Powell claimed that his indictment was possibly due to his refusal to cut interest rates after the January meeting and that it was an attempt to weaken the independence of the US central bank.

Lecturas Relacionadas

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbitHace 13 hora(s)

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbitHace 13 hora(s)

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbitHace 14 hora(s)

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbitHace 14 hora(s)

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbitHace 15 hora(s)

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbitHace 15 hora(s)

Trading

Spot
Futuros
活动图片