下一任美联储主席,两个「凯文」激斗,贝森特坐山观虎

深潮Publicado a 2025-07-09Actualizado a 2025-07-09

美国国家经济委员会主任 Kevin Hassett 和前美联储理事 Kevin Warsh 正在激烈竞争美联储主席的职位,而美国财长贝森特被传可能既想担任财政部长,又觊觎美联储主席之位。

撰文:李笑寅,华尔街见闻

在特朗普的高调选拔中,下一任美联储主席的角逐正成为一场戏剧化的权力游戏。

据媒体报道,美国国家经济委员会主任凯文·哈塞特(Kevin Hassett)和前美联储理事凯文·沃什(Kevin Warsh)——两位「凯文」正在激烈竞争美联储主席这一关键职位。

据媒体援引知情人士透露,哈塞特的势头正在迅速崛起,而沃什这位早期热门人选则开始面临质疑。

最新动态显示,哈塞特作为特朗普核心经济顾问,已在 6 月与总统至少两次会面讨论美联储主席一职;而沃什虽是早期热门,却因未获特朗普内圈信任及其「鹰派」背景而面临质疑。

有「新美联储通讯社」之称的资深联储报道记者 Nick Timiraos 也发推表示,哈塞特正和沃什就这一职位展开激烈竞争。

与此同时,美国财长贝森特被传可能既想担任财政部长,又觊觎美联储主席之位,甚至有传言称特朗普曾提出让他身兼两职。

哈塞特:经济圈「老臣」,似为迎合特朗普「转变立场」

63 岁的哈塞特是一位学术派经济学家,曾在上世纪 90 年代就职于美联储,拥有深厚的理论背景。

过去八年间,他一直是特朗普经济团队的核心成员,曾在特朗普第一任期内两度任职,并适应性地调整立场以迎合特朗普。

据知情人士向媒体透露,哈塞特近期从「不感兴趣」转为明确表示若获提名将接受主席之位。

他的公开立场也出现明显转变。他曾宣称自己的工作是「提醒人们尊重美联储的独立性」,但最近成为鲍威尔最严厉的批评者之一,指控美联储基于党派立场而非经济数据做决定。

在 6 月末的一次电视采访中,哈塞特曾称鲍威尔「与民主党联手」帮助竞选对手:

「鲍威尔在大选前夕降息以帮助哈里斯。」

而在去年秋天,哈塞特曾对美联储 9 月降息给出了善意的评价,称政策制定者应该根据其决策时掌握的信息进行评级,称此次降息「根据当时掌握的数据来看非常合理」。

沃什:精英背景,正试图重塑鹰派形象

55 岁的沃什曾是美联储理事,拥有高端金融圈背景,与亿万富翁 Ronald Lauder 家族联姻,并与传统共和党人如 Paul Ryan 关系密切。

作为前总统布什的顾问,沃什过去十年是自由贸易的积极支持者,这既是他的优势,也是特朗普对其信任的障碍。

最近几周,沃什试图重新包装其长期支持的通胀导向或「鹰派」货币政策。

在多次演讲和周一的福克斯采访中,沃什建议如果与贝森特合作缩减其持有的约 6.2 万亿美元国债和抵押贷款支持证券,美联储可以更激进地降息。

报道称,他本月计划前往华盛顿与贝森特会面讨论主席职位,其与特朗普的长期联系和电视形象可能成为加分项。

贝森特:身处微妙位置,即是顾问也是候选人

财政部长贝森特在这场主席角逐中扮演着独特角色。

据知情人士透露,特朗普曾向贝森特表示希望他成为下一任美联储主席,甚至一度提出让他兼任财政部长和美联储主席,尽管后者是否为认真提议尚不明朗。

贝森特本人曾建议特朗普考虑现任美联储理事沃勒和鲍曼为主席候选人,这两位均为特朗普任命,但目前被视为小概率人选。

媒体分析称,贝森特这一表态可能进一步加剧美联储内部的分歧,尤其考虑到沃勒和鲍曼近期表示可能在本月会议上投票支持降息,与鲍威尔立场相左。

贝森特对鲍威尔的态度也颇具戏剧性。

4 月时,他曾称美联储独立性是「需珍藏的珠宝盒」,但到了 6 月末,他却对投资者嘲讽鲍威尔谨慎的降息策略,称其如「摔倒后总是低头走路的老者」。

据知情人士透露,他还关注鲍威尔在主席任期结束后是否会继续留任理事至 2028 年 1 月,认为这是鲍威尔维护美联储独立性的最后筹码。

特朗普对主席人选的明确期待:降息优先

特朗普与现任主席鲍威尔的矛盾是这场角逐的导火索。

此前,他已多次公开表示不满,认为美联储未能有效应对其关税政策可能引发的通胀风险,同时指责高利率政策阻碍经济增长。

特朗普还明确表示,期望下任美联储主席能迅速开启降息,这比他首个任期时的条件更加明确。

市场分析人士指出,这种公开对立可能进一步削弱美联储的独立性,若新主席过于迎合特朗普的降息需求,可能引发市场对通胀预期的担忧。

鲍威尔作为美联储主席的任期将于明年 5 月结束,他作为美联储理事会成员的任期将持续至 2028 年 1 月,市场猜测特朗普可能会在鲍威尔卸任前提前宣布继任者。

媒体透露,特朗普顾问们曾探讨的一种可能性是,用明年 2 月一个空缺的理事席位将哈塞特安排进美联储董事会,随后再决定由他或沃勒接任主席。

Lecturas Relacionadas

Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

A mysterious anonymous AI model named "Ox Alpha," nicknamed "Cow is Coming" by Chinese netizens, has appeared on OpenRouter, sparking widespread speculation. The model offers a 1 million token context, supports text, image, and video inputs, can call tools, and is currently free. Its standout feature is strong coding ability. Initial tests on the DeepSWE benchmark, which evaluates real-world software engineering tasks, showed an 80% pass rate on a subset of tasks, reportedly nearing top-tier code models. However, follow-up tests yielded a 63% score, with variations attributed to different task sets and configurations. The model's true developer is a major topic of debate. The prevailing theory points to Zhipu AI's unreleased GLM-5.3 Flash or its multimodal variant. Evidence cited includes identical visual token consumption patterns with GLM-5V-Turbo for videos, a consistent offset in text token counts compared to GLM-5.3, and similar behavioral traits like refusing audio processing. Zhipu has a precedent of anonymous testing. Simultaneously, another anonymous model, "korrine," appeared on Code Arena, with guesses ranging from Moonshot's Kimi K3.1 to models from Qwen or MiMo, adding to the industry's guessing game. This trend of anonymous "undercover" testing allows for unbiased performance evaluation in platforms like Arena and provides real-world, high-pressure testing through tools like OpenRouter before official release. It also serves as an effective marketing tactic, prolonging discussion through suspense. If Ox Alpha is indeed a "Flash" model, its performance raises expectations for the full-scale version's potential.

marsbitHace 3 hora(s)

Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

marsbitHace 3 hora(s)

Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

DeepSeek has announced a significant change to its API pricing model, effective August 23. The new policy removes peak/off-peak distinctions on weekends (Saturdays and Sundays), charging the lower off-peak rate for the entire two-day period. This adjustment has sparked mixed reactions within the developer and professional communities. For developers and businesses heavily reliant on DeepSeek's V4-Flash and V4-Pro APIs, this is welcome news. It allows them to schedule bulk processing tasks on weekends without the higher peak-hour costs, potentially halving their API bills for such workloads. Some users have celebrated the move for making weekend work more cost-effective. However, the announcement has also raised concerns among employees. There is apprehension that companies, particularly in cost-sensitive sectors like AI-powered short drama production, might reorganize work schedules to align with these new cost incentives. Instances are already emerging where teams schedule high-token tasks during cheaper nighttime hours or adjust staff shifts. This has led to worries about a potential shift towards weekend workdays and weekday time-off, prioritizing cost savings over traditional work-life balance. Debate has ensued regarding the practicality of such schedule changes, with questions about increased communication overhead and overall efficiency. Speculation about DeepSeek's motives for the change includes theories that peak pricing correlates with internal model training schedules, though others counter that training is largely automated. The new pricing structure is now in effect, prompting users to reconsider their task scheduling strategies.

marsbitHace 4 hora(s)

Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

marsbitHace 4 hora(s)

Just Now, The World's First Human vs. Robot Tennis Match Begins, Robot's Desperate Save Leaves Zheng Jie Astonished

Just now, the world's first human vs. robot tennis match began, featuring stunning robotic saves that left tennis star Zheng Jie in awe. This historic event, part of the second World Humanoid Robot Games and broadcast live globally by China Media Group, marked a pivotal moment in Chinese technological innovation and embodied artificial intelligence. The match featured both mixed human-robot doubles and a groundbreaking singles match between Zheng Jie and the "Galaxy Xingzai" humanoid robot developed by Galaxy General. The robot demonstrated impressive skills including serving, forehands, backhands, and strategic court movement, with serves exceeding 100 km/h. It exhibited remarkable adaptability, recovering from a fall to continue play and handling slices and spins. The doubles match highlighted its ability to coordinate dynamically with a human partner. The event's significance extends far beyond a novelty match. Tennis represents an ultimate pressure test for embodied AI, demanding real-time integration of perception, decision-making, full-body motion control, and live博弈 within fractions of a second—a stark contrast to the discrete, contemplative environment of board games like Go mastered by AlphaGo. It directly confronts Moravec's paradox, showcasing AI's move from digital cognition to physical execution. This capability is powered by Galaxy General's proprietary "Galaxy Star Brain" (AstraBrain) model. Its key innovation is a unified architecture that integrates high-level task understanding/tactical decision-making ("brain") and dynamic whole-body motion control ("cerebellum") into a single model, eliminating latency and information loss between separate modules. The model was trained using a two-step process via the "Galaxy Star Workshop" platform. First, it learned foundational movement priors from "imperfect" human motion data (both amateur and professional). Second, it underwent massive-scale evolution in a virtual tennis simulator where multiple AI agents played millions of games against each other. Through this adversarial training, skills like极限救球and recovery from falls emerged autonomously without explicit programming, before being transferred to the physical robot. This "AstraTennis" moment symbolizes a major leap: a decade after AlphaGo conquered the digital world, embodied AI from China has now demonstrated it can operate under the extreme, unpredictable physical pressures of real-world competition.

marsbitHace 4 hora(s)

Just Now, The World's First Human vs. Robot Tennis Match Begins, Robot's Desperate Save Leaves Zheng Jie Astonished

marsbitHace 4 hora(s)

Trading

Spot
活动图片