Powell: Weakening Employment, Inflation Still High, No One Talks About Rate Hikes Now

marsbitPubblicato 2025-12-11Pubblicato ultima volta 2025-12-11

Introduzione

In his latest address, Federal Reserve Chair Powell highlighted a noticeable cooling in the U.S. labor market, marked by slower hiring and reduced layoffs, declining challenges in recruitment, and diminished household expectations for job opportunities. The unemployment rate has risen to approximately 4.4%, with employment gains significantly weaker than at the start of the year. This slowdown stems partly from reduced labor supply—due to decreased immigration and lower participation rates—but also reflects weakening labor demand itself. On inflation, core PCE remains at 2.8% year-on-year, above the long-term 2% target. While goods inflation has edged up due to tariffs, service inflation continues to moderate. Although overall inflation has declined substantially from its 2022 peak, it has not yet reached a level that fully assures the Fed. The FOMC responded by cutting rates by 25 basis points and initiating short-term Treasury purchases to maintain ample reserves and ensure effective policy transmission. Powell emphasized that, with rising employment risks and persistently elevated inflation, there is no "risk-free" policy path. The Fed must carefully balance its dual mandate constraints. He noted that interest rates are nearing a neutral range, and future policy decisions will be data-dependent, avoiding preset directions and instead being assessed meeting by meeting based on economic conditions and risks.

At the latest press conference, Powell noted that the U.S. labor market is experiencing significant cooling: hiring and layoffs are slowing simultaneously, companies are finding it easier to recruit, households' expectations for job opportunities are declining, and the unemployment rate has risen to about 4.4%. Employment growth has weakened noticeably since the beginning of the year, partly due to a slowdown in labor supply, including reduced immigration and a decline in participation rates, but labor demand itself is also weakening.

Regarding inflation, core PCE remains at 2.8% year-on-year, above the long-term target of 2%. Some goods inflation has rebounded due to tariffs, but service inflation continues to show a slowing trend. Although overall inflation has fallen significantly from the 2022 peak, it has not yet reached a level that would fully reassure the Fed. The FOMC cut rates by 25 basis points again and initiated short-term Treasury purchases to maintain ample reserves and ensure the effective operation of policy rates.

Powell emphasized that against the backdrop of rising employment risks and still-high inflation, there is no "risk-free option" for the policy path. The Fed must strike a more delicate balance under the constraints of its dual mandate. He stated that interest rates are nearing the neutral range, and policy will not be preset in the future but will be judged meeting by meeting based on economic data and risk conditions.

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Domande pertinenti

QWhat did Powell say about the current state of the US labor market?

APowell noted that the US labor market is cooling significantly, with hiring and layoffs slowing simultaneously, reduced difficulty for companies in recruiting, declining household expectations for job opportunities, and the unemployment rate rising to about 4.4%.

QWhat is the current core PCE inflation rate and how does it compare to the long-term target?

AThe core PCE inflation rate is currently at 2.8% year-on-year, which is above the long-term target of 2%.

QWhat two key monetary policy actions did the FOMC take at this meeting?

AThe FOMC cut interest rates by 25 basis points and initiated short-term Treasury purchases to maintain ample reserves and ensure the effective operation of policy rates.

QAccording to Powell, what is the main challenge for the Fed's policy path given the current economic conditions?

APowell emphasized that with rising employment risks and inflation still elevated, there is no 'risk-free option,' and the Fed must perform a more delicate balancing act under the constraints of its dual mandate.

QWhat is the Fed's approach to future policy direction as stated by Powell?

APowell stated that interest rates are near the neutral range and that future policy will not be pre-set, but will instead be judged meeting-by-meeting based on economic data and risk assessments.

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7 Months After the Collapse of Huiwang, Southeast Asia's Escrow Platforms Undergo a Major Reshuffle

Following the collapse of Huione Pay—dubbed the "Alipay of Southeast Asia"—seven months ago, the region's underground financial guarantee platform sector is undergoing a significant reshuffle. This power vacuum has been swiftly filled by emerging platforms such as XinBi, Tiger/Navigator, JinBei (renamed JinBo), Dali/Tiancheng, and FullyLight. These platforms, operating largely via Telegram and offering services like escrow for illicit transactions, have absorbed the vast user base and markets left behind by Huione. While positioning themselves as "trust intermediaries," their primary clientele consists of networks involved in online scams, money laundering, illegal gambling, and even human trafficking. For instance, the Tiger/Navigator platform explicitly provides "escrow" services for kidnapping-for-ransom operations ("强押车交易"). Data underscores the immense scale: Huione alone processed over $103 billion in cryptocurrency payments and facilitated over $31 billion through its escrow market before its downfall, linking it to Cambodia's notorious Prince Group. Since its collapse, competitors have seen explosive growth. For example, the XinBi platform has accumulated over $1.6 billion in total USDT revenue, while platforms like NewPay, OkPay (under Dali), and FullyLight Wallet collectively processed over $4.8 billion in USDT in a single year. This ecosystem thrives in regions like Cambodia and Myanmar, where regulatory gaps allow these platforms to act as critical financial infrastructure for sprawling cybercrime industries, from scam compounds to online casinos. The article concludes that the moniker "Southeast Asian Alipay" is a misnomer, obscuring the platforms' fundamental role in enabling serious criminal enterprises rather than representing legitimate financial innovation.

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The Changing Landscape: What Are Crypto VCs Experiencing?

Title: The Shifting Landscape of Crypto Venture Capital The era of dedicated crypto venture capital funds is undergoing a significant transformation. Once essential for navigating the sector's complexity and high risk, these specialized funds are now facing an identity crisis as the market matures. This shift mirrors historical patterns in other specialized investment classes like cleantech and SPACs, where initial information advantages dissipate as technologies become mainstream and integrated into existing industry frameworks. The article argues that crypto is reaching a critical inflection point, transitioning from a "building phase" to an "integration phase." Major players like Stripe, BlackRock, and Visa now engage with crypto not for its novel mechanics but as a foundational financial infrastructure. Their needs—regulatory compliance, banking partnerships, distribution channels—align with traditional fintech, a domain easily understood by large, generalist funds like Sequoia and Founders Fund. This evolution creates a "barbell effect" within the VC landscape. On one end are massive, diversified platforms that can incorporate crypto as one vertical among many. On the other are small, nimble funds focused on niche, experimental projects. The middle ground—medium-sized dedicated crypto funds—is being squeezed out. Their typical fund size makes it impossible to generate sufficient returns solely from early-stage crypto bets, yet they cannot compete with giants for later-stage deals. Consequently, leading crypto-native firms like Paradigm and Framework Ventures are expanding into AI, robotics, and other sectors, driven partly by LP pressure for better returns amid a broader VC DPI crisis. Others, like Dragonfly and a16z, have narrowed their crypto focus predominantly to financial infrastructure like stablecoins, reframing the sector's core narrative. For crypto entrepreneurs, this consolidation presents challenges. While generalist funds offer larger checks and broader resources, crypto projects now compete fiercely with AI for attention and capital within these firms. Furthermore, the long-term, non-commercial foundational work that built the ecosystem—funded by dedicated crypto VCs—is less likely to attract generalist capital focused on direct returns. The conclusion is that "crypto investor" as a standalone category is becoming obsolete, akin to "internet investor." Crypto is becoming a baseline infrastructure layer. The future will see a barbell structure: large-scale growth financing handled by generalist funds, while pioneering, speculative projects are funded by small, specialized vehicles. The dedicated crypto funds of the 2017-2021 boom, which incubated core infrastructure, are giving way to this new, bifurcated reality.

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Title: As Consensus Forms Faster, What Are Young Investors Betting On? In the rapid evolution of tech investment, a new generation of young investors is navigating a landscape where AI, robotics, commercial aerospace, and quantum computing are advancing simultaneously. Traditional investment logic based on financial models is giving way to a need for deep technical understanding and the ability to act before industry consensus forms. An analysis of trends from the "WAIC FUTURE TECH" list of young investment leaders reveals key shifts in focus. The first major trend is the movement of AI from the digital screen into the physical world. Investment is shifting from large language models and chatbots towards embodied AI, robotics, AI hardware, and edge computing. While demonstrations generate excitement, the real challenge lies in achieving scalable, reliable, and cost-effective delivery in complex real-world environments like factories and logistics. Success depends not just on algorithms but on the integration of sensors, actuators, and control systems. Second, the competitive focus for large models is moving beyond raw capability toward building an "intelligence flywheel." The goal is to create self-reinforcing systems where user interaction generates data, improving the model, which in turn enhances the user experience and attracts more engagement. Companies that successfully embed AI into workflows to create these closed-loop systems can build lasting value that isn't easily erased by the next model upgrade. Third, facing a potential bottleneck in high-quality human-generated data, investors are looking at new underlying technologies. Reinforcement learning and self-play, as demonstrated by AlphaGo Zero, offer paths for AI to generate its own experience. Scientific foundation models, which aim to build general AI capabilities for fields like life sciences and materials discovery, represent a non-consensus direction that could unlock new frontiers of knowledge and data. Finally, in deep-tech areas like quantum computing, commercial aerospace, and space-based infrastructure, patient capital is essential. These fields have long, uncertain development and validation cycles involving complex engineering, supply chains, and regulations. Investment here requires a long-term view, focusing on foundational team capabilities and the eventual emergence of market demand, even if commercial returns are distant. Collectively, these trends illustrate how young investors are adapting to a new era. They are learning to make earlier, technically-informed judgments, balance hype with real-world viability, and provide the patient capital needed to build the deep-tech foundations of the future.

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