The post Fed split deepens as policymakers debate pace of rate cuts under Trump economy appeared on BitcoinEthereumNews.com. The Federal Reserve is entering another week of open disagreement, with officials divided over how much to ease policy as the economy cools under President Donald Trump’s second term. According to Bloomberg, the Fed is widely expected to deliver a second consecutive rate cut this week to support a labor market that has been losing steam. But the battle lines are already drawn: the dovish side wants deeper cuts to prevent further job losses, while the hawkish camp warns that too much easing could reignite inflation. Friday’s data on consumer prices showed inflation rising at its slowest pace in three months. That provided cover for a near-term rate cut, but it didn’t offer much comfort to those worried that price pressures are still stuck. Nicole Cervi, an economist at Wells Fargo, said, “This keeps the Fed in an easing bias in October, but the underlying picture hasn’t really changed on inflation.” For now, that’s the quiet confession, nothing has fundamentally shifted. Officials weigh more cuts amid weak labor data The Fed had spent most of the year on hold, watching how tariffs and other policy changes were filtering into the economy. When hiring slumped sharply over the summer, officials cut the benchmark rate by a quarter percentage point in September and penciled in two more cuts by December. Since then, the data (pieced together from private-sector sources because of the ongoing government shutdown) has remained grim. Chair Jerome Powell told reporters earlier this month that the labor market had “actually softened pretty considerably” and highlighted “pretty significant downside risks.” That comment reinforced market expectations. Futures traders are now almost fully pricing in a quarter-point cut this week, another in December, and a third by March. Investors have already celebrated. The $29 trillion Treasury market is posting its strongest year since… The post Fed split deepens as policymakers debate pace of rate cuts under Trump economy appeared on BitcoinEthereumNews.com. The Federal Reserve is entering another week of open disagreement, with officials divided over how much to ease policy as the economy cools under President Donald Trump’s second term. According to Bloomberg, the Fed is widely expected to deliver a second consecutive rate cut this week to support a labor market that has been losing steam. But the battle lines are already drawn: the dovish side wants deeper cuts to prevent further job losses, while the hawkish camp warns that too much easing could reignite inflation. Friday’s data on consumer prices showed inflation rising at its slowest pace in three months. That provided cover for a near-term rate cut, but it didn’t offer much comfort to those worried that price pressures are still stuck. Nicole Cervi, an economist at Wells Fargo, said, “This keeps the Fed in an easing bias in October, but the underlying picture hasn’t really changed on inflation.” For now, that’s the quiet confession, nothing has fundamentally shifted. Officials weigh more cuts amid weak labor data The Fed had spent most of the year on hold, watching how tariffs and other policy changes were filtering into the economy. When hiring slumped sharply over the summer, officials cut the benchmark rate by a quarter percentage point in September and penciled in two more cuts by December. Since then, the data (pieced together from private-sector sources because of the ongoing government shutdown) has remained grim. Chair Jerome Powell told reporters earlier this month that the labor market had “actually softened pretty considerably” and highlighted “pretty significant downside risks.” That comment reinforced market expectations. Futures traders are now almost fully pricing in a quarter-point cut this week, another in December, and a third by March. Investors have already celebrated. The $29 trillion Treasury market is posting its strongest year since…

Fed split deepens as policymakers debate pace of rate cuts under Trump economy

2025/10/27 05:40

The Federal Reserve is entering another week of open disagreement, with officials divided over how much to ease policy as the economy cools under President Donald Trump’s second term.

According to Bloomberg, the Fed is widely expected to deliver a second consecutive rate cut this week to support a labor market that has been losing steam.

But the battle lines are already drawn: the dovish side wants deeper cuts to prevent further job losses, while the hawkish camp warns that too much easing could reignite inflation.

Friday’s data on consumer prices showed inflation rising at its slowest pace in three months. That provided cover for a near-term rate cut, but it didn’t offer much comfort to those worried that price pressures are still stuck.

Nicole Cervi, an economist at Wells Fargo, said, “This keeps the Fed in an easing bias in October, but the underlying picture hasn’t really changed on inflation.” For now, that’s the quiet confession, nothing has fundamentally shifted.

Officials weigh more cuts amid weak labor data

The Fed had spent most of the year on hold, watching how tariffs and other policy changes were filtering into the economy.

When hiring slumped sharply over the summer, officials cut the benchmark rate by a quarter percentage point in September and penciled in two more cuts by December. Since then, the data (pieced together from private-sector sources because of the ongoing government shutdown) has remained grim.

Chair Jerome Powell told reporters earlier this month that the labor market had “actually softened pretty considerably” and highlighted “pretty significant downside risks.” That comment reinforced market expectations.

Futures traders are now almost fully pricing in a quarter-point cut this week, another in December, and a third by March.

Investors have already celebrated. The $29 trillion Treasury market is posting its strongest year since 2020, up 1.1% this month on expectations of more cuts.

The 10-year yield has dropped below 4%, levels last seen in April, extending a rally that’s boosted everything from mortgage bonds to credit card rates.

“It’s going to be very difficult to walk away from the 50 basis points priced in today for the next two meetings,” said Vishal Khanduja, who oversees fixed income at Morgan Stanley Investment Management.

Stephen Stanley from Santander US Capital Markets added that “there’s been no explicit pushback at all from the leadership at the Fed.” That could change soon, though, as regional voices get louder.

Hawks warn of inflation risks beyond tariffs

Resistance is forming within the Fed, led by Alberto Musalem in St. Louis, Jeff Schmid in Kansas City, and Beth Hammack in Cleveland.

These regional presidents argue that the bank is moving too fast. Of the 19 policymakers, 9 favored no more than one more cut this year, including 7 who preferred none at all. They supported the September cut because hiring had slowed, but they warn that the labor supply has also shrunk.

With immigration falling, fewer jobs are needed to keep unemployment steady. Job growth has averaged just 29,000 a month over the past three months; low, but still roughly the “breakeven” pace to maintain balance.

Those same officials now worry that price pressures are shifting beyond trade-sensitive sectors. Even though tariffs haven’t driven up prices as much as expected, new levies continue to be announced, raising fears of longer-lasting effects.

Hammack, who will get a voting seat next year on the rate-setting committee, warned about services inflation, noting that non-housing core services prices have stayed above 3% year-on-year for four straight months.

Other officials point to a bigger problem: inflation has been running above the Fed’s 2% goal for more than four years, and they don’t see that target being met until 2028. That’s a credibility nightmare waiting to happen.

Philadelphia Fed President Anna Paulson said this month, “The stability of longer-run inflation expectations is an important testament to the credibility of monetary policy. It’s critical to finish the job and return inflation all the way to 2%.”

Without fresh economic data due to the shutdown, many policymakers will likely stick to the September roadmap: two more cuts this year, and one more in 2026. Veronica Clark of Citigroup said, “There’s still a lot of division, but there won’t have been anything to really sway people either way.”

Even Governor Christopher Waller, one of the first to sound alarms about slowing hiring, has recently urged caution. “Something’s gotta give,” he said. “Either economic growth softens to match a soft labor market, or the labor market rebounds to match stronger economic growth.”

Get seen where it counts. Advertise in Cryptopolitan Research and reach crypto’s sharpest investors and builders.

Source: https://www.cryptopolitan.com/federal-reserve-splits-widen/

Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.
Share Insights

You May Also Like

IP Hits $11.75, HYPE Climbs to $55, BlockDAG Surpasses Both with $407M Presale Surge!

IP Hits $11.75, HYPE Climbs to $55, BlockDAG Surpasses Both with $407M Presale Surge!

The post IP Hits $11.75, HYPE Climbs to $55, BlockDAG Surpasses Both with $407M Presale Surge! appeared on BitcoinEthereumNews.com. Crypto News 17 September 2025 | 18:00 Discover why BlockDAG’s upcoming Awakening Testnet launch makes it the best crypto to buy today as Story (IP) price jumps to $11.75 and Hyperliquid hits new highs. Recent crypto market numbers show strength but also some limits. The Story (IP) price jump has been sharp, fueled by big buybacks and speculation, yet critics point out that revenue still lags far behind its valuation. The Hyperliquid (HYPE) price looks solid around the mid-$50s after a new all-time high, but questions remain about sustainability once the hype around USDH proposals cools down. So the obvious question is: why chase coins that are either stretched thin or at risk of retracing when you could back a network that’s already proving itself on the ground? That’s where BlockDAG comes in. While other chains are stuck dealing with validator congestion or outages, BlockDAG’s upcoming Awakening Testnet will be stress-testing its EVM-compatible smart chain with real miners before listing. For anyone looking for the best crypto coin to buy, the choice between waiting on fixes or joining live progress feels like an easy one. BlockDAG: Smart Chain Running Before Launch Ethereum continues to wrestle with gas congestion, and Solana is still known for network freezes, yet BlockDAG is already showing a different picture. Its upcoming Awakening Testnet, set to launch on September 25, isn’t just a demo; it’s a live rollout where the chain’s base protocols are being stress-tested with miners connected globally. EVM compatibility is active, account abstraction is built in, and tools like updated vesting contracts and Stratum integration are already functional. Instead of waiting for fixes like other networks, BlockDAG is proving its infrastructure in real time. What makes this even more important is that the technology is operational before the coin even hits exchanges. That…
Share
BitcoinEthereumNews2025/09/18 00:32
AI Labs: Mercor’s Bold Strategy Unlocks Priceless Industry Data

AI Labs: Mercor’s Bold Strategy Unlocks Priceless Industry Data

BitcoinWorld AI Labs: Mercor’s Bold Strategy Unlocks Priceless Industry Data In the dynamic landscape of technological advancement, innovation often emerges from unexpected intersections. While the spotlight at events like Bitcoin World Disrupt 2025 frequently shines on blockchain and decentralized finance, the recent revelations about Mercor’s groundbreaking approach to sourcing industry data for artificial intelligence development highlight how disruptive models are reshaping every sector. This fascinating development, discussed by Mercor CEO Brendan Foody at the prestigious Bitcoin World Disrupt event, showcases a novel method for AI labs to access the critical, real-world information that traditional companies are reluctant to share, fundamentally altering the competitive dynamics of the AI revolution. Unveiling Mercor’s Vision: A New Era for AI Labs The quest for high-quality, relevant data is the lifeblood of advanced artificial intelligence. Yet, obtaining this data, particularly from established industries, has historically been a significant bottleneck for AI labs. Traditional methods involve expensive contracts, lengthy negotiations, and often, outright refusal from companies wary of having their core operations automated or their proprietary information exposed. Mercor, however, has pioneered a different path. As Brendan Foody articulated at Bitcoin World Disrupt 2025, Mercor’s marketplace connects leading AI labs such as OpenAI, Anthropic, and Meta with former senior employees from some of the world’s most secretive sectors, including investment banking, consulting, and law. These experts, possessing invaluable insights gleaned from years within their respective fields, offer their corporate knowledge to train AI models. This innovative strategy allows AI developers to bypass the red tape and prohibitive costs associated with direct corporate data acquisition, accelerating the pace of AI innovation. The Genesis of Mercor: Bridging the Knowledge Gap At just 22 years old, co-founder Brendan Foody has steered Mercor to become a significant player in the AI data space. The startup’s model is straightforward yet powerful: it pays industry experts up to $200 an hour to complete structured forms and write detailed reports tailored for AI training. This expert-driven approach ensures that the data fed into AI models is not only accurate but also imbued with the nuanced understanding that only seasoned professionals can provide. The scale of Mercor’s operation is impressive. The company boasts tens of thousands of contractors and reportedly distributes over $1.5 million to them daily. Despite these substantial payouts, Mercor remains profitable, a testament to the immense value AI labs place on this specialized data. In less than three years, Mercor has achieved an annualized recurring revenue of approximately $500 million and recently secured funding at a staggering $10 billion valuation. The company’s rapid ascent was further bolstered by the addition of Sundeep Jain, Uber’s former chief product officer, as its president, signaling its ambition to scale even further. Navigating the Ethical Maze: Corporate Knowledge vs. Corporate Espionage Mercor’s model, while innovative, naturally raises questions about the distinction between an individual’s expertise and a company’s proprietary information. Foody acknowledged this delicate balance, emphasizing that Mercor strives to prevent corporate espionage. He argues that the knowledge residing in an employee’s head belongs to the employee, a perspective that diverges from many traditional corporate stances on intellectual property. However, the lines can blur. While contractors are instructed not to upload confidential documents from their former workplaces, Foody conceded that ‘things that happen’ are possible given the sheer volume of activity on the platform. The company’s job postings sometimes toe this line, for instance, seeking a CTO or co-founder who ‘can authorize access to a substantial, production codebase’ for AI evaluations or model training. This highlights the inherent tension in Mercor’s model: leveraging invaluable corporate knowledge without crossing into the realm of illicit data transfer. The High Stakes of Industry Data: Why Companies Resist Sharing The reluctance of established enterprises to share their internal industry data with AI developers is understandable. As Foody pointed out using Goldman Sachs as an example, these companies recognize that AI models capable of automating their value chains could fundamentally shift competitive dynamics, potentially disintermediating them from their customers. This fear of disruption drives their resistance to providing the very data that could fuel their own automation. Mercor’s success is a direct challenge to these incumbents, as their valuable corporate knowledge effectively ‘slips out the back door’ through former employees. Foody believes that companies fall into two categories: those that embrace this ‘new future of work’ and those that are fearful of being sidelined. His prediction is clear: the former category will ultimately be on ‘the right side of history,’ adapting to a rapidly changing technological landscape rather than resisting the inevitable. Revolutionizing AI Training: Mercor’s Expert-Driven Model The evolution of AI training data acquisition has seen a significant shift. Early in the AI boom, data vendors like Scale AI primarily hired contractors in developing countries for relatively simple labeling tasks. Mercor, however, was among the first to recruit highly-skilled knowledge workers in the U.S. and compensate them handsomely for their expertise. This focus on expert-driven AI training has proven critical for improving the sophistication and accuracy of AI models. Competitors like Surge AI and Scale AI have since recognized this need and are now also focusing on recruiting experts. Furthermore, many data vendors are developing ‘training environments’ to enhance AI agents’ ability to perform real-world tasks. Mercor has also benefited from the challenges faced by its competitors; for instance, many AI labs reportedly ceased working with Scale AI after Meta made a significant investment in the company and hired its CEO. Despite still being smaller than Surge and Scale AI (both valued at over $20 billion), Mercor has quintupled its value in the last year, demonstrating its powerful trajectory. Feature Mercor Scale AI / Surge AI (Early Model) Target Workforce Highly-skilled former industry experts General contractors, often in developing countries Data Type Complex industry knowledge, reports, forms, codebase access Simple labeling, data annotation Value Proposition Unlocks proprietary industry insights for AI automation Scalable, cost-effective basic data processing Compensation Up to $200/hour Lower hourly rates Beyond the Horizon: Mercor’s Future and the Gig Economy of Expertise While most of Mercor’s current revenue stems from a select few AI labs, Foody envisions a broader future. The startup plans to expand its partnerships into other sectors, anticipating that companies in law, finance, and medicine will seek assistance in leveraging their internal data to train AI agents. This specialization in extracting and structuring expert knowledge positions Mercor to play a crucial role in the widespread adoption of AI across various industries. Foody’s long-term vision is ambitious: he believes that advanced AI, like ChatGPT, will eventually surpass the capabilities of even the best human consulting firms, investment banks, and law firms. This transformation, he suggests, will radically reshape the economy, creating a ‘broadly positive force that helps to create abundance for everyone.’ Mercor, in this context, is not just a data provider but a facilitator of a new type of gig economy, one built on specialized expertise and akin to the transformative impact Uber had on transportation. The Bitcoin World Disrupt 2025 Insight The discussion surrounding Mercor at Bitcoin World Disrupt 2025 underscores the event’s role as a nexus for cutting-edge technological discourse. Held in San Francisco from October 27-29, 2025, the conference brought together a formidable lineup of founders, investors, and tech leaders from companies like Google Cloud, Netflix, Microsoft, a16z, and ElevenLabs. With over 250 heavy hitters leading more than 200 sessions, Bitcoin World Disrupt served as a vital platform for sharing insights that fuel startup growth and sharpen industry edge. The presence of Mercor’s CEO on a panel highlighted that the future of technology, including the critical area of AI training data, is a central theme even at events with a strong cryptocurrency focus, demonstrating the interconnectedness of modern innovation. FAQs About Mercor and AI Data Acquisition What is Mercor?Mercor is a startup that operates a marketplace connecting AI labs with former senior employees from various industries. These experts provide their specialized corporate knowledge to help train AI models, offering a novel way to acquire valuable industry data that traditional companies are unwilling to share. How does Mercor acquire data for AI labs?Mercor recruits highly-skilled former employees from sectors like finance, consulting, and law. These individuals are paid to fill out forms and write reports based on their industry experience, which is then used for AI training. Is Mercor’s approach legal and ethical?While Mercor CEO Brendan Foody argues that knowledge in an employee’s head belongs to the employee, the process walks a fine line. The company instructs contractors not to upload proprietary documents. However, the potential for inadvertently sharing sensitive corporate knowledge remains a subject of ongoing debate. Which AI labs use Mercor?Prominent AI labs that are customers of Mercor include OpenAI, Anthropic, and Meta. How does Mercor compare to its competitors like Scale AI or Surge AI?Unlike early data vendors that focused on simple labeling tasks with a general workforce, Mercor specializes in recruiting highly-skilled industry experts to provide complex corporate knowledge for AI training. While competitors like Scale AI and Surge AI are now also engaging experts, Mercor has carved out a unique niche with its expert-driven model. Conclusion: Mercor’s Impact on the Future of AI Mercor’s innovative model represents a significant shift in how AI labs acquire the specialized industry data essential for their development. By tapping into the vast reservoir of corporate knowledge held by former employees, Mercor not only bypasses traditional data acquisition hurdles but also challenges established notions of intellectual property and the future of work. The startup’s rapid growth and substantial valuation underscore the immense demand for this expert-driven data. As AI continues to advance, Mercor’s approach could indeed pave the way for a new gig economy of expertise, profoundly impacting how industries operate and how AI training evolves. The ethical considerations surrounding data ownership will undoubtedly continue to be debated, but Mercor’s disruptive strategy has undeniably opened a powerful new channel for AI innovation. To learn more about the latest AI market trends, explore our article on key developments shaping AI models features. This post AI Labs: Mercor’s Bold Strategy Unlocks Priceless Industry Data first appeared on BitcoinWorld.
Share
Coinstats2025/10/30 00:40