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December Fed cut: FOMC members in for ‘rare, suspenseful’ meeting

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If the market doesn’t seem sure whether or not to expect a base interest rate cut next month, it’s not alone—members of the Federal Open Market Committee (FOMC) themselves may have little clue which way the vote is going to go.

In the run-up to this week, the mood was one of disappointment that the FOMC wouldn’t deliver a final cut for 2025, an action many analysts had priced in since this summer. A week ago, investors hedged their bets at a 50/50 likelihood of a base rate cut to 3.75 to 4%, from its current position at 4 to 4.25%.

But the tides changed quickly, based on both data and comments from members of the FOMC, and at the time of writing, CME’s FedWatch barometer places an 81% probability of a cut early next month.

A key part of the shift came after comments from the New York Fed’s John Williams, who joined voices like Trump appointee Stephen Miran and Governor Chris Waller in advocating for a cut. This, analysts warned this morning, may need to be taken with a pinch of salt: Members will be asking whether their peers are truly dovish, or are ruffling feathers in order to catch the eye of President Trump and secure a nomination for Fed Chairman next year.

Data isn’t making the path much clearer. The first payroll report after the end of the government shutdown painted a pallid picture of the jobs market. Powell called it a “low hire, low fire” environment. The unemployment rate remained relatively stable at 4.4%, and the jobs market added a relatively small 119,000 roles in September.

Offsetting the tepid employment outlook, which forms one part of the Fed’s mandate, is the inflation question. Members of the FOMC are mindful that inflation remains comfortably ahead of its 2% target, a trend that is likely to come into even greater focus during a period of high consumer spending.

This combination means holiday spending data holds more levity than usual; in fact, it is “crucial,” wrote Professor Jeremy Siegel, Emeritus Professor of finance at The Wharton School of the University of Pennsylvania.

Writing for WisdomTree yesterday, where he is senior economist, Professor Siegel added: “Real-time credit-card reads and retail commentary will reveal far more about underlying consumer momentum than backward-looking payroll reports that remain distorted by the shutdown. Strong spending will tilt the Fed toward a December pause; soft spending makes the December meeting genuinely live.”

As such, “this is the most uncertain FOMC meeting in years because the committee itself doesn’t yet know the answer,” added Professor Siegel, “Powell prefers to signal decisions well in advance, but the data simply is not speaking loudly enough.”

Williams signalling an openness to a cut is “groundwork” from the dovish camp, the professor added, while hawks are insisting the data is not strong enough either way to prompt action: “It sets up a rare, genuinely suspenseful meeting—one where investors should expect volatility around both the statement and the new dot plot.”

A question of motivation

Goldman Sachs’s chief economist Jan Hatzius shares the opinion of President Williams, arguing that the payroll data for September is weak enough to motivate a cut. In a note released Sunday, Hatzius wrote: “His view is likely consistent with that of Chair Powell—who almost certainly wrote down three cuts in the September dot plot—and a majority of the 12 voting FOMC members, though not necessarily a majority of all 19 FOMC participants.

“With the next jobs report now scheduled for December 16 and CPI for December 18, there is little on the calendar to derail a cut on December 10.”

However, with Chair Powell due to step down next year—much to the joy of President Trump, who has repeatedly criticised him for refusing to cut the base rate—it may be hard to separate the through doves from those auditioning for the role.

As UBS chief economist Paul Donovan said this morning: “U.S. Federal Reserve Governor Waller, who President Trump is considering as a candidate for Fed Chair, supported Trump’s calls for more rate cuts yesterday. Waller advocated a December rate cut, which got markets somewhat excited, although Waller justified this with suggestions that the U.S. labor market might perhaps be in trouble.”

Donovan countered that a higher inflation rate is being accommodated by U.S. households saving less, suggesting a level of confidence in the jobs market. “If Waller is right,” Donovan added, “the U.S. economy is at quite significant risk, and this should be a major concern for financial markets.

“If, however, this call is merely a subtly-disguised cry of ‘Pick me! Pick me!’ aimed at Trump, then markets will focus on the benefits of monetary accommodation and not the mooted risks it is purportedly offsetting.”



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Bitcoin is one of the world’s most battle-tested pieces of software. Launched in early 2009, the network has run continuously without being hacked, and today feels more secure than ever. There is, however, a threat on the medium-term horizon that threatens not only Bitcoin but every other type of software that relies on current encryption technology. That threat is quantum computing and, on Wednesday, Coinbase announced it has created a board of outside experts to prepare for its eventual arrival.

The board includes academics from Stanford, Harvard, and the University of California with specialties in fields like computer science, cryptography and fintech. Formally known as the Coinbase Independent Advisory Board on Quantum Computing and Blockchain, it is also composed of experts in blockchain and security from the Ethereum Foundation, the DeFi platform EigenLayer and from Coinbase itself.

In an interview with Fortune, Coinbase Chief Information Security Officer Jeff Lunglhofer explained how the arrival of quantum computing could defeat current encryption mechanisms, including the ones employed to protect the wallets and private keys held by Bitcoin owners.

“In simple terms, modern cryptography relies on hard math problems that would take thousands of years for a modern computer to solve,” he said. “But when we have a million times the horsepower [with quantum computing], that will provide the computation power to solve them.”

While the security threat of quantum computing is real, it is unlikely to be an urgent issue for at least a decade, according to Lunglhofer. His view is consistent with other experts who note that, while companies like Google and IBM have been building quantum computers for years, the current generation of these machines can only operate at a small scale and are not close to being able to crack the algorithms that protect Bitcoin and other networks.

The purpose of the new Advisory Board, says Lunglhofer, is to explore the coming impact of quantum computing in a “non-hype based way.” This will include promoting efforts by the blockchain industry, which are already underway, to update Bitcoin and other networks so that they are resistant to quantum-based attacks.

Currently, the Bitcoin network secures wallets by means of private keys, which are long strings of random numbers and letters that are visible to their owners, but that can only be guessed by means of an impossibly long series of trial-and-error attempts. When the quantum computing era arrives, it will be possible to guess a private key using trial-and-error. In response, Lunglhofer says, blockchain experts anticipate that Bitcoin and other networks will respond by creating larger keys and, at the same time, introducing “noise” to make the location of the key harder to detect in the first place.

All of this will require blockchain networks to introduce and deploy these defensive upgrades, a process that is likely to take years. In the interim, the new Advisory Board will begin publishing research papers and issuing position statements to help the crypto industry prepare for the arrival of quantum computing. The group plans to publish its first paper, which will focus on quantum’s impact on the consensus and transaction layers of blockchain, in the next month or two.

“Quantum computing is both a technological opportunity and a security challenge. By bringing together the foremost experts in the world, Coinbase is ensuring that the blockchain ecosystem is prepared, not just reactive,” said Yehuda Lindell, Head of Cryptography at Coinbase, in a statement.



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The Walmart C-suite reshuffle shows how the retailer sees itself now: as a tech company

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When Walmart last week announced that David Guggina, its U.S. e-commerce chief executive, would become CEO of its nearly $500 billion U.S. division, one thing stood out in his résumé: Unlike his predecessors, Guggina has no experience running stores and has never held a merchandising role, at Walmart or elsewhere. These are two classic job requirements in retail. Incoming Walmart CEO John Furner, for example, who has run U.S. operations since 2019, began his Walmart career as an hourly associate in 1993, and held roles in merchandising, operations, and sourcing.

But there’s another realm of experience that Guggina does have in spades: e-commerce, automation, and supply chain. And by putting him atop the division that generates 69% of company revenue, Walmart is signaling that it now sees itself as a tech company, as well as a retailer. Guggina has spent eight years at Walmart, after nine years at arch-rival Amazon.com. In its announcement, Walmart touted Guggina’s work in building delivery capabilities to serve 95% of U.S. households in under three hours, and said his appointment “positions him to continue to drive our goal of being America’s favorite place to shop.”

In the last decade, after years of fits and starts, Walmart has emerged as a formidable e-commerce player, with U.S. digital sales of almost $100 billion a year—still far behind Amazon, but well ahead of any other U.S. retailer. In its most recent quarter, Walmart’s U.S. e-commerce rose 27%. That has been the result of billions in investments to integrate Walmart’s 4,600 stores with its e-commerce operations. This work has helped ensure faster shipping while also integrating technology more effectively into things like inventory management, supply chain, and in-store customer service. Guggina was instrumental in those achievements, working under Furner, who will become Walmart Inc’s new CEO next week.

“This is a unique moment in retail,” Guggina said in a LinkedIn post about his appointment. “AI is changing how people shop, and customer expectations are higher than ever. But no one is more prepared to usher in the next era of retail.”

The timing of Guggina’s promotion was fitting: It came soon after Walmart moved its shares from the New York Stock Exchange to the Nasdaq exchange, where tech giants such as Amazon, Google, and Microsoft list their shares. In December, Walmart said the move underscores its “technology-forward approach.” 

Guggina isn’t the only techy whose star is rising at Walmart. The company also appointed Seth Dallaire chief growth officer for Walmart U.S., charging him with pushing Walmart U.S. further beyond traditional retail into tech-heavy lines of business—including its booming advertising, media, and online marketplace ventures. Dallaire is a veteran of Instacart and Amazon.

Walmart is considered by analysts to be well ahead of other retailers in AI-assisted shopping. In October, it announced a partnership with OpenAI to allow shoppers to browse and buy Walmart products directly inside ChatGPT, using a built-in instant checkout feature. Last week, Walmart and Google announced their own shopping tool. Also last week, Walmart’s executive vice president for AI acceleration, product and design, Daniel Danker, suggested at a conference that the company was developing auto-ordering for the replenishment of staples.

Bolstering Walmart’s tech and AI aura has had the additional benefit of lifting the company’s stock: In the last year, Walmart shares have risen 27%, double the S&P 500’s growth and trouncing Amazon’s 1% increase.

This story was originally featured on Fortune.com



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The rise of on-demand leadership in the AI economy

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A quiet but consequential shift is underway in the executive labor market. Companies are rethinking how they access senior judgment in the AI era. 

Rather than defaulting to full-time executive roles that command lofty salaries and long-term overhead, companies are increasingly turning to experienced consultants, strategists, and advisors to provide leadership on a limited and targeted basis.

This is not a dilution of leadership, but a recalibration of where experience delivers the most value.

According to LinkedIn’s latest Jobs on the Rise report, the fastest-growing roles in the U.S. economy sit at the intersection of AI and strategy. AI engineers claimed the top spot, while AI consultants and strategists ranked No. 2 overall. Strategic advisors and consultants also placed in the top 10. Together, the data show that as execution becomes cheaper, human judgment becomes more valuable.

The underlying driver is the implementation gap. After years of AI experimentation, organizations are struggling to convert tools into returns. While they do not lack models or software, many lack orchestration. Companies are increasingly turning to AI consultants and strategists to align technology with business realities, governance, and incentives, work that requires credibility, cross-functional fluency, and the kind of judgment typically associated with senior leadership roles.

The labor market now reflects a clear division of labor. Demand is rising simultaneously for full-time technical AI talent and for senior professionals who can translate those capabilities into business outcomes. As companies scale internal AI teams, they are increasingly relying on external advisors and consultants to provide the judgment required to direct that work at critical moments.

The supply side of this shift is shaped by organizational reality. Executives continue to make daily decisions, but AI has concentrated risk into fewer, more complex, and higher-impact choices around operating models, capital allocation, and governance. Rather than expanding permanent headcount, companies are bringing in experienced external leaders to guide those decisions when the stakes are highest.

The economics reinforce the model. Although senior advisors and consultants often command higher hourly rates, their total annual cost is typically a fraction of a comparable full-time executive role because they are engaged for a limited scope and time. Just as important, this approach allows organizations to draw on multiple forms of expertise rather than binding themselves to a single permanent hire.

The talent profile filling these roles is equally telling. Many of these advisors are former founders, CEOs, and COOs. Experience functions as a filter. LinkedIn’s data shows that many of the fastest-growing strategic roles carry a median of eight or more years of experience. These are not entry-level positions, but mid- or second-act careers for professionals with deep industry context.

The rise of founders and independent consultants on the Jobs on the Rise list also signals that this shift is driven by talent behavior, not just employer demand. Senior professionals are increasingly opting for career paths that offer autonomy, variety, and the opportunity to leverage their skills rather than committing to a single organization in an uncertain environment.

As AI automates and cheapens execution, the market value of human judgment, strategy, and accountability rises. As a result, pricing power shifts from doing the work to deciding what work should be done and how it should scale.

In this environment, experience is the moat. What is often described as “fractional leadership” is better understood as the unbundling of executive judgment from full-time roles. Over time, this model is likely to become not a stopgap but a structural response to the redistribution of value, risk, and expertise in the AI economy.

Join us at the Fortune Workplace Innovation Summit May 19–20, 2026, in Atlanta. The next era of workplace innovation is here—and the old playbook is being rewritten. At this exclusive, high-energy event, the world’s most innovative leaders will convene to explore how AI, humanity, and strategy converge to redefine, again, the future of work. Register now.



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