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Morgan Stanley strategist Michael Wilson says lackluster job numbers could actually be good news

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Ahead of the highly anticipated November jobs data to be released this week, even lackluster numbers may be greeted with relief by Wall Street.

A moderately cooling labor market could increase the likelihood of more rate cuts by the Federal Reserve—a tantalizing prospect for many investors eying future earnings growth—fueling bullish behaviors in the stock market, according to Morgan Stanley analysts.

“We are now firmly back in a good is bad/bad is good regime,” Michael Wilson, chief U.S. equity strategist and chief investment officer for Morgan Stanley, wrote in a note to investors on Monday.

Fed Chair Jerome Powell’s divisivecut last week, the Fed’s third cut in as many meetings, was based on consistent data showing a softening job market, including unemployment rising three months in a row through September, and the private sector shedding 32,000 jobs last month, per ADP’s November report

According to Powell, the quarter-point cut was defensive and a way to prevent the labor market from tumbling, adding that while inflation sits at about 2.8%, which is higher than the Fed’s preferred 2%, he said he expects inflation to peak early next year, barring no additional tariffs.

He added that monthly jobs data may have been overcounted by about 60,000 as a result of data collection errors, and that payroll gains may actually be stagnant or even negative.

“I think a world where job creation is negative…we need to watch that very carefully,” Powell said at the press conference directly following the announcement of the rate cut. 

Wilson suggested that Powell’s emphasis on the jobs data, as well as his de-emphasis on tariff-caused inflation, makes the labor market a crucial factor in monetary policy going into 2026. 

As a result of the government shutdown, the Labor Department’s job market report will be released on Tuesday, which will contain data from both October and November, and is expected to show a modest 50,000 payroll gain in November, with the unemployment rate ticking up from 4.4% to about 4.5%, consistent with the trend of a labor market that is slowing, but not suddenly bottoming out. 

‘Rolling recovery’ versus plain bad news

The Morgan Stanley strategist has previously argued that weak payroll numbers are actually a sign of a “rolling recovery,” with the economy in the early stages of an upswing slowly making its way through each sector. It follows three years of a “rolling recession” that Wilson said had kept the economy weaker than what employment and GDP figures suggested.

In Wilson’s eyes, because jobs data is a lagging metric, the trough of the labor cycle was actually back in the spring, coinciding with mass DOGE firings and “Liberation Day” tariffs. For a more accurate representation of the health of the economy, Wilson argued to look instead at the markets. The S&P 500, for example, is up nearly 13% over the last six months.

However, with Powell basing his policy decisions on data such as jobs, Wilson noted, the Fed could still see more room to cut, even as Morgan Stanley sees a labor market that is not in jeopardy.

“In real time, the data has not been weak enough to justify cutting more,” Wilson told CNBC last week prior to the Fed meeting. “But when they actually look at the revisions now…it’s very clear that we had a significant labor cycle, and we’ve come out of it, which is very good.”

But just as economists weren’t in consensus for the FOMC’s most recent rate cut, the possibility of more meager jobs numbers is not universally favored.

Claudia Sahm, chief economist at New Century Advisors and a former Fed economist, agreed the job data is a lagging economic indicator, but warned it could indicate a recession is underway, not that we’re already in the clear. What was particularly concerning to her was that lagging labor data could bear worse job news, as layoffs have yet to surge following shrinking job openings. 

She told Fortune ahead of the Fed’s decision last week that additional rate cuts would not be welcome news, but rather a sign the Fed had acted too late in trying to correct a battered labor market.

“If the Powell Fed ends up doing a lot more cuts, then we probably don’t have a good economy,” she said. “Be careful what you wish for.”



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It was the week before Christmas, and Americans got one more dispiriting look at the jobs market. 

After a year of stalled hiring and “ghost jobs,” Americans are going back to school, retraining, and trying to get off the sidelines. But they’ve been flying blind after the longest federal government shutdown in history clouded the picture on job growth and unemployment. Finally, the October and November figures confirmed what most of them seem to feel already: The labor market has no room for them.

The unemployment rate rose to 4.6% in November, the highest since 2021. But this isn’t a standard recession: The BLS isn’t seeing layoffs happen as much in the private sector. Instead, it continues to see a virtual hiring freeze, two-thirds of a year after the bottom fell out of employment growth in April.

Jeffrey Roach, chief economist at LPL Financial, wrote in a note the jump in unemployment reflects a “transformation” in the labor force. Rather than unemployment being driven by layoffs, he said, “it was driven by an increase of individuals formerly not in the labor force.” In other words, people who had been without work for so long they weren’t considered to be in the labor force started looking during the holiday, and didn’t find any takers. 

Changes could be driven by ‘idiosyncratic spikes’

That shift is becoming increasingly visible in the data. During the past year, the total number of unemployed Americans has risen by more than 700,000. The fastest-growing segment isn’t people who lost jobs, but “re-entrants,” or workers returning after a period of inactivity. That number spiked roughly 20% year-over-year, outpacing every other category of unemployed, according to a note from Nicole Bachaud, ZipRecruiter’s labor economist. 

Bank of America Research, in a note by U.S. economist Shruti Mishra and her team, noted this increase was “noisy,” driven by one-time effects and “idiosyncratic spikes.” One such example she noted was the indirect impacts of DOGE. These “furloughed employees,” she said, likely drove this spike in unemployment. Leisure and hospitality jobs also fell in November, “likely due to slower air travel” as the FAA struggled with staffing. Air-traffic controllers were ordered to work without pay for over a month and the government slashed hundreds of flights, a situation the Trump administration addressed by only giving post-shutdown bonuses to the 776 workers who had perfect shutdown attendance, leaving out nearly 20,000 others. 

Bachaud wrote she saw the increase of re-entrants as a “positive” signal, though, for the labor market, since it counteracts the dual negative forces of “an aging population and lower immigration.” It suggests people who were previously sidelined—by caregiving, health issues, or discouragement—are willing or compelled to try again, “rebalancing the labor force,” Bachaud wrote. 

But in many cases, re-entry might not be a sign of optimism so much as a necessity. Pandemic savings are gone, inflation has strained household budgets, and higher borrowing costs have made living on one income more difficult to sustain. As financial cushions thin, the rebalancing Bachaud referenced is a function of the economy pushing more Americans back into the job search.

The Department of Government Efficiency (DOGE), Elon Musk’s short-lived effort to reduce the size of the federal government, also clearly drove a sharp federal payroll drop: The federal government shed 162,000 jobs in October alone as government employees’ “fork in the road” buyout offers took effect. Data suggests when Uncle Sam moves to aggressively shed headcount, it has a chilling effect on the entire private sector.

How the job search is changing 

The average job search is also lengthening, another sign the hiring door is locked. The number of people unemployed for 27 weeks or more has climbed more than 15% during the past year, now accounting for nearly one-in- four unemployed workers, Bachaud calculated. At the same time, the ranks of marginally attached and discouraged workers—those hovering at the edge of the labor force—are also growing, suggesting some re-entrants may be cycling back out after failing to land work.

Wages are also no longer providing much of a cushion. Average hourly earnings rose just 0.1% in November, slowing annual growth to 3.5%, the weakest pace since 2021. This slowing down in wage growth, Roach wrote, “may turn out to be a big story for the job market in the coming months.”

Slower wage gains have the positive of easing inflation pressures—beneficial in a time in which more Americans complain about affordability—but they also limit income growth for households already facing tighter job prospects.

Industry data reinforces the imbalance. Outside of health care, social assistance, and construction, hiring has been flat to negative in recent months. Seasonal hiring—which typically helps absorb marginal workers over the holidays—has “disappointed this year,” particularly in retail, leisure, hospitality, and transportation, Bill Adams, chief economist for Comerica Bank, wrote in a note.

Adams described the labor market as having “hit an air pocket” in the fourth quarter. Federal job losses amplified the slowdown, but private-sector hiring outside a narrow set of industries has also failed to keep pace with rising labor-force participation.

The S&P 500 greeted the news with a disappointed shrug, down 0.8% intraday, as the jobs report was balanced by an October retail sales report that surprised to the upside, showing Americans are still splashing the cash, driving the all-important consumer spending that powers two-thirds of GDP. But as a general lump of coal in the stocking, Mishra concluded after so many months of strong spending that appears bifurcated by income cohort and a “low-hire, low-fire” jobs market, “the consumer labor conundrum remains.”



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OpenAI releases new image model as it races to outpace Google’s Nano Banana amid company Code Red

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OpenAI released a new flagship image generation model today as it moves to counter recent concerns that it is slipping behind rivals in the race to capture both consumer and business mindshare.

The new image generation model allows for more precise image editing and can generate images up to four times faster than OpenAI’s previous image creation AI, the company said in a blog post. It said the new model, as well as a new images feature in ChatGPT are designed to make image generation “delightful.”

According to an OpenAI blog post, the new ChatGPT Images is rolling out to all ChatGPT users and API users globally today. The company said it works across models, so users don’t need to select a specific model in the drop-down menu in order to use it. 

“We believe we’re still at the beginning of what image generation can enable,” the company said in the blog post. “Today’s update is a meaningful step forward with more to come, from finer-grained edits to richer, more detailed outputs across languages.” 

While it may seem like a Christmas present for loyal ChatGPT users, OpenAI staffers have been the busy elves responding to Santa—er, CEO—Sam Altman’s post-Thanksgiving “Code Red” memo, which was meant to push the company to improve ChatGPT over the next eight weeks amid intense competition from rivals, most notably Google

Google’s Gemini model had been gaining steam after its image generation model, Nano Banana, was released in August. Google said monthly active users grew from 450 million in July to 650 million in October. 

The company’s latest version, Nano Banana Pro, went viral after its November 20 release, thanks to the model’s newfound ability to handle text in images cleanly (something that had been a thorny problem for years). Users were also wowed by Nano Banana Pro’s ability to produce diagrams and infographics that made sense, and the fact that it allowed people to edit their images rather than regenerating them from scratch. 

Last week, OpenAI released the latest version of its text model, GPT-5.2; since then, industry-watchers have waited to see if the company would release a new image model before the New Year. But will it be good enough to outpace Google? 

Fidji Simo, OpenAI’s CEO of applications, wrote in a Substack post that ChatGPT’s chat interface was not originally designed to go beyond text, so the new image model is accompanied by a “dedicated entrypoint” in ChatGPT for images that works more like a “creative studio,” available in the sidebar through the mobile app and on the web.

“The new image viewing and editing screens make it easier to create images that match your vision or get inspiration from trending prompts and preset filters,” she wrote. “On top of that, our new model is faster and better at following detailed instructions so you get more accurate edits and creative transformations.” The model can keep key elements like lighting, composition, and likeness consistent between what users input and what the model outputs, “so the results stay much closer to what you imagined,” she added. 

Still, Nano Banana Pro may still have an early mindshare advantage. In a recent interview with Fortune, Allie Miller, an AI advisor and investor, discussed how she recently attended a Shark Tank-type event hosted by Mark Cuban and was struck by what happened when Cuban said the words “Nano Banana.” 

She expected that the mention of Google’s whimsically-named AI image generator might cause confusion among the thousands of people in the audience, who Miller described as mostly new to AI. Instead, the crowd nodded in recognition.

Like ChatGPT itself, she explained, “there are certain AI tools or models that you just start hearing over and over and over again that gain such a big pop culture moment.” 

Whether OpenAI’s elves can make its new ChatGPT Images as irresistible as the most sought-after toys of the season remains to be seen. But the moment—coming amid the company’s Code Red—underscores a broader reality: While model quality still matters in the AI race, it’s increasingly a battle for consumer hearts and minds.



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AWS CEO Matt Garman says AI displacing junior employees is bad for business

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Earlier this year, Garman said replacing junior software developers with AI was “one of the dumbest things I’ve ever heard,” and it’s a point he stands by. In an interview with WIRED published on Tuesday, Garman said displacing junior engineers and employees with new tech is a bad business move. 

Entry-level workers are usually paid the least, meaning getting rid of their positions first in favor of higher-paid senior talent is not a cost-effective strategy, he noted. Moreso, these fresh-faced young workers are likely recent college graduates with energy, excitement, and deep familiarity with AI tools. Eliminating them, in Garman’s eyes, would be myopic.

“At some point that whole thing explodes on itself,” Garman said. “If you have no talent pipeline that you’re building and no junior people that you’re mentoring and bringing up through the company, we often find that that’s where we get some of the best ideas.”

“You’ve gotta think longer term about the health of a company,” he added. “And just saying ‘OK great, we’re never going to hire junior people anymore,’ that’s just a nonstarter for anyone who’s trying to build a long-term company.”

A Stanford University study published in August suggested AI is already starting to have its way with entry-level workers. The research revealed that “the AI revolution” is having a “significant and disproportionate impact on entry-level workers in the U.S. labor market,” particularly 22- to 25-year-old software engineers and customer service agents.

AI’s workforce shakeups 

Despite Garman’s adamance on AI not replacing young workers, Amazon’s own automation advancements have coincided with the company laying off thousands of employees this fall. The tech giant announced in October it would slash 14,000 jobs, mostly middle management positions. Earlier this year, Amazon laid off a smaller portion of workers from divisions including AWS, its Wondery podcast division, and the consumer devices unit. 

Rather than attribute the axings to AI, Amazon instead said the layoffs were part of an effort to make the business more efficient after a period of growth, as well as resolve cultural mismatches that emerged in the workforce.

“The announcement that we made a few days ago was not really financially driven, and it’s not even really AI-driven, not right now at least,” CEO Andy Jassy said at the time. “It’s culture.”

Still, AI advancements are poised to impact Amazon’s workforce. The memo outlining the fall layoffs cites the transforming technology of AI as the impetus for improving workflows with leaner teams. A June memo from the company said AI efficiency gains will “reduce our total corporate workforce,” and a New York Times investigation published in October reported Amazon had a lofty goal to automate 75% of its work, translating to about 600,000 jobs the tech giant would not ultimately need to hire for.

AWS did not immediately respond to Fortune’s request for comment.

Garman isn’t naive to the workplace upheaval AI could bring. He predicted the technology will initially create a burst of new jobs, as well as reduce several roles, but he was certain that AI would ultimately transform the nature of work.

“One of the things that I tell our own employees is ‘Your job is going to change.’ There’s no two ways about it,” he told WIRED.

The 49-year-old AWS CEO said employees have the potential to have more impact and responsibilities as a result of AI, but it will require learning news skills, as well as organizing teams differently. While entry-level workers should not be the primary victims of AI’s workplace shake-ups, other jobs and industries will be impacted, Garman noticed.

“If they don’t, they’ll most likely get left behind by people who move faster and do change,” he said. “There is going to be some disruption in there for sure. Like there is no question in my mind.”



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