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The hiring rate trending lower could be a sign of problems to come

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The hiring rate trending lower could be a sign of problems to come

A version of this post first appeared on TKer.co

The stock market climbed to all-time highs, with the S&P 500 setting a closing high of 5,762.48 on Monday. For the week, the S&P rose 0.2% to end at 5,751.07. The index is now up 20.6% year to date and up 60.4% from its October 12, 2022 .

On Friday, we learned the U.S. economy created a healthy 254,000 net new jobs in September. While the number confirms that the labor market isn’t falling apart, the pace of net job creation in this economic cycle.

One labor market indicator that’s been drawing more attention lately is the . In addition to measuring those hired into newly created jobs, this metric also captures those hired into existing jobs vacated by quitters, fired workers, and others. It’s been trending lower, and it .

According to the report, employers hired 5.32 million workers in August. While hires far exceed the 1.61 million people laid off during the period, the hiring rate — the number of hires as a percentage of the employed workforce — has fallen to 3.1%, matching the lowest level of the current economic cycle.

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As we’ve been discussing , the layoff rate has , trending at around 1%, which is below prepandemic levels. That’s a good thing.

But with , we should be at least a little wary about resting on the economy’s low layoff laurels.

“The hiring rate turns BEFORE layoffs,” Renaissance Macro’s Neil Dutta explained in a research note on Tuesday.

When you think about how well-managed companies operate, this makes sense.

When the economic tides begin to go out, companies usually don’t go from hiring people one month to immediately sending workers to the unemployment office in the next month.

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Unless you’re facing a major business or economic calamity, you probably don’t want to take a hatchet to the headcount. Because what if business activity quickly turns around and you need those workers?

For starters, companies can reduce or freeze hiring, which means not filling new job openings or backfilling roles vacated by former employees. It’s a relatively easy way to keep expenses contained.

If challenges persist, then layoffs could be the next option.

It’s worth mentioning that layoff activity does not need to increase for the unemployment rate to rise. Think about it. Even when the economy is booming, — but many will quickly go back to work if hiring activity is strong. If the same number of people get laid off into an economy with weakening hiring activity, then more jobseekers will not be able to get back to work, and unemployment rises.

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The JOLTS survey — which provides data on job openings, hiring activity, layoffs, and quits — can be helpful in predicting what’s to come for the major headline economic metrics like net job creation, the unemployment rate, and inflation.

For example, when the posted by employers is high and rising, then you can expect payroll employment to rise and the unemployment rate to fall or stay low. An could be a reflection of worker confidence in a labor market with increasingly competitive wages, which is a .

Today, with but the layoff rate still depressed, the JOLTS metric to watch right now may be the falling hiring rate.

The question now is whether the economy, , will develop in a way that helps stabilize or improve the hiring rate. Friday’s news that the U.S. continues to create jobs at a healthy pace is encouraging.

And to be crystal clear, most metrics point to a strong economy that continues to grow at a healthy clip. In fact, the hiring rate today is higher than where it was during much of the 2009-2020 economic expansion. Our discussion today is not about sounding alarms. However, we should always be mindful of the fact that . And those downturns often come with early warning signs.

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There were a few notable data points and macroeconomic developments from last week to consider:

The labor market continues to add jobs. According to the report released Friday, U.S. employers added 254,000 jobs in September. It was the 45th straight month of gains, reaffirming an economy with growing demand for labor.

Total payroll employment is at a record 159.1 million jobs, up 6.8 million from the prepandemic high.

The unemployment rate — that is, the number of workers who identify as unemployed as a percentage of the civilian labor force — declined to 4.1% during the month. While it continues to hover near 50-year lows, the metric is near its highest level since October 2021.

While the major metrics continue to reflect job growth and low unemployment, the labor market isn’t as hot as it used to be.

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Wage growth ticks up. Average hourly earnings rose by 0.4% month-over-month in September, up from the 0.5% pace in August. On a year-over-year basis, this metric is up 4.0%.

Job openings rise. According to the , employers had 8.04 million job openings in August, up from 7.71 million in July. While this remains slightly above prepandemic levels, it’s from the March 2022 high of 12.18 million.

During the period, there were 7.12 million unemployed people — meaning there were 1.13 job openings per unemployed person. Once a sign of , this telling metric is now below prepandemic levels.

Layoffs remain depressed. Employers laid off 1.61 million people in August. While challenging for all those affected, this figure represents just 1.0% of total employment. This metric continues to trend near pre-pandemic low levels.

Hiring activity, while cooling, continues to be much higher than layoff activity. During the month, employers hired 5.32 million people, down from 5.42 million in July.

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People are quitting less. In August, 3.08 million workers quit their jobs. This represents 1.9% of the workforce. It continues to move below the prepandemic trend.

A low quits rate could mean a number of things: more people are satisfied with their job; workers have fewer outside job opportunities; wage growth is cooling; productivity will improve as fewer people are entering new unfamiliar roles.

Job switchers still get better pay. According to , which tracks private payrolls and employs a different methodology than the BLS, annual pay growth in September for people who changed jobs was up 6.6% from a year ago. For those who stayed at their job, pay growth was 4.7%.

Unemployment claims tick higher. rose to to 225,000 during the week ending September 28, down from 219,000 the week prior. This metric continues to be at levels historically associated with economic growth.

Card spending data is holding up. From JPMorgan: “As of 25 Sep 2024, our Chase Consumer Card spending data (unadjusted) was 0.6% above the same day last year. Based on the Chase Consumer Card data through 25 Sep 2024, our estimate of the U.S. Census September control measure of retail sales m/m is 0.13%.“

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Gas prices fall. From : “Despite literal and figurative storm clouds here and abroad, the national average for a gallon of gas still fell by three cents from last week to $3.19. The devastation wrought by Hurricane Helene did little to impact gasoline supply, but it crushed demand in affected areas by destroying infrastructure and causing power outages.”

Mortgage rates tick higher. According to , the average 30-year fixed-rate mortgage rose to 6.12%, up from 6.08% last week. From Freddie Mac: “The decline in mortgage rates has stalled due to a mix of escalating geopolitical tensions and a rebound in short-term rates that indicate the market’s enthusiasm on rate cuts was premature. Zooming out to the bigger picture, mortgage rates have declined one and a half percentage points over the last 12 months, home price growth is slowing, inventory is increasing, and incomes continue to rise. As a result, the backdrop for homebuyers this fall is improving and should continue through the rest of the year.”

There are in the U.S., of which 86 million are and of which are . Of those carrying mortgage debt, almost all have , and most of those mortgages before rates surged from 2021 lows. All of this is to say: Most homeowners are not particularly sensitive to movements in home prices or mortgage rates.

Construction spending ticks lower. declined 0.1% to an annual rate of $2.13 trillion in August.

Manufacturing surveys don’t look great. From S&P Global’s : “The September PMI survey brings a whole slew of disappointing economic indicators regarding the health of the US economy. Factories reported the largest monthly drop in production for 15 months in response to a slump in new orders, in turn driving further reductions in employment and input buying as producers scaled back operating capacity.”

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Similarly, the ISM’s signaled contraction in the industry.

Keep in mind that during times of perceived stress, soft survey data tends to be more exaggerated than hard data.

Services surveys look great. From S&P Global’s : “U.S. service sector businesses reported a strong end to the third quarter, with output continuing to grow at one of the fastest rates seen over the past two-and-a-half years. After GDP rose at a 3.0% rate in the second quarter, a similar strong performance looks likely in the three months to September. Encouragingly, inflows of new business in the service sector grew at a rate only marginally shy of August’s 27-month high. Lower interest rates have already been reported by survey contributors as having buoyed demand, notably for financial services which, alongside healthcare, remains an especially strong performing sector.”

Near-term GDP growth estimates remain positive. The sees real GDP growth climbing at a 2.5% rate in Q3:

We continue to get evidence that we are experiencing a where inflation cools to manageable levels .

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This comes as the Federal Reserve continues to employ very tight monetary policy in its . More recently, with inflation rates having from their 2022 highs, the Fed has taken a less hawkish stance in — even .

It would take monetary policy as being loose or even neutral, which means we should be prepared for relatively tight financial conditions (e.g., higher interest rates, tighter lending standards, and lower stock valuations) to linger. All this means for the time being, and the risk the into a recession will be relatively elevated.

At the same time, we also know that stocks are discounting mechanisms — meaning that .

Also, it’s important to remember that while recession risks may be elevated, . Unemployed people are , and those with jobs are getting raises.

Similarly, as many corporations . Even as the threat of higher debt servicing costs looms, give corporations room to absorb higher costs.

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At this point, any given that the .

And as always, should remember that and are just when you enter the stock market with the aim of generating long-term returns. While , the long-run outlook for stocks .

A version of this post first appeared on TKer.co

Finance

Should investors have bought gold or the S&P 500 5 years ago?

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Should investors have bought gold or the S&P 500 5 years ago?
Image source: Getty Images

Remember 2020/21, when Covid-19 crashed stock markets? At their 2020 lows, the UK FTSE 100 and US S&P 500 indexes had collapsed by 35%. Nevertheless, 2020/21 was a great time to buy shares, because returns have been outstanding since.

But would I done better five years ago buying the S&P 500 or investing in gold, one of the world’s oldest stores of value?

Over the past five years, the S&P 500 has leapt by 70.4%. However, this capital gain excludes cash dividends — regular cash returns paid by some companies to shareholders.

Adding dividends, the S&P 500’s return jumps to 81.8%, turning $10,000 into $10,818. That works out at a compound yearly growth rate of 12.7%.

Then again, as a British investor, I buy US assets using pounds sterling. The US index’s return in GBP terms over five years is 13.6% a year. This equates to a five-year total return of 89.2% — still a handsome result for UK buyers of US shares.

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For many, gold is the ideal asset in times of trouble. First, it has several uses: as a store of value (often in bank vaults), for jewellery, and as an excellent conductor of electricity in electronics. Second, it is scarce: all the gold ever mined would fit into a cube with sides of under 23m.

As I write, the gold price stands at £3,484.50. This is up an impressive 178.5% over the past five years. That works out at a compound yearly growth rate of 22.7% a year — thrashing the S&P 500’s returns.

Of course, gold pays no income, but these bumper returns can more than make up for this omission. Then again, with the S&P 500 worth around $60trn, its gains have been enjoyed by a much larger cohort of investors

Thus, over the past five years, investors have made more money owning gold than investing in the S&P 500. And speaking of high-performing investments, here’s another hidden gem from spring 2021…

As an older investor (I turned 58 this month), my family portfolio is packed with boring, old-school FTSE 100 and FTSE 250 shares that pay generous dividends.

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For example, my family owns shares in Lloyds Banking Group (LSE: LLOY), whose stock has soared since 2021. As I write, Lloyds shares trade at 96.68p, valuing the Black Horse bank at £56.7bn.

Over one year, the shares are up 37.8%, easily beating major market indexes. Over five years, this stock has soared by 135.6% — comfortably beating most UK and US shares over this timescale.

Again, the above returns exclude dividends, which Lloyds stock pays out generously. Right now, its dividend yield is 3.8% a year, beating the wider FTSE 100’s yearly cash yield of 3.1%.

Earlier this year, Lloyds shares were riding high, peaking at 114.6p on 4 February. They have since fallen by 15.6%, driven down by the US-Iran war, soaring energy prices, and fears of an economic slowdown. Of course, if the UK endures another recession, banking revenues, profits, and cash flow could take a nasty hit.

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That said, sticky, above-target inflation hinders the Bank of England from cutting interest rates. This boosts Lloyds’ net interest margin, boosting its 2026 earnings. And that’s why we will keep holding tightly onto our Lloyds shares!

The post Should investors have bought gold or the S&P 500 5 years ago? appeared first on The Motley Fool UK.

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The Motley Fool UK has recommended Lloyds Banking Group. Cliff D’Arcy has an economic interest in Lloyds Banking Group shares. Views expressed on the companies mentioned in this article are those of the writer and therefore may differ from the official recommendations we make in our subscription services, such as Share Advisor, Hidden Winners and Pro. Here at The Motley Fool, we believe that considering a diverse range of insights makes us better investors.

Motley Fool UK 2026

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4 Smart Ways to Use Your Tax Return for Financial Planning

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4 Smart Ways to Use Your Tax Return for Financial Planning

(Image credit: Getty Images)

In my work helping people think through retirement planning decisions, I often see people focus heavily on preparing their tax return but spend very little time reviewing it afterward.

By the time tax season ends, most people treat the document like a receipt: They file it, save a copy somewhere and move on.

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The CFO who turned Adobe’s finance department into an AI lab | Fortune

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The CFO who turned Adobe’s finance department into an AI lab | Fortune

Finance chief Dan Durn is turning Adobe’s finance organization into an early proving ground for agentic AI—using autonomous software agents to forecast results, scan contracts, and even answer hundreds of thousands of emails.

The push mirrors Adobe’s broader strategy around agentic AI. For customers, the company lets them choose models, combine them with their own data and Adobe’s, and point agents at specific business outcomes.

Internally, Durn, who is also in charge of technology, security and operations, has taken a similar approach to finance: pairing a rules-based, data-heavy function with AI, within a structure where finance, IT, and security report to one leader so pilots can move to production quickly. “Accuracy is non-negotiable,” he adds; that’s why Adobe is investing in structured data and governance so it can move fast without sacrificing precision, he says. 

The rise of AI is rapidly reshaping corporate leadership, accelerating turnover and elevating executives who can deliver fast, tangible results. Even long-tenured leaders face increasing pressure from investors to move aggressively on AI. Recent leadership changes, including the announced retirement of Adobe CEO Shantanu Narayen, highlight how little patience markets now have for perceived hesitation. At the same time, Adobe reported that annualized revenue from its AI-first products more than tripled year over year in its first quarter of fiscal 2026, which ended Feb. 27. Across Fortune 500 companies, this dynamic is creating a new internal proving ground where executives are judged by how effectively, and how quickly, they deploy AI to drive growth, efficiency, and innovation.

Using AI in finance

Inside finance, Durn groups AI use into three buckets: forecasting, anomaly detection, and general productivity.

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For forecasting, AI uncovers patterns and signals in data that would be difficult for humans to detect quickly, he explains. Anomaly-detection agents flag performance that’s unexpectedly strong or weak—“things that can get lost in the sea of data”—so finance can intervene faster, he says.

However, Durn says the best examples now sit in productivity, citing three use cases:

1. Extracting information from PDFs

One of the most developed use cases involves “containers” of information—collections of PDFs such as investor transcripts, quarterly reports, and analyst research. Finance teams use Adobe’s PDF Spaces to load documents into a shared digital workspace and use an agentic AI assistant to surface themes, insights, and messaging cues in minutes rather than hours.

A recent Forrester TEI study found Acrobat’s agentic AI Assistant increases efficiencies in document summarization and analysis by 45%. Durn says that matters because “the world’s information lives in PDF,” and AI that turns static content into insights that can be used.

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2. Cutting contract review time in half

Adobe is also using agentic AI to overhaul contract reviews across finance and procurement functions including revenue assurance, contract operations, product fulfillment, and vendor management. Instead of finance professionals combing through every clause, an AI assistant scans thousands of contracts, highlights provisions relevant to each function, and flags non-standard terms.

The system has cut review time roughly in half, speeding individual reviews and allowing teams to query the entire contract repository—for example, identifying which contracts include auto-cancellation features or foreign-exchange adjustment windows, Durn says. Adobe built its first prototype by April 2024 and began onboarding teams in January 2025.

3. Automating “common” inboxes

A third area is the “common inboxes” that handle high-volume internal and external email—shared addresses for sales, treasury, finance, and supplier questions. Adobe deployed an agentic AI assistant that auto-tags, prioritizes, routes, and, when criteria are met, auto-responds to emails. Typical queries include supplier billing issues or standard credit-quality questions coming into the treasury from Salesforce.

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“In 2025 alone, the system auto-responded to about 300,000 emails across 19 inboxes, saving more than 5,000 hours of manual work and freeing teams to focus on more complex issues,” he says. The tool took about six months to build; beta teams began using it around August 2024, with full rollout in January 2025.

The payoff, he stresses, isn’t headcount cuts but the ability to scale more efficiently as Adobe grows.

Grassroots ideas, decade-long build

Durn traces these finance use cases to Adobe’s long AI journey and a bottom-up idea pipeline. The company has invested in machine learning and AI for more than a decade, initially to understand customer usage patterns and embed intelligence into products—work that laid the groundwork for generative and agentic AI.

Many of the best applications come from “reaching down into the organization” and asking employees where AI could remove friction or make their jobs easier, he says. There are more ideas than capacity, so the team prioritizes those with the greatest impact.

When deciding whether to green-light AI investments, Durn focuses on organizational velocity—the ability of back-office functions to keep pace with faster product innovation. If finance doesn’t adopt AI, he argues, it risks becoming a “rate limiter of growth.”

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The actual spend is modest, he adds; much of the work involves change management and process redesign layered onto Adobe’s technology.

Durn’s perspective on change management coincides with new research from McKinsey. To capture the full value of AI, organizations need to go beyond “a piecemeal approach and push for a double transformation—both technical and organizational—that includes reimagining how work gets done across functions and workflows,” according to the report. While 88% of organizations surveyed are now experimenting with AI, fewer than 20% report tangible bottom-line results,, the research finds.

How AI is changing his own job

For his own workflow, Durn relies on AI primarily for insight generation. Ahead of earnings, his team loads pre-earnings research reports, Adobe filings, and peer transcripts into an AI-powered workspace to surface themes and likely investor questions.

Scripts and Q&A preparation are then run through models with guardrails to test whether messaging addresses those themes and to ask, “If I were an investor, what are my key takeaways?”

He sees it as a useful check on clarity and consistency—using AI to validate instincts and sharpen how Adobe communicates with the market.

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