How to Play the Property Meltdown in Five Charts
Savvy buyers made a fortune after the 2008 crash, picking up real estate at distressed prices. Investors hoping to spot bargains in the latest slump can watch these trends.
Savvy buyers made a fortune after the 2008 crash, picking up real estate at distressed prices. Investors hoping to spot bargains in the latest slump can watch these trends.
Is the pain over yet for U.S. commercial real estate? The answer might be yes for stocks but no for the assets they own.
A record $205.5 billion of cash is earmarked for investment in U.S. commercial real estate, according to dry-powder data from Preqin. But good deals may not be available for another six to 12 months. Here are some trends investors can watch for signs of when it is the right time to buy.
How Much Are Values Down Already?
U.S. commercial property prices have fallen 16% on average since their peaks in March 2022, according to real-estate research firm Green Street. Unlike the 2008 crisis, when a lack of credit hurt the value of all real estate, today’s downturn has hit some types of properties much harder than others.

Unsurprisingly given remote working, offices are the worst performers, having lost 31% of their value since the Fed first began raising interest rates. The discount isn’t as enticing as it sounds, as troubled buildings need heavy investment to bring them up to a standard that will attract tenants, or to be redeveloped for new uses.
Meanwhile, prospects for snapping up America’s e-commerce warehouses at knockdown prices look slim. Warehouse values are down just 8% from peaks to reflect higher financing costs, and top industrial stocks like Prologis don’t look cheap either, trading close to net asset value.
Apartments might be a better bet for those hunting for distressed assets. Prices for multifamily apartment buildings have fallen by a fifth since March 2022. Some owners who paid top dollar for properties during the pandemic using short-term, floating-rate debt may be forced to sell if mortgage repayments become unmanageable when their interest rate hedges expire.
Property Sellers Are Still Demanding Yesterday’s Prices
Sellers are holding out for prices that are no longer realistic. MSCI’s bid-ask spread reflects the difference between what U.S. property owners are asking for and what buyers are willing to pay.

As of July, the gap for multifamily apartments was 11%, the widest it has been since early 2012, when the property market was still recovering from the 2008 crash. The gap for office and retail is a bit narrower at around 8%. Price expectations are closest for industrial warehouses, where sellers want just 2% more than buyers are willing to pay.
The market will be sluggish until one side caves. In the second quarter of 2023, investment in U.S. commercial real estate was down 64% compared with a year earlier, according to data from CBRE.
As the bid-ask gap narrows, it will signal that valuations are approaching more sustainable levels. But this will take some time. It was five years after the 2008 crash before buyers and sellers saw eye to eye on prices on the hardest-hit assets like apartments—although the adjustment should be much faster this time.
What Could Force Sellers to Slash Prices?
The number of properties that slip into distress will be key for bargain-hunters.
So far, there haven’t been many forced sales. Only 2.8% of all office deals in the U.S. in the second quarter were distressed, according to MSCI.
This may be because loans haven’t matured yet. “Owners don’t want to take a loss but once there are refinancing issues, they will have that come-to-Jesus moment with lenders,” says Jim Costello, chief economist at MSCI Real Assets.

Even if forced sales are still rare, the value of U.S. property in distress—in default or special servicing—is rising. In the second quarter, an additional $8 billion of assets got into distress, bringing the total to $71.8 billion, according to MSCI. Including properties that look at risk, the pool of potentially troubled assets is more than double this amount.
Investment-grade corporate bond yields suggest that property prices have further to fall
Owning commercial property is a bit like owning a corporate bond, only slightly riskier: You bet on the solvency of a tenant, with more uncertainty about the value of the capital you’ll get back. For at least the past 20 years, investors in U.S. real estate have required a return premium of 1.9 percentage points over the yield on investment-grade corporate debt, according to Green Street’s director of research, Cedrik Lachance.
Right now, real estate only offers a 1.3 percentage point premium. For the relationship to return to normal and make property attractive again, U.S. real-estate prices need to fall a further 10% to 15%.

The share prices of listed property companies also point to further falls
Publicly traded real-estate stocks provide a live read of sentiment toward property markets. In the U.S., listed property companies currently trade at a 10% discount to gross asset values, based on Green Street data. This is a good proxy for the size of the price falls that investors still expect in private real-estate values.

Investors can also keep an eye on property stocks for signs of improvement. “Listed real estate is a leading indicator for private in downturns and also recoveries,” says Rich Hill, head of real estate strategy and research at Cohen & Steers, who points out that there are already green shoots. At the end of June, REITs had risen in value for three consecutive quarters and were 13% above their lowest point in the third quarter of last year. Based on how long it usually takes for a recovery to feed through to the private market, property values could hit the bottom within six to 12 months.
All this suggests the best strategy is to buy property stocks but to wait to purchase physical real estate. “If you want to bottom fish in real estate now, do it in the public markets,” says Green Street’s Lachance.
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Artificial intelligence is making it easier than ever to build a business without building a team. As AI takes over coding, customer support, marketing, administration, and other day-to-day tasks, a growing number of solo founders are scaling startups to millions in revenue with few—or even no—employees. While the trend is lowering barriers to entrepreneurship, it is also reshaping hiring, raising questions about the future of work and how businesses will grow in the AI era.
Ben Broca launched a company last December that offers AI tools to entrepreneurs. He’s already added 10,000 paying customers and is on track to bring in $10 million in revenue this year.
One thing he hasn’t added: any other employees.
The 40-year-old is part of a class of entrepreneurs who are launching, and then often running, new companies on their own. Artificial intelligence tools answer Broca’s emails, help write and debug code, field requests from customers, sign up new subscribers and grant refunds when issues arise.
Broca relishes his ability to make whatever decisions he wants on his own, often from his sun-drenched Sausalito, Calif., living room. “I think compromises make lukewarm results,” he said.
Once upon a time, running a business of a certain size required a team. AI is turning that assumption upside down, and more aspiring entrepreneurs are going it alone.
An analysis by the payments company Stripe shows there are thousands of solo operators on the company’s platform that are generating over $1 million in revenue, with their ranks doubling between 2023 and 2025. The number of solo operators crossing the $10 million threshold nearly tripled in that same span.
In the past, people without business contacts or particular savvy might not have known how to get their ideas off the ground, said Ernie Tedeschi, Stripe’s chief economist. “Now, AI can be a built-in business partner,” he said.
AI’s ability to handle various administrative tasks makes it potentially useful for launching solo businesses in many fields. But the technology’s ability to also handle key tasks in tech, like coding, make that field a particular hot spot.
Analyzing Census Bureau data, Bank of America Institute economist Taylor Bowley found that among all industries, new business applications in the information sector have seen the biggest percentage increase—nearly 45%—over the past year. At the same time, the rate of information-sector applicants saying they plan to hire workers has experienced the sharpest decline of any measured industry.
This Census dataset doesn’t track solo-operated businesses. But the numbers broadly show—in tech and beyond—that applications are flat among businesses likely to hire workers, but generally rising elsewhere. Economists say that’s a strong sign that solo operators are on the upswing.
“The bar for getting started has never been lower,” said Julian Weisser, who runs a San Francisco-based accelerator for solo founders working in tech. The accelerator—which offers founders seed money and mentorship in exchange for an equity stake—attracted 4,500 applicants for 10 slots made available in its most recent cycle, nearly five times the number it drew when it launched last May.
Going it alone with AI can still be surprisingly expensive. Broca said he was losing money on many customers’ accounts while paying to access Anthropic’s Claude to run his clients’ requests—that AI company, as well as others, charges based on usage. He has since switched to free open-source AI models from China.
Broca said he has raised $30 million from investors and, at the same time, has saved millions in salary since he hasn’t needed a team of software engineers.
Another risk: If it’s easy for one entrepreneur to launch an AI-assisted business, copying them can be easy, too. This creates anxiety for founders like Troy Johnston, who runs an AI-assisted business alone in Orlando, Fla.
“Everybody has the sword and we all have the ability to unsheathe Excalibur now,” said Johnston, 40, who used AI to code an app that helps people get the most out of credit card benefits. The company makes around $3,000 a month in profit, with no employees, and is continuing to grow.
What one-person businesses will mean for the labor market remains to be seen. Polling has shown Americans are worried that AI will replace jobs, and top economists are wrestling with that possibility, too. But AI is also creating lots of new jobs, and the go-it-alone entrepreneurs show how the technology can both open doors and limit employment opportunities.
“If everyone’s hiring less, but you get four times more firms, what does that do to head count?” said Rembrand Koning, an associate professor at Harvard Business School who studies entrepreneurship. He co-authored a recent study that found that among 50,000 startups the researchers examined, those focused on AI tended to operate with 25% fewer employees.
Koning also believes a soft hiring environment that’s left some people mired in long job searches has encouraged more to try their hand at launching businesses.
Some founders cite different motives. “It’s a perfect storm of post-pandemic burnout and a re-evaluation of one’s priorities, and also booming AI and a sense of what’s possible,” said Samir Ahmad, 39, who lives in Breinigsville, Pa.
Two years ago, Ahmad decided to leave the corporate job he had worked at Verizon for almost two decades to start a solo coaching and consulting business. He had been seeing social-media posts touting the ease and virtues of AI, which he used to chart a business plan and help with marketing. “It was like my chief of staff, a second in command,” he said.
The business ultimately petered out within months, though, and Ahmad is now back to a full-time corporate role with a utility company.
For Claire Vo, 41, AI helped her turn a passing impulse into a business. She was working full-time as a tech executive when she tapped AI in late 2023 to help code an app that would help her manage documentation and design for new products, with customers ranging from financial services to healthcare firms.
“I was copying and pasting from ChatGPT,” said Vo, who lives in San Francisco.
She put the app online for $1 a month, and within weeks people downloaded it thousands of times. Nearly three years later, Vo’s company—which she ran solo for nine months before hiring an engineer—now has 100,000 users and is on track to make seven figures in profit this year. AI handles the company’s marketing, sales and customer support.
While AI is a shortcut, Vo said her network and credibility in the industry were key. “I think people over-index on how easy AI is and under-index on how much I did to get to this point,” she said.
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