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.
4 min
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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OpenAI has shelved the planned launch of GPT-6.1 Astra after internal tests raised concerns about deception and agents acting beyond user authorization, according to The Wall Street Journal. The company says it will investigate the issues and strengthen safety measures before releasing future models.
4 min
OpenAI says it is scrapping the release of its next-generation AI model over safety concerns that researchers raised during internal testing, in one of the clearest signs so far that agent misbehavior could stymie the industry’s rapid progression.
The move follows a summer punctuated by reports of artificial-intelligence systems industrywide going rogue, and marks a rare case of a major AI developer ditching a new release because of safety concerns.
The company had planned to launch the model, known as GPT-6.1 Astra, in the coming days or weeks, aiming for an October debut. The model was more capable than the company’s previous models in completing challenging tasks from end-to-end without human assistance, as well as writing.
The company instead will focus on improving the safety of future models, which it expects to be even more capable.
Saachi Jain, OpenAI’s head of safety systems, said in an interview that GPT-6.1 Astra regressed in two areas. Compared with its predecessor, GPT-6 Astra, the model performed poorly on tests measuring alignment, or how well the model adheres to what humans would like it to do. Specifically, GPT-6.1 Astra showed higher levels of deception: It wasn’t always honest about telling users of the actions it did or didn’t take.
Another issue was what OpenAI calls “scope authorization,” meaning that GPT-6.1 Astra would push ahead on a task without asking the user for permission, and would at times reach for external tools and services even if it might be unsafe.
“For anything regarding safety and alignment, there’s a trade off,” Jain said. “You really do need to find what’s the right line between staying within scope, but also avoiding laziness in terms of how the model actually pursues tasks even when it hits friction.”
While GPT-6.1 Astra improved in areas such as “model laziness,” Jain said it didn’t quite meet OpenAI’s bar for safety and alignment, so the company decided not to launch the model publicly.
The announcement comes one day ahead of OpenAI’s annual developer conference in San Francisco. In the past, OpenAI has used the conference as an opportunity to launch new models and services that reduce costs for software developers—a segment the ChatGPT-maker competes with rival AI company Anthropic to win over.
In recent weeks, OpenAI and Anthropic have called on industry partners to slow down the development of cutting-edge AI models and invest in safety standards, noting they will temper the pace of their own internal AI progress.
OpenAI says it is working to investigate a range of agent security incidents that it has discovered in recent months, and address the safety issues underneath them. As part of the work, the company has implemented a new monitoring system to catch AI-agent misbehavior more quickly, and started requiring engineers to use stronger security guardrails for testing its AI systems.
Earlier this summer hundreds of OpenAI’s internal agents, which were tasked with completing a cybersecurity test, ended up hacking into the AI company Hugging Face. Since then, high-profile organizations such as the Australian government and United Nations discovered that OpenAI’s agents used similar, but less extensive, techniques to gain access to their websites.
Many of the publicly known agent-security incidents involved OpenAI’s internal AI models that were never slated for public release.
Last week, OpenAI said it paused training on its most capable AI models after an AI agent slipped through a gap in the company’s internet restrictions to query a public chatbot. The company said its new monitoring systems flagged the incident within 15 minutes, and training on these models remains paused.
GPT-6.1 Astra isn’t one of those models, but a different case, the company said.
“We want to make sure our model development is safe no matter whether that’s in the company, or when we ship it to users,” Jain said. “But when we ship it to users, we have an extremely high bar in terms of safety and alignment.”
While the company decided not to ship GPT-6.1 Astra, it hopes to use the same base model to do additional reinforcement learning runs, and create future generations of its GPT-6 models.
OpenAI plans to conduct several deep dives to identify the root cause of the problems identified in GPT-6.1 Astra, Jain said. The work includes ensuring that OpenAI’s reinforcement learning environments are rewarding the right type of behavior, Jain added, though she noted the company would investigate all stages of model development.
AI companies have begun to draw scrutiny from policymakers and public officials, who are paying attention to the rapid development of the technology. Later this week, a Senate subcommittee is holding a hearing with third party AI researchers titled, “Rogue AI: Securing the Homeland Against AI Agent Attacks.”
Florida Attorney General James Uthmeier, a Republican, sued OpenAI in June, claiming that the company and Chief Executive Sam Altman knowingly released an unsafe product and ignored warnings that it could harm users.
In a motion for temporary injunction filed Monday, Uthmeier sought to prevent OpenAI from developing new AI models without third-party approved safeguards, stop ChatGPT from soliciting user engagement and limit the company’s ability to advertise ChatGPT as safe.
Tech companies claim they “cannot stop barreling forward with their potentially civilization-ending endeavors unless they are forced to do so by the government,” Uthmeier said in the filing. “The Florida Attorney General is answering your cry for help.”
An OpenAI spokeswoman said that people want to know AI is being developed safely, “and that starts with what companies like ours do ourselves.”
“Governments have an important role to play in setting robust safety standards for AI, and we’re committed to working with Florida and other states on advancing pragmatic AI policies that apply to the entire AI industry—not just one company,” she said.
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