Meta promised $1 billion for affordable housing. Then it quietly walked away
In 2019, Meta unveiled an ambitious pledge to spend $1 billion to help ease California's affordable housing crisis that critics say the company, with its thousands of highly paid employees, played a role in exacerbating.
Yet not even halfway through its 10-year commitment, Facebook's parent company has largely abandoned its work on the initiative. Its small staff is gone. The program, while never formally canceled, is a shadow of the operation it once was, according to three people with knowledge of Meta's decision-making who requested anonymity out of fear for professional repercussions.
The initiative ran in earnest for a few years, but then, in November 2022, after having pledged $225 million in land and allocating $193 million out of the proposed $775 million to fund new construction, executive leadership ended the funding that went directly to building affordable housing, the sources say.
Over the next year, the tech giant's housing team withered to a one-person operation focused on research and small grants. Then, in 2023, that employee was laid off, too.
Meta denied on Monday that it has pulled back from its housing work, and says that it will continue to invest in housing over the initiative's lifespan through 2029. But the sources and documents reviewed by this news organization suggest they've made little progress since the end of 2022.
"As an active partner in addressing the region's housing shortage, Meta has made significant investments in affordable housing development, teacher housing, grant funding, housing policy support, land development and modular housing," said Meta spokesperson Tracy Clayton. "There is still much work ahead, but we are proud to join individuals and organizations who started working on these issues long before Meta existed."
Work on Meta's housing projects has been reassigned to other Meta employees and outside consultants, the company said.
But if work has continued since 2022, it's been slow. The initiative's 2024 annual impact report is almost entirely copied and pasted from from 2023, offering a near-verbatim repetition of prior accomplishments, according to internal documents reviewed by this news organization. A few small changes are noted, such as recognizing the completion of the "Good to be Home" branding campaign, and that it had hosted a total of 13 webinars that year with nonprofit and local government partners, a jump from nine the year before.
The shuttering of the housing team appears to reflect the changing corporate culture within Meta, where the focus has shifted to building goodwill with the new presidential administration, rather than the public.
Meta's early investments had been promising. Its $150 million Community Housing Fund made low-interest loans to affordable housing developers, funding 1,500 units for extremely low-income residents. That money is now nearly spent.
"It was a resounding success," said Ray Bramson, chief operating officer of Destination: Home, a San Jose nonprofit aimed at ending homelessness, which partnered with Meta on the fund.
There were also supposed to be two more funds, according to its 2019 announcement. A $250 million effort to finance mixed-income housing on surplus state land throughout California was in the works when Meta pulled funding, the three sources told the Bay Area News Group.
Another $350 million was categorized in the initiative's announcement as "TBD" to be deployed based on how effective early investments proved. Some of that money, $15 million, was invested in Factory_OS, a modular housing manufacturer in Vallejo that Meta hoped would help scale affordable housing construction. But by June 2024, Factory_OS was struggling, and its manufacturing plant and brand were sold to a private equity buyer.
Some elements of the original commitment remain, including Meta's pledge to build on $225 million worth of land it had acquired in Menlo Park, where it has its global headquarters. The site, called Willow Village, is expected to one day include 1,730 homes about 300 of which would be affordable. The Menlo Park City Council approved the plans in 2022, but new roads, a power station and a fire station must be built before any housing goes in. Meta, which was supposed to be responsible for the build out, has not identified a construction timetable, a spokeswoman for the city said.
Meta also donated $25 million to fund 110 units of teacher housing in Palo Alto, set to open later this year. And it made a number of smaller pandemic-era grants for rental assistance and homelessness work to Bay Area cities and nonprofits.
But now, as Meta pours its energy into policy work in Washington, D.C., rather than Menlo Park, housing advocates here worry they'll have to look for new patrons.
"It's critically important that partners like Meta stay at the table right now," said Bramson of Destination: Home. "Corporate investment in housing is important now, because all of our other sources are drying up."
Meta's 2019 commitment came at a time when the company was facing criticism over its influence on both local and national fronts. The company was still sweeping up the mess of its 2018 Cambridge Analytica scandal in which a political data firm was found to have acquired tens of millions of users' data without their authorization.
Meanwhile, in the Bay Area, tech was blamed for growing inequality. Protesters were vandalizing buses of commuting tech workers. Candlelight vigils mourned neighborhoods lost to gentrification.
Gov. Gavin Newsom, newly elected and looking to show off his political chops, was publicly pressuring those who had profited from the tech boom to help impacted communities. On the campaign trail, Newsom had promised to build 3.5 million new homes in California by 2025. The state remains far behind its construction goals, and meanwhile home prices and rents keep climbing.
Tech companies had their own motivations to consider - high housing costs meant employees expected higher salaries, constraining companies' ability to grow their employee base here.
In 2016, Meta - then known as Facebook - pledged nearly $30 million fund to affordable housing, as part of its negotiations with Menlo Park to expand its footprint there. Elliot Schrage, Meta's former policy chief, wanted to do something bigger, and drove the $1 billion initiative. Schrage did not respond to a request for comment.
Meta's affordable housing pledge was just one of many in what had become a sort of atonement arms race among tech companies. Microsoft committed $500 million to housing in Seattle. Then Google outdid them, offering up $1 billion. Meta's announcement came a few months later.
But the new housing team realized the difficulty of doing mission-driven work within a company calibrated to seek profits, the three sources said. All funding went through the company's finance department, which resisted spending on projects whose returns on investment might not be realized for decades, let alone the next quarter, the sources said.
The program also lost what champions it had within senior leadership. In 2018, Schrage, a confidant to Meta CEO Mark Zuckerburg, stepped down from his role in executive leadership (though he continued to work on special projects after). Another advocate, CFO Dave Wehner, who had overseen the housing team, stepped down in 2022, and could no longer shield it from the finance team's scrutiny. Wehner did not respond to a request for comment.
By 2022, Meta was under new pressure - having hemorrhaged money on its pivot to the metaverse and augmented reality, the company laid off 11,000 workers. Budgets shrank. Priorities changed. And the housing initiative - never core to the business - was among the casualties.
Though their work was cut short, former employees and nonprofit partners told the Bay Area News Group that Meta's team had positive impacts on housing affordability in the Bay Area.
"I am extremely proud of the innovation and impact we were able to have during my three years on Facebook's Housing Initiative Team," said Lindsay Haddix, who was one of the initiative's first employees, and was laid off in November 2022. "It felt like we were really gaining momentum."
Now, she leads East Bay Housing Organizations, an affordable housing advocacy nonprofit that formerly received grants from Meta. She's worried about where they'll turn for funding, especially now that Mark Zuckerberg's philanthropic organization, the Chan Zuckerberg Initiative, has also retreated from the housing space and public funds are drying up.
"Their money helped make real progress in solving the housing crisis," Haddix said, "and I'd love for Meta to consider reviving its commitment to this work."
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And so these are examples of AI that is embedded within these devices that we interact with, usually by voice or with gestures. Sometimes there's a more physical button that we might press or something that we might toggle, but the idea is really that AI gets embedded within the hardware itself rather than the human, the user, us being tied to some screen or some interface that we're used to seeing as a laptop or a phone. Alex Ossola: Who is leading this trajectory? Who's leading the pack? Belle Lin: What we've seen from OpenAI and Jony Ive's company is this collaboration called io, in which Jony Ive and his team will serve as the creative brain behind this new device that OpenAI will release, this sort of family of devices. And they've been pretty tight-lipped about what the device will look like and what it will do, but they've said a few things like it'll be ambient, it'll be this third core device that you put on your desk after your MacBook and your iPhone. And so you could say that they're leading the pack because they're promising a lot of what has yet to come, but they have this really great heritage in the whole Apple ecosystem and the design aesthetics that Jony Ive has put out. And also they have the models, they have the fantastic models that OpenAI has pioneered so far that are still state-of-the-art. So when you combine these two technology powerhouses right now, you get a bunch of promises, but they seem pretty promising. Alex Ossola: It sounds like there are a bunch of different kinds of applications, consumer-facing, more heavy industry, kind of something in between in the form of self-driving cars. Do we have a sense of which of these might sort of come first and how the developers of AI are thinking about monetizing those phases? Belle Lin: Monetization questions are always front and center because so many of these startups are funded by venture capital firms who need to see a return, and there's so much cash that's being injected into AI right now. Some of the ways in which they're monetizing are in the software side, on the models themselves. So you could sell on a word or a bit basis the ability to use OpenAI's models in other services and other technologies. In the wearable side, the selling of the hardware itself plus the software upgrades. But at this point, it's still really about adoption and figuring out which areas in the consumer world really stick. And then if we're talking about the heavy industry side, that's where ROI becomes a lot more important because you can shave a lot of costs by automating human labor away. And so that's where a lot of the warehouse and logistics companies are hoping to have an impact on their bottom lines. Alex Ossola: Coming up, AI developers may already be making the next generation of artificial intelligence, but if they build it, will the customers come? Stay with us. Belle, we've been talking a lot about the developer side, how AI gets made and what form it'll be in, but now I want to talk about the people who are going to be buying it and using it. Lots of companies have started using AI. According to a survey by McKinsey, 78% of companies say they use at least one AI function. So it seems like companies need to show they're integrating AI into their operations. Would you say this is an existential need for companies right now? Belle Lin: Oh, absolutely. There are really existential questions for categories of companies like law firms that have questioned what is the value of the billable hour, because so much of what AI is really good at automating away right now is reading and summarizing through texts and being able to provide synthesis of answers, and that's kind of early stage paralegal work. So if companies don't embrace AI, there's the question of will we still exist in 10 years timeframe? Never mind questions of will we be using AI pins and devices? We need to embrace AI now or else we won't be around. Alex Ossola: So that kind of brings me back to this other existential question about physical AI. Who actually wants this? Belle Lin: Well, if you look at examples of where physical AI exists now, I know we've talked about warehouses and factories. But there are also great examples of where wearable headsets like the Apple Vision Pro and the Meta Quest and many others that have been around for a while have huge applications in the military, for instance, for training the armed forces and in training for surgeries and home services where you have skilled trades like plumbers and air conditioning technicians, learning how to build the physical engines that keep homes running as well as jet engines, technicians learning and figuring out how to troubleshoot them. So there's great examples of where physical AI and augmented reality, which is a really early version of bringing AI into the real world, already have a lot of value. And so you might see more acceleration in areas where AI in the real world are already having an impact, but once it becomes much more useful, you could see things like basic knowledge work becoming a lot more augmented because the ability to stream someone's virtual presence into a meeting room makes it that much better and there's no longer a need to have an in-person meeting. Alex Ossola: One of the things that is in the news cycle about AI right now is just how unbelievably expensive it's been. Companies are shelling out billions of dollars to build these data centers. Because they are doubling down on AI being the future, is there enough demand in all of these different applications for physical AI that we've talked about that will bring down those costs of the data centers or will they just keep skyrocketing? Belle Lin: A lot of this goes back to the AI models and the software layer because as they become more efficient, then the promise is that they require a lot less GPU compute and power going into the data centers. And so when the models become more efficient themselves, even though they are quite large and unwieldy, they can be trained much more efficiently. From that point of view, costs will certainly start to come down in terms of the infrastructure. But at the same time, other costs will need to come down as well. The cost of hardware in a really general sense is still quite high, the chips required to basically power Apple Vision Pro or to power a humanoid robot or to power self-driving cars, those are not quite commoditized. They're still quite expensive. Alex Ossola: So as developers make these devices and software and as companies figure out how to use them, whose responsibility is it going to be to figure out how to actually make money off of this? Belle Lin: Yeah, a lot of the AI developers and the AI startups will be hard-pressed to come up with an answer on how to actually monetize what they're building. Right now, a lot of them are funded by VC dollars, are backed by research or other types of grants and funding. And so there will be this sort of inflection point where either their technologies or their devices, their robots, their cars catch on with consumers or they don't. Because as we look at some of the other waves of technology that were funded by VC dollars, like the Ubers and the Lyfts of the world, there's this limited timeframe in which they can be funded by venture capital dollars until they have to show their metal. Alex Ossola: And how about for the companies using the products? Belle Lin: For the companies, that's already a really pressing question. ROI has been challenging since the dawn of the ChatGPT, AI era that we're in now, about three years ago. Companies have been investing heavily in AI models and AI technologies, but there's really not a clear way to determine whether or not they're paying off. So you could say that productivity of workers has gone up, but it's hard to measure. You could say that sales have gone up, but that's also hard to measure. So measuring AI's value has been a question for tech executives for the past several years and continues to be, but there's a lot of economic incentives that are aligned in trying to make sure that the AI companies are profitable and that companies are saving on the bottom line and generating top line revenue that the market forces kind of end up working out in some way. Alex Ossola: That was WSJ reporter, Belle Lin. Thank you so much, Belle. Belle Lin: Thanks for having me. Alex Ossola: And that's it for What's New Sunday for June 15th. Today's show was produced by Charlotte Gartenberg with supervising producer Michael Kosmides and deputy editor Chris Zinsli. I'm Alex Ossola and we'll be back tomorrow morning with a brand new show. Until then, thanks for listening.