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On November 14, hotel and short-term apartment rental chain Sonder Holdings filed for bankruptcy, just days after suddenly announcing it would be winding down operations immediately, abruptly kicking guests to the curb and sending employees scrambling for answers. The company had faced major, unforeseen costs from a deal signed in August 2024 to integrate reservation systems with Marriott International and promote Sonder listings through the hotel giant, according to a statement issued four days earlier. Sonder had long been an outlier in the short-term rental space, which was a big part of its appeal to investors. Most of its competitorsshort-term rental companies like Kasa and AvantStay, the big hotel chains, and individual hotels and bed-and-breakfastseither own and operate their own properties or manage them on behalf of owners for a cut of revenue and profits. Sonder, by contrast, took out long-term leases on apartment units so it could rent them out for short-term stays, a business model similar to that of WeWork, the once high-flying chain of coworking spaces. But that model wound up saddling Sonder with fixed costs from long-term leases, especially rent payments. That held true even when competition or low demand limited how much it could make from guests, or other unexpected costs from factors like post-pandemic inflation or the Marriott integration added up, analysts and others in the industry tell Fast Company. We call it rental arbitrage, where you take out a long-term lease on an apartment building, and then you try to make more than that in short-term leases, says Jamie Lane, chief economist at short-term rental analytics firm AirDNA. Lane also raises the comparison to WeWork, which famously filed for bankruptcy protection in 2023, entering a court-approved restructuring plan the following year. (Sonder didnt reply to an inquiry from Fast Company.) Experts say Sonder’s failure isn’t an indictment of the short-term rental model or the larger hospitality sector writ large, but rather the result of mixing high fixed costs with variable income in a competitive marketplace. Still, other companies applying that approach to hospitality largely failed in the early days of the COVID-19 pandemicand Sonders abrupt shutdown suggests investors are unlikely to back such a model again anytime soon. The broader story here is that the lease-arbitrage model has proven economically destructive across real estate cycles, says Roman Pedan, founder and CEO of hotel and apartment-rental operator Kasa, which runs more than 70 properties across the country. It’s sort of a weapona toxic weapon of financial destruction. The rental-arbitrage model In the heyday of coworking-space businesses like WeWork and before the pandemic disrupted the travel industry, the rental-arbitrage approach made sense to investors. Sonder essentially applied the WeWork model to travel lodging, replacing the traditional front desk with a tech-forward approach to check-in and guest services (made popular through Airbnb and Vrbo). Other companies with a similar model, including Stay Alfred, Domio, and Lyric, shuttered in 2020 amid pandemic travel disruptions. Many hospitality chains make money through management agreements in which they share revenue with building owners or other hotel and short-term rental operators that both own and operate their own real estate. Sonder, by contrast, leased the majority of its listings from building owners at a fixed rate, according to the companys annual report. For a time, that model made Sonder into an investor darling. Just over six years ago, the company achieved unicorn status, raising a $225 million Series D round at a $1.1 billion valuation. In 2022, the company went public through a special purpose acquisition company (SPAC) merger that valued the company at $2.2 billion. Sonder closed out 2024 with more than 9,900 hotel rooms and furnished apartments available for rent across 41 cities in nine countries, according to its annual report to investors. And the contract with Marriott brought in an additional $15 million in startup key money payments to Sonder since its signing last year. Sonder had gotten lucky,” Lane says. “They had raised money just before the onset of the pandemic, so they had a good war chest to sort of get them through it. And the company later got subsequent boosts from the SPAC deal (which included an additional $310 million in investments) and the Marriott arrangement. Though the industry has long faced criticism for converting long-term rentals into vacation lodging, constraining the housing supply and at times introducing disruptive travelers into quiet neighborhoods and apartment buildings, occupancy is up overall from before the pandemic, Lane adds, though numbers havent yet recovered in some major cities where Sonder offered rentals. In short, others in the industry say, the problem is with the lease-arbitrage model, not the concept of renting whole homes or apartments to tech-savvy travelers. Significant capital commitment Sonders business model may have also seemed like a boon to property developers, especially when the company would lease out entire buildings to effectively convert into apartment-style hotels, says Emir Dukic, founder and CEO of Rabbu, a real estate marketplace for short-term rental owners. The practice, though often criticized by housing advocates for taking entire buildings off the traditional rental market, saved landlords the trouble of finding individual long-term tenants. Something that usually, as a landlord, would take you a year to lease up in a building, Sonder came in and did it overnight, and made a significant capital commitment to get those leases, Dukic says. So it was a win-win situation at the time for both parties, and they were able to scale it quickly. Those apartment-style units, often larger than traditional hotel rooms, were likely appealing to Marriott for effectively expanding the chains portfolio, Dukic explains. But they were also commonly clustered in competitive urban markets with other hotel and apartent rental options nearby. Even with self-check-in and other tech features, hospitality remains a labor-intensive business, he adds. Rooms still need to be cleaned, and someone still needs to be on call around the clock to help guests with lockouts, clogged toilets, or flaky Wi-Fi. Most of Sonders inventory was subject to fixed leases, whereby we agree to a fixed periodic fee per unit that may be subject to negotiated rent escalations, according to the companys annual report. In other words, unless landlords were willing to renegotiate, those payments would remain due regardless of what room rates the company could demand, rising costs due to inflation, or the apparent failure of the Marriott agreement to significantly boost occupancy. What about the landlords? Lane and others emphasize that the short-term rental industry, which includes a mix of chain businesses and smaller operations renting houses and apartments to travelers, is still generally faring well. But what Sonders bankruptcy will mean for building owners, essentially its landlords, remains unclear. The company had already exited some 3,300 units across 85 buildings as of June 30, 2025, according to the company report, and Pedan says Kasa has taken over management of more than a dozen former Sonder properties. Kasa, which announced a $40 million investment round in August, citing more than $100 million in annual booking revenue, typically operates with a more standard hotel management contract. Kasa is responsible for day-to-day operations, including marketing, housekeeping, and pricing, while building owners are responsible for capital improvements, which can include things like HVAC and roofing upgrades. The companys agreements ensure both parties benefit when properties do well, keeping interests aligned, Pedan says. When I say aligned, I mean we want to win when the owner wins and make less when the owner is making less, he says. So we make money as a percentage of their profit and their revenue. Another short-term rental management company, AvantStay, also issued a statement on November 10 urging landlords affected by the Sonder shutdown to consider adding their buildings to AvantStays portfolio of more than 2,500 properties. The company has already connected with a big fraction of affected property owners, says founder and CEO Sean Breuner, who like others remains optimistic about the industry as a whole. I think the industry is very healthy, Breuner says. Its alive and well, and demand in aggregate is the highest its ever been since we started 10 years ago. Sonders shutdown came shortly after Marriott announced the termination of the companies deal due to Sonders default. (Marriott didnt respond to an inquiry from Fast Company.) But in a filing in the bankruptcy case, the company said it ended the agreement and reached out to guests after concerns that Sonder would abruptly lock paying customers out of their rooms. Guests who were occupying Sonder-managed properties might be prevented from retrieving their personal belongings, including medication, passports, personal effects, or other essentials, according to Marriott. Just before the bankruptcy filing, Janice Sears, interim CEO of Sonder, declared in a statement that the company had reached a point where a liquidation is the only viable path forward, with guests and employees alike abruptly given notice that operations would shut down. At least two lawsuits have been filed by Sonder employees alleging the company violated federal and state laws requiring warning periods before mass layoffs. Brian Nettle, an attorney who represents a Sonder employee seeking class-action status in one of the cases, says, It’s just an unfortunate situation for plaintiffs in the class to have just lost a job suddenly.
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Inside a lab at the Massachusetts Institute of Technology late last year, scientists gave an AI system a new task: designing entirely new molecules for potential antibiotics from scratch. Within a day or twofollowing a few months of trainingthe algorithms had generated more than 29 million new molecules, unlike any that existed before. Traditional drug discovery is a slow, painstaking process. But AI is beginning to transform it. At MIT, the research is aimed at the growing challenge of antibiotic-resistant infections, which kill more than a million people globally each year. Existing antibiotics haven’t kept up with the threat. The number of resistant bacterial pathogens has been growing, decade upon decade,” says James Collins, a professor of medical engineering at MIT. “And the number of new antibiotics being developed has been dropping, decade upon decade.” The research, recently published in the journal Cell, is part of his labs Antibiotics-AI Project and offers one example of AI’s potential in medicine. The team tried making a small number of the compounds, and then used one to clear a drug-resistant infection in a mouse. In another part of the study, the researchers used a different approach to generate additional molecules, leading to another successful test in miceand the possibility that novel, fully AI-designed drugs may eventually be available for the most dangerous infections. [Source Image: Walter_D/Adobe Stock] The current challenge The standard approach to creating new antibiotics involves screening an existing library of compounds, one by one, or sifting through samples of soil to find promising new candidates. Since the 1980s, the Food and Drug Administration has approved a few dozen new antibiotics, but most of them are minor variations on drugs that already exist. What’s happened in the last couple decades is, it’s largely been a discovery gap where folks are discovering antibiotics, but they’re more or less very similarand they are analogs to existing antibiotics, Collins says. The challenge is compounded by poor economics for drug companies. It costs effectively just as much to develop an antibiotic as it does a cancer drug or blood pressure drug, for example, he says. With an antibiotic, you might only take it once or only over a few days, whereas with a cancer drug or a blood pressure drug, you could take it for many months, years, or even for the rest of your life. With each use, an antibiotic also only makes a fraction of the profit.” All of this means that if youre infected with bacteria thats hard to treatlike methicillin-resistant Staphylococcus aureus (MRSA), which also resists many other drugsthere are fewer options available. In the U.S., MRSA kills an estimated 9,000 people each year. [Source Image: Walter_D/Adobe Stock] Evolving uses for AI The Collins Lab has been studying antibiotics for around 20 years. Initially, the team used machine learning to better understand how antibiotics work and to look for ways to make existing antibiotics more effective. Around six years ago, they started using artificial intelligence as a platform for antibiotic discovery. They used AI to screen existing libraries of compounds to look for new antibiotics, leading to the discovery of new molecules that worked against infections in new ways. A spin-off nonprofit, Phare Bio, is now working to move promising candidates toward the market. The biotech company hopes to launch a trial of halicin, a drug initially developed for diabetes treatment in 2009 that was discovered to have powerful antibiotic properties by Collins’s research team a decade later. The latest research goes a step furthernot just screening through existing compounds, but creating new ones. The scientists used two different approaches. First, they used a library of millions of chemical fragments known to have antimicrobial activity, and used the algorithms to turn those fragments into complete molecules. In the second approach, they used the AI to freely design new molecules, without starting from existing fragments. As the computer churned through new designs, the researchers were free to work on other tasks until the AI was done. After the molecules were generated, “we applied a series of down-selection filters to prioritize which ones to synthesize and test,” says Aarti Krishnan, a senior postdoctoral fellow in the lab. “Those steps took a few days and involved human feedback, where medicinal chemists manually inspected over 5,000 candidate molecules and selected them for synthesizability.” Actually making the molecules was challengingsome of the AI’s ideas were so wild that they would either be impossible or impractical to manufacture. (This will improve as the AI evolves.) But the team was able to make a small number. From the part of the study that worked from fragments of existing molecules, the scientists were able to make two candidates, one of which was very effective at killing drug-resistant gonorrhea bacteria. From the part of the study that let AI freely design new molecules, they synthesized and tested 22 samples, ultimately advancing one candidate in a successful test that treated drug-resistant MRSA in mice. Now, the lab’s nonprofit partner is continuing to work on both molecules so they can undergo more testing. [Source Image: Walter_D/Adobe Stock] A new use for generative AI While the use of AI in drug development isn’t new, this particular application of generative AI is. “To our knowledge, this is the first generative-AI approach that’s designed completely novel antibiotic candidates whose structures do not exist in any commercial vendor space,” Krishnan says. Drug development is still a slow process, and moving through human trials will continue to take time. But AI can clearly help in the early discovery phase, reducing cost and increasing the chances of success. “AI allowed us to explore much larger chemical spaces than are currently available from screening libraries. And in doing so, it opened up these new molecules for our consideration,” Collins says. The approach could also be useful for other types of medicine. “All of the AI methods that we use could be readily extended to other indications,” he says.
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Apparently any place looks better if you just say its Japan. Thats according to a TikTok trend, dubbed the Japan effect. First reported in Casey Lewiss youth trends newsletter After School, the trend has users making slideshows of two images. For all intents and purposes they are the same, except one is labelled with the original location and the second is labelled Tokyo, Japan. The idea being that the Japan effect is so strong, just the location tag can filter how we perceive an ordinary street or an average American neighborhood. Scrolling through the comments, those watching these TikTok videos genuinely believe the second image looks better than the first. Ive seen so many of these videos and its made me realise my own huge Japan bias, one comment read. Why is it so real. (Some do play around with the saturation or add soft pink filters which somewhat undermines the theory). Others suggest the Japan effect has little actually to do with Japan. Instead, its an example of the grass always being greener or the shift in perspective when we take a moment to romanticize the mundane parts of life, they say. America is actually pretty beautiful, it’s just a psychological barrier to being able to appreciate things you see on a daily basis, one user commented. I sometimes do that in my own house, another wrote. If this was an Airbnb, Id be having a blast. Really makes you appreciate what you have. And yet the America effect doesnt have quite the same charm to it. Japan simply has a reputation for making everything that bit cooler. Even 7-Eleven is better in Japan. Japanese culture also appears to yet again be having a moment. From the explosion in popularity of anime on streaming giants like Netflixthe company says anime viewership on the platform has tripled over the past five yearsto the rise of matcha. In the U.S., retail sales of matcha are up 86% from three years ago, according to NIQ, a market research firm, so much so the bright green drink has become a bona-fide accessory. Its no surprise, then, that Japan has become a top destination for young travelers. Gen Z and millennial visits to the country are up 1,300% since 2019. Japan is now the most popular country on social media, according to a 2025 Titan Travel study. The country has experienced a 50% increase in search volume over the past three years, with 184 million Instagram posts, and 15.6 million TikTok hashtags for #Japan, according to the report. Of course, the temptation to romanticize and exoticize foreign countries is a large part of the reason people travel in the first place. Simply put, the Japan effect exists, as one TikTok user noted, because we associate this country with pain suffering and heartbreak.
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Panera Bread is spending millions to overhaul its menu in an attempt to lure back the customers its lost in recent years. In a downward fast-food spiral, Panera hasnt significantly increased its revenue since 2023. Now, the company says its putting money back into better ingredients, staff, and its cafés. The St. Louis-based chain, known for its sandwiches, soups, and salads, hasnt been delivering on its signatures. Panera last year started using the cheaper iceberg lettuce in its salads, for example, and customers werent happy. You know what guests told us? said Paul Carbone, CEO of Panera Brands, the parent company of Panera Bread, Einstein Bros. Bagels, and Caribou Coffee. No one likes iceberg, and no one gets that and says, Oh, my god, that white salad, it looks so appetizing. Now, full romaine salads are making a comeback. In 2023, Paneras sales reached $6.5 billion, which is still about the highest it has been. The company said today that its goal is to clinch $7 billion in annual sales by 2028 from the roughly $6 billion it brings in currently. After surveying its customers, Panera found that they wanted better portions and improved cafés. The chain plans to increase portions and food variety. Its introducing drinks like frescas (fruit drinks) and energy refreshers (lower-caffeine beverages), and increasing salad toppings to eight ingredients from the regular five. Guests will notice that avocado halves and cherry tomatoes will be sliced, not whole, starting early next year. We make the guest chase the cherry tomato around the bowl, said Carbone, who assumed his role in March. Panera is also vowing to update its cafés, an important effort as around 25% of meals are eaten within restaurant walls. It had invested in kiosks for ordering, but it got to the point that customers couldnt find human employees, said Carbone. Now, the restaurant is pouring money back into labor and renovating the older café locations. What does the café of the future look like? Carbone said. Were doing a lot of work around that, were going to test different things. JAB Holding Company, the investment firm that owns Panera Brands, had planned to take the company public in 2021. The deal was broken the next year, and Carbone said its off the table until Paneras sales increase. Ava Levinson This article originally appeared on Fast Companys sister publication, Inc. Inc. is the voice of the American entrepreneur. We inspire, inform, and document the most fascinating people in business: the risk-takers, the innovators, and the ultra-driven go-getters that represent the most dynamic force in the American economy.
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AI image generators used to be terrible at handling text. Even once the models mastered hands with five fingers, the presence of mangled, nonsensical, vaguely Cyrillic-looking text was a dead giveaway that an image was generated by AI. Not anymore. Todays most advanced image generators have slowly improved their text generation. OpenAIs image generator within ChatGPT handles basic text tasks fairly well. And design-centered models like Ideogram are great for simple, practical text tasks like creating video thumbnails. This week, though, Google has released Nano Banana Pro, an updated version of its wildly popular AI image editing tool. Nano Banana Pro, like its predecessor, is middling when it comes to generating realistic AI photographs. But its absolutely amazing at creating beautiful, informative, accurate infographics. In fact, the model is so good that it can turn literally anything into a professional quality infographic in a matter of seconds. Dont Read To Me Personally, I absorb very little of what I hear. Im a visual learner, so if I listen to a presentation without taking physical notes or seeing some kind of visual aid, most of the information dissipates into the ether before my brain has any shot at absorbing it. Add background noise or a presenter who mumbles, and Im totally screwed. I love infographics because they take complex information and lay it out in a way my brain can grok. I can glance at a graphic and absorb more information than Id get in a two-hour lecture. In my testing, I was therefore thrilled to see Nano Banana Pros remarkable ability to take pretty much anything I threw at it, and turn the data into a bespoke visual aid. First, I started with some practical use cases. I fed Nano Banana Pro data on the recent performance of a YouTube channel Ive been developing called California Dad Reviews. Based on my analytics data, Nano Banana spun up an infographic showing whats doing well on my channel, several standout videos from the last month, and its recommendations for what to shoot next. In this case, I gave the model unique data from my channel. But because Nano Banana Pro is integrated within Googles Gemini 3 chatbot, it can also perform background research on its own. In another test, I asked the model to research the best times to cross the San Francisco Bay Bridge, and then present its results visually. Its impressively comprehensive and useful. Graphics Get Personal These kinds of informative graphics are helpful. Im sure that bloggers will be tripping over themselves to integrate Nano Banana Pros infographics into their SEO optimized posts. But in my testing, I found that the best uses for the tools new visual capabilities are more personal. I recently took my senior dog, Lance, to the vet for his annual checkup. He got some routine bloodwork, and his vets report was laden with medical terms and specifics. I fed the whole thing into Nano Banana Pro, and got a clean infographic summarizing the findings. Spoiler alert: hes doing great! The model is especially powerful because its able to process nearly any kind of input data. In planning a day trip for a large group in downtown San Francisco, I copied and pasted a long WhatsApp chat with lots of logistics into the model. It spat out a pretty graphic summarizing the days plans, complete with a bespoke map of the city. I shared it to the group, and people loved it. Show me the Visuals Again, as a visual learner, the ability to conjure up an infographic in a few seconds (and for free) from essentially any input data is incredibly valuable. Its also easy to do. You open the Gemini app, paste in the data you want to process, select the Create Image option, and let Nano Banana Pro plug away. Beyond dg health visualizations, though, Googles new model says a lot about where visual AI is going. In the early days of image generators, creating fun, bizarre images (Ballerina Cappuccina, anyone?) was enough to hold users attention. You can only generate so many AI cat photos or Hunky Jesus memes before the tech gets old, though. In response, AI companies are increasingly specializingcreating image generators that solve bounded, real-world tasks. Again, tools like Ideogram are tailored to designers. Adobe has a whole suit of generative tools built into its iconic Photoshop and Premiere products for photographers and videographers. And ChatGPTs models are perfect for things like making event posters. For Google, though, the endgame has always been about processing tons of information and summarizing it for users. We saw that in the companys classical 10 blue links, and more recently in its wildly popular AI Overviews. Now, Google appears to be using its AI image generation prowess to summarize and present information visually. That evolution means were almost certain to see Nano Banana generated infographic images appear within other Google toolsfirst AI ones like NotebookLLM, and later within live search results presented to everyday users. With my brains preference for visuals, Im thrilled to see this new direction play out. To get the ball rolling, I fed this entire article into Nano Banana Pro. True to form, the infographic is beautiful:
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E-Commerce
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