Forbes Daily Briefing

The financial technology industry has become a world of haves and have-nots. Take San Francisco payments company Stripe, which helps millions of merchants accept credit cards, process stablecoin transactions and manage billing tasks. In 2025, it brought in $6.9 billion of net revenue and $1.2 billion of earnings before factoring in interest, tax, depreciation and amortization expenses, according to a person familiar with its finances. Revenues were up more than 30% from 2024. That’s world-class scale and growth, but its recent valuation of $159 billion, which has afforded each of the Collison brothers a $17.5 billion fortune, means its private backers think it’s worth nearly five times Adyen, a Dutch fintech and close competitor. Unlike Stripe, Adyen is publicly traded. It processed $1.6 trillion in payments last year compared with Stripe’s $1.9 trillion. Stripe loyalists will point out that it has more business lines than Adyen and is growing faster off of a larger base. But the chances that Stripe could maintain a $159 billion valuation if it went public today are slim. Public investors value e-commerce platform Shopify at $165 billion, and it grew nearly as fast as Stripe last year and had more than double the profits. A Stripe spokesperson declined to comment. Learn more about your ad choices. Visit megaphone.fm/adchoices

After moving to a new city in North Carolina in 2024, Cookie (a pseudonym) felt the weight of a new city. Their husband was traveling a lot for work, and as a stay-at-home parent with a now 4-year-old daughter, the days were “very draining”. Since Cookie didn’t know anybody in their new town, they turned to Janitor AI, a social chatbot site known for its unbounded, often explicit, fantasy roleplay. It was a “nice release,” Cookie told Forbes. Cookie grew up around fantasy and romance novels—their mother kept a collection—and Janitor AI became an easy way to escape the drudgery of the day-to-day. By the time their daughter is down for a nap or tucked in for the night, Cookie is creating "slow burn" romance characters with detailed and often explicit prompts. There’s Charlie, a nudist werewolf roommate; Marcus, a seven-foot ghoul with a taste for dive bars; Greenwood, Colorado, a fictional town where humans live alongside supernatural “demihumans.” Beneath Greenwood’s romance and monster lore is a civic rot: a glossy new church masking an organ-harvesting operation, with seedy bars serving as bait. Cookie is one of Janitor AI’s 2.5 million daily, die-hard users. The platform claims more than 15 million total users and with 100 million monthly visitors, and it's the tenth most popular consumer AI app, according to Similarweb, a digital market intelligence company. By Anna Tong, Forbes Staff Learn more about your ad choices. Visit megaphone.fm/adchoices

The WNBA tips off its 30th season on Friday, but across those three decades, it has never experienced anything like the Golden State Valkyries, on the court or off it. Last year, the Valkyries became the first expansion franchise in league history to reach the playoffs in its inaugural season and sold out all 22 of their home games to set a league record with average attendance of 18,064. By the end of the regular season, Golden State had generated $78 million in revenue, not only breaking another WNBA record but also surpassing more than half of the clubsin a more mature men’s league, MLS. As the team enters its second season, the Valkyries have raised prices yet managed to expand their season-ticket base by 2,000 seats, to 12,000, proving that there is still room to run—and helping them race to the top of the WNBA’s most valuable teams, worth an estimated $780 million. The Valkyries are not the only ones on a financial fast break, however. The 2025 WNBA season also saw the three next-best revenue totals in league history—the Indiana Fever’s $58 million, the New York Liberty’s $43 million and the Las Vegas Aces’ $34 million, according to Forbes estimates—and no team is now worth less than $250 million. By Brett Knight, Assistant Managing Editor Learn more about your ad choices. Visit megaphone.fm/adchoices

Inside a climate-controlled room at lender Luxury Asset Capital’s Manhattan office, rows of Hermès handbags line the shelves: Mini Kellys in exotic skins worth roughly $75,000 each, diamond-encrusted Birkin bags and other limited-edition pieces that are worth six figures. Nearby, a first edition of The Catcher in the Rye (which can sell for as much as $50,000) sits alongside contemporary artwork, including a Yoshitomo Nara drawing, worth more than $200,000. Down the hall, safes hold scores of Rolex watches, diamonds and gold jewelry, all meticulously tagged and sealed. And none of it is for sale. The items are all collateral—pledged by ultra-wealthy borrowers seeking quick cash. Denver-based Luxury Asset Capital runs its operation with the basic mechanics of a neighborhood pawn shop and the discretion of a Swiss bank. Borrowers pledge their watches, jewelry, handbags and fine art in exchange for short-term, nonrecourse loans—often funded within a day. One borrower who manages a large hedge fund hocked his wife’s eight-carat diamond ring—worth upwards of $600,000—after receiving a large margin call (the loan was eventually repaid and the ring was returned. Another client once brought in an Emmy award as collateral. By Sergei Klebnikov, Forbes Staff Learn more about your ad choices. Visit megaphone.fm/adchoices

Over the last year, as its CEO Sam Altman preached a gospel of insatiable compute, OpenAI has created a web of deals that tie a meaningful chunk of Silicon Valley’s AI buildout to its own trajectory. Big names like Nvidia, Oracle and SoftBank have all inked infrastructure contracts with the ChatGPT maker, but there is one company perched further out on a limb than the rest: CoreWeave, an AI cloud company with a roughly $60 billion market cap. The Wall Street Journal reported Monday that OpenAI missed internal projections for revenue and user growth. It claimed OpenAI CFO Sarah Friar is worried the company may not be able to pay for future computing contracts. If that’s even directionally right, it will land hardest on CoreWeave—which counts OpenAI as one of its biggest customers and has borrowed more than $40 billion in mostly high-interest debt used to finance GPUs and data centers. CoreWeave’s view, at least publicly: it can ride out turbulence as long as demand for AI compute keeps outrunning supply. "OpenAI is a terrific partner, but not our only one,” a CoreWeave spokesperson said, namechecking other big-name customers including Meta, Anthropic, Microsoft and Google. “As more companies build and deploy AI, demand for compute continues to grow. We continue to see demand exceed supply across the AI ecosystem.” Problem is: that “AI ecosystem” is not a broad-based consumer market so much as a coterie of spenders writing very large checks. Trillions of dollars’ worth of infrastructure commitments are concentrated in a few places: big tech balance sheets (Oracle, Meta, Microsoft and Nvidia) and a handful of newer entrants that buy AI capacity and then rent it out (like CoreWeave, Nebius and Nscale). CoreWeave’s model—buy GPUs, spin up data centers, lease the capacity to labs—turns that concentration into both opportunity and fragility. By Phoebe Liu, Reporter Richard Nieva, Senior Writer. Learn more about your ad choices. Visit megaphone.fm/adchoices

Spend enough time on X these days and you may see a number of posts marveling at Sam Bankman-Fried’s venture “genius.” Had FTX not imploded, its founder might now be remembered as one of the greatest venture investors ever, they say. Anthropic, Cursor, Robinhood — these were just a few of the hundreds of bets Bankman-Fried made when his crypto empire was thriving. “The fact that Sam invested early in Anthropic and Cursor is astonishing,” marvels Rory O’Driscoll, a partner at Scale Venture Partners, of two of Silicon Valley's leading artificial intelligence companies. Cursor, an AI coding specialist, has recently struck a deal with SpaceX potentially valuing it at $60 billion, and Anthropic, one of the AI leaders, is being valued at $900 billion. “To pick two of the most important companies in the post-’21 crash and nail it…What a talent, what a willingness to look at new stuff before the ChatGPT moment, when people were saying, ‘this might work, who knows.’” Except, of course, for the matter of whose money Bankman-Fried was investing. Once hailed as the “next Warren Buffett,” he is serving a 25-year federal prison sentence in San Pedro, CA for orchestrating one of the largest financial frauds in history and stealing more than $8 billion from FTX customers, in part to fund these investments. Before his arrest in December 2022, he graced the cover of the Forbes 400 and was estimated to have a personal fortune of $24 billion at its peak. By Nina Bambysheva, Deputy Editor Learn more about your ad choices. Visit megaphone.fm/adchoices

Last year, the GOP’s legacy donor class and its newer crop of tech and finance billionaires found common cause: writing enormous checks to support Donald Trump. In February, billionaire Kelcy Warren and his fossil fuel pipeline company, Energy Transfer, each sent $12.5 million to MAGA Inc., a Trump-aligned super PAC. Just a few months later, OpenAI cofounder and president Greg Brockman and his wife cut checks for $12.5 million each. That makes Warren and Brockman the biggest individual donors to MAGA Inc. But the roster is deeper than two names and four eight-figure checks. Forbes counts at least 24 billionaires or billionaire families who have given over $1 million, according to Federal Election Commission filings covering through the end of March. (Brockman is not currently on Forbes’ list of billionaires, but he did claim to be one in testimony related to Elon Musk’s lawsuit against OpenAI). Collectively, these ten-figure club members, plus Brockman, donated $118 million, about a third of the $350 million war chest MAGA Inc has built. By Kyle Khan-Mullins, Forbes Staff Learn more about your ad choices. Visit megaphone.fm/adchoices

Last week, Strategy overtook BlackRock, issuer of the world’s largest bitcoin exchange-traded fund, IBIT, to become the world’s largest institutional holder of bitcoin. The milestone followed yet another enormous purchase: between April 13 and April 19, according to a recent Securities and Exchange Commission filing, Strategy bought $2.54 billion worth of bitcoin, its largest acquisition since November 2024. The purchase brought the company’s total holdings to 815,061 BTC—about 3.88% of bitcoin’s fixed 21 million supply—currently worth around $65 billion. The only larger holder is thought to be Satoshi Nakamoto, the elusive founder of the cryptocurrency who disappeared 15 years ago. The funding for Strategy’s latest bitcoin buying spree is not coming from flooding the market with common shares or convertible debt, but mainly from what traders affectionately call “Stretch,” a high-yield perpetual preferred stock the company has been issuing under the symbol STRC. Saylor, Strategy’s chairman, has been touting Stretch as the critical underpinning of the next phase of his bitcoin empire. From 2020 through 2024, Strategy financed its bitcoin binge largely by selling convertible notes and issuing common stock. It was a shrewd display of financial engineering while it lasted. As bitcoin climbed and investors bid Strategy shares to eye-popping premiums over the value of the company’s underlying bitcoin, Saylor could keep issuing more bonds convertible into stock and selling common shares to hedge funds and other investors anticipating a windfall. At points, the stock traded at two to three times the value of bitcoin on its balance sheet. By Nina Bambysheva, Deputy Editor Learn more about your ad choices. Visit megaphone.fm/adchoices

The AI boom created a colossal market for compute—GPUs, networking gear and the massive datacenters that run it all. It also bolstered a second less celebrated market: protecting those facilities and the crown-jewel chips inside from threats. On top of rising anti-data center sentiment stateside, the war in Iran has turned that problem into a line item. “Data centers are secondary targets right after obvious military sites,” says Matt McCrann, former executive at drone defense company DroneShield, who has worked with data centers in the U.S. and Middle East. That shift matters because the AI data centers being built these days aren’t just expensive—they’re also possible strategic infrastructure during times of war. Enemies don’t need to hit a military site to degrade an opponent’s capability; they can hit compute that potentially underpins communications, logistics, payments and even military planning. Learn more about your ad choices. Visit megaphone.fm/adchoices

There’s a new member of the $300 billion club and a second sibling from America’s richest family among the planet’s ten wealthiest people. Learn more about your ad choices. Visit megaphone.fm/adchoices

Mariana Minerals CEO and cofounder Turner Caldwell is betting that the next big use for AI won’t be another chatbot—it’ll be a copper mine. His startup, Mariana Minerals, is launching the world’s first autonomous mining operation today at its Copper One mine in remote southeast Utah: automated drills do the digging, giant robotic haul trucks move ore for processing, and an AI-enabled platform called MarianaOS will track and direct the entire operation. The company is even using Boston Dynamics’ Spot robot dog, packed with sensors, to patrol the 10,000-acre site and inspect conditions. If it works, Mariana could help boost both U.S. copper supply and U.S. copper refining as demand for the metal climbs and the politics around “critical minerals” grows louder. In a few years, the company could be generating hundreds of millions of dollars in revenue from both the Utah copper mine and a separate lithium refining operation it’s setting up in Texas, recovering the mineral from wastewater from oil and gas fields. Learn more about your ad choices. Visit megaphone.fm/adchoices

Shulman is spinning up a new song. His electric bass guitar hangs idly on a nearby wall. A 61-key synthesizer and drum kit remain untouched a few doors away. Instead, he types a few sparse phrases – pedal steel guitar, country Americana folk, acoustic guitar — into his startup Suno’s AI music generation software. A few seconds later, a song comes to life: fluid guitar strums and human-sounding vocals with a smooth Southern accent soar over an upbeat tempo. It’s instantly catchy, like if Ella Langley met Lana Del Rey. The tune isn’t a chart-topper or a summer hit, but it’s evidence enough for why more than 100 million people have now used Suno to make music. Suno-created songs have gone viral on TikTok, debuted on Billboard charts and racked up millions of streams. Over 7 million songs are made on the app every day, catapulting it to the top of the Apple App Store’s most downloaded music apps in April — surpassing Spotify. “The technology finally allows for billions of people to be creative, to have the fruits of their labor, to feel fulfillment in a different way,” says CEO Shulman, 39. He calls it a “new form of consumer entertainment.” By Rashi Shrivastava, Writer Learn more about your ad choices. Visit megaphone.fm/adchoices

“Mommy and daddy would always bring home boring notebooks, pens, and chargers with company names on them, but that would just go in the trash. But why not stuffies? You never throw stuffies away.” Quincy Fuller is 8 and already delivering that line like he spent too much time in pitch meetings. He and his 10-year-old brother, Jackson, are co-CEOs of Stuffers, a family-run business that makes custom stuffies, or plush toys, for corporate swag. Their customers include companies like Reddit and marketing agency New Engen. Their office is their play room. Their design team includes an AI model. Their first-year revenue: $100,000. That makes the Fuller siblings a case study for the "AI-native" generation, one where the gap between a child’s imagination and the finished product has effectively vanished. In previous decades, kids’ entrepreneurship was limited by what they could do physically. Delivering newspapers. Squeezing lemons for lemonade. Mowing lawns. But with AI, the internet, and parents handling the adult work, the gap between a kid’s idea and a manufacturable product has dramatically narrowed. By Anna Tong, Forbes Staff Learn more about your ad choices. Visit megaphone.fm/adchoices