As AI companies get ready to go public and we get a deeper look at their inner workings, it’s only natural to have questions about their finances, like “Do they make money?” and “How?” Here are a few examples to help the average layperson understand the business side of AI. **1.** Acquiring one grape costs Alex $2 billion. Alex offers to sell Mike one grape a month for the next 12 months for $1 billion per grape. Alex asks for the full $12 billion up front and provides Mike with one grape for the first month. Alex makes a $10 billion profit this month; his ARR is $120 billion, and his profits are trending up at an infinite rate. _The Wall Street Journal_ ’s business editor moves into Alex’s house, having accepted a part-time position as Alex’s human footstool. He never asks to see the books. **2.** Laura drives a taxi. Instead of charging her customers a fee for every ride, she charges them a $20/month subscription. Laura has 40 million paying customers, totaling roughly $13 billion in annual revenue. Laura spends $25 billion/year on gas. In a fit of late-capitalist bloodlust, hordes of tech and finance bros riot in the streets, firebombing every rideshare, bus, and pedicab they can find, declaring the transportation business officially “over.” Also, Laura’s taxi cost her $1 trillion to attain, and she’ll have to replace it in four to eight years. **3.** Jenny owns a crematorium. John’s propane company gives her a $20 billion investment in return for 5 percent of her operation. Jenny throws $10 billion into the incinerator, then pays John $10 billion to buy propane to burn that money to ashes. John reports that his AI investments have generated $10 billion in revenue this quarter and that he owns 5 percent of a $100 billion business. A reporter from _Forbes_ is assigned to profile John and Jenny, and over the course of his research, he becomes embroiled in a passionate but confusing three-way love affair with them, which eventually turns into a polyamorous common-law marriage. His profile is glowing, but light on financial details. **4.** Benjamin owns a farm. He employs 100 workers plowing his fields. His total payroll is $10 million/year. One day, he buys a mule, which provides the worker who uses it with a modest 10 percent productivity gain. Benjamin fires 99 of his workers and purchases 99 mules, expecting a 1,000 percent productivity gain. The driverless mules cause plow damage to his property in excess of $50 million. Benjamin loses another $5 million due to the loss of productivity from his one remaining employee, who no longer guides a plow but instead spends 100 percent of his time shoveling mule shit. Goldman Sachs builds an altar to Benjamin in their lobby and cuts out the heart of a junior analyst on it every Friday. They call it “Blood Sacrifice Friday.” The name isn’t catchy, but the event becomes a management favorite nonetheless. **5.** Xavier owns an apartment that he rents out at a loss of $1 billion/month. Seeing this success, he decides to make financial commitments to construct $850 billion in new apartments in places nobody wants them. He convinces Ted to leverage everything he owns to help him build the apartments, telling him that once they are built, every human being on Earth will live in them. Ted contributes $100 billion, part of which immediately goes toward paying off Xavier’s $1 billion/month loss. _Forbes_ gives Xavier and Ted a cover feature, likening their building project to God creating the Heavens and the Earth. Many Fortune 500 CEOs take this comparison literally and establish a new religion around Ted and Xavier, with themselves as high priests. Soon, they start a Holy War with the pope, declaring “Ted and Xavier the One True Gods on Earth” and promising to “purge the nonbelievers” in an official press release. They annex, then subsequently demolish, Vatican City, committing another $900 billion dollars to build new apartments in its place. _Forbes_ hails this as “disruptive,” though it’s not clear how Ted and Xavier plan to finance the project. We hope these examples help clarify the inner workings of AI economics. But if you’re still confused, all you really need to know is that everything is totally working and everyone is making a lot of money, and you should just stop asking questions, luddite.

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