Money talks, and AI is its favorite subject. The question is: how long will this conversation keep going?

The AI transformation is re-defining jobs, transforming industries, and minting billionaires at an astonishing pace. This year, the rise of AI companies has resulted in what many are calling the "largest wealth creation spree in recent history."

AI Unicorns Are Everywhere: There are now 498 AI “unicorns,” companies valued at $1 billion or more. Over 100 of these were founded in 2023, a mere two years ago. Additionally, 1,300 AI startups have surpassed the $100 million mark, so even if you didn’t make unicorn status, the nine-figure club isn’t a bad place to be.

Public AI Giants Surge: The wealth isn’t just concentrated in private companies. AI-related public firms like Nvidia, Meta, and Microsoft are seeing their stock prices skyrocket, which is supercharging the entire industry and laying a strong foundation. CNBC’s Jim Cramer claims Palantir is “dramatically undervalued,” after the company posted its first $1B revenue quarter. The stock is up +143% this year, but you know, the sky is the limit here.

Notable New Billionaires & Their Companies:

The scale and speed of AI wealth generation is comparable to the to the dot-com era boom, but even so, the AI frenzy “makes the past two tech waves look like warmups.”

Another unlikely byproduct of the AI boom? San Francisco is back.

The surge in AI wealth is revitalizing the city, with more homes in San Francisco selling for $20 million or more than ever before. This is a “sharp turnaround for a city facing a doom loop just a few years ago.” It has even left New York in the dust, with 82 billionaires to the Big Apple’s 66.

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In a first-of-its-kind deal, Nvidia and AMD will hand over 15% of revenue from certain AI chip sales to China in exchange for export licenses, skirting the Constitution’s ban on taxing exports. The move lets Nvidia resume shipments of its H20 chip, a workhorse for AI inference (making predictions) rather than training. Washington doesn’t see the H20 as a major national security risk since it’s far slower than the flagship Blackwell chip and was reaching China despite the ban, so might as well cash in.

The dust has settled after GPT-5’s release last week, and early reactions are mixed. Many users say they preferred older models like 4o and 4.1, citing slower responses, fewer model options for Plus subscribers, and a 200-messages-per-week cap. While GPT-5 tops benchmarks, critics view it as an incremental upgrade overhyped by Altman’s Death Star–teasing rollout, and unless OpenAI smooths out the bugs, loyal users may look elsewhere.

Nota AI just rolled out NVA, a real-time video monitoring system that uses generative AI and Vision-Language Models to go beyond just spotting “person” or “vehicle.” Instead, it reads the whole scene, catching SOP violations and complex risks like “working alone on a ladder without safety gear” and can trigger alerts in 2.5 seconds. After a successful pilot, NVA is hitting the market with features like natural-language Q&A, automatic reporting, and seamless integration into existing video software.

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The New York Times recently asked readers how they use AI at work, and the 21 answers cover just about every field imaginable. From kitchens to courtrooms, workers are finding ways to fold AI into their daily routines to save time, improve accuracy, and spark creativity. The tech still makes mistakes, but it’s getting pretty sticky in our workflows.

Some standout use cases:

Some AI automates, some augments, and some transforms entirely. And some applications, while maybe less exciting, are no less useful. If you still can’t see how to use it, maybe read the other 17 examples in the New York Times, or just admit you’re a hater. 😉