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TODAY IN AI

3 things that happened while you were busy

1.  Stripe told investors the singularity began eight months ago.

In a letter obtained by Axios, Stripe's leadership wrote that "It's a fuzzy and perhaps already overworked term, but we decided that January 1st marked the beginning of the singularity, and we have since been operating on that basis." Crucially, they defined it as an economic inflection rather than machines surpassing humans, citing a large increase in the rate of new firm creation. The letter was signed by Patrick Collison, John Collison, and William Gaybrick.

2.  It arrived the same day as a reported $7.5 billion acquisition.

Stripe announced it is buying OpenRouter, the AI model marketplace, in a deal reported at roughly $7.5 billion (Forbes framed it nearer $8 billion; Stripe has not disclosed the figure). Notably, the public acquisition statement did not mention the singularity at all. The philosophy went to investors. The press release stuck to business.

3.  The business numbers underneath are genuinely strong.

Whatever you call the era, Stripe's results are real: first-half revenue up 41% year on year, free cash flow up 43%, and 88% of the Forbes AI 50 including OpenAI and Anthropic using its products, with revenue share from AI and crypto customers more than doubling. The company also reiterated it remains private, framing that as an advantage in a less predictable period.

FROM THE FRONTIER

Made with Chatgpt

Three declarations in two months, and the evidence keeps getting softer.

The pattern.  We covered Altman declaring the singularity in July. Musk has said it repeatedly. Now a payments company has dated it to a specific Tuesday. Collison had been building to this: back in February he said Q1 2026 would be looked back on as the first quarter of the singularity. What has changed is not the technology, it is how loose the word has become.

The evidence problem.  Here is the part worth pausing on. The single piece of evidence Stripe offers is a rise in new firm creation, and no count, percentage, or time series is published alongside it. It describes Stripe's own signup funnel, not an external indicator anyone can check. TechCrunch also reported that Collison himself originally called the singularity framing "tongue in cheek" when he used it at Stripe's April conference.

What the public data says.  Forbes did the useful thing and checked the government figures. Census Bureau data published a week earlier showed July business applications at 578,926, up 8.1% from June, while projected formations of employer businesses rose just 0.7%, to 29,959. So applications jumped, but the subset expected to actually hire barely moved. Filing paperwork is not the same as building a company, and that gap is exactly where the claim gets stretched.

The takeaway.  Critics were blunt: Gary Marcus argued none of the markers people cite meet any coherent definition of the term, and Gizmodo noted that using dollars processed as a marker of machine intelligence is a strange yardstick. But dismissing it entirely misses something. Strip out the word and Stripe is reporting a real signal: more businesses are starting, and AI tools are why many of them can. If starting something has genuinely gotten cheaper and faster, that is useful information regardless of what anyone names the moment.

IN THE KNOW

What people are actually watching and sharing

Meme of the day

The quadrillion-dollar line.  Also in the letter: Stripe sees no ceiling on the size of the global economy and says it is working toward a quadrillion-dollar world. Ambitious even by Silicon Valley letter standards, and the phrase people are quoting most.

The $100 billion definition.  Gizmodo made a fair point about money-as-milestone: OpenAI and Microsoft's original agreement reportedly defined AGI as the point an AI system generates at least $100 billion in profits. Stripe is not the first to measure intelligence in currency.

OpenRouter changes hands.  The acquired company is the model marketplace we have cited repeatedly for traffic data, including when Chinese models climbed to roughly 45% of its traffic. A neutral routing layer becoming part of a payments giant is worth watching for anyone who relies on it.

Two stated goals.  The letter sets out what Stripe says it wants from this era: speed up AI adoption across the economy, and ensure AI deployment gives people more control over their economic lives. The second half is the more interesting promise, and the harder one to measure.

PROMPT

Test the business-formation claim against your own life

Stripe's evidence for the singularity is that more people are starting businesses. The interesting question is not whether that deserves the label, but whether it is true for you. Paste this into Claude or ChatGPT and find out which barriers AI has actually removed in your situation, and which ones are still exactly where they were.

COPY AND PASTE THIS PROMPT

You are a pragmatic startup advisor who has seen a lot of hype cycles. Companies are claiming AI has made starting a business dramatically cheaper and faster. I want to test that against my own situation. My skills are [YOUR SKILLS], I can invest [HOURS] hours per week and [BUDGET] to start, and I live in [YOUR COUNTRY OR CITY]. Identify three small business or service ideas where AI genuinely removes a cost or barrier that existed three years ago, and name the specific barrier it removes in each case. For each, list what AI can now do for me, what still requires money or other people, and a realistic time to first paying customer. Then tell me plainly which parts of the pitch that AI makes starting a business easy are true for my situation and which parts are marketing.

Be concrete about constraints: "graphic design skills, 8 hours a week, 20,000 taka to start, based in Dhaka". Advanced tip: the last instruction is the valuable one. Most AI-and-entrepreneurship advice quietly assumes a US market, a credit card, and no day job. Force it to check its assumptions against yours.