Everyone has been staring at the benchmark leaderboards. Meanwhile, the real fight moved somewhere else entirely. Apple just filed a 41-page lawsuit against OpenAI. Not over AI. Over manufacturing. The specific targets are Tang Tan — OpenAI's hardware chief, formerly Apple's VP of product design — and a former Apple engineer named Chang Lu. Apple's allegation is a coordinated extraction campaign: employees being actively pushed to download confidential files on their way out

I want to say upfront that "I built" is doing a lot of heavy lifting in that sentence. What I actually did was look at my coffee mug, have a thought, type that thought into Glaze, and go do other stuff. About fifteen or twenty minutes later, I had a finished, working macOS application sitting in my menu bar. It connected to my Ember Mug over Bluetooth, showed me the temperature, and sent me a push notification when the battery got low. I'm not sure "I built" is even the right

On July 7th, Norm AI closed a $120 million Series C at a $1.2 billion valuation. Khosla Ventures led the round — the same firm that was the first institutional investor in OpenAI. Blackstone, Bain Capital Ventures, Coatue, Vanguard, Craft Ventures, and New York Life all participated. So did Jeff Hammes, the former Chairman of Kirkland & Ellis — one of the most powerful law firms on earth — and Fenwick LLP, investing directly as a firm. The company has raised more than $260 mi

A post crossed my feed this week with a T-Rex crushing a McKinsey building in its jaws, “AI” and “Anthropic” stamped across its side. The copy underneath: twenty Claude prompts that supposedly replace an entire finance consulting team. A three-statement financial model, priced at “$9,000 Big 4 engagement.” Cash flow forecasting, “$6,500 CFO-level build.” A SaaS metrics dashboard, “$8,000 SaaS CFO template.” Working capital optimization, “$6,000 McKinsey engagement.” Twenty li

MIT's State of AI in Business report found that 95% of enterprise generative AI pilots fail to deliver measurable ROI. Not “underperform.” Fail — no return the company can point to. Separately, Gartner surveyed companies on their AI-driven workforce reductions and found that 80% had cut headcount, with zero correlation between the size of the cut and any resulting improvement in ROI. Cutting people didn't produce better numbers. It just produced fewer people. Then there's the

Ben Broca launched Polsia in late 2025. One founder. No employees. A system of AI agents that plans, codes, markets, and runs companies around the clock. Within a month, he crossed $1 million in annualized revenue with over 1,000 companies running on the platform. A month after that, $3 million ARR, 3,000 companies. Last count, something like $10 million run rate, thousands of businesses on the platform, and a $30 million Series A at a $250 million post-money valuation — rais

Nikkei Asia dropped a number this week that deserves more attention than it's getting, mostly because it landed in a business section instead of a national security one: China now files more fintech patents than any other country on Earth, by a wide margin, in a field the U.S. was supposed to own by default. Nikkei and the research firm Patent Result examined fintech patent filings across 118 countries and regions over the past decade. Total filings nearly tripled to roughly

In March, Anthropic quietly shipped tracking code inside Claude Code that checked whether a user's machine was set to a Chinese time zone and whether it was talking to domains linked to certain Chinese AI companies. It sat there undisclosed until a developer found it, Alibaba banned Claude Code over it, and Anthropic pulled the code last week, calling it an "experiment" it would replace with "better defenses." Set aside for a second whether the tracking itself was the right c

A video's been making the rounds this week breaking down a trio of new SpaceX-adjacent trademarks — Starmind, Stargaze, Starfall — and connecting them to a real FCC filing: SpaceX asking permission to launch up to one million satellites as an orbital data center constellation. The video's framing is clean and mostly right: Starlink becomes the communications layer, the new constellation becomes the compute layer, laser links between satellites become the internal data fabric.

It's Sunday, July 5th, the day after the 4th, and I have exactly until midnight to burn through almost a month's worth of vibe-coding tokens before they reset and vanish into the ether, because apparently rollover credits are a courtesy the phone companies figured out decades ago and half the SaaS world still hasn't caught up to. I'm writing this fast. I have things to build. Bear with me. The Setup One of my accounts runs on a use-it-or-lose-it token model. No rollover. You

In 2021, Ingka Group — the company that operates roughly 87% of IKEA's global retail — deployed a customer service chatbot named Billie. Between 2021 and 2023, Billie handled 3.2 million interactions and resolved about 47% of them, saving the company roughly €13 million. Straightforward automation story, the kind that gets a line in an annual report and nothing more. What happened next is the part that actually earned IKEA its reputation as the anti-Klarna: instead of looking

The stat making the rounds is real: Meta employees consumed 73.7 trillion AI tokens in about 30 days, which works out to roughly $221 million a month and $2.65 billion a year at list price. That's not exaggerated. It's in an internal memo, first reported by The Information, sent to roughly 6,000 employees warning that internal AI usage costs are approaching billions of dollars in 2026. But the number by itself misses the actual story, and the actual story is better than the n

Right now, somewhere, a defense planner is looking at a drone that can identify, track, and fire on a target in under a millisecond — faster than any human operator could possibly approve the shot — and deciding whether to cut the human out of the loop entirely. Not because they want to. Because they've concluded that if they don't, and their adversary does, they lose. That decision is being made in conference rooms this year, not in a science fiction script. I've written bef

Fourteen months ago I wrote a piece called "Why We NEED a Billion Robots." The thesis was simple: the AI conversation was obsessed with the wrong half of the workforce. Everyone was watching chatbots write emails while ignoring the fact that nobody had figured out how to automate a plumber, an electrician, or a warehouse picker. I argued that solving machine intelligence was the easy part — manufacturing that intelligence into a body that could actually do physical work was t

I need to start with a confession. I make fun of this format constantly. The listicle. The countdown. The "5 reasons you're leaving money on the table" TikTok with the guy pointing at floating text. The LinkedIn carousel that says "most people don't know this 🧵" and then numbers things you already knew. I have mocked this format in conversation, in articles, probably in my sleep. And yet here I am. Because sometimes the format fits the content, and I'd rather be a little hyp

I want to tell you something that took me a while to fully internalize, even as someone who spends most of my time at the intersection of AI infrastructure and capital. The shift in how purchasing decisions get made isn't coming. It already happened. And most businesses — including good ones, established ones, ones with real customers and real revenue — are structurally invisible to the systems now making those decisions. Let me be precise about what I mean. What AI Buyers Ac

On autonomous content flywheels, AI editorial staff, and what happens when the bottleneck isn't the work — it's the decision. Every morning at 7:00 AM, before I've had coffee, a report lands in my inbox. It's not a newsletter someone else wrote. It's not a Google Alert digest. It's a structured intelligence briefing — researched, scored, and written by an AI that's been scanning the internet since before I woke up. It tells me what moved in the space I cover, ranks each story

Why the next generation of workers won't be judged by what they can do alone — but by what they can orchestrate. A friend called me a few weeks ago looking for job advice. He's a programmer. Smart, genuinely AI-savvy — probably more capable than 90% of people in roles adjacent to his. He'd been leaning hard on LinkedIn, putting in applications, waiting for callbacks. I told him LinkedIn isn't a job place. He was surprised. But here's the reality: the moment you put "Open to W

I've been watching a specific pattern play out across every major technology transition of the last twenty years. It doesn't announce itself. It doesn't come with a press release. It shows up in the data first — quietly, then all at once — and by the time the mainstream conversation catches up, the window for early positioning has already closed. I'm watching it happen again right now with agentic AI. And the specific place it's showing up most clearly is in how businesses ge

The market will naturally treat the White House's latest quantum initiative as a technology story. That's understandable. Quantum computing, post-quantum cryptography, quantum sensing, and secure quantum networks sound like they belong in the world of software, semiconductors, cybersecurity firms, national laboratories, and defense contractors. And they do. But that's only the visible layer. The more important question for investors is this: What sits underneath it? Every maj