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Two weeks ago, Jensen Huang was the most powerful man in AI. On Thursday, he walked out of the company he co-founded 33 years ago, effective immediately.

If you’d told me in January that the leather jacket would leave before Sam Altman, I’d have laughed. Nobody’s laughing now.

This edition is a deep dive into the fall of Nvidia’s founder and why the person replacing him could change how the whole AI economy gets funded. Plus, ChatGPT just got a wallet, and the FAA is letting AI advise on traffic across all of US airspace.

Grab a coffee. This one matters.

In today’s edition:

Usage-based and hybrid pricing models are changing how B2B companies generate revenue — and creating new headaches for the finance teams behind them.

Tabs co-founder Rebecca Schwartz and PwC Partner Amit Dhir sat down to unpack exactly what that means in practice: how pricing model decisions ripple into revenue recognition, forecasting, and financial ops — and what it takes to scale without piling on manual work.

Watch the on-demand recording to get practical frameworks, real-world examples, and a clear path to operationalizing usage-based revenue — including a forward-looking take on how AI will reshape financial workflows. If your team is navigating pricing complexity heading into the back half of the year, this is worth an hour.

Watch the recording now

Four tools we think are worth a look this week.

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Google just launched Gemini 4 Hydrogen, its new “daily driver” for coding and agent work. Google says it finishes tasks about 2.5x faster than Gemini 3.8 Flash. It also scores 51 on the Artificial Analysis Intelligence Index, just ahead of Google’s own frontier model Argon at 50.

In other words, near-frontier intelligence at Flash speed. Here’s how to use it:

🔍 Why it’s special:

💡 Pro tip: Use Hydrogen for the fast build-test-fix loop and save Carbon or Argon for heavy planning. That split is exactly what Google’s Orchestrator automates.

Watch the Walkthrough Here | Check Out Gemini 4 Hydrogen Here

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The 30-Second Play gives you the move. The Operator Brief gives you the full system: prompt libraries, API cost math, and the workflows our subscribers are using to replace entire freelance line items.

This week: how to run a full store promotion from one brief, just in time for Black Friday.

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💸 Nvidia allegedly engineered GPU scarcity by funding AI startups that turned around and bought its chips, according to reports that surfaced right after Huang’s exit. Allegedly, it’s like giving your kid an allowance and then counting it as revenue when they spend it at your store.

💳 OpenAI launched ChatGPT Wallet, so its dots agents can buy things for you using tokenized Amex, Mastercard, and Visa cards. It means the software that tells you what to buy can now also buy it, with a security check on every purchase. So, if you want to, you can ask ChatGPT to buy that new comfy sweater you’re interested in.

✈️ The FAA took its $875M AI traffic adviser, SMART, to all 22 US air route traffic control centers ahead of its promised 90-day evaluation. Three days later came a nationwide ground stop the FAA says was unrelated, blaming old, overloaded tech. Transportation Secretary Sean Duffy said, "Our switches, our routers, actually got overloaded with data... and started to give us inconsistency in the data from those routers."

🤖 n8n just dropped Nod, a free, open-source personal agent with its own computer, and browser that runs on your machine. It cancels subscriptions, books hotels and pulls invoices, and it asks before it pays, posts or deletes anything. Meet Nod.

Jensen Huang resigned as Nvidia’s President, CEO, and board member on Thursday, effective immediately.

His exit comes after weeks of reports about extramarital affairs, including one with a woman US intelligence suspects of being a Chinese spy.

Here’s what you need to know:

And yes, President Trump weighed in. He posted that only one man could replace Huang: Apple’s Tim Cook.

Here’s the uncomfortable part.

The scandal isn’t the real story. The money is.

Right after the resignation, a Wall Street Journal report relayed by TechPowerUp alleged that Nvidia invested in AI startups and small cloud providers so they would buy its GPUs. The point was to soak up an oversupply of chips from TSMC and keep the “everyone needs more GPUs” story going.

The kicker? According to the report, Kress pushed in August to scale back these circular financing deals, including Nvidia’s $250 billion deal with OpenAI. Huang allegedly called her a “deer in the headlights.”

That person now runs the company.

To be clear, Nvidia hasn’t confirmed any “engineered scarcity” strategy. But the loop is easy to see: Nvidia funds a customer → the customer buys Nvidia chips → Nvidia books the revenue → the valuation pays for the next round.

🔮 Prediction: The AI build-out just lost its best salesman and its most generous financier in the same week. Huang didn’t just sell chips. He made the deals that turned Nvidia’s cash into its customers’ demand, and he had a direct line to the White House. Kress is a finance chief, and if the Journal’s reporting holds, she has already shown she’s uneasy with that playbook.

So watch Tuesday’s earnings call more closely than any keynote this year. If Kress cuts back on the circular deals, the first to feel it will be the smaller “neoclouds” that relied on Nvidia money to buy Nvidia hardware. Expect funding to get tighter and a wave of consolidation among GPU cloud startups in 2027. Hyperscalers building their own silicon, like Google with TPUs, get more leverage.

For the rest of us, GPU and memory prices won’t drop overnight. But the “demand is infinite” story is about to get its first real audit, and bubble talk is going to get loud.

💬 Hit reply and tell me: Is Nvidia stronger or weaker without Jensen? I read every response.

Read the Full Story Here

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Until our next AI rendezvous,

Anthony | Founder of Uncover AI