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Om Malik is a San Francisco based writer, photographer and investor. Read More

If you want to see my “velocity trumps everything” doctrine at work, you don’t have to look any further than the AI news headlines coming thick and fast about investments, valuations, and all the related hype. As a reminder, my doctrine is that velocity has replaced authority as the organizing principle of information. What and who moves fastest wins. Truth and facts are optional and get lost in the race to dominate attention.
However, you take a moment to scratch beneath the surface, add some numbers, and think for yourself, a lot does not add up. That is a good reason to be pragmatic. Caveats are a great silent gift of Shakespeare’s language. But no one wants to be a party pooper and talk logic and sense when you have the Internet monster to feed. But the reality is very real, and kind of boring.
I bring this up because of the dust-up about Nvidia and OpenAI. This is a good example of why we should all exercise some modicum of caution when reporting and when reading the news in a mega hype cycle. Nvidia apparently has some second thoughts about its $100 billion OpenAI investment, the Wall Street Journal reports.
First, let me catch you up on the past.
Last September, OpenAI and Nvidia stood together at Nvidia’s headquarters to announce a $100 billion deal. The largest computing project in history, Jensen Huang called it. Nvidia’s stock jumped 4 percent. Market cap pushed toward $4.5 trillion. As now know, the deal was never real. It was a memorandum of understanding. A press release dressed up as a partnership.
Now, if you read the original press release, you could have easily picked up these three basic facts. First, it was a letter of intent, not a binding deal, for Nvidia to help deploy at least 10 gigawatts of AI data center compute for OpenAI. Nvidia clearly said it may invest up to $100 billion over time as each gigawatt is deployed. That can take forever, especially since first deployments were not expected until the second half of 2026. In short, everything is as laid out in the press release, and no one should be surprised by what is coming to light.
The Journal now reports that talks never progressed beyond the early stages. Nvidia CEO Huang has been telling associates for months that the agreement was nonbinding and not finalized. He has also privately criticized what he called a lack of discipline in OpenAI’s business approach. Actually, this is a sucker punch. Why?
Over the weekend, Huang told reporters that his company would “absolutely be involved” in OpenAI’s latest funding round. “We will invest a great deal of money, probably the largest investment we’ve ever made,” he said. But will it be over $100 billion? “No, no, nothing like that,” he replied. The man is playing the announcement economy like Miles Davis played the trumpet. Yes, I am listening to Miles this morning. And why would he not? OpenAI is rumored to be one of Nvidia’s largest customers. If OpenAI lags, it will impact Nvidia’s sales. This is what it means to have a tiger by the tail.
Given that Nvidia is privy to the progress made by others, such as Anthropic — Nvidia committed up to $10 billion in November— and by various others, including many Chinese AI companies, Huang probably has a much better understanding of the AI economy. He probably has a good idea which company is being smart about business and which is not. Read between the lines, and that is a pretty strong condemnation of OpenAI and its business practices.
Still, the whole brouhaha about Nvidia suddenly backing away from its OpenAI commitment is a good example of the momentum and noise that dominate. Just as the reaction to the original deal was crazy on one extreme, the reaction to the Journal story is on the other end of that extreme.
This is how the new announcement economy works. You declare a massive number. The headlines write themselves. The stock moves. Mission accomplished. Whether the deal actually closes becomes almost irrelevant. The momentum already happened. Remember Stargate?
A whopping $500 billion for AI infrastructure. The president at the podium. SoftBank, Oracle, OpenAI logos everywhere. Great theater. The actual committed capital? Far murkier. But who cares when you have already won the news cycle.
Now we are hearing about SoftBank potentially putting another $30 billion into OpenAI. Amazon, maybe $50 billion. These numbers get reported breathlessly, without much interrogation. Total up OpenAI’s announced commitments and you get $1.4 trillion. More than one hundred times its revenue. The math does not need to work. It just needs to generate headlines. OpenAI is racing to go public by the end of this year. Every splashy announcement builds the narrative. Every trillion-dollar figure shapes the IPO story. Sam Altman understands this game better than almost anyone.
What is my takeaway after having lived through multiple bubbles and hype cycles? Big-talking press releases are nothing more than strategic posturing. In the case of AI news, such announcements are signaling dominance in AI infrastructure. Of course, the investment community sees all that and reacts. Everyone dreams of future revenue and massive growth. And do not get me started on analysts. They get a chance to talk up the partnership, get themselves in the media, and retain their jobs. These days, podcasts and social media then simply amplify everything.
Velocity is everything. Reality is kind of boring.
To be clear, I am a hundred percent a believer in our transition to the new AI world. I am just old-fashioned enough to not be impressed by press releases and media announcements that are meant to impress and shock you. The more pragmatic way is my way. Sure, it will not make me many friends, but who needs faux friends when you have facts.
February 2, 2026. San Francisco
Photo by Igor Omilaev on Unsplash
Me: “how do you spell Free Cash Flow?”
ChatGPT: “go back to your cave old man, read a 10-k, and go to bed.”
Lol, true.
Your years of being in the biz & hence wisdom serve you well Om. I always appreciate your insights!
Thanks Dean. It is just that I was taught right by the right editors at the right time in my career arc. I was lucky.
Dot.con is a great book to read these days!
Appreciate all your thoughtful writing!
Indeed. That was a fun read but makes you wonder about the chump change the world was dealing with at that time.
Perfect way to start the day: meditation and a bit of sterling writing 🙏🏽