AI’s New Acceleration Phase
episode
The AI Daily Brief: Artificial Intelligence News and Analysis
24 min
2 speakers
4 chapters
transcribed 4 months ago
Transcript
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Transcript generated automatically by AI and may contain errors.
What recent AI developments indicate an acceleration phase?
Today on the AI Daily Brief, a week of surprise AI acceleration. The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. All right, friends, quick announcements before we dive in. First of all, thank you to today's sponsors, KPMG, Super Intelligent, Section, and Zencoder. To get an ad-free version of the show, go to patreon.com slash ai-dailybrief, or you can subscribe on Apple Podcasts. If you want to learn more about sponsoring the show, send us a note at sponsors at ai-dailybrief.ai. Also at ai-dailybrief.ai, you can find out about all the other things we have cooking. One specific one to note is that Cohort 3 of Enterprise Claw is closing very soon, so if you are interested in that, check that out at enterpriseclaw.ai.
How is Anthropic approaching profitability in AI?
Now, this week, once again, we are using this Friday episode to do a bit of a recap.
And I think that this week gets particularly relevant in the sense that some weeks, the big stories represent so obvious a change that it barely needs to be pointed out how much has shifted. But this week was instead a week of surprising AI acceleration, where the individual stories add up to a whole that is much more than the sum of the parts, and where we can feel almost more than intellectually recognize the acceleration all around us. Now, when I'm discussing acceleration, I'm going to refer to it in a lot of different contexts. There's model development acceleration, policy acceleration, business redesign acceleration, and more. But where I want to start is with profitability acceleration and the corresponding acceleration in market sensibility.
One of the huge stories from this week is that Anthropic expects to have its first ever profitable quarter. And of course, this is not just Anthropic. This is the first ever profitable quarter for any AI lab. Now, there are some caveats. First of all, the quarter's not done yet, so this is projections, not realized revenue. Second, there are, as we've mentioned before, questions around how Anthropic recognizes revenue, specifically around the idea that they count pure top-line revenue before partner distributions, even for established rev-share deals. And three, they are, as we learned given other information revealed around their partnership with SpaceX, getting access to certain amounts of compute for the next couple of months at a discount.
And yet, I think for most people, those are all relative quibbles with the overall idea, which is a resetting of expectations around just how much money these labs can make. The bubble narrative at the end of last year was all about the idea that we were going to overbuild compute infrastructure. As agents started consuming massive amounts of tokens at the beginning of this year, the bubble narrative to the extent there still was one was instead about the idea that the big labs were never going to be able to serve these tokens profitably. And so the fact that Anthropic is doing so, even if it's with a few ups from their partners at SpaceX, to most honest viewers, has an impact in changing the way that they think about the acceleration of business model development in the AI sector.
And by the way, while they're not profitable yet, OpenAI also had a banger of a first quarter. In fact, they generated about a billion dollars more in revenue than Anthropic in Q1, although revenue acceleration for Anthropic has since outpaced that. But one of the big boosts for OpenAI's revenue was, of course, token-hungry Codex. And it wasn't just these startups that were absolutely crushing. NVIDIA also had a massive quarter, beating basically every analyst's expectation, although at this point we're in such uncharted waters that it feels like the market doesn't quite know what to make of them. Quoting Patrick Moorhead again in the same quote that I used a couple of days ago, but one which I think bears repeating, the challenge with NVIDIA at a $5 trillion plus market cap is that investors do not know how to deal with it.
If you take Jensen's $1 trillion forward demand pipeline, this is an $8 to $9 trillion company.
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