The AI Daily Brief: Artificial Intelligence News and Analysis
AI’s New Acceleration Phase
22 May 2026
Transcript generated automatically by AI and may contain errors.
Chapter 1: 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.
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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.
Chapter 2: 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.
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Chapter 3: What impact does OpenAI's recent math breakthrough have on AI capabilities?
You go from rolling out tools to driving measurable AI value. Your employees move from meeting summaries to solving actual business problems. And you can prove the ROI. Stop guessing if your AI investment is working. Check out Section at sectionai.com. That's S-E-C-T-I-O-N-A-I.com. So, coding agents are basically solved at this point. They're incredible at writing code.
But here's the thing nobody talks about. Coding is maybe a quarter of an engineer's actual day. The rest is stand-ups, stakeholder updates, meeting prep, chasing context across six different tools. And it's not just engineers. Sales spends more time assembling proposals than selling. Finance is manually chasing subscription requests. Marketing finds out what shipped two weeks after it merged.
Zencoder just launched Zenflow Work. It takes their orchestration engine, the same one already powering coding agents, and connects it to your daily tools. Jira, Gmail, Google Docs, Linear, Calendar, Notion. It runs goal-driven workflows that actually finish. Your stand-up brief is written before you sit down. Review cycle coming up? It pulls six months of tickets and writes the prep doc.
Now you might be thinking, didn't OpenClaw try to do this? It did, but it has come with a whole host of security and functional issues which can take a huge amount of time to resolve. Zencoder took a different approach. SOC 2 Type 2 certified, curated integrations, tighter security perimeter. Enterprise grade from day one. Model agnostic and works from Slack or Telegram. Try it at zenflow.free.
Now, let's move on to another area where this week represented the recognition of some serious acceleration. And this I'll call an acceleration of AI's consumer services. Although I thought that Google's messaging was a little mixed when it came to IO, one thing that was very clear is that AI is everywhere across the Google family of user experiences and people are using it.
The Gemini app is now up to 900 million monthly active users, having effectively closed entirely the gap with ChatGPT. And the growth in overall tokens processed each month was even higher, jumping 700% from $480 trillion last May to $3.2 quadrillion this year.
And I think one thing that's important to keep track of when it comes to Google is that as much as they're creating unique new consumer services for their AI, they're leaning heavily on the existing distribution and product suite they have to integrate AI into their existing experiences. Now, this is nothing new in the sense that we've had AI overviews since Google I.O.
2024, but for the first time, Google Search will feature not only AI's information consolidation capability, but also its agentic capacity. Google tweeted, Soon you'll be able to create and manage multiple AI agents for your many tasks right in search. We're starting with information agents.
These agents intelligently look across everything on the web, including blogs, news sites, and social posts, plus real-time data on finance, shopping, and sports to surface updates related to your specific question. Your agent works for you 24-7, helping you stay on what matters most to you.
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Chapter 4: How is the shift to usage-based pricing affecting AI services?
with one source saying that the main reason for the delay was that Trump just hates regulation and that Sachs also hated it. The source added, "...the whole thing was unnecessary and, quote, just something doomers wanted." It certainly doesn't appear to me that David Sachs was able to convince the president on something that he wasn't already inclined towards.
He went out of his way numerous times yesterday to connect the issue to China. Said Trump, We're leading China. We're leading everybody, and I don't want to do anything that gets in the way of that lead. I really thought that could have been a blocker, and I just want to make sure it's not.
During that same press briefing, Trump was asked whether he discussed AI with President Xi, responding, I did. I discussed it. He acknowledges how well we're doing. He's doing well, too. It's the two of us. The two countries are fighting for it. Other countries are way behind. They're fighting for it. They want it, but they're way behind.
My strong, strong guess is that this is not the end that we will hear around this at this point fabled AI executive order, but who knows what it'll say, if anything, by the time it actually lands. Like I said at the beginning, in many ways, the acceleration this week was less in the news itself and more in the feeling that the implications of the news creates.
A regular old forthcoming AI model is solving 80-year-old math problems. Revenue for all of these companies is skyrocketing and Anthropic is defying expectations by having their first profitable quarter. Their leading researchers clearly think we're entering a new phase, as someone already worth billions decides they can't stay on the sidelines for this next pivotal part.
And everywhere, the jockeying for political narrative and positioning vis-a-vis AI is getting more and more dramatic. One thing that was really nice about Google I.O. this week was the willfulness with which they did not participate in the AI doom cycle that I talked about at the beginning of the week.
Instead, Google DeepMind CEO Demis Hassabis took the chance of his closing keynote to frame where we are as a beginning, not an end. Talking about the set of releases that they had and what's upcoming, he argued that they would, quote, When we look back at this time, Demis said, I think we will realize that we were standing in the foothills of the singularity.
It will be a profound moment for humanity. This technology will be a force multiplier for human ingenuity and usher in a new golden age of scientific discovery and progress, improving the lives of everyone, everywhere. It's a great message, and it's our jobs to make sure it's true. For now, that's going to do it for this weekly recap on the AI Daily Brief.
Appreciate you listening or watching, as always. And until next time, peace.
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