The AI Daily Brief: Artificial Intelligence News and Analysis - 50 AI Predictions for 2026 - Part 2

Episode Date: December 30, 2025

Part two of the AI predictions series looks ahead to how competition, markets, and politics could shape AI in 2026, from the durability of coding model leaders and the future of Grok and Meta to Chinese open-weight models, agent labs versus model labs, M&A, IPO timing, and whether Alphabet becomes the world’s biggest company. The episode also digs into how public markets, private credit, data center politics, layoffs, and anti-AI sentiment could collide with macro forces and election dynamics to define the next phase of the AI era. Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? [e-mail]

Today on the AI Daily Brief, part two of my AI predictions for 2026. 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, Blitzy, Super Intelligent, and Robots and Pencils. To get an ad-free version of the show, go to patreon.com slash AI Daily Brief, or you can subscribe an Apple Podcasts. To learn about your sponsorship option, set us a note at sponsors at AIdailybrief. All right, so yesterday we did the first part of my AI predictions, and because it got so long,

we had to split it into two. Today, we are jumping in in the competition section, where the AI race is headed into 2026. For our next set of predictions, let's talk about competition. My first prediction is that I think it's going to be very hard to shake Anthropic off its coding lead. They are incredibly focused on it. They have held that perceived lead for more than a year and a half, which is approximately

a hundred years in AI time. And you can absolutely tell that an incredible. Increasingly large number of developers are so comfortable with the cloud models that even when OpenAI or Google or in the future Grok release something that is comparable or ahead on the benchmarks, it'll be very unlikely that they switch. Now, that won't be universally true. There's still lots and lots of room. And so I think it makes sense for everyone else to compete for coding still.

I just think it's going to be hard to shake Anthropic off their lead. One specific prediction is that I think that this will lead ultimately to Microsoft doing a big deal with them, expanding that relationship even from the very nascent ways we started to see them get together this year. I think Microsoft will want to bring even more aggressively Anthropics coding tools into their enterprise suite, and I wouldn't be surprised to see that happen in 2026. Now, for OpenAI, I think their big challenge is going to be fragmented attention. How much do they focus on consumer usage versus enterprise usage versus research that gets them to AGI?

We've recently gotten a bunch of reports from inside OpenAI that not everyone there is super happy with the allocation of resources and are worried that all of these consumer things like SORA 2 are side quests that are actually distracting them from fundamental AGI research. Certainly, OpenAI itself has talked about the difficulty of having to make hard decisions about where to allocate compute. I do not believe in 2026 that OpenAI is going to seed any of these things. However, I do think that there will likely be some recognition that where they are dominant is on consumer.

To many people, ChatGPT still is the same as AI. These are synonymous terms. And even as Gemini has surged, ChatGPT still has a command. ending lead. My guess is that to the extent that OpenAI has to defend one flank, that'll be it. Now, one additional specific prediction is that I just believe that it's inevitable that ads will come to Chatchip-T. If for no other reason, then if you look at charts of intent and how users that are sourced from an LLM interact as opposed to people coming from Google search, it's just a really good medium for advertising. I think Open AI is going to continue to face questions in the market

as to whether they can actually reach their heady revenue targets, and given that they have so much tied up in whether the market believes they can when it comes to funding all of this infrastructure, I think they're going to have to do some version of advertising. How well they do that and whether it causes a user rebellion will be key things to watch for in the coming year. Now let's talk about GROC. I have occasionally been accused by some of you of not giving GROC it's due.

Some of you have even secretly suggested that I am an Elon Musk hater, which is not true. The reason that GROC has come up less is that across all of the different use cases where I try all the different models on basically everything I'm doing, I have yet to find a single use case where I regularly prefer GROC's output

compared to Gemini, ChatsyPT, or Claude. Every other one of those models has something I prefer better than the others. However, I still pay for GROC's most premium subscription, and I think if you judge GROC on the speed with which they have become a contender and are putting out models that are very near state-of-the-art, if not there exactly, you cannot write them off as a contender in the AI race.

What's more, Elon is in a unique position to raise capital and apply compute, and you could see a compute investment-based leapfrogging. It's also possible that external factors like political pressure and constraints on others that Elon just decides to ignore could also create RAs on debt for GROC in a way that I don't see right now. I basically just don't know who the natural user is. other than someone who's already on Twitter, which, to be fair, is not an insignificant number of people. One good thing in Grock's favor is that if you look at OpenRouter,

who GROC have partnered with to offer free tokens at various points this year, it is very clear that users have shown that they will use GROC if it's free or cheap, which, by the way, is not a knock on GROC. It's still early enough that people are willing, in many cases, to use a more expensive model than a less expensive one if it actually gets what they want done. So the fact that GROC has done so well on OpenRider with those promotions is actually indicative of where it could go. But ultimately, if over the course of not just 26,

but more like 26 and 27 and maybe even a little into 28, if it can't really differentiate itself and find some breakout that gives it a space relative to these others in the competition, I wouldn't be surprised if we saw some mass absorption of the Elon Empire all under, for example, the banner of Tesla. Next up, I think in 2026 we were going to see Meta re-entered the conversation, although I genuinely am at a loss for exactly what their direction will be. We have heard rumors that their next model will be closed source,

but I have no idea what their spot in that is. I think what is clear is that where they will have strength is, one, applying AI to social networks, particularly in terms of how it helps their ad products, so actually monetizing AI. And two, the success of the Meta Raybans is undeniable. As of this moment, meta has the only AI-related wearable that anyone actually likes, and people really like it. That could create momentum for an entire platform play that moves into other form factors as well. Next up, I think in 2026, the growth in Chinese open weight models that we saw throughout 2025 is going to continue in a massive way. Already you have tons of U.S. and Western startups turning to Chinese models for certain key workflows where what they need is efficiency,

not just a pure state of the art. If China stays on the trajectory that they're on, and especially if they take advantage of these new H-200s that the U.S. is letting them purchase, I would expect to see them make up an even bigger share of production tokens consumed in 26 than they did in 25. Next prediction is that one of the most interesting competitive battles of the next year will be the agent labs versus the model labs, which I articulated a little bit before. Now, as I mentioned, I think the line between these two types of companies is getting a little bit blurrier and where we're going to see this competition play out, maybe in the context of new models.

This one is one I debated, of whether any of these big agent labs like cursor cognition, rep litter-lovable will get bought this year. The reason to think no is that these companies, to an insane degree, control their own destiny. They are all making a ton of money. They're high growth. They're beloved by their users. And so none of them have to sell. I also don't really see among any of the leaders of these companies people who are super keen to take their chips off the table rather than keep building. However, I feel like at least one of these agent labs gets an offer that is too big to ignore, ultimately, with Microsoft in my mind being the most likely acquirer. Another area of M&A that I feel like is more high probability, I think both GenSpark and Manus

get scooped up this year. Like I said, I think that these labs are going to realize that they need better interfaces for agents, and they're going to look over and see that both Manus and GenSpark have built really compelling starting points for that, that are more performant than the things they have internally, even if they're using those companies' models, and they're bringing with them a nice chunk of revenue. The reason I think these companies are going to be willing to be bought is, one, the astronomical price that will be paid, but two, a concern that they inevitably are going to get competed out of the way by the model labs over the course of the next few years. Next up, we turn to markets. Especially in the second half of this year, public markets really

started to interact with AI development in a major way. We moved from the unbridled enthusiasm from basically November 2020 when Chatchip-ET launched all the way up to, honestly, around September of 2025, and then saw a mass repricing as public market investors just started to really rethink the fundamentals of just how much growth there could be. Indeed, I think that that recalibration sets us up for the most important question for AI and markets in 2026, which is will there continue to be private credit appetite for data center and AI infrastructure buildout. So far, as expensive as the AI buildout has been, it's all been financed, or mostly been financed, by the hyperscalers balance sheets. Now, market analysts might have had to reset their brains when companies started

spending their free cash flow on anything other than stock buybacks, but one of the best dampers to the AI bubble narrative so far, for a long time, had been the fact that this was all being financed by the companies themselves. That has, of course, shifted over the course of this year. A growing portion of the infrastructure buildout is being financed. And at the moment, private credit markets certainly have enough to keep that party going for some time. The question is whether they want to. We recently saw Blue Owl pull out of an Oracle financing deal, although Oracle has a different narrative for it, and that has made many wonder if we're going to see more of that next year. I predict that markets are going to be extremely on edge about absolutely any wobbles and

data center financing, but I also tend to think that we're coming into 2026 in a much healthier spot with markets than we were last year. The repricing that has happened, the new appreciation for risk that is prominent, has a strong likelihood of tamping down enthusiasm before it gets over-exuberant, in a way that I think is likely healthy. Which is not to say that things couldn't rip in one direction or another. I think, in fact, that a lot of AI's market destiny is going to be tied to broader macro factors. This has always been the story with AI, even when we haven't recognized it. This is perhaps best expressed of the virality of this chart showing the K-shaped economy. The chart has two lines. One is for the S&P 500, the other is for total job openings. From 2005 up to around 2023,

the lines move in pretty lockstep. Since that inflection point, however, total job openings have gone down, while the S&P 500 has continued to go up. Now, most versions of this chart have a dotted line with some version of the text, what happened on November 30th, 2022, with of course the implication being that the launch of ChatGBTGBT is the reason for those total job openings declining. However, as any macro commentator can point out, where the line actually shifts is not November when ChatGPT launches. It's a few months earlier when the rate hiking cycle begins. This huge spike you see in 21, coming after the big dip you see in 2020, is the COVID-era zero interest rate period, where everything just ripped up to the right. There was significant

overhiring during that period, and a big part of the story of the job openings declining is a recalibration of that, and another part of the story, which you can see where the lines actually dip, is rates going back up and inflation soaring off to the moon. Now, this is not to argue that AI has had no impact on job openings, but it is a good reminder that AI's market story has always been tied up with the macro in complex ways. For so much of the 2022 to early 2025 period, it was AI enthusiasm versus everything else. AI versus the hiking cycle, AI versus the tariff tantrum, You name it, AI just kept winning ultimately. It wasn't going to last forever and it didn't last forever.

And that has led to where we are today. Hello, friends. If you've been enjoying what we've been discussing on the show, you'll want to check out another podcast that I have had the privilege to host, which is called You Can With AI from KPMG. Season 1 was designed to be a set of real stories from real leaders, making AI work in their organizations. And now season 2 is coming and we're back with even bigger conversations.

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visit robots and pencils.com slash AI Daily Brief. Now next year, there's going to be a lot going on. We're going to have a new Federal Reserve Chair, and the White House presumably exerting a lot more influence on the Federal Reserve and rate policy. We have all the dynamics around the midterm elections. So almost outside of anything that actually happens in AI, a lot of what the market thinks about AI is going to be shaped by totally unrelated factors. Now, let's talk about the IPO market.

I have such a hard time making up my mind for what I think is going to happen. My base case would be that we do not see any IPOs in 2026. I think we see both OpenAI and Anthropic in 2027. I think private markets are going to be strong enough, and the utter pain in the butt that is public markets is going to be a big deterrent. Startups have for some time wanted to stay private for as long as humanly possible,

and I see no reason why it would be any different in this area. In fact, I see even more reasons why it wouldn't be different in this area. However, there are a lot of factors that could change that. One is OpenAI's massive capital requirement. that company is already basically shaking the couch cushions of the entire world, and it is not impossible that they get to a point where they feel like they just have to go pursue a public market strategy at the same time as everything they're doing privately.

Indeed, if they get even a whiff that private markets are getting less enthusiastic or might not have enough capital for their needs, they might try to get out ahead of that shift before it becomes a broader public narrative. There's also the fact that if current reports are to be believed, OpenAI is going to IPO at a trillion-dollar-plus valuation. We don't really have precedent for that. And it's not clear how much higher they could be valued in private markets and still have a successful public offering, so that might also force their hands sooner. There is also the possibility that if they think that Anthropic are trying to lap them, in other words, to get out ahead and take advantage

of public enthusiasm and retail investor enthusiasm for AI, that it might move up everyone's time scale. I kind of think that the inverse is less true in the sense that I don't think that OpenAI moving faster would necessarily change Anthropics plans. However, to the extent that they want to get in ahead of Open AI, which has a lot of reasons to consider, that could push OpenAI to move faster. So, like I said, from a prediction standpoint, my base case is zero IPOs in 2026 and two in 2027, but there are so many things that could change that and make me wrong. Another kind of simple prediction, I think that sometime in 2026 Alphabet will become the biggest company in the world. I'm not sure for how long they have that title and whether it's sustained,

but I think especially if the growth trend in Gemini continues, growth in Google's cloud business continues, and especially if they actually start to sell TPUs broadly outside of the Google organization, we'll see them jump to the top. This could also be caused by a stumble from Nvidia, but I think that's less likely than a surge from Google. I think we're going to see the rise of artisanal anti-AI next year. In other words, we're going to see explicitly AI-free products, networks, and services. We're going to see the human-made label become a luxury symbol. We might even see certifications for 100% human-generated art, writing, you name it. Now, the big question will be whether these things are small or whether there's actually some major network that decides

to go this way. Could the next social network be one that aggressively works to prevent AI bots? It wouldn't shock me. Last category of predictions is politics and policy. Right now, I think it's a little bit easy to overstate and overestimate how big a deal data centers are to people. In fact, outside of our little bubble in the AI world, when you look at polling of how much people actually have opinions on data centers, it's very low. However, in the areas where data centers are being built or have been considered, it is a very big issue. It is also an issue where it's very clear to me that politicians on both side of the aisle, with a particular bent towards populists on both sides of the aisle, see it as a winning issue, and specifically being against it as a winning issue.

It is very clear. Every political pundit will tell you right now that the number one issue heading into the midterms is going to be affordability. This is the word that we've chosen, instead of economics, to reflect the fact that what we're talking about is the specific difficult economics of living in America today. The anti-AI narrative writes itself. The robots are taking your jobs, your energy, drinking your water, and raising your power bill. Let's fight against them and your lives will be better. It will be extremely telling, I think, in 2026 how resonant this message actually is. Is it a winning political point in general or only in those areas that are specifically dealing with data centers? I think the answer to that question will have a huge impact on the 28

presidential elections. I think regardless of the answer to that question, however, pretty much all layoffs in 2026 are going to be attributed to AI. Now, in some cases, that will be true. A thing that humans used to do will be more easily or cheaply done by automation. That will come with restructuring and job loss. In other cases, AI layoffs will be attributed to AI, but it will be more indirect. It will be presented as a company reorganizing and repositioning for an AI future, where they need fewer people to do the same amount of work. We saw Amazon use this type of language a lot this year. And this is where it starts to get a little bit blurry. It's not crazy for an organization to be rethinking its broad organization structure in the context of AI. In fact, it would be crazy not to. But I think that you're going to

see a lot of layoffs that would have happened anyway be lumped under that we're getting ready for the AI future kind of banner. And then, of course, there will be other layoffs that have nothing to do with AI that are just blamed on it because it's a very convenient scapegoat. All of this will, of course, fuel that political narrative that I was just talking about. And I think from a public perception perspective, 26 being kind of rough. Now, speaking of the 28 presidential election, even though next year is just the midterms, and even though you will likely not get most campaigns formally announced until after the midterms, I think as part of the whole data center politics as well as AI layoffs conversation, you're going to start to see a lot of policies that would naturally fall out of the AI

transition feel tested as language in these campaigns. I think, you're going to start to see more conversation about things like UBI. You're going to see more social safety net conversations. For the Democratic side of the aisle who are already pro-safety net, this will be a little bit about figuring out which version of these things both makes the most sense to them, as well as is the most politically palatable to independent and swing voters. Republicans in the right have a more interesting and challenging discovery process.

It's very clear that the AI antagonist position will not just be the domain of the left, but will the right actually have an alternative solution, or will they focus on trying to stop AI in their tracks? What's more, how does the pro-tech versus the economic populist side of that party reconcile heading into the post-Trump era? Moving off of mainstream politics a little bit, I think we're going to see basically the equivalent

of fair trade AI labels start to become a thing, particularly in the entertainment space. As much as many artists would like to put AI back in the box, there is a tension. Lots of creatives are using these tools and creating incredible things and getting excited about the possibilities. And even if they're not, there is a sense of inevitability here. So how do you resolve all that?

The answer, of course, is some sort of ethical certification around how AI was trained or how AI is used. You're already starting to see this in Hollywood, particularly I'm thinking of Moon Valley, which promises AI video without the same ethics and copyright infringement concerns. And I think you're going to see more of this. Now, it won't be a straight line path.

If you read the response to Moon Valley and hysteria and the artists and filmmakers who have chosen to go this path, it is still a tough road to hoe. You're taking on an additional burden and challenge and not using the state of the art, while also still having a big part of your industry, treat you like a scab. But I think that in 2026,

you're going to start to see these types of projects carve out an important space that creates a path forward that is neither rejectionism nor head in the sand ignoring the challenges. On the China side, as much as they're hemming and hawing about whether to accept H-200s,

I think China's going to accept the H-200s. Now, it may be that the CCP completely controls the flow in and works really hard to create incentives for domestic chip manufacturing regardless, but I just don't see any way that they're going to deny themselves access to the most premium chips that they can get their hands on right now. That is unless Congress passes some limiting legislation on exports to China. This wouldn't surprise me. I could see this being a politically palatable way in the very short term to reject a specific Trump AI policy in a way that can be turned into a positive economic narrative for,

constituents. Now, we've already got some legislation in the works around this area that doesn't necessarily seem like it has huge momentum, but we're also in basically the quietest period of the congressional cycle. And so I would watch in January to see if that starts to pick up. Lastly, on the politics side, I think that the big bombastic policies like Bernie's data center moratorium doesn't really go anywhere. There's just too much against it. And I don't even necessarily think that Bernie thinks it's possible. I think that he's trying to shift the Overton window way back to the other side, so that what does come out of it

looks a lot closer to what he and the people who think like him want, then it would have had he not proposed a dramatic policy like that. I think that the federal preemption that we got via executive order is going to be extremely difficult to put into practice.

In fact, I think it's probably going to have the exact opposite effect where basically states now have even more incentive to go past AI rules as a way to assert their independence. Until you'll have a situation where all of these states

are writing more rules and making headlines because of it, which my guess is actually shifts the balance a little bit among the AI lobby. And instead of enjoying the conspicuous lack of federal regulations, my guess is that you'll see the Washington offices of the big labs start to shift and support some basic national level rules. As much as we pretend there's not, there is a ton of space between the safetyist extremes on the one end

and the accelerationist extremes on the other where a huge mass of people can agree on some common-sense starting points. And I would expect those not to necessarily be put into practice in 2026, but to start to see the labs actually support a version of them. So that is my AI predictions for 2026 with just one last one to go. I forgot to put this one in the list. It's probably the easiest one that I'll make. Both ChatGBT, BT and Gemini will claim a billion active users in 2026.

For ChatGBTBT, it'll be in Q1. For Gemini, I think it'll be in Q2, but it might be a little bit blurrier because of how distributed and all over the place Google's AI products are. But in either case, I think that in the first half of 2020, latest Q3 for Google, both of those companies and AI products will claim a billion users. So that is my list. Hopefully precise enough for you guys to have some debates about. And if you stuck with me through both of these episodes, you are a true AIG.

For now, that is going to do it for today's episode. Appreciate you listening or watching. As always, until next time, peace.