# Global AI Race: Market Disruption & Geopolitics

**Podcast:** The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis
**Published:** 2026-02-11

## Transcript

Today on the AI Daily Brief, how the global AI race has changed.
Before that in the headlines, no open AI hardware until 2027.
The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI.
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With that said, let's get into the headlines.
We got some new court filings around OpenAI, and it appears their AI device or devices are still over a year away.
One thing we learned around the Super Bowl ads...
is that the OpenAI hoax revealed that a lot of people are kind of hankering for their first look at the Johnny Ive designed device.
However, it still seems like those folks have a lengthy wait to get their hands on it, according to declarations filed by OpenAI General Manager Peter Weylander.
The filings came in an ongoing trademark lawsuit over the I.O.
branding.
Weylander said that OpenAI had since decided not to use the I.O.
name in any of their naming or marketing.
The filing also spelled out the release schedule for the device, stating that it won't be available for sale until the end of February 2027.
It also noted that no packaging or marketing materials had been prepared at this stage.
Waylander previously said that the device could be unveiled and marketed as soon as the second half of this year, but it now seems like we're looking at 2027.
Now, I hesitate to even call this a delay.
Any idea that it was coming in 2026 always seemed wildly ambitious to me, but that is the latest word.
Next up, some big changes at XAI, although the extent to which you think it's drama versus just the normal course of working with Elon is a little bit in the eye of the beholder.
The short of it is that a number of key researchers and even founders have recently walked out XAI's door.
Tony Wu announced his resignation from XAI in an early morning ex-post on Tuesday.
He thanked the team for, quote, all those battles we have fought together.
In terms of what's next, he wrote, It's time for my next chapter.
In an era with full possibilities, a small team armed with AIs can move mountains and redefine what's possible.
Wu also thanked Elon Musk for believing in the mission and for the ride of a lifetime.
That evening, another co-founder, Jimmy Ba, said he was also finishing up.
He posted, last day at XAI, XAI's mission to push humanity up the Kardashev tech tree, grateful to have helped co-found at the start.
AI researcher Roland Gavrilescu also added his name to the departure list, vague posting that he was, quote, building something new with others that left XAI.
A little later, multimodal AI researcher Hang Gao announced that he was leaving now that Grok Image 1.0 had shipped.
One X user scrubbed the platform and came up with 15 total resignation announcements over the past week.
Where this leaves the company is that six of the 12 co-founders have now left, with five of the departures in the past year.
The question is, is this a response to the global regulatory concerns that XAI is dealing with around the world?
Is it a response to the SpaceX merger?
Is it just the normal course of working with someone as highly capable, but also, you gotta think, not that easy to work for is Elon Musk?
In a now-deleted tweet, satirical poster Satya Nutella criticized Musk for driving away top AI talent.
Musk responded that he wasn't concerned, saying, There are very few regretted departures.
We are accelerating faster than any other AI organization on Earth, despite being a much smaller team.
Nutella, who was subsequently suspended for X after this, fired back.
My point was, you are no longer attracting top talent.
Everyone knows that the best AI researchers are not at XAI.
Top talent needs an honorable vision, not be a soldier in my empire, let's make unhinged grok and be edgy on Twitter.
The information's Theo Waite discussed the departures in terms of Musk's reputation as a very demanding boss.
He suggested the two co-founders might have been pushed out, after Musk grew frustrated with delays on the new Grok model, adding, I expect Wu and Ba may not be the last senior XAI staffers to exit in the coming weeks.
Wade continued, To be sure, the frequent turnover of executives at Musk's companies isn't new.
XAI and Tesla both lost a significant number of important executives last year too.
Musk's defenders would say that constantly kicking employees to the curb pushes those left to work harder.
But at some point, constant turnover catches up with companies.
Not only do they lose institutional knowledge, a company's reputation also starts to weigh on new hiring.
Yes, there are hardcore Musk acolytes who would still work for him, but there has to be a good number of engineers and salespeople who take the view that life's too short to deal with Musk.
I swear, as someone who watches this every day, there is no news that is harder to cover and analyze than anything having to do with Elon Musk.
The number of people who can honestly say that they are objective about anything having to do with Elon is, at this point, vanishingly small.
So buyer beware, make of what you will from this.
Ultimately, what's going to matter for Grok is how good the next model is.
and how well Elon does with all these company integrations.
Next up, our latest update on the SaaSpocalypse.
The blood in the streets has moved to financials as Wall Street starts selling anything that AI might disrupt.
Which, as all of you know, is everything, so this could get worse before it gets better.
Tuesday's installment of the AI market meltdown was courtesy of a new tax management tool from a startup called Altruist.
Now, the way that some folks are characterizing this company is a little disingenuous.
Altruist is an 8-year-old company that provides asset custody services and portfolio management software for independent investment advisors.
They added an AI platform called Hazel to their offering last year.
Their latest feature is an AI tax advisor that can generate strategies for an advisor's clients based on reading their account statements and meeting notes.
Altruist currently has around 5,700 customers, which is actually around a third of all independent advisors in the U.S., and enough to make them the third-largest platform serving the industry.
The trigger for the sell-off was reporting that some advisors are switching away from most established custody platforms.
These headlines were enough to drive stock in Charles Schwab, Raymond James Financial, and LPL Financial down by more than 7% each.
Opinions on this one were a little mixed.
Some saw genuine disruption on the horizon, with Dennis Stock Trader Network commenting, looks like it could potentially disrupt some of the real brokerages.
That's why the stocks are selling off here right now.
Bloomberg intelligence analyst Neil Sipes argued that the sell-off had more to do with pricing power.
stating that investors are, in his words, likely centering on concerns around efficiencies being competed away, fee compression long-term, and potential market share shifts.
Others think we're at the point that Wall Street is selling first and asking questions later, with John Belton of Gabelli Funds commenting, every company with any sort of potential disruption risk is getting sold indiscriminately.
Now, what's interesting is that as the death of software narrative matures, so too does the thinking around the actual nature of the disruption.
Last week, investors were weighing up the feasibility of companies vibe-coding their own CRM platform or figuring out whether Google's Genie 3 world model was about to undercut the entire gaming industry.
This leg is less about long-term speculation on AI fundamentally changing an industry and instead about a rising startup actively winning business away from incumbents by launching AI features.
Altruist CEO Jason Wank said that while he was surprised by the scale of the sell-off, he thought it made sense directionally.
He commented, It's dawning on people.
This architecture we're using to build Hazel, it can replace any job in wealth management.
Usually, these jobs are done by entire teams, and they'll be done with AI effectively for $100 a month.
For my money, it feels as though all of Wall Street has come to the same realization about AI more generally over the past few weeks.
While it is absolutely clear that many of these moves have been significantly exaggerated, there's a sense that investors are trying to figure out the implications of truly useful AI being deployed across the entire economy.
Will Rind, the CEO of Granite Shares Advisor, said, I have no idea what's next.
The story from last year was we all believe in AI, but we're searching for the use case.
And when we keep discovering the use cases that seemingly are more and more powerful and more and more compelling, it's now leading to disruption.
So all in all, the SaaS-pocalypse debate continues, but for now, that is going to do it for the headlines.
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Today we are doing a wide-ranging update on the state of the global AI race.
And before we dive in, let me give you my pitch for why you should care about this, even if you're mostly here for how does AI impact me and my job.
The question of the global AI race is about much more than political machinations and geopolitical shifts.
It has direct impacts on basically everything about how AI plays out.
The conversation in the halls of power about the AI race shapes what types of regulations we're going to see.
Practical competition around models impacts the products that we get and how fast we get them.
Putting it simply, whether you are interested in the global AI race or not, the global AI race is interested in you and has now for a year been one of the biggest topics in AI.
2025's first big story was, of course, the DeepSeek freakout when the company dropped their R1 reasoning model in a new app and wiped out nearly $600 billion from NVIDIA's market cap.
the single biggest loss in pure dollar terms in a single day in history.
Now, reinforcing my point that this actually has impacts for you, part of why DeepSeek was such a profound moment is that users who downloaded that app, for most of them, it was the first time they were using a reasoning model.
And even though OpenAI had released O1 at that point, and O1 was certainly better than R1, O1 was at the time buried behind the paywall.
DeepSeek not only shaped markets, it impacted what OpenAI had to do next.
Throughout the year, the realization that China was not nearly as far behind on AI came to the fore.
And heading into this year, while we knew that to be the case, the model releases from Chinese labs have been demonstrating that they are not just interested in being cheap discount versions of the real thing.
When Moonshot released Kimi K 2.5 a couple of weeks ago, it was absolutely nipping on the heels of the top models from the major Western labs.
And I can tell you for a fact, as OpenClaw and Agentic use cases have taken hold, There are lots of folks who are looking to the Kimi model as a very high performance and much cheaper alternative to Opus or GPT.
The gap is closed sufficiently that you're starting to see articles like this one from the BBC is China quietly winning the AI race.
And it's not just Moonshot that shows that Chinese model quality is increasing dramatically.
ByteDance's new video model, SeedDance 2.0, is currently going viral after its release earlier this week.
I covered it in some detail on Tuesday's show, but the model is impressing not just for its high-quality visuals, but it's naturalistic sound effects in background music, which are generated at the same time the images are rather than as a post-process.
Indeed, that technical breakthrough has not come to Western models yet.
And that's what has people really taking notice.
The ability to innovate disrupts the mental model that most have held for the Chinese labs.
At the beginning of this year, Google DeepMind CEO Demis Hassabis discussed the state of the Chinese industry.
And while he acknowledged that Chinese labs were mere months behind, he added, the question is, can they innovate something new beyond the frontier?
I don't think that's been shown yet.
In the world of Seed Dance and Kimi-K 2.5, it's not clear how true that is or at least how much longer that will be true for.
It also feels like just the beginning of a very fast-moving year.
On Tuesday, rival Chinese lab Xipu, which re-randed itself to Z.ai, was rumored to be behind a new stealth model on OpenRouter under the codename PonyAlpha.
First impressions were positive, with OpenRouter saying it delivers strong performance across coding, reasoning, and roleplay, and that it was optimized for agentic workflows with high tool-calling accuracy.
Now, this is only the beginning of a big wave of model releases and promotions heading into the Lunar New Year holiday.
Alibaba, Baidu, and ByteDance are all said to be releasing models, and there's also a marketing war to capture a growing AI consumer segment.
Alibaba is, for example, spending $432 million on discounts to promote their agentic shopping platform, and Tencent is following suit with massive giveaways.
And beyond the big four Chinese giants, there's also the lurking shadow of DeepSeek.
We haven't seen a new generation model from DeepSeek since they shocked the world a year ago, with each model release being an iteration on top of their V3.
It's widely rumored that V4 is expected to be released in time for the New Year celebration.
Now, so far, as close as China is getting, we haven't actually seen a frontier Chinese LLM that goes beyond the state of the art in the West.
Even researchers close to the Chinese industry are skeptical that they can actually overtake the U.S.
labs.
Justin Lin, the technical lead for Alibaba's Quen models.
Recently told CNN the odds of China overtaking the U.S.
was, quote, below 20%, and I think 20% is already very optimistic.
Still, there's something happening with the Chinese labs that is unignorable.
Even Wall Street is paying attention, with JP Morgan issuing a buy signal for Zipu and Minimax earlier this week.
Both stocks surged after the note was published, and they were already in the middle of a huge rally.
Indeed, the China market dimension of this is another really interesting dimension.
Basically, the release of these new models in China right now is doing for Chinese markets, What the big AI models were doing in 2024 and early 2025, before U.S.
markets got all nervous about Tim Altman's deal spree.
Robert at Baguan wrote, A stark contrast has emerged between the two AI industries in U.S.
and China.
While Anthropic or Gemini wiped off hundreds of billions of software market value with their new products, the launch of cutting-edge Chinese models lifts everyone else.
The software sector in China didn't collapse like their American counterparts.
Seed Dance 2.0 has already sent Chinese filmmaking and online literature stocks to a new high.
Why is that?
One reason is that the software industry in China is far from being mature in the first place, and so the industry can leapfrog to a new era with no baggage.
The same logic may also apply to filmmaking.
We don't have Hollywood just yet.
And perhaps the more fundamental reason is more cultural and political.
In a society like China's, there is an implicit trust that the best companies cannot let a whole industry wither and die overnight without paying some price.
Common prosperity, bro.
Now, models are, of course, only one part of the AI race story.
And in another area, chips, the status is far more in flux.
In January, Jipu announced that they'd trained their first model exclusively on Huawei chips.
The actual model was kind of unimpressive and nowhere near the state of the art, but the training run was a proof of concept that Huawei does have now a complete hardware and software stack capable of training an AI model.
A zero to one moment and still a meaningful milestone in that way.
Meanwhile, NVIDIA's H200 chips have been fully approved for export into China.
We're yet to see reports of the first H200-powered training cluster firing up, but that could be just months away.
The big change isn't so much about capabilities, but rather scale.
The H-20s that China previously had access to have slower memory and aren't as useful in building large training clusters.
Chinese labs have reportedly ordered H-200s by the hundreds of thousands, so we'll likely see the first Chinese models trained on Western-style megaclusters later this year.
The relaxation of export controls is still a huge debate in Washington.
Senators Elizabeth Warren and Jim Banks are planning to introduce bipartisan legislation to ban the sale of certain chips in the coming days.
Count that as another 2026 prediction coming true very, very quickly.
The legislation would include an outright two-year ban on Blackwell exports, as well as giving Congress a veto over export approvals in general.
That could feasibly revoke export licenses for H-100s as well.
Anthropics CEO Dario Amadei was reportedly crucial to getting the bill moving.
He met with Senator Warren on Tuesday prior to the latest announcement.
Now, ultimately, it will come down to how much support the bill has across party lines, with Senator Warren commenting, a strong bipartisan showing on the need to protect our defense is key.
Selling these chips to the Chinese is bad in the short run and worse in the long run.
Still, for now, the H-200 exports are going ahead and administration officials are seeking to calm nerves in Washington.
During a hearing on Tuesday, Commerce Secretary Howard Lutnick said, The license terms are very detailed.
They've been worked out together with the State Department and those terms NVIDIA must live with.
When asked whether he trusts China to abide by those terms, which include a ban on military use, Lutnick deferred to the president's judgment.
Now, as tempting as it is to see the global AI race story as only one of China and the US, that ultimately is incomplete.
Sam Winter-Levy and Anton Leck wrote a recent piece in Foreign Affairs called The AI Divide about how the US-Chinese competition could leave most countries behind, but there is at least one part of the world that has the ambition to serve as a third AI power.
I'm speaking, of course, about the UAE.
Last week at the World Government Summit in Dubai, G42 CEO Peng Zhao unveiled what he called the world's largest AI chip.
The moniker was down to the chip using Cerebrus' wafer-scale manufacturing process, so the chip is physically larger than NVIDIA chips.
The more interesting part was the discussion around how the UAE sees their role in the AI future.
Xiao described the ambition to serve AI compute to the 4 billion people who live between Milan and Singapore, representing 40% of the world's population.
He also discussed G42 in terms of being a trustworthy third party, neutral to both China and the US.
In particular, he touted UAE law that protects corporate data in the same way that most countries treat embassies.
Since then, the headlines keep coming.
Bloomberg reports that G42 plans to commence a billion-dollar data center project in Vietnam, meaning if data center diplomacy is the new geopolitical paradigm, then the UAE has just entered the ring.
In addition, Semaphore reports that OpenAI is in talks with G42 to create a specialized version of ChatGBT for the UAE.
Sources said the model would be tuned for local language, political views, and speech restrictions.
Developing a model that speaks in fluent Arabic has been one of the long-running discussions in Middle East AI, so that part isn't so surprising.
However, the idea that OpenAI is considering baking in approved political views for a foreign nation is something that certainly has people's attention.
And going back to the idea that this is all interconnected, one of the reasons that they might be willing to do it is as a compromise to block G42 from proliferating Chinese models on their infrastructure.
TLDR, the AI race is not a simple contest between superpowers, although that is a huge dimension of it.
There are plenty of neutral actors and third parties looking to stake a claim as AI geopolitics hits high gear.
Maybe the most interesting new wrinkle of 2026 is the beginning of a second space race.
When Elon Musk declared his ambition to build a gigantic data center in space last week, the idea was largely met with skepticism or derision in the West.
People wrote it off as just an excuse for why SpaceX was actually acquiring XAI, which was assumed to be financial.
Not so in China, where state media reported on Thursday that officials plan to launch their own orbital data center project over the next five years.
The nation's major space contractor, China Aerospace Science and Technology Corporation, said that they would, quote, construct gigawatt-class space digital intelligence infrastructure.
The report said the project would, quote, integrate cloud, edge, and terminal device capabilities and achieve the, quote, deep integration of computing power, storage capacity, and transmission bandwidth.
Kind of word salad, but the important point is that they are enthusiastic about this, whereas we're all yucking it up over here.
The Chinese contractor has vowed to make China the dominant space power by 2045.
Interestingly, both Musk and the CCP are tying their ambitions to China's industrial base.
The South China Morning Post reported that Musk has been sounding out multiple Chinese solar providers to supply his satellites.
They noted that the discussions are yet to translate into orders, but it could be an interesting twist.
Musk had previously said that Tesla will dramatically ramp up solar production, resulting in 100 gigawatts of supply across multiple new and existing facilities.
The U.S.
currently produces less than 5 gigawatts annually, so this would be a huge step up in supply.
Now, of course, both things can be true at once.
But what seems clear is that Musk is looking for a solution that can get satellites in orbit in short order.
And so, what started as an incredulous idea has quickly transformed into another front in the global AI power struggle.
The Wall Street Journal is taking the issue seriously, with the editorial board publishing an opinion piece on the topic on Monday.
After discussing various barriers to Musk achieving his goal, they wrote, The piece was a very overt call for the FCC to get out of the way and approve Musk's massive space project.
And yet, even before we get there, there are plenty of political fights in the US that are firmly stuck on the ground.
Late last week, New York state lawmakers threw their hat in the ring of what promises to be the single least effective AI policy for accomplishing its stated goals.
I'm talking, of course, about a data center moratorium that would, in the case of New York, pause data center development for three years.
This policy was floated by Bernie Sanders in Washington recently, but has gathered approximately zero popular support among the Democrat caucus.
Now, it's a little bit beyond the scope of the show.
When Bernie Sanders announced his call for a data center moratorium, his stated reason was to ensure that the benefits of AI would flow to everyone.
My skepticism, of course, comes from the simple laws of supply and demand that suggest that the single fastest way to ensure that access is limited to only the people who can pay is to limit the amount of compute available.
Which is not to say, by the way, that states, municipalities, and governments of all levels shouldn't have an extremely significant role in shaping the nature of how the data center build-out happens.
The way that local consumers have traditionally footed the bill for power grid expansion is completely inappropriate in this context.
And so I do think there is a lot of room for governments to get involved here.
It's just not with big, bullheaded policies like this.
Clearly, the White House is interested in some version of this, as we're getting reports around some PAC to be announced, where the hyperscalers who are building these data centers announce their commitment along these lines.
Now, the data center issue had been generally viewed as a big winning platform for the Democrats heading into the midterms, but new polling is suggesting that that might not be the case.
Politico writes that a recent survey found that, quote, most voters are blasé, even mildly positive, about the possibility of having a data center in their area, associating them with new jobs and other economic benefits.
Only 32% of Democrats oppose data centers in their community, which is only mildly above Republicans at 25%.
Which is not to say that there aren't politics here.
Another dimension of this, which I'm tracking but will leave for another day, is the post-Trump GOP positioning, where AI is becoming one of the issues by which different parts of the Republican Party are trying to differentiate themselves.
Anyways, friends, like I said at the beginning, whether you are interested in the global AI race or not, the global AI race is interested in you.
These things that happen in DC or Beijing impact what decisions are made in San Francisco, and all of it shows up in the models we have access to and the policies that surround them.
Hopefully, this brings you up to speed around where we stand in early 2026 on these issues.
For now, that's going to do it for today's AI Daily Brief.
Appreciate you listening or watching, as always, and until next time, peace.