The AI Daily Brief: Artificial Intelligence News and Analysis - The AI Race Gets a Massive Power Shift

Episode Date: December 10, 2025

Today’s episode breaks down Trump’s decision to allow Nvidia to export H200 chips to China, a reversal of a decade of bipartisan China-hawk policy that could radically reshape global AI power dynamics, US industrial strategy, and the geopolitical balance around compute, with a close look at industry reaction, national-security concerns, and why this move may accelerate China’s capabilities even as it deepens their reliance on US hardware. In the headlines: Google readies a full line of AI smart glasses for next year, Claude Code lands inside Slack, Apple’s chip chief signals he is staying put, and IBM announces an $11B acquisition of Confluent to strengthen its AI data platform. 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/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gemini - Build anything with Gemini 3 Pro in Google AI Studio - ⁠http://ai.studio/build⁠Rovo - Unleash the potential of your team with AI-powered Search, Chat and Agents - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://rovo.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Blitzy.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]

This podcast is sponsored by Google. Hey folks, I'm Amar, product and design lead at Google DeepMind. Have you ever wanted to build an app for yourself, your friends, or finally launched that side project you've been dreaming about? Now you can bring any idea to life, no coding background required, with Gemini 3 in Google AI Studio. It's called vibe coding and we're making it dead simple. Just describe your app and Gemini will wire up the right models for you

so you can focus on your creative vision. Head to AI.studio slash build to create your first app. Today on the AI Daily Brief, a major shift in the global AI race, and before that in the headlines, Google readies its AI glasses for next year. 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, Gemini, KPMG, robots and pencils, Blitzy and Rovo. To get an ad-free version of the show, which starts at just $3 a month,

go to patreon.com slash AI Daily Brief, or you can subscribe on Apple Podcast. If you're interested in sponsoring the show, you can send us a note at sponsors at AIdailybrief. Now, we are very much in the GPT 5.2 waiting room right now, anticipating the model will come out, perhaps even before you're listening to this episode. And the last thing that I wanted to share before we dive in is that for the next two weeks, I'll be running an experiment bringing back an AI Daily Brief newsletter. We're going to try an evening publication that basically lets you know what we're going to cover the following day, kind of a tomorrow's news today type of vibe.

We'll see how people respond to this and whether we continue it into next year or try something different. For now, if you want to check it out, go to AIDailybrief.aI, you can click newsletter and there'll be a link to subscribe. With that, let's dive in. Welcome back to the AI Daily Brief Headlines edition, all the daily AI news you need in around five minutes.

Google is preparing to launch a full range of AI-enabled smart glasses next year. The product line will include audio-only glasses as well as a pair with an in-lens display that can show information like directions and translation. In addition, Google unveiled a prototype called Project ORA, which will offer a full-screen experience similar to Apple's Vision Pro. Unlike the Vision Pro, Project ORA is still packaged in a relatively lightweight glasses format

rather than a full headset. While Google said that the product line will begin rolling out from next year, they did not specify which models would be available. The smart glasses will run Android XR, which is Google's new operating system for smart glasses. Samsung actually already released the first Android XR product over the summer with their Galaxy XR headset, and apps that have already been developed. for that platform can be installed across Google's product line as well. The platform is also

cross-compatible with Android smartphone apps so the new devices can integrate into the existing Google ecosystem. The glasses can even connect to iOS apps so you can tether the glasses to an iPhone and access the Gemini app as well as Google's full suite of apps. Google's director of product management for XR, Justin Payne said, the goal is to give this ability to have multimodal Gemini in your glasses to as many people as possible. If you're an iPhone user and you have the Gemini app on your phone, great news. You're going to get the full Gemini experience there. Now, of course, the elephant in the room is Google Glass, a tech flop that was so big it has almost become iconic. Now, of course, Google Glass was more than a decade ago. And this time,

there's no avant-garde sci-fi design, just a normal-looking pair of sunglasses with a thicker frame. In fact, they're actually tapping people who know how to make cool-looking glasses to help. The glasses will actually be designed in conjunction with Gentle Monster and Warby Parker. Now, among all the AI wearables, meta's raybans are basically the one form factor that people have actually enjoyed and that has been a success. So it's not at all surprising to see Google jump into the space. So is it possible that glasses will be the first ubiquitous wearable form factor? I guess that is something that we will have to wait till next year to know. But moving back to the present, Claude is coming to Slack and people seem pretty excited about it. Building on the existing

cloud integration, users can now spin up an entire coding session within Slack to work on bug fixes and feature requests directly. Now, of course, if you have heard me harp on how 2026 is the year of context, the big benefit of using Claude directly in Slack is the ability to tap into the context of work conversations, and the cloud code integration takes that idea to the next level. TechCrunch actually suggested that this is evidence of a broader shift, writing AI coding assistants are migrating from IDEEs into collaboration tools where teams already work. While the integration is still just a research preview,

it does suggest that Anthropic is looking for a way to cut down on context switching and build their agents directly into the platforms where they're most useful. In a quick follow-up from Monday's show, Apple's chip leader says rumors of his departure were greatly exaggerated. Apple's senior VP of hardware technologies, Johnny Shrugi, told staff on Monday that he's not going anywhere for the time being. In a memo to his division, he wrote, I know you've been reading all kinds of rumor and speculations about my future at Apple, and I feel you need to hear from me directly. I love my team and I love my job at Apple, and I don't plan on leaving anytime soon. Bloomberg's Apple insider, Mark German, had reported that Shrughey had recently told CEO to

Tim Cook that he was looking to move on. This was potentially a huge problem for Apple as the M-class chips pioneered under his leadership are absolutely class-leading. After a spate of executive departures, it is good for Apple that this one doesn't appear to be happening, although it seems like there's probably still more going on behind closed doors. Lastly today, IBM is making a big $11 billion acquisition to boost their AI business. IBM is committed to buy out public data infrastructure firm Confluent. The deal was struck at $31 a share, a 34% premium to their last price before the announcement. The offer is all cash and builds on IBM's five-year partnership with Confluent. Confluent provides an open-source data streaming platform, giving

enterprises the ability to connect and govern their data in a way that's more accessible to AI agents. Earlier in the year, Salesforce and Service Now made similar acquisitions to fill their respective gaps in the AI data layer. By way of example, Tiremaker Michelin is using Confluence platform to make their real-time inventory and supply chain data discoverable by AI. Instacart has adopted Confluent to drive their fraud detection and product database systems. For IBM, the acquisition marks a commitment to building out their high-growth AI product. In a statement, CEO Arvin Krishna said, IBM in Confluent together will enable Enterprises to deploy generative and agentic AI better and faster. With the acquisition of Confluent, IBM will provide the smart data platform for enterprise IT purpose-built

for AI. Analyst at Bloomberg Intelligence said that the deal could, quote, significantly improve IBM's AI portfolio and subsequently its software unit sales growth. The Monster deal caps off a record breaking year in AI MNA, where over a trillion dollars worth of deals have closed this year. For now, though, that is going to do it for the headlines. Next up, the main episode. All right, let's talk about the signal versus the noise in Enterprise AI. The challenge right now isn't just about what's possible, it's about what's practical. That's the entire focus of the You Can With AI podcast I host for KPMG. Season one cut through the hype to focus on deployment and responsible scaling. Season two goes a level deeper. We're bringing together panels of

AI builders, clients, and KPMG leaders to debate the strategic questions that will define what's next for AI in the enterprise. Six episodes packed with frameworks you can actually use. Find you can with AI wherever you get your podcasts. Subscribe now so you don't miss the new season. Today's episode is brought to you by robots and pencils. When competitive advantage lasts mere moments, speed to value wins the AI race. While big consultancies bury progress under layers of process, robots and pencils builds impact at AI speed. They partner with clients to enhance human potential through AI, modernizing apps, strengthening data pipelines, and accelerating cloud transformation. With AWS-certified teams across U.S., Canada, Europe,

and Latin America, clients get local expertise and global scale. And with a laser focus on real outcomes, their solutions help organizers work smarter and serve customers better. They're your nimble, high-service alternative to big integrators. Turn your AI vision into value fast. Stay ahead with a partner built for progress. Partner with Robots and Pencils at Robots and Pencils.com AI Daily Brief. This episode is brought to you by Blitzy, the Enterprise Autonomous Software Development Platform with infinite code context. Blitzy uses thousands of specialized AI agents that think for hours

to understand enterprise-scale code bases with millions of lines of code. Enterprise engineering leaders start every development sprint with the Blitzy platform, bringing in their development requirements. The Blitzy platform provides a plan, then generates and pre-compiles code for each task. Blitzy delivers 80% plus of the development work autonomously, while providing a guide for the final 20% of human development work required to complete the sprint. Public companies are achieving a 5x engineering velocity increase when incorporating Blitzie as their pre-IDE development tool, pairing it with their coding pilot of choice to bring an AI-native

SDLC into their org. Visit Blitzie.com and press get a demo to learn how Blitzy transforms your SDLC from AI-assisted to AI-native. Meet Rovo, your AI-powered teammate. Rovo unleashes the potential of your team with AI-powered search, chat, and agents, or build your own agent with Studio. Rovo is powered by your organization's knowledge and lives on Atlassian's trusted and secure platform, so it's always working in the context of your work. Connect Robo to your favorite SaaS app so no knowledge gets left behind.

Robo runs on the teamwork graph, Atlassian's intelligence layer that unifies data across all of your apps and delivers personalized AI insights from day one. Robo is already built into Jira, Confluence and Jira Service Management Standard, Premium, and enterprise subscriptions. Know the feeling when AI turns from tool to teammate. If you rovo, you know. Discover Rovo, your new AI teammate powered by Atlassian. Get started at ROV as in victory o.com. One of the things that I've learned about the AI Daily Brief audience is that as much as you guys are interested generally in AI and what it means for the world, you're definitely more interested on average in what AI means for you and your careers and your companies.

I think this is a totally reasonable stance to take. And it's why I'm I try to slant the coverage towards news that is practical and relevant. For example, today I'm gearing up for the anticipated GBT 5.2 announcement. However, I do think it's important to have a broad-based understanding of how this technology is intersecting with the wider world, particularly in the realm of geopolitics, and today we got one of our most significant shifts ever. The headline, which by now I'm sure you've heard, is that President Donald Trump has said that the U.S. will now allow Nvidia to sell its H-200 chips to companies in China, taking a 25% cut along the the way. Now, to understand this, I think you have to go back almost a decade to get the trajectory

of U.S.-China policy specifically as it relates to CHIPS. For pretty much the entirety of the first Trump presidency as well as the Biden administration, China Hawks led the policy discourse. Indeed, it was one of the few things that was fairly bipartisan. I remember back in the 2020 run-up, there was a big debate on who would be tougher on China, Joe Biden or Donald Trump. During the Biden administration, we got the CHIPS Act, which was, of course, in part a response to our COVID-era recognition of what many perceived as our over-reliance on Chinese-involved supply chains, and we got this big effort to reshore domestic manufacturing across a wide variety of industries, but with a particular focus on advanced chips. Throughout the Biden administration,

there were not just these incentives to move the chip manufacturing industry back to the U.S., but also more restrictions on exports. Indeed, right at the end, as President Biden was getting prepared to vacate the White House, they dropped an executive order, which became known as the AI diffusion rule. The diffusion rule created three tiers of licensing requirements that basically reduced the amount of chips that we were exporting everywhere. Now, as you might imagine, the world's leader in advanced AI chips in Vdia was no fan of that and started to articulate basically what their position would be during the upcoming Trump administration as well. Outside of the folks who think that, of course, their main position is, hey, we'd like to sell our product into one of the world's biggest markets, basically their position is that the best way to handle China is not to cut them off but to manage them. that effectively the U.S. wants its infrastructure to be used everywhere. Now, almost immediately, as the new administration came online,

the Department of Commerce announced the rescission rule, but that didn't mean that NVIDIA was in the clear. Throughout the year, it has just been a total back and forth on what long-term U.S. policy was going to be regarding selling chips to China. Although, functionally, Nvidia has simply not been selling into China, even their neutered H-20 chips that were designed specifically to meet export requirements. when NVIDIA has given forward guidance for the last several quarters, they've basically left China off entirely.

And yet, clearly in the recent weeks, things have been shifting. At the end of October, semaphore editor-in-chief Ben Smith wrote a piece called Trump is poised to end Washington's decade of the China Hawks. In it, he wrote that we're seeing the, quote, end of an anti-China moment in Washington that really began with Donald Trump's election in 2016, intensified through the Biden presidency, went viral on Capitol Hill and crested on Liberation Day. The piece concluded, on the defining question of China, Trump seems to be working his way back, even from a confrontation that he began and Biden escalated, towards something a little more

like business as usual, deferring to the old Calvin Coolidge observation that the business of America is business. Now, it was semifor once again, who reported on Monday morning that the Commerce Department was poised to approve the export of Nvidia H-200s for the first time. Last week, Commerce Secretary Howard Lutnik had said that the decision was in Trump's hands but didn't give his opinion on the matter. Some of four sources, however, said that Letnik had been supportive of the plan to loosen export restrictions to allow in the powerful chips. The decision also came in the context of a Washington visit from NVIDIA CEO Jensen Huang last week. Huang met with the president as well as congressional leaders, and at the time, the big story was that he had successfully managed

to negotiate the removal of tighter restrictions that were planning on being inserted into the National Defense Authorization Act. It now appears that he successfully negotiated for much, much more. Yesterday, the president tweeted, I have informed President Xi of China that the United States will allow NVIDIA to ship its H-200 products to approve customers in China, under conditions that allow for continued strong national security. President Xi responded positively. 25% will be paid to the United States of America.

Now, Trump had floated the idea of the government taking a cut of NVIDIA's Chinese revenues over the summer when the issue was last up for debate. At the time, they were talking about 15%, so this 25% is, I guess, the art of the deal. Now, Trump framed the move as a policy win for the U.S. manufacturing sector, specifically taking aim on the policy of neutered versions of technology to match export controls. In that same truth social post, he continued, the Biden administration forced our great companies to spend billions of dollars building degraded products that nobody wanted, a terrible idea that slowed innovation and hurt the American worker.

That era is over. Now, to the extent that there was a line that was drawn around NVIDIA's most advanced chips, commenting, including, NVIDIA's U.S. customers are already moving forward with their advanced Blackwell chips and soon Rubin, neither of which are part of the deal. Trump also said that the same approach would be applied to AMD, Intel, and other U.S. chipmakers. Now, as you might imagine, the announcement triggered a huge response. Democrats immediately got up in this, basically saying it was one more example of Trump's political corruption. This attitude was summed up by Elizabeth Warren, who said, after a backroom

meeting with Donald Trump and a donation to the Trump ballroom, NVIDIA got a deal to sell the most advanced AI chip it has ever sold to China. The NVIDIA CEO should testify under oath in Congress. The Republican response has been a little bit more quieted, but that's a complicated story that will come back to in just a moment. Mostly folks tried to explore what it would mean for the U.S. with regard to competition with China and the AI race. David Shore, the head of data science at Blue Rose Research wrote,

We're on track to reduce our compute advantage over China from 33 to 1 to 1 because as NVIDIA and Jens Hwang put millions of dollars in Trump's pocket in order to enrich themselves at the rest of our expense. Alex Stapp, the co-founder of Think Tank, IFP, wrote, massive own goal to export these AI chips to China. The H-200 is six times more powerful than the H-20, which was previously the most powerful chip approved for export. Our compute advantage is the main thing keeping us ahead of China in AI.

Why would we throw that away? Georgetown professor Rush Doshi writes, this is a big deal, essentially a reversal of the U.S. export control policy on advanced chips. possibly decisive in the AI race. Compute is our main advantage. China has more power, engineers, and the entire edge layer. So by giving this up, we increase the odds the world runs on Chinese AI.

Others noted that the policy coming out of this White House is not exactly clear. Hudson Institute fellow Michael Sobolick wrote, The same day the admin improved sales of H200 chips to China, the DOJ says this about the exact same chips. Quote, these chips are the building blocks of AI superiority and are integral to modern military applications. The country that controls these chips will control AI technology. The country that controls AI technology will control the future.

We are sabotaging ourselves to make a buck. If this is the posture we're taking, we're asking for defeat. Nvidia stock, of course, jumped on the news, racing up by about 2% in late trading. Now, while it's clear that the policy change could dramatically shift the balance of power in AI, it's not quite as simple as China getting a boost at the expense of the U.S. The Institute for Progress put out a report on just how much the export of H-200s would change the capabilities of China's GPU fleet. They modeled that under current policy

settings, China would have just 2% of the AI compute produced next year. Now, with conservative exports of the H-200, they modeled a 12% share, with a 30% share possible under a more aggressive set of assumptions. Tim Fist, the director of emerging technologies at the IFP, wrote, Huawei is not planning to make an AI chip that matches the H-200 until Q4-2020. But more importantly, China's manufacturing bottlenecks mean it'll only reach 1 to 2% of U.S. production in 2006. So this move is giving China a bunch of advanced AI compute it wouldn't otherwise have. However, he also recognized that there's a tradeoff here, continuing, the argument for exporting H-200s is to slow China's AI chip industry. But the CCP recognizes its strategic vulnerability,

it's subsidizing industry and creating demand for Huawei chips via procurement mandates and restrictions. U.S. export policy is unlikely to change this. Instead, he writes, H-200 exports will counterfactually boost China's ability to both develop frontier AI and deploy them widely, competing with USAI and cloud companies abroad. The new Chinese stack will be Nvidia chips, Tencent, Baidu, Alibaba cloud, and Deepseek-Qaeda and Kimi models. Milk Road tried to summarize the two large camps when it comes to this question. They wrote,

The Smart Strategy Camp argues that this is the best way to manage China's rise without losing money. Since the H-200 chip is now about 13 months old, selling it to China, is seen as selling them previous generation technology while the U.S. keeps the brand-new significantly faster Blackwell chips for itself. The goal is to get China addicted to buying American hardware so they don't feel the need to build their own factories. Indeed, this is NLW popping in again, but recently Commerce Secretary Howard Lutnik did go so far to say, you want to sell the Chinese enough that their developers get addicted to the American technology stack.

Going back to Milk Road, they write, this keeps them dependent on the U.S. supply chain and sends billions of dollars back to American companies like NVIDIA, which helps fuel the U.S. economy. However, the dangerous mistake camp warns that this logic is flawed because the H-200 is still an absolute beast of a machine. It isn't just a little better than what China currently has. It offers six times the performance of the chips China is currently allowed to buy. By selling these chips, the U.S. is essentially breaking its own safety rules and handing over hardware that is far more capable than the label of old technology suggests. This is viewed as a massive bailout for China because their own tech giant Huawei has admitted

it won't be able to build a chip this good until late 2027. Right now, China is struggling to manufacture high-end chips at scale. But if they can just buy the H-200 from Nvidia, they get to skip two years of hard work and struggle. This fast-forwards their military and AI capabilities instantly. The fear is that the U.S. is trading long-term national security for short-term stock market gains, giving arrival the exact tools they need to catch up just because the chip is technically a year old. So what does China do from here? China commentator and author of Red Rulet wrote that Beijing's priorities will shift almost overnight.

He argues that Beijing will read Trump as fundamentally transactional, meaning that everything is negotiable. He writes, expect a full court press in the coming months to secure the most advanced technology available across the spectrum, not just GPUs, but specialty materials, EDA software, and semiconductor manufacturing equipment that seemed untouchable only a day ago. Second, he argues, none of this will slow China's drive for semiconductor self-reliance, not even by a millimeter. China's long-term mission, he writes, remains unchanged, eliminate dependence on foreign chips.

Access to more advanced U.S. hardware doesn't dilute that goal. Historically, it is sped it up. Seemingly in line with that second point, the Financial Times reported this morning that the Chinese government was planning to limit access to NVIDIA's H-200 chips, even though they were now approved for export. The FT sources suggest that buyers of the H-200 will be required to go through an approval process, submitting requests, and also in the same process explaining why they weren't able to use Huawei or another domestic manufacturer to meet their needs.

Now, in addition to the Chinese government slowing down these plans, there also is legislation moving through Congress that would prevent the White House from approving the export of chips, including the H-200, to China for 30 months. which brings us to our second policy story of the day. One of the things that we've been tracking here is the White House's push for federal policy over state policy when it comes to AI. A few weeks ago, we started to get reports

that not only was the White House thinking about releasing an executive order that would set up a commission to sue states that pursued their own AI regulations, but that this was causing some serious consternation within the Republican Party. After the EO was dropped because of that pushback, it seemed the next venue for trying to get this through

was to try to add an amendment to the must-pass national defense authorization act that would once again block state-created AI laws. While we haven't gotten the executive order yet, but also on Monday on Truth Social, Trump tweeted this. There must be only one rulebook if we are going to continue to lead in AI. We are beating all countries at this point in the race, but that won't last long if we're going to have 50 states, many of them bad actors, involved in rules and the approval process. There can be no doubt about this. AI will be destroyed in its infancy. I will be doing a one rule executive order this week. You can't expect a company

need to get 50 approvals every time they want to do something. That will never work. AI czar David Sacks flesh out the concept in a longer post on X. He tried to make it a lot more political, with about half of the post, raising the boogeyman of what the White House has effectively called woke AI before. Republicans continue to not be fully aligned around this, responding to a tweet that said, I hope Florida plans to challenge Trump's new EO he's going to sign this week. Florida Governor Ron DeSantis wrote, An executive order doesn't and can't preempt state legislative action. Congress could theoretically preempt states through legislation.

The problem is that Congress hasn't proposed any coherent regulatory scheme, but instead just wants to block states from doing anything for 10 years, which would be an AI amnesty. I doubt Congress has the votes to pass this because it is so unpopular with the public. Showing just how weird the bedfellows are getting, AI safety voice Max Tegmark, quote tweeted DeSantis and said, I agree. It's pretty clear that what the AI lobbyists want is one rule that's de facto no rule. Let's stop this corporate welfare by treating AI companies just like we treat other powerful industries

and not leaving them less regulated than sandwich shops. Now, it is way beyond the scope of this particular show to get into the merits of the state versus federal framework. Turns out that's been a conversation that we've been having for the roughly 260 years since we became a country. But what is interesting to me in this particular case is not even just the policy but the politics. There is a growing sense that Trump is making a major bet here that is not necessarily in sync with his own party. Indeed, Axios wrote a piece called Trump Betts Party and Presidency on AI.

The way that they described the political risk is this. Trump is flooring the gas pedal at the very moment some of his most ardent MAGA backers are warning AI could destroy the working class Americans who brought him to power. The fear is that AI and AI powered robots will eat vital American jobs before the nation has time to prepare the U.S. workforce for sci-fi level change. The bottom line, they write, if White House AI and Cryptozar, David Sachs, and others are right that AI juices economic growth and new jobs, Republicans will likely prosper. But if they're wrong, where the benefits come after a few years of pain, it could be politically catastrophic. Now, I promise you guys that this is not going to become a political podcast, even as we head into the election cycle next year.

However, because of that election cycle, I do think what's going on in the political world and the policy world could have fairly dramatic impact on the technology that we're all using. And so every once in a while, I will pop over to cover that, despite the focus continuing to be on the more practical and business-oriented side of AI. For now, that is going to do it for today's AI Daily Brief. Appreciate you listening or watching. As always, until next time, peace.