What Should the Government’s Role in AI Be?

0:00Today on the AI Daily Brief, what should the government's role in AI be? Before that, in the headlines, some previews of Nana Banana 2, and a question of whether it's all a part of Gemini 3. The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI.

0:23All right, friends, quick announcements before we dive in. First of all, thank you to today's sponsors, Robots and Pencils, Blitzy, Area, and Super Intelligent. To get an ad-free version of the show, go to patreon.com slash ai daily brief, or you can subscribe at Apple podcasts. And to learn more about sponsoring the show, shoot us a note at sponsors at ai daily brief dot AI. Lastly, as I have been telling you guys, we are in the midst of our AI ROI benchmarking study, and we have just hit a major milestone. We have now had people contribute more than a thousand use cases articulating the ROI that they're getting from them.

0:56We're starting to see patterns around which categories of ROI are most common, from time savings to new capabilities to new revenue. We're getting a good distribution of small, medium, and large-sized companies. We're going to have the study open for another couple weeks to really try to build the most comprehensive database of ROI-rated use cases that exists. And if you want to contribute and get the full report that comes out of that, go to roisurvey.ai. Welcome back to the AI Daily Brief Headlines Edition, all the daily AI news you need in around five minutes. We kick off today with one for all the new model enjoyers out there.

1:30Nano Banana 2 seems to be going through testing at the moment. Now you might remember how earlier this year, towards the end of the summer, Nano Banana really took over the image generation world. It wasn't necessarily that it was better at raw image generation than other models, but at the fact that it was so much more steerable and that it gave people the ability to edit in a fine-grain kind of way. This opened up all sorts of new practical possibilities and made it a really beloved model. Well, Nanobanana 2 appeared to have been available for a few hours on Media.io over the weekend and is giving some very impressive results.

2:04A user called Singularity on Reddit showed their testing of generating the solution to a math problem written on a whiteboard. The text rendering is significantly improved and the new model was able to generate the correct answer where Nanobanana 1 failed. Singularity wrote, the model is extremely powerful, a huge step up from Nanobanana 1 and this output was extremely impressive to me. Leo on X managed to generate a very convincing Windows 11 desktop, showing a Mr. Beast thumbnail on YouTube. Also on X, Roberto Nixon showed that the testing was completely without guardrails, generating a photo of Diddy hanging out with Elon Musk and a CNN splash screen discussing a Trump third-term prediction.

2:41From those outputs, the image model appears to be now photorealistic to the point of being absolutely indistinguishable from reality. SRK Dan showed the model passing the impossible clock and full-wind glass tests, as well as generating a pink ocean and a glass Big Mac with perfect reflections. Gaga from Media.io said on Discord that the model was taken down by Google and that it was only intended for internal testing. However, they noted it performed amazingly well in testing. According to Testing Catalog, the model is slated for release on November 11th, which, if true, means we won't have to wait long.

3:12They wrote that the new model is notable for its, quote, improved ability to process complex tasks, such as precise coloring, advanced control over viewer angle, and correction of textual elements within generated images. Now, the model seems to draw in elements of Google's reasoning models as part of an advanced workflow. It spends time planning the output, reviews the initial generation, and iterates to correct errors before presenting a final result. Adding visual reasoning into the workflow seems to allow the model to generate plausible text and accurate math without needing to spell everything out in the prompt.

3:41Now, reports were mixed on whether the workflow was based on Gemini 2.5 Flash or if this will be our first glimpse of Gemini 3.0. The rumor mill is swirling once again that we are finally going to be getting Gemini 3.0 this week, although some speculate that with the release of Kimi K2 Thinking, which is a topic that we'll be coming back to a little bit later this week, that we might get a bit of a delay. Next up, a check-in on where markets are as we head into the week. And at least at the moment, it appears the AI trade may be falling out of favor at least slightly on Wall Street. A series of tumultuous headlines sent AI stocks tumbling last week.

4:14The Nasdaq index overall fell by 3%, which was its worst week since the first set of tariff announcements back in April. The high flyers were particularly hard hit. Palantir was down 13 % for the week, Oracle dropped 9.7%, and NVIDIA was down by 9.6%. The drawdown bottomed out on Friday, but still raised many questions about the sustainability of the AI bet. Jack Ablin, the chief investment strategist at Crescent Capital, said valuations are stretched. Just the slightest bit of bad news gets exaggerated. And good news is just not enough to move the needle because expectations are already pretty high.

4:45Now, we certainly had abundant bad news last week. OpenAI executives talking about a backstop, which got translated to a bailout, which we'll talk about a little bit in the main episode, plus Michael Burry of Big Short fame pounding the table about going short once again. Still, the story was clearly not just about AI itself, but also about the broader economy. David Miller, the CIO at Catalyst Fund said, you've had these macro factors that were effectively making some noise for a while, but nobody really wanted to listen. The consumer sentiment numbers and the employment numbers weakening, it's forcing people to look at the bigger picture.

5:15Of course, for many on Wall Street, the bigger picture is that they've already had a fantastic year and it's time to start booking profits. The Nasdaq is up 19 % year-to-date and an AI-centric portfolio has vastly outperformed. Many portfolio managers will be tempted to cut risk, secure their bonus and book a ski trip, rather than hold out for a few more percentage points to end the year. Stephen Colano, the CIO at Integrated Partners, commented, Investors are on edge. Seems like the profit-taking is coming from the things that have run the most since early April, which is AI and anything connected with it.

5:43Legendary investor and professor of behavioral economics Peter Atwater said, If you watch this week, there's been a decided negative bias to what people are saying about AI. If we see the mood deteriorate, the skepticism should rise, the scrutiny should intensify, and those would be behaviors that ultimately limit the potential of the market to bounce. Now this is not a macro or a finance show, but I think it's pretty important when we do cover these topics to also note when there are things going on that are outside of the narrative factors. And the reality is that there have been a lot of things, both narrative-wise and structurally, that have been depressing markets as well.

6:15We've been mired in the longest government shutdown for a long time, and there has also been just a ton of macro liquidity receding. For example, there was a ton of stress in repo markets last week that seems to be lifting going into this week, making it pretty interesting that macro factors are being read as AI bubble burst when it's really just a broader correlation. Certainly some don't seem to care. At an event for Goldman Sachs young wealth management clients last month, AI was very clearly on everyone's mind. Brittany Bowles-Mohler, the regional head of Goldman Sachs Wealth Division for San Francisco, explained the bank's view that AI is not a bubble.

6:46Speaking with Fortune after the event, she said, will there be some winners and losers from AI? Absolutely. There will definitely be some places where valuations are overblown and time will tell where those spaces are. But we do not think we're in a bubble and we pay very close attention to that. Now, one big takeaway from surveying the group of wealthy millennial founders and inheritors was that they are already looking beyond the core theme to opportunities for AI-adjacent investments. Energy was a big focus, as the AI infrastructure boom will require a generational investment in U.S. energy production, and clients also apparently want to invest in AI-enhanced healthcare, including breakthroughs in diagnostics.

7:19Lastly today, whatever's going on with markets, the compute build-out continues. NVIDIA CEO Jensen Huang is asking TSMC to boost production to satisfy demand. In comments to the press in Taiwan at a TSMC event on Saturday, he said, The business is very strong and it's growing month by month stronger and stronger. He noted that NVIDIA's three suppliers of memory chips have already, quote, scaled up tremendous capacity to support us. TSMC, which produces the central GPU chip, seems to be the limiting factor in a supply chain running at full capacity. Not diplomatic as always, Huang wasn't at all critical about TSMC's efforts as a partner.

7:51He acknowledged no TSMC, no NVIDIA. Still, Jensen said his company is working through a record half-a-trillion-dollar order book over the next year, and they need as much capacity from TSMC as they can get. By all accounts, though, TSMC is already operating at full capacity. CEO C.C. Wei told employees at a Saturday event that he expects to see record sales every year for the foreseeable future. He acknowledged that Jensen had, quote, asked for wafers, but said the number was confidential. Taiwanese media reported that TSMC would be increasing their production of 3-nanometer chips by around 50 % to reach 160 ,000 wafers per month.

8:23NVIDIA reportedly will take more than half of that additional capacity as they scale up the delivery of Blackwell chips. So as we kick off this Monday, we've got new models, market mayhem, and the never-ending search for compute. All in all, it sounds like a pretty AI start to the week. However, that's going to do it for the headlines. Next up, the main episode.

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11:47Welcome back to the AI Daily Brief. Today we're following up on the dust-up and hullabaloo surrounding the backstop comments from OpenAI last week and expanding the discussion out to ask what the government's role with AI should actually be. It's pretty clear to me, observing this field every day, that we are moving into a more intensely political era for AI. Now, part of that is just where we are in the U.S. election cycle. We have the midterms coming up. And right now in particular, there is a moment of exploration among many politicians to figure out what it is they think potential voters are going to want to hear.

12:20And there are certainly early indications that a more populist economic message is going to be popular. Still, even if it weren't for that, the politics of AI were always inevitably going to come into focus as the technology got more powerful and as we started to see its impacts play out in the world. At the end of last week, OpenAI published a blog post about the next phase of AI. But to properly contextualize it, I actually want to go back to those comments from OpenAI CFO Sarah Fryer and Sam Altman himself that kicked off such a storm last week. Now, for those of you who weren't paying attention last week, in a conversation at a Wall Street Journal conference, OpenAI CFO Sarah Fryer was having a conversation about what she thought the role of government should be in this broader compute build-out with regard also to how it related to geopolitics vis-a-vis China, and she unfortunately reached for the word backstop as a way to describe the government's role.

13:11Now, it wasn't just an errant word. She also talked about the U.S. government guaranteeing loans to bring down the cost of capital. And all of this dovetailed with comments from Sam Altman on a podcast with Tyler Cowen from earlier in the week, where he also talked about the government as the insurer of last resort when it came to things as big as AI. And as you might imagine, given how contentious a lot of this open AI dealmaking is already and how much skepticism there is in markets, that they'll be able to pull off these lofty ambitions, anything that hinted that the company might already be looking for a bailout, even though that was not a term that they used, was enough to send the news editors into overdrive.

13:48And as sometimes happens, what was initially a very short statement led to a ton of follow-up words to try to clarify. On Thursday afternoon of last week, Sam Altman tweeted, I would like to clarify a few things. Which ended up being a thousand-word tweet. Altman started, First, the obvious one.

14:19He continued, though,

14:36sense to provide lower cost of capital to do so. Building a strategic national reserve of computing power makes a lot of sense. But this should be for the government's benefit, not for the benefit of private companies. Now, just a couple hours before this, White House AI czar David Sachs made the position of the administration pretty clear. There will be no federal bailout for AI. The U.S. has at least five major frontier model companies. If one fails, others will take its place. Sachs continued, That said, we do want to make permitting and power generation easier. The goal is rapid infrastructure build-out without increasing residential rates for electricity.

15:08Now, Sachs also added, finally, to give the benefit of the doubt, I don't think anyone was actually asking for a bailout. That would be ridiculous. But company executives can clarify their own comments. Now, one area where Altman got a little bit more specific, as part of his clarification, was around U.S. infrastructure build-out. He wrote, The one area where we have discussed loan guarantees is as part of supporting the build-out of semiconductor fabs in the U.S., where we and other companies have responded to the government's call, and where we would be happy to help, though we did not formally apply.

15:37The basic idea there has been ensuring that the sourcing of the chip supply chain is as American as possible in order to bring jobs and industrialization back to the U.S., and to enhance the strategic position of the U.S. with an independent supply chain for the benefit of all American companies. This is, of course, different from governments guaranteeing private benefit data center buildouts. Now, this is something we've heard from OpenAI before. In a letter last month to the White House Office of Science and Technology Policy, they asked the government to extend CHIPS Act subsidies into other necessary infrastructure like transformers for the grid, AI server production, and AI data centers.

16:11Now, cutting to the heart of the discussion, Altman flagged that there are three questions behind the question that were causing concerns around this idea of a backstop or a bailout. The first question was how OpenAI will pay for$1.4 trillion in infrastructure over the next eight years. Altman said that revenue for the company is now at a$20 billion run rate, and he expects hundreds of billions of ARR by 2030. Now, this is a big update, and is basically 50 % more than previously reported numbers when it comes to OpenAI's ARR. Altman covered a range of new products they are looking to build out, including their enterprise offering, robotics, and consumer devices.

16:45He said that they also might consider selling compute to other companies along the way if they overbuild. But ultimately, he said, everything we currently see suggests that the world is going to need a great deal more computing power than what we are already planning for. The second question was whether OpenAI was intentionally becoming too big to fail, ergo forcing the government to stand behind them. Altman wrote, Our answer on this is an unequivocal no. If we screw up and can't fix it, we should fail, and other companies will continue on doing good work and servicing customers. That's how capitalism works, and the ecosystem and economy would be fine.

17:15We plan to be a wildly successful company, but if we get it wrong, that's on us. Altman referenced that interview with Tyler Cowen, the one in which he had said that he thinks that the government ends up as the insurer of last resort. In this clarification post, Altman claimed that this wasn't supposed to be about the infrastructure build-out, but rather the catastrophic risk of rogue AI or bad actors sabotaging AI infrastructure. In that context, Altman said that he does believe that the government, quote, should be writing insurance policies for AI companies. Third and finally, Altman addressed the question of why OpenAI needs to spend so much now and can't grow more slowly.

17:47He wrote, We're trying to build the infrastructure for a future economy powered by AI, and given everything we see on the horizon in our research program, this is the time to invest to be really scaling up our technology. Massive infrastructure projects take quite a while to build, so we have to start now. Allman noted that even now OpenAI needs to rate-limit their products and are facing a severe compute constraint. Echoing comments that we've heard over and over from Mark Zuckerberg, Allman wrote,

18:23Finally, previewing some of the themes from that blog post that was released a little bit later, Altman wrote,

18:37So how did the market respond? Former Trump White House policy advisor Dean Ball, who had jumped all over the comments when they were initially released, posted a long and thoughtful response touching on numerous points. He reinforced why the government shouldn't get involved in loan guarantees, taking equity stakes or picking winners. Partially because the failure of a major company becomes a big liability for the government, but also because it limits the ability for new and better competition to emerge. On the point of government insurance for catastrophic risk, Ball noted that the nuclear industry is the canonical example and that insurance of meltdown risk is guaranteed in exchange for strict safety regulations.

19:12He wrote, There are merits and demerits to this idea, but it's not a crazy one to consider for advanced AI. Ball also covered the policy maze of the government reducing the cost of capital for strategic industries, noting that this is already happening for semiconductor fabs. He gave the example of gas turbines where the government doesn't provide loan guarantees or subsidies. Instead, to smooth over the notoriously boom-and-bust industry, the government serves as the buyer of last resort. That allows companies to expand with confidence that a buyer will be there in the worst-case scenario, but doesn't tax the government's resources in the interim.

19:43Ball said that he had advocated for this approach during his time in the Trump White House, and he could see this approach moving forward. He wrote, This idea involves the government taking limited predefined risk. The political economy problems with this are non-zero, but they are far smaller than the regulatory capture that would ensue from the U.S. government guaranteeing untold billions of open AI debt. Summing up, Ball noted that in the public interest proposals written by policy folks, rather than live comments from executives, OpenAI seems to be thinking along the same lines. Rather than an open-ended bailout, they're proposing things that look more like industrial policy.

20:15He concluded, I absolutely do not support open-ended guarantees of frontier AI lab debt. I absolutely do support targeted industrial strategy to lower manufacturer cost of capital if it A, exposes the government only to narrow predefined financial risk, and B, seems likely to yield tangible and durable beneficial assets for the American people. In the case of my example, he wrote, Natural gas turbines to make electricity which is useful beyond AI, and which we need much more of regardless of AI. Altman seemed to agree with the premise, responding via quote tweet, The government has played a role in critical infrastructure builds.