The 3x Payoff of Deep AI Integration

**Nathaniel Whittemore** (0:00)
Today on the AI Daily Brief, a set of new studies that show the widening gap between enterprise AI leaders and enterprise AI laggards, and before that in the headlines, Apple is reportedly developing an AI wearable pin. The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI.
Welcome back to the AI Daily Brief Headlines Edition, all the daily AI news you need in around five minutes. A couple of years ago, when Humane announced their AI pin, no one could mistake the self-conscious references to Apple all over that company. Some of the founders were ex-Apple, the aesthetic was very Jobsian, and the design of the device was clearly striving to hit some of that simplicity. Now we all know how that story ended, with a bang not a whimper, as YouTube reviewer Marques Brownlee called it the worst product he'd ever reviewed. Apparently Apple have now decided that they want a bite at the Apple, as it were. The information reports that Apple's new AI wearable pin will contain a pair of cameras and three microphones. The design is described as a thin, flat, circular device with an aluminum and glass shell around the same size as an airtag only slightly thicker. The information noted that it isn't clear whether this is an individual device or something designed to be bundled with smart glasses or other devices. The report states that Apple may attempt to accelerate development of the product to compete with the OpenAI device. According to the information, the PIN could be released next year with a production run of 20 million units at launch. The takes weren't great, showing the skepticism that has brewed around Apple's AI strategy over the last couple of years. NavinonX writes, Apple developing a dedicated AI wearable is an admission of failure. They already own the two best wearables on Earth, the watch and AirPods. If they need a new plastic bobble to make AI useful, it means they can't make Siri work on the devices we already own. Prediction, it will be a $300 accessory that still requires an iPhone to function. Akash Gupta compared them to Meta and said, Apple just told you they're two years behind the one form factor that actually works. Meta shipped 4 million AI glasses in 2025 and owns 80% of the market. Sales tripled year over year. The Ray-Ban display version sold out in 48 hours. Meanwhile, Apple is prototyping a pin. The last company that tried this was Humane. They raised $240 million, launched at $700, got called the worst product I've ever reviewed, and sold to HP for $116 million less than a year later. Apple watched all of this happen and decided to build the same thing. Now, Akash argues the form factor war is over and glasses won. People already wear glasses, no behavior change required. But I think Naveen is also right when he says that the two best wearables on Earth are the watch and AirPods. As I've said numerous times on this show before, I think AirPods in particular have a potentially unique role to play. But then again, I'm also a boomer who isn't fully on board with everyone's seeming critiques of the terrors of the phone. So who knows? Now, speaking of Siri, according to Bloomberg's Apple Insider Mark Gurman, the company is planning to turn Siri into a ChatGPT style chatbot. Writes Gurman, The chatbot, codenamed Campos, will be embedded deeply into the iPhone, iPad and Mac operating systems and replace the current Siri interface. Users will be able to summon the new service the same way they open Siri now, by speaking the Siri command or holding down the side button of their iPhone or iPad. Siri will accept both speech and text inputs, mimicking the user experience of rival chatbots.
Now, on the one hand, this feels completely inevitable, and yet at the same time, it is something of a notable pivot. One of the outgoing AI leaders, Craig Federighi, had been adamant that he didn't want Siri to be a chatbot. Gehrman also reports that Siri will be driven by a custom version of Gemini under Apple's new partnership with Google. His sources said that the custom build will allow Siri to... significantly surpass its personalization features. That includes integration with Apple's core apps and the ability to use open windows and on-screen data as inputs. Apple intends for Siri to have the ability to control the device, including accessing the file system, placing phone calls and using the camera. The headline suggested this was a move to fend off OpenAI. All of which brings up to me the sort of obvious thing that perhaps, rather than thinking of this new superpowered Siri solely as a competitor to ChatGPT, the better reference point, given the deep integration with the operating system, might be Claude Code. Still, whatever it ends up being, there are so many people who just want Siri to actually be able to do what it seems like it should have been able to do for the last five years that I think that when it comes, people will suspend their skepticism for a little while just to be able to keep using the devices they already own. Now, moving over to another company that's got a lot to prove in 2026 New model training has apparently been achieved internally at Meta as their new AI team ships a preview. At a press briefing in Davos, CTO Andrew Bosworth said the super intelligence team delivered their first AI models earlier this month for internal testing. Bosworth said they're basically six months into the work and that the models are very good. Now, back in December, we learned that Meta was developing two models, Avocado, a language model that reportedly excels at coding tasks, and Mango, a visual model with image and video capabilities. Bosworth didn't identify if these were the models delivered, but did comment on how much work had happened since the summer. He said, There's a tremendous amount of work to do post-training to actually deliver the model in a way that's usable internally and by consumers. Overall, Bosworth said that Meta felt like they were seeing returns from the big moves that were made in 2025 Bosworth acknowledged that it was a tremendously chaotic year, but remember, Google had one of those in 2024 and we've seen how that worked out. Consumer AI certainly seems to be Bosworth's North Star for Meta's product. In a discussion of the AI bubble at Davos, he said, I think consumers and societies are ultimately the beneficiaries of this tremendous land grab of power, data centers and GPU capacity. Speaking of GPUs, one of my predictions for this year was Congress potentially trying to wrest control back from the White House when it came to chip export policy, and that certainly seems to be happening. The House Oversight Committee has advanced a bill to seize power on chip export controls. On Wednesday, the committee voted overwhelmingly in favor of the AI Overwatch Act. The bill would grant Congress the power to review and block chip export licenses granted by the Commerce Department. That power would be vested in both the House Foreign Affairs Committee and the Senate Banking Committee, giving both chambers veto over advanced chip exports. Essentially, the power mimics congressional oversight for arms deals. The bill also includes a two-year ban on the export of Nvidia's top-of-the-line Blackwell chips, which of course haven't been considered as part of recent changes. In a bipartisan vote, the bill gathered 42 votes in favor with only two opposed. It will still need approval in the Senate Banking Committee and a full vote across both chambers, but it seems like it has strong momentum for both parties. Whether the president will sign a bill that limits his own power is another question. It's beyond the scope of this show, but there is a lot of interesting intrigue when it comes to divisions in the GOP around this. Republican Brian Mass, the chief sponsor of the bill, commented, If we were just talking about war games on Xbox, then Jensen Huang could sell as many chips as he wants to anybody that he wants. But this is not about kids playing Halo on their television. This is about the future of military warfare. I believe that we all agree that we are in an AI arms race, so why wouldn't we want to know what the AI arms dealers want to sell to our adversaries? Lastly today, a quick update or senel story that we've been following for the past week or so. OpenAI has announced a leadership shakeup around returning staffer Barrett Zoff. According to the information, CEO of Applications, Fiji Simo, has announced that Zoff will now lead the Enterprise Division. COO Brad Lightcap will hand over responsibility for product and engineering for the Enterprise to focus on what they call commercial functions. In a separate move, CTO of Applications and former Meta engineering lead Vijay Raji will lead OpenAI's advertising push. Simo said the moves were designed to bring research, product and engineering teams into better alignment. Zoff was of course the locus of controversy earlier this month after his shock departure from Thinking Machines Lab where he was listed as one of the co-founders. The story devolved into he said she said coverage as sources speculated on the true reason for his departure. Ultimately though more interesting than that is the fact that OpenAI has decided to name him the head of Enterprise when that is a very important and contested area and indeed the area of focus for our main episode. Welcome back to the AI Daily Brief. Today we are talking about a trio of new surveys that help tell the contemporary story of Enterprise AI as it is deployed. The surveys come from PwC, Workday and AI Support and Training Consultancy section. And part of the reason that I wanted to do this episode is not only that there is rich interesting information in that data, but that the initial reporting around it has a very distinct slant which while I don't think is wrong, I do believe is misleading in a way that could be dangerous. In short, the mainstream reporting around these surveys leads to a suggestion of AI underperformance. It contributes to a sensibility that AI is overhyped. The story that I think the data is actually telling is yet more evidence of the widening gap between leaders and laggards when it comes to AI adoption. And the implications of those two stories are very, very different. So let's talk about how the media, specifically the Wall Street Journal, summed up this story with their piece, CEOs say AI is making work more efficient. Employees tell a different story. And again, to be clear, none of the data that the Wall Street Journal here is focusing on is incorrect or even insignificant. Their first graph shows a statistic from the Section Survey, who, for full disclosure, are a sponsor of this show right now, but who actually didn't even share this survey with me. I only found it when I saw this Wall Street Journal article. In any case, that survey was conducted around the same time as our AI ROI survey for AIDB, and surveyed 5,000 white-collar workers from companies with a thousand people or more in the US, UK and Canada, concentrated around October of last year. When asked how much time they think they personally are saving each week by using AI, the C-suite was saving a ton of time. 33% were saving 4-8 hours, a quarter were saving 8-12 hours, and almost a fifth were saving more than 12 hours a week. Meanwhile, among workers, only 2% were saving more than 12 hours per week, more than a quarter were saving less than 2 hours, and the largest category by far, 40%, said they were saving no time. A representative quote comes from North Carolina user experience designer Steve McGarvey, who said, Executives automatically assume AI is going to be the savior. I can't count the number of times that I've sought a solution for a problem, asked an LLM, and it gave me a solution to an accessibility problem that was completely wrong. Which brings us to the Workday research. The headliner stat from that survey was that 37% of the time saved through AI is being set by rework. In the executive summary, they write, Employees report spending significant time correcting, clarifying, or rewriting low-quality AI-generated content, essentially creating an AI tax on productivity. For every 10 hours of efficiency gained through AI, nearly 4 hours are lost to fixing its output. In other words, they say 1.5 weeks a year is being lost to fixing AI outputs, per highly engaged employee. Another area of divergence between workers and executives had to do with anxiety around AI. For workers, the percentage who said they were anxious or overwhelmed versus excited was nearly a 70-30 split to the side of anxious. On the C-suite, the split went the other way, with more than 70% being excited, while less than 30% were anxious or overwhelmed. All of this leads to what can only be described as underperformance in terms of actual financial impact. They highlighted that in a new PwC survey of CEOs that was released to coincide with the WEF in Davos this week, just 12% of CEOs said AI had delivered both cost and revenue, while 56%, more than half of the nearly 4,500 CEOs polled said they had seen no significant financial benefit so far. So like I said at the beginning, none of this is incorrect information and all of it is interesting and important signal. My concern is that the way that it's being presented contributes to a sensibility that AI itself is underperforming and that AI itself is overhyped. The reason that matters is that it has the potential of changing the way that individuals and companies think about AI adoption. Put simply, some number of people are going to see this and feel like it perhaps takes them off the hook a bit. That in other words, they were right to be skeptical and that maybe they don't have to figure out where to carve out the time to learn how to use these new tools because they're not all that good anyway. On an individual to say nothing of a company level, this is not a winning strategy for adapting to the new world that has in fact already arrived. As I said at the beginning, my interpretation is a little bit different. I think that all of these studies are actually adding up to a story of a widening gap between leaders and laggards. Let's hone in and focus on the vanguard of companies. Those 12% right here who are seeing both an increase in revenue and a decrease in cost from AI, rather than focusing on this 56% number of CEOs who haven't seen a change in either revenue or cost, what makes these 12% different? Are they doing things that is different? The short answer is absolutely yes. Those vanguard companies, that top 12% who are actually seeing double financial gains in terms of increased revenue and reduced cost, are 2.6 times more likely to have embedded AI into their core processes.