Everyday AI Podcast – An AI and ChatGPT Podcast - Ep 853: The State of the AI Race. Who will win in 2026: OpenAI, Microsoft, Google Or Anthropic (Start Here Series Vol 12)

Episode Date: September 1, 2026

Who will win the AI race in 2026? 🏇Will Google finally catch OpenAI in users? Has Claude surpassed ChatGPT in capabilities? And.... how can your company avoid the AI battles and just pick its lane? So many AI questions. We've got your AI answers. As part of our ongoing 'Start Here Series' we tackle one of the most important questions for most enterprises: Who will win the AI race and how do you decide? The State of the AI Race. Who will win in 2026: OpenAI, Microsoft, Google Or Anthropic -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTopics Covered in This Episode:AI Race 2026: OpenAI, Microsoft, Google, AnthropicChatbot Era Ending: Rise of Agentic SystemsOpenAI vs Google vs Anthropic User StatsLarge Language Model Benchmark ComparisonsEnterprise AI Adoption TrendsAgentic Workflow Automation: Business ImpactsMicrosoft Copilot and Governance FeaturesAnthropic Claude’s Premium Intelligence IntegrationTimestamps:00:00 "2026 AI Race Predictions"04:01 "AI's Daily Driver Era Arrives"08:31 AI Revenue and IPO Trends10:10 "Revenue Success with Fewer Users"13:42 AI Integration and Market Impact19:49 Microsoft's Role in OpenAI Investments21:00 "Microsoft vs Google: AI Investments"26:42 "Anthropic's Focus on Specialized AI"30:34 Microsoft Copilot's AI Evolution31:28 Microsoft Copilot: CEO's Hands-On Vision35:13 AI Coding Models Market Trends38:44 "Modular AI for Enterprise Success"42:06 "Everyday AI: Subscribe Now"Keywords: AI race, state of AI 2026, OpenAI, Microsoft, Google, Anthropic, enterprise AI, consumer AI, agentic systems, AI workflow, large language models, multimodal AI, Gemini, ChatGPT, Copilot, Claude, Claude Opus, Claude SONNET, AI operating system, AI agent,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Welcome to the Everyday AI podcast. My name is Jordan Wilson, and for the past three and a half years, we put out more than 800 episodes. Yet, one of the most common questions I get I didn't really have an answer for. Where do I start on the Everyday AI podcast? And that's why we started the Start Here series. And with the fall now back in full swing, the Everyday AI podcast is going back to school and playing back the entire Start Here series from front to back. We've hit pause on our normal Monday to Friday programming to run back our most popular series ever for the next 30 days. We made the Start Here series for beginners and AI champions alike.

So whether you're just trying to get a grasp on large language models or grappling with the best coding harness for multi-agentic workflows, the Start Here series covers it all. Plain language, no jargon, and easy to follow along each day. So make sure to subscribe to the podcast. podcast and check back each day for new insights day by day. The series is a culmination of spending more than 10,000 hours covering generative AI over the past three and a half years. So you don't want to miss a single episode of the start here series.

Let's get into it. What company will win the AI race in 2026? Yeah, it's a lot of fun for AI geeks like you and me to argue this and to follow the benchmarks and literally every single week or every other week argue about. about the new next best model. But the answer, obviously, to that question is much more nuanced than a single company. And the answers, obviously, hold extreme value for today's business owners and decision makers.

That's because you've probably already, and if not, you will soon. Look at the big four in the face and say, hey, which company should our organization be using when it comes to AI, Microsoft, Anthropic, Google, or Open AI. So on today's show, we're going to be giving you some of the answers, but let me just get straight to the big picture here. Three years ago, one company controlled AI in OpenAI, but that era is over because now you have Microsoft, Anthropic, Google, and Open AI, all competing for the same thing.

Two things mainly, the Mindshare, right? That's the total number of consumers on the platform, and then the enterprise dollars, right? How quickly can you get those consumers over to start using it on the business side? But I think the 2026 winner of the AI race will actually come down to the workflow and how easy and how accurate it is to bring in in an agentic manner your company's data and for that system to deliver enterprise ready outputs. And it's not necessarily going to be the best model.

whoever makes it is going to be the one that wins the AI race. So on today's show, we're going to go over what the big four are actually competing for in 26, why the chatbot era ended and what comes next, where today's large language models from each company Excel and where they struggle. And last but not least, I am going to give you my kind of hot take, but, you know, educated opinion will say that on who is going to win what AI race from the big four companies. All right. I hope you're excited. Well, I am. So if you're new here, welcome to everyday AI in our Start Here series. This is the essential podcast series to both learn the AI basics and to double down

on your knowledge. So whether you are the key decision maker in your company or you're brand new getting into AI, well, the Start Here series is for you. So if you haven't already, please go to Start HereSeries.com. That is going to give you free access to our Inner Circle community and in there in the start here series space. You can go and listen to and read the entire start here series. I believe we're already on volume 12. All right. And if you miss our last episode, yes, it does help to listen to them in order. They're not super long, right? Most of them are between 25 and 35 minutes. And if you listen on 2X, they're even faster. All right. But in our last episode, we covered measuring AI ROI, why you're doing it wrong in the seven steps to fix it. My

Gosh, listen to that episode, put it into practice. But today on our start here series, volume 12, we're going over this state of the AI race. Who's going to win? So let's get into it and talk about what's changed. And, well, to put it simply, the chatbot era is very gone. It's done, right?

Bless up. I'd say even toward the middle of 2025, A lot of enterprise decision makers we're still looking at AI like a chat file. It's not like that anymore. In my opinion, I think GPT-5-4 thinking from OpenAI is kind of the first daily driver model that you can look at

across the entire business spectrum and be like, yes, we now have probably, right, depending on how educated you are, right, in terms of large language models and knowing how they work, Right. And yes, there's other great models, Gemini 3.1 Pro, Claude Opus 4,6. But I think we're probably now finally in March 2026 at the time where you can have a single model that is generally intelligent enough and transparent enough to be like, okay, we can move pretty much all of our day-to-day operations under here if we have the right experts kind of driving this thing. And it took a while to get the harnessing and the tool use around these chatbots to turn it into something more.

Right. I've been calling it in one of our earlier shows on the Start Here series was about the AI operating system. So make sure to go back and listen to that. But that's essentially where we've kind of transitioned from, away from AI chatbots, right, to now these are agetic systems that do work. Right. They deliver full outputs. And every major player of the big four has shipped a huge agenic product in the last 90 days. So let's go over some of the stats, some of the facts, some of the figures.

Let's talk numbers. Okay. Open AI, 900 million weekly active users. All right. Also, this is as of March 2026, right? So if you're listening to this, I don't know, in November or December of 2026, you know, obviously a lot of this, the models, the numbers have changed, but I'm going to guess I have a pretty good thumb on the pulse on these things, but I'm going to guess my overall

vibe and advice to you on each of these models will still probably hold true by the end of the year, if I'm being honest. But for the most part, Open AI is the leader when it comes to the number of users. They have become synonymous. Chat Chb-T is AI, right? You ask someone that isn't using AI every single day. They'd be like, hey, have you ever used AI? They're going to say, oh, you mean chat GPT? It is synonymous with AI. And that's because they have 900 million weekly active users.

And the last revenue estimate we got was $25 billion of annualized revenue. So this is the consumer default, but what most people don't realize, they're also the enterprise default as well, just because they've done a great job at converting those individual weekly active users on the consumer side. onto the business plans and the enterprise plans. Google is all over the place in maybe a good and bad way. Right. So the latest reports that we got were 750 million monthly active users,

okay, different from the 900 million weekly active users that we got from OpenAI and eight million paid enterprise seats. And I'd say top to bottom, they're the full stack leader. All right. That doesn't mean they're the best, right? But I mean, they have Gemini everywhere, right? In AI mode. So there's a good chance that you're using Gemini all the time and you don't even know it.

I believe it's 3.1 flashlight that powers the AI overviews and the AI mode. It's coming out everywhere, right? Especially if you use Gmail, if you use Google Workspace, we'll get into more of that later. but from everywhere from Vertex using Gemini in their Google AI studio, it's legit everywhere. All right, Microsoft. It's weird to say that Microsoft might be in third place when it comes to the enterprise, even though they had an unfair head start, right?

They launched Microsoft co-pilot in 2023. They were the first enterprise product for AI, right? And according to reports, You've seen about 15 million paid co-pilot seats. And according to those reports, 90% of Fortune 500 penetration. But they are kind of the default enterprise control plane, right? Most companies I talk to, right, when they hire us for front end AI strategy or to train their teams on chat GPT or something like that. Most of all, or mostly they're coming from co-pilot, right?

And what we've seen, I think a lot more recently is companies that, well, they're still going to use co-pilot because the company pays for it, but they're trying to move some of their operations in there. And I know Microsoft is doing a lot of work to counteract that and some of their more recent moves that we're going to talk about later. Anthropic, last but not least, reportedly $20 billion in annual recurring revenue. So not too far behind Open AIs reported $25 billion. So even though they're much, much smaller, they are doing a good job, at least. least on the revenue side. We haven't seen a lot in terms of total users from Anthropic.

I think it's because, you know, Open AI and Anthropic are both reportedly going public in 2026 with an IPO. I would assume Anthropic keeps their overall enterprise numbers under wraps because it is very small. And I'm just going to go ahead and say this now, right? People always accuse me of being anti-anthropic. No, I'm not. I love Anthropic.

I have a, you know, $200 a month anthropic. Max plan, right? There's obviously great applications for Anthropic, right? But there's a lot of information out there that's bad and wrong, right? So I'm just here to set the record straight. I currently have also, yeah, I currently have no, you know, no sponsorships or advertising with any of these four, although I have, we have advertised with Google and Microsoft on the past on this channel, right? There's a lot of bad information floating out there that says Anthropic is winning the, you know, the enterprise race from Ramp and Menlo. they're not. It's not even close yet. They're in fourth place. But what they've done a great job,

they've built great products, fantastic models. And I would assume, right, they probably have the highest revenue per user because they don't have a lot of users, right? They're nowhere in the, you know, 900 million or 750 million range that Open AI and Google are. But great models, great products. And like I said, they're probably doing the best in terms of revenue per user, which is an important metric to look at. So kind of the, for our live stream audience, you can kind of see the little graph here. If you're listening on the podcast,

nothing overly visual on today's show, but you can always watch the video version on our website at your everyday AI.com. And essentially, there's a lot of overlapping races. Because ultimately, I don't think that there technically is one race because you can lose the, you know, the consumer mindshare. like Anthropic is and you can still win the overall race, right?

But if I had to kind of, you know, peg each one, what is the lane that they're running in? So Open AI, I'd say they're the consumer default, right? They are synonymous with AI. They are AI, right? Even though they didn't create it, right? You got to tip your cap to Google there and the inventors of the transformer. But they are so far ahead of everyone else. I think personally, obviously the numbers tell it on the consumer side.

The numbers seem to tell it also on the enterprise side. And when it comes to the models, the benchmarks, right, their newest models there as well. Full stack multimodal, that's Google. I think Google is in such a great position in the long run because they are the only one multimodal by default accepts video input. They have probably the best source of training for the future. of AI like AGI when it comes to YouTube, right? And great on the robotics model side with their Gemini robotics as well.

So Google is, like I said, all over the place in a good and bad way. But I think they are primed to really excel in the long run. And I think they finally brought some updates to where people probably use Gemini a lot and had some bad experiences, which is in the workspace. And we're going to get to that in a little bit. Then Microsoft, they are, I'm just going to say, the interoperative. enterprise control plane. That's been historically dominated by Microsoft, right?

Because they are the only ones, well, they are the actual operating system of the computer until Apple ever decides they want to do AI, which they're not in the conversation, right? When you fire up your Windows PC, co-pilots there, right? ChatGPT is not living on your desktop when you fire it up by default. Google Gemini isn't. Anthropic Claw isn't. It is Microsoft co-pilot. However, their models are powered by OpenAI and Anthropic,

but that's kind of their lane. It is embedded workflow orchestration with the tools and the software that your company already uses huge on the identity and security governance side, obviously. And then Anthropic, I'll say they are the premium intelligence layer. So I don't think in the long run, They're going to have the best models, although right now their current models, Opus 4,6, and Sonnet 46 are some of the best there are.

I don't think in the long run, I do think that's going to be a Google Open AI conversation, but they have done a better job than probably everyone else at just kind of the premium intelligence integration. So everything from coding agents and how you can use ClaudeCode in different places to their recent, you know, plugins that have literally shook the stock market. right skills, you know, popularizing skills in MCP. So they are kind of the company that's inserting, you know, kind of their intelligence layer in more places in the high value financial workflows and model agnostic cloud deployments. So a little bit more in some of the strengths for each, right?

Open AI, let's get to them. They're the default. They're the, you know, no matter who you're comparing against, whether you're currently a co-pilot, You're saying co-pilot versus chat GBT. If your company is a Google workspace company, you're saying, okay, are we Gemini or are we chat GPD? Or maybe one of your teams really took off with Claude and you were using it early on. It's Claude versus chat GBT, right? Chat GBT GPT and Open AI, they're not going to be out of the conversation for any, anything, I don't think, in 2026 at least.

Today, best model, GBT-5-4 thinking GPD-5-4 pro, scientific benchmark side, they're winning. Everything from the traditional kind of MMLU type, right, the ACTs for the AIs to now the coding, the agetic harnessing, the computer use. So some of these areas from a benchmark perspective that used to belong to Anthropic, yeah, it's, it's, open AIs, right? I could obviously change next week, right? Because anytime one of the big three come out with a step up model, a decimal model, right? So going from a three one to a three two or a four six to a four or a five five, right? Anytime that happens, the benchmark and the sentiment changes, but open AI is never going to be out of it. Right. They've got some huge KAPX deals, right? More than a trillion dollars between SoftBank and Vidia and Amazon, sending huge deals all the time.

And when it comes to getting work done, you have to talk about the GDP bow, right? 83% win tie rate. So in blind taste tests, so to speak, producing work. Yeah, GPD 54 is better or ties expert humans, 83% of the time, best in the business. All right, Google, like I said, they're the multimodal full stack. All right. And they are all over the place. But according to Google, more than 120,000 enterprises are using their.

their technology across the stack, more than 8 million paid Gemini's enterprise seats, and their year-over-year generative AI revenue is up 400%. So yeah, it was the end of 2024 that Google just woke up and chose violence. So at least the last like 15 months, I think Google has been the winner, right? And then I think in terms of, you know, Open AI versus Anthropic, they've been competing. But, you know, obviously Google got off to a very bad start when it came to their Bard, right? The Bard model wasn't good. They came out with some marketing that kind of showed some capabilities of Google Bard that weren't exactly there.

And I think that really set them back by probably more than a year. But what they're doing on the multimodal and creative side is absolutely bonkers. I mean, when you talk about V-O3.1, again, these models, might have changed by the time you listen, y'all, I understand that. But when you talk about their video models and VO, their nanobananas, you know, image generation model, what it can do with infographics and slide generation, right, on the Gemini robotic side, I mean, their footprint is larger and wider than even Microsoft's, even though Microsoft has that huge head start of just living in the operating system.

All right. Speaking of Microsoft, like I said, they are the. enterprise control plane. All right. So we've seen reports more than 15 million paid Microsoft 365 co-pilot seats. And they did show a 160% year-over-year growth. And they did just recently launch a new offering. So we'll see what that does on the revenue side. It's called the M365E7 bundle. It's kind of a higher tier with some more inclusions than your basic Microsoft 365 co-pilot seat as well as the co-pilot co-work, which we're going to talk here in a little bit. But last but not least, you have Anthropic.

And I do think that they've come to dominate that premium execution layer. So essentially inserting their intelligence in different ways because I think that they've been developer-friendly and developer-focused from the beginning. So when it comes to large enterprises, a lot of their teams that maybe were helping make the decisions were maybe more comfortable. with some of the earlier opus and sonnet models. Obviously, they were kind of first to the game with Claude code, even though, yes, Microsoft, GitHub co-pilot has been around for a very long time.

But when it came from a perspective of an agenic command line interface coding tool that came out to a desktop program, even though I think that was still, Microsoft GitHub co-pilot should have, could have been that tool. But for whatever reason, it was anthropic. And that's helped them get extremely great traction. Yeah. So reports we've seen anywhere from $14 to $20 billion on the annualized run rate. Same thing, investing a lot on the CAPX, building their own, actually.

And the product footprint, everything from Claude code, which is on itself, a unicorn, right? Reportedly $2.5 billion in revenue just from Claude code. They have the new code work, sorry, co-work, which we'll talk about on the Microsoft side as well, which is, you know, allowing you to do your work on your desktop. So it's kind of like Claude code for non-developers. The new Claude marketplace, the office add-ins, the plugins, right? Anthropic over the past probably three months has been their best three-month run to date. All right.

And then we have to talk about equity investments because that's where this race gets not tricky, but the answer is nuanced because some of these companies might not be competing in areas where they could, well, because they already have their money and their equity in someone that's winning. So as an example, as of October, when OpenAI converted its operating structure from a nonprofit to a PBC or a public benefits corporation, well, Microsoft is the single largest shareholder of the Open AI group, PBC with a 277. percent stake in the company. They, yeah, they are the technically the largest single shareholder in the PBC. Also, Microsoft has a total investment commitment of $5 billion in Anthropic.

So Microsoft has a lot to gain even if they are losing consumers, right? If they have, you know, if they're shedding copilot licenses and those people are ultimately going to Chad GPT or to Anthropic, well, maybe it's, It's a dime out of the left hand, but a dollar in the right hand or vice versa, right? But ultimately, as long as they're not losing to Google, Microsoft is winning. I think a lot of people are overlooking that. Google also big investments. So in reportedly about a 14 or to 15% ownership stake in Anthropic.

So where Microsoft has a very large stake in OpenAI, Google, parent company Alphabet has a pretty big slice of that anthropic pie, which from a revenue only side is growing faster according to reports than anyone else's revenue pie. All right. So let's get back to Open AI and tell the story a little bit that way. So Chachypti went from zero to 900 million weekly active users in just over three years, which going from truly zero to nearly a billion, right, probably by the same. the time most people are listening to this. It's going to be a billion weekly active users.

It's never been done. It is just straight up hockey stick to the moon growth. Also, revenue finished with $2 billion in 2023. Now very quickly up to that reported $25 billion annualized revenue rate. And it's not just consumers. Yes, the overwhelming majority of those 900 million are free users using ChadGBT. But they do. have 50 million consumer subscribers and 9 million different businesses that now depend and use on and use the platform. And I'd say kind of my take here, Chad GBT is the easiest to use. It is. All right. I kind of wish they had their codex, their new coding platform. I kind of wish it worked inside of Chad GPT, whether you're using it on the web or the app. That's the thing, right?

I think Anthropic has done a great job with their desktop app for Mac as an example, you know, having the chat, co-work and code all under one roof. So I do think that was maybe a miss there from OpenAI, not just kind of integrating codex a little bit more tightly into chat GPT, specifically when it comes to the desktop app. But it is still the easiest to use by far, right? Anthropic, yes, it's a little, it can be a little confusing.

But I'd say Anthropic is probably the second easiest to use. But the UI, UX, ease of use, right? If your grandparent or parents are using AI, they're probably using chat GPT because it is the easiest. And like I said, it's become synonymous. And the new model, I think, is really, really, really good.

Right? I did a recent show on it, so you can go check that out if you want to. But I mean, it introduced native computer use, spreadsheet modeling and direct financial data integrations. The tradeoff, well, the cost can get high, right? especially on the enterprise side, you know, they don't publicly disclose those, but, you know, we hear anything from, you know, 50 to $70 per enterprise seat, right? So a little more than

Microsoft's baseline enterprise seat licensing. Obviously, their new $99. Open AI's enterprise one will come under that. But, you know, the tradeoff there, and I've been saying this, Open AI, I don't think cares about being profitable, right? They've updated their profitability, projections to say they might not be profitable until 2030. So essentially, you've had Anthropic and Open AI, the two kind of quote-unquote AI startups take a very different approach. Open AI has said, we care about users and they're winning that game by far. And I think Anthropic has cared probably more about profitability.

Again, we don't know the price per user, but my strong assumption is Anthropic is crushing everyone else when it comes to revenue per user because I don't think they have a lot of users, but I do know they have a ton of revenue. All right. So their biggest strength might also be their biggest weakness, right? Open AI can have had their infamous code red where they kind of realized that they, maybe they were lagging behind a little bit on the model side. So I do think over the last month or two, they've really corrected course on that.

But yeah, a lot of people argue that maybe Open AI is a little too distracted, right? So they have their video product. You know, it seems like they're trying to compete maybe with Google and Microsoft and Apple all at the same time. Could they do it? Maybe, right? Whereas Anthropic, its closest competitor is not doing any of that. They're not doing images like Open AI is. They're not doing video, right?

Open AI reportedly going into consumer hardware with devices maybe, you know, early 2027. But the consumer focus maybe has slowed down some of their model progress, some of their research, because they're having to devote a lot of their compute to things like the SORA app, right? Things like that. But they're spending reportedly more than anyone else. But at least they are winning on the overall numbers game. All right. Anthropic, I think it's the best for high stakes, high value, technical.

work. Emphasis on technical because I do think if you're looking at overall general work productivity, I still do think that Open AI and Google are probably the best for that. But Claude is a leader on complex reasoning, long documents, and economically valuable knowledge tasks. And they do say that eight of the Fortune 10 are Claude customers and there's 500 plus companies that are spending over a million dollars annually. So the product surface is very narrow. Anthropic, you can make the argument is a company that is extremely focused on doing one thing very, very well, and that's having very capable models that have a product market fit in usually niche areas. But now they are starting to

broaden out. I think toward the end of 2025, again, Anthropic has shocked me because they were really just geared toward the software development, the devs. The devs. right, highly technical financial tasks. And they have really branched out. I think Claude Co-work, you know, was one of those things, but really pushing skills, pushing the plugins. I do think that they're broadening out from maybe, you know, the technical model of choice to now they're probably, you know,

starting to win consumers over as they've branched out a little bit. And I think Claude code is one of the reasons why. Claude code really good. Personally, I do like Codex better, but Claudec has been a massive hit. You could make the argument. It could be a top five, you know, AI product of all time.

I mean, just Claude in, you know, less than six months came into $2.5 billion in annual recurring revenue. And that's right now 4% of all GitHub commits, which is a pretty big amount for a product that is this new. Also, they just launched their clawed marketplace with six different partners where you can kind of companies using that can commit their spend to some of their partners, Claude partners in their kind of plug-in ecosystem. All right, Microsoft, I'd hate to say it.

They are the safe kind of, you could say old school AI, right? They're the safe AI. safe bet. And one of the reasons is, well, it's the one that's approved by most enterprises out of the box because it is literally built into the ecosystem. It is built into the operating system. So it's already embedded, according to reports, more than 90% of Fortune 500 companies are using Microsoft 365 co-pilot daily. A big new shift, well, Microsoft announced pilot co-work powered by Anthropics Co-Work technology. And it is going to be probably a slow rollout over the next few quarters until the wider

business world has their hands on it. But this does bring that multi-step task, you know, where essentially it's just doing your work, right? If you've used Claude Co-work, it has access to all your files on your computer. It can produce documents. It can use a terminal. can power a power and control a browser, right? So it is very much like an intern or a junior researcher. It can access all your files, create files, use a computer, use a terminal,

use control a browser, right? All these same things that a human can. So I do think that this co-work kind of movement now that Microsoft is starting to product ties as well is one worth paying attention to. All right, Microsoft, their biggest advantage is one that no one else can really replicate. That's AI by default. Like I said, even if people maybe don't want it, they're going to see co-pilot inside of Word, Excel, Teams, and Outlook, although I do think it's gotten much, much better. I think Microsoft probably had some of the same early problems as Google when, you know, they were slapping their co-pilot in all of their, you know, all of their office products and it wouldn't always work very well. I think they've gotten that tied up in the last

probably six months, and now that they have kind of the, the agentic options inside of their office products, even more so. And we'll see what happens with this new $99 per seat per for the E7 Frontier Suite. That kind of bundles AI, security and governance, and as well as co-pilot cowork. But the biggest setback for Microsoft, it is the learning permissions and governance curve. It is way higher than the other three. that's because, well, it's there by default. So it is, it's kind of like a running joke that Microsoft co-pilot could be the best AI out there.

If anyone could figure out how to use it. I do know that that's something Microsoft is tackling. We've seen reports that their CEO, Sadie Nandela, is essentially, you know, putting in some work as a product manager on co-pilot, which is very rare for the CEO of a multi-trillion dollar market cat company to, start working on product, but that's what we've seen. So I am actually rather bullish, long term on Microsoft copilot for that very reason, right? When you have the CEO rolling up their sleeves to say, hey, this isn't working, we've got to change this. I think that's the way to go.

All right. And then last but not least, Google, the most powerful multimodal AI ecosystem on Earth. So like we said, 750 million monthly Gemini users with 8 million. of those reportedly paid seats and huge year-over-year growth. And they are the only major provider with native video input, which is big. People still aren't using this. And it's such a cheat code alongside text image and audio handling. And there's deep integration literally everywhere.

So across search, Android, Chrome, YouTube, drive, docs, sheet. Right. So if you are a Gemina, sorry, a Google workspace organization, well, it's gotten a lot better. again early you know mid 2024 when you started to see you know Gemini roll out in beta across workspace it wasn't good there's actually some instances where it was downright bad right i remember doing a couple videos on our youtube channel just feeling like yo this doesn't work now it's the best right an update they actually had this week so in march 2026 right uh like certain benchmarks like you know, spreadsheet editing.

Now they're the best. But it is all over the place. So again, kind of a good and bad thing. But you have your Gemini, there's a different version of Gemini for business and enterprise, notebook L.M, Gemini and Vertex, AI Studio. It's everywhere. But one of the newer things is the new workspace overhaul. So this fills, you know, it puts Gemini in everywhere in Gmail, in drive, in docs, right?

So you can essentially talk to Gemini. now anywhere inside Google Workspace, where as before, it wasn't quite as easy. So now it can just synthesize and understand your files, emails from anywhere. So you can essentially leverage and tap into your entire Google Workspace ecosystem, no matter where you are within Workspace.

And now Google Drive is also being kind of repositioned as like a rag database, right? It's an active, citable AI knowledge base across your entire history inside Google workspace. Now shifting away a little bit here, I think what we have to pay attention to is the agent coding war. I think that is maybe where this thing starts to get decided. Because coding is the first use case where AI created a concretely measurable ROI at

enterprise scale. And gains in coding and computer use, I think, do spill over into non-technical applications in large language models because, I mean, we've heard from both Anthropic. We've heard now from Open AI as well that their models are writing their future models, right, which is also kind of scary, right? We have this self-learning and recursive AI that's writing itself, right? But once that happens, that means that then those, yeah, I know this sounds weird, but then those models can write hundreds or thousands of specialized models that are then just

better at all these other tasks, maybe on the non-technical side. So you do have to pay attention to the agent race and the computer use race because those are things that are ultimately going to impact the non-technical everyday business work that most knowledge workers are doing. I'd say right now, Claude Code is leading in adoption and it's trending. But Codex, I think, is probably the highest on the market. Along with the new GPD-5-4 models inside Codex, I do think it's, yes, it's way slower. but my personal opinion of burning billions of tokens in Codex and in Claude Code,

I'm maxed out on all those. I am way more bullish and I do think that it has the higher bar right now, Codex does. And then obviously you have Microsoft GitHub co-pilot that is kind of like one of the OGs when it comes to, you know, AI coding assistance. And Google, again, both great and confusing. Google's kind of all over the place here. They have everything from Firebase to jewels to codicists, to the Gemini CLI to anti-gravity. Right.

So Gemini, obviously on the coding side, has a lot of offering. But I do think the coding winner could set the template for every agented category that follows. And also the infrastructure side, right? You have to see where these companies are investing on CAPEX. So Open AI reportedly, yeah, $110 billion. funding round targeting 600 billion in total compute spend through 2030. Yeah, they're saying we're spending a ton of money on compute. And that's one of the reasons they're saying they're not going to be profitable,

you know, or not as profitable as quickly as maybe some of their other competitors. Google spending up to $185 billion in CAPEX, Microsoft 37 billion in quarter for 2025 alone. Anthropic has launched a massive $50 billion investment initiative to, own and construct their own AI data centers in the U.S. So that's technically kind of separate, right? But the faster that these companies can get up these CAPEX, you know, AI data centers, right, that's going to help them get ahead in the kind of the day-to-day in the week-to-week AI race. All right.

So as we wrap here, how do you navigate this? All right, I gave you a very quick, I know it's 37 minutes in here. I gave you a very quick recap. of where we've been over the last three years and the pros and the cons of where these big four companies are. And yeah, it's the big four companies. Maybe meta will reenter the discussion. Perplexity is not really its own model maker, right?

Because I'm sure people are going to be like, oh, what about, you know, Amazon, AWS, right? They're second tier right now. That could change, right? But right now it is essentially the three frontier AI providers and Microsoft that leverages both of them and Microsoft making their own models. But for the most part, stop buying one vendor for everything. You know, leadership changes by workload and by the quarter. Even if you have a great workflow right now with one of the big four,

you need to be working on your 1B plan because I can't say this enough. Oftentimes these companies are going to change something in their big model. And they might not even announce it. It might not even be a decimal point change. It just might be an under the hood change. And things could go off the rails. for your company. You always need to be building modularly. You need to redesign processes for agents first that take action, not just chatbots waiting to be asked. So that's a big kind of

change management piece for enterprise leaders out there. And you need to match the platform to the problem. Right. So as an example, maybe right now it's open AI for breadth, Claude for depth, Google for scale, Microsoft for governance, whatever it is. There's no problem in having, you know, two different. Although I do think it is best to move as many. of your day-to-day knowledge work processes into an AI operating system. But I think for specialized tasks and for certain departments, I think it's okay to have a secondary, you know, tool or a secondary company. So let's end it here.

Who's going to win the AI race? All right. I'm going to break it down because like I said, there is no one race. It's many different races. But I think there's a couple. There's three big races, I think that are being run. Consumer, enterprise, and models. Consumer, open AI.

No one else is going to touch them. Google is starting to close the gap. Open AI is so far ahead. I don't see them losing that lead anytime soon. Enterprise, I do think as strange as this sounds, this has always been Microsoft's battle to lose. And I think that from 2023 to 2025, they were losing. So I think right now it's Microsoft versus Open AI.

I do think Google is trending. Google has a fantastic, Gemini for business and Gemini for Enterprise product, but I don't think anyone knows about it, right? People think it's just the gemini.com. No, that's the consumer version. I think Google could start to dominate in that category, you know, at least when you talk about non-technical front-end users,

right? Obviously they have everything on the vertex side, the AI studio. But yeah, Anthropic, not in the picture. Sorry, they're not in enterprise player when it comes to enterprise, total enterprise users. All right. And then model capabilities, that's a toss up, right? Obviously, anthropics models, top tier, top of the class, open AIs, new releases, you

know, in certain areas, great benchmarks as well. And then Google, I think I've said it before, Google at any time, because of the mass training data that they have, I think anytime they can come out with a new Gemini 3-2, Gemini 3-3, and be the best model. in the world. So I don't think, although we always are watching that race, the model race, I think it's the least important of all three because it's becoming more and more important, the harnessing, the tool use. And like I said, it's not about who has the best model. It's about who helps you bring your data and all of your day-to-day workflows agentically

into the picture. That's what it's ultimately about. All right. I hope this one was helpful as we went over the state of the AI race. Again, this is part of our Start Here series. So whether you are brand new to AI or you just want to double down on your knowledge, please go to starthereSeries.com and go sign up and go listen to the entire series there. So thank you for tuning in. Hope to see you back tomorrow and Everyday. For more Everyday AI. Thanks y'all. And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going. For a little more AI magic, visit Your EverydayAI.com and sign up to our daily newsletter so you don't get left behind.

Go break some barriers and we'll see you next time.