Episode Summary
Executive Summary: The episode argues Google is emerging as the strongest overall AI platform thanks to Gemini’s integration into Siri and Google’s new “personal intelligence” feature, even as questions remain about Apple’s execution and Google’s ad future. It also covers turbulence at Thinking Machines Lab amid staff departures, and Anthropic’s launch of Claude Cowork as evidence that agentic AI for non-coders is becoming a major workplace trend.
Main Topics: Google’s AI lead and the Apple/Siri partnership: The hosts argue Google now has the best combination of model quality, compute, distribution, and user data, and that Apple choosing Gemini for Siri is a major market signal. They debate whether this partnership cements Google’s lead in consumer AI. Personal intelligence and user-data flywheels: Google’s opt-in personal intelligence feature, which lets Gemini use Gmail, YouTube, Search, Photos, and other data, is framed as a huge product advantage and a potential new data flywheel that could make Gemini more useful—and more attractive to advertisers. AI business models and advertising: The discussion contrasts Google’s historical ad dominance with the still-unsolved problem of LLM-native advertising. One host argues OpenAI may figure out AI ads first, while the other contends Google’s ad expertise and scale make it the natural winner. Thinking Machines Lab turmoil: The segment highlights reporting that OpenAI has rehired former Thinking Machines founders, more employees may leave, and the company may be struggling to define a product and business strategy. The hosts interpret this as a sign that the ‘vibe funding’ era may be collapsing. Claude Cowork and agentic AI for non-coders: Anthropic’s new Claude Cowork is presented as a natural-language agent for non-technical users that can organize files, generate reports, search the web, and manage email. The hosts see it as a concrete step toward autonomous knowledge work. Bottom-up AI adoption in the workplace: The episode argues AI adoption is shifting from top-down enterprise rollouts to individual power users who build workflows on their own and then spread them within organizations. This may create a new class of AI-native workers and culture clashes inside companies.
Key Arguments: Google appears best positioned in AI because it combines a top-tier model, vast capital, existing products with huge user bases, and access to deeply personal data. Apple’s decision to use Gemini in Siri is a powerful validation of Google’s AI and could make Siri one of the largest access points for Gemini. Google’s new personal intelligence feature could strengthen product quality by using account-wide context, but it also creates new advertising potential because it mirrors the kind of user understanding advertisers value. There is disagreement over whether Google or OpenAI will first crack LLM-based advertising; one side favors Google’s ad history, the other argues Google’s ad system has been degrading and Meta/OpenAI may adapt faster. Thinking Machines Lab’s reported departures suggest that elite ex-OpenAI startups may not be able to sustain momentum without a clear product or business model. Claude Cowork exemplifies the move from chatbots to autonomous workflows for non-technical users, extending the lessons of Claude Code beyond programmers. AI adoption will likely spread from individuals upward, not from executives downward, because curious employees can experiment faster than organizations can standardize. The most valuable near-term AI use cases are not abstract AGI claims but practical workflow automation that saves time and improves individual output.
Data Points: Google payment to Apple for search placement: about $20 billion per year - Mentioned to contrast the old search deal with Apple now getting paid to use Google Gemini in Siri. Google ad business growth: 15% growth on a base of $60 billion - Cited to push back on the claim that Google’s advertising business is failing. Thinking Machines Lab fundraising: $2 billion - Used to illustrate the scale of the startup’s funding despite lacking a clear product or business plan. Thinking Machines Lab valuation: $12 billion - Part of the discussion about unusually large early-stage funding rounds in AI. Claude Cowork build time: about a week and a half - Anthropic reportedly built the non-coder agent quickly, which the hosts used to discuss how rough the launch might be versus the significance of the concept. Apple rollout timing: some features this spring; more at WWDC in June - The Information reporting on when Siri improvements and memory/proactive features are expected. Google Gemini product signal: billions of Apple users - The hosts emphasized that Siri could become one of the largest distribution channels for Gemini.
Pivotal Quotes: "“Gemini is winning.”" — David Pierce / discussed by hosts: The Verge headline used to frame the argument that Google is now in the lead in AI. "“Google no longer has to ask you to give it lots of context… Google already knows a scary amount about you, and now Gemini does too.”" — David Pierce (quoted by host): Used to describe Google’s personal intelligence feature and why it matters for product quality and data flywheels. "“The true companion was never ChatGPT. It was Wi-Fi.”" — Ranjan Roy: A comedic exchange after a failed email-history lookup, illustrating the limits and absurdities of current AI assistants.
Implications: Google’s AI advantage may deepen through distribution and personal context, but execution still matters. Meanwhile, AI value is shifting toward practical agentic tools and individual power users, while companies without clear products may struggle to survive.
From the Episode
We have to look at it in terms of the context of the bigger AI race and just how meaningful it is that Apple has selected Google and put Google's LLM into Siri and what that means for Google itself and what it will do. So, David Pierce from The Verge has a great article about this. And the headline is simple: Gemini is winning. And I basically decided to take that headline and make it the first segment of our story because of our show today, because the story really is. I think probably the best articulated version of the fact that Google is in the poll position here in the AI race. So here's what Pierce writes, and we're going to get to Siri in a minute because it builds on this. If you want to win an AI, you have to do a bunch of hard things simultaneously. He says you need to have a model that is unquestionably one of the best on the market. You need the nearly infinite resources required to continue to improve that model and deploy it at massive scale. You need at least one AI-based project.
Every time you ask it a question, Gemini can now answer it by looking at your recent searches, the videos you watch on YouTube, your emails, your photos, your files, and more. You really can't overstate how big of a deal this is. Google no longer has to ask you to give it lots of context, hope you provide excellent and detailed prompts every time, or build out complicated custom instruction systems. Google already knows a scary amount about you, and now Gemini does too. And you know, I initially looked at At this, from a product standpoint, about how, oh, this will be actually a great product to use. And I think it will. But given the direction that our discussion has gone today, you know who would also like to know a scary amount about you? Advertisers. I think, okay, so personal intelligence. I saw some like very nice, flashy-looking demos, and we've talked about this for a long time that Google does, Google should own this, Google should just like destroy.
Unfortunately, geared to typing Wi-Fi versus wife. I need to go to therapy for this. But here's my answer. The true companion was never ChatGPT. It was Wi-Fi. It was Time Warner Inspector. I am a simple man. That's all I need. Did it get it right? No, it said it got my wife's name right, but it says I can't definitely confirm the single first email in your entire history. And then it gave me a query to run, which is interesting. Yeah, which is Boolean search. I'm just going to answer. Listen, I think this is one of the main limitations of AI, and we spoke about it a little bit last week. It's that the context window runs out, and it can run out fairly quickly. I mean, think about how many characters you have in your Gmail. The technology today cannot put all that in the context window. So, what we see is that there's now some shortcuts.
About Big Technology Podcast
The Big Technology Podcast takes you behind the scenes in the tech world featuring interviews with plugged-in insiders and outside agitators. Alex Kantrowitz, a Silicon Valley journalist who's interviewed the world's top tech CEOs — from Mark Zuckerberg to Larry Ellison — is the host.