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Google: The AI Company. Google is amazingly well-positioned... will they win in AI? (audio)

Google faces the greatest innovator's dilemma in history. They invented the Transformer — the breakthrough technology powering every modern AI system from ChatGPT to Claude (and, of course, Gemini). They employed nearly all the top AI talent: Ilya Sutskever, Geoff Hinton, Demis Hassabis, Dario Amodei — more or less everyone who leads modern AI worked at Google circa 2014. They built the best dedicated AI infrastructure (TPUs!) and deployed AI at massive scale years before anyone else. And yet... the launch of ChatGPT in November 2022 caught them completely flat-footed. How on earth did the greatest business in history wind up playing catch-up to a nonprofit-turned-startup? Today we tell the complete story of Google's 20+ year AI journey: from their first tiny language model in 2001 through the creation Google Brain, the birth of the transformer, the talent exodus to OpenAI (sparked by Elon Musk's fury over Google’s DeepMind acquisition), and their current all-hands-on-deck response with Gemini. And oh yeah — a little business called Waymo that went from crazy moonshot idea to doing more rides than Lyft in San Francisco, potentially building another Google-sized business within Google. This is the story of how the world's greatest business faces its greatest test: can they disrupt themselves without losing their $140B annual profit-generating machine in Search? Sponsors: Many thanks to our fantastic Fall ‘25 Season partners: J.P. Morgan Payments https://bit.ly/acquiredJPMPgoogle3yt Sentry https://bit.ly/acquiredsentry WorkOS https://bit.ly/workos25 Shopify https://bit.ly/ShopifyACQ25 Acquired’s 10th Anniversary Celebration! - When: October 20th, 4:00 PM PT - Who: All of you! - Where: https://us02web.zoom.us/j/84061500817?pwd=opmlJrbtOAen4YOTGmPlNbrOMLI8oo.1 0:00 The Innovator's Dilemma: Google's AI Challenge 4:36 From PageRank to language models: Google's Early AI Foundations 17:21 Parallelizing Language: Jeff Dean's Google Translate Revolution 24:05 Sebastian Thrun and Geoff Hinton: Laying Google X Foundations 35:10 Unsupervised Learning: Google Brain's Cat Paper Breakthrough 47:05 From AlexNet to DeepMind: The GPU AI Revolution 1:00:02 The DeepMind Acquisition: AlphaGo and AI's New Frontier 1:40:22 Building TPUs: Google's Hardware Bet on AI 1:51:25 "Attention Is All You Need": The Transformer's Impact 2:04:01 Elon's Exit, Microsoft's Entry: OpenAI's New Path 2:15:43 The Chat GPT Shockwave: Google's Code Red Response 2:37:32 Unifying AI: Gemini and the Google DeepMind Merger 2:46:58 From DARPA Challenge to Robotaxis: Waymo's Long Road 3:03:44 Waymo's Billion-Dollar Potential and Google's Financial Power 3:20:26 Google Cloud's Strategic Role in the AI Ecosystem 3:32:31 Bull and Bear Cases on the Future of Google 3:53:10 Navigating the Innovator's Dilemma: Google's AI Strategy 3:54:34 NFL Summit Carveouts, and Outro Links: Sign up for email updates and vote on future episodes! https://www.acquired.fm/email Geoff Hinton’s 2007 Tech Talk at Google https://youtu.be/AyzOUbkUf3M?si=sLQJsEwq-JEOQmIN Our recent ACQ2 episode with Tobi Lutke https://www.acquired.fm/episodes/how-to-live-in-everyone-elses-future-with-shopify-ceo-tobi-lutke Worldly Partners’ Multi-Decade Alphabet Study https://worldlypartners.com/businesshistory In the Plex https://www.amazon.com/Plex-Google-Thinks-Works-Shapes/dp/1416596585 Supremecy https://www.amazon.com/Supremacy-ChatGPT-Race-Change-World/dp/1250337747 Genius Makers https://www.amazon.com/Genius-Makers-Mavericks-Brought-Facebook/dp/1524742678 All episode sources https://docs.google.com/document/d/1B7MSmQDqaTtcxWskoVwN0V5N292So_9lKiArzRUgTFU/edit?usp=sharing Carve Outs: We’re hosting the Super Bowl Innovation Summit! https://bit.ly/SBISFall25 F1: The Movie https://www.imdb.com/title/tt16311594/ Travelpro suitcases https://travelpro.com Glue Guys Podcast https://open.spotify.com/show/18n6FcVMR5J0hSeboeETPc?si=b876358f752a474d Sea of Stars https://seaofstarsgame.co Stepchange Podcast https://open.spotify.com/show/3RHJ129caYkxh2FliqtaBP?si=2bef3a854e084a39 More Acquired: Get email updates and vote on future episodes! https://www.acquired.fm/email Join the Slack http://acquired.fm/slack Subscribe to ACQ2 https://pod.link/acquiredlp Check out the latest swag in the ACQ Merch Store! https://www.acquired.fm/store Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions.

Ben GilberthostDavid Rosenthalhost
Oct 5, 20254h 6mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

Google’s AI roots, breakthroughs, and the innovator’s dilemma today

  1. The episode argues Google is the quintessential Innovator’s Dilemma case: it invented key AI breakthroughs (notably the Transformer) yet risks being disrupted by products built on its own research.
  2. Hosts trace Google’s AI lineage from early probabilistic language models (spelling correction, AdSense targeting) through Google Brain’s “cat paper,” DeepMind’s acquisition and AlphaGo, and Google’s hardware bet with TPUs.
  3. They explain how OpenAI emerged partly as a reaction to Google/DeepMind dominance, then accelerated via Microsoft’s cloud partnership—culminating in the ChatGPT shock that triggered Google’s “code red.”
  4. Today, Google is portrayed as uniquely positioned with a frontier model (Gemini), a hyperscale cloud, and near-NVIDIA-scale AI chips—yet still must solve the core question: can AI be monetized like Search without eroding Search itself?

IDEAS WORTH REMEMBERING

5 ideas

Google’s AI advantage is structural, not just model quality.

They emphasize Google is the only major player with (1) a frontier model, (2) proprietary hyperscale cloud distribution, and (3) large-scale in-house AI chips (TPUs), giving it cost and deployment leverage others must rent.

Many “overnight” Google revenue engines began as language-model research.

Early probabilistic language modeling work (Noam Shazeer/Georges Harik) drove spelling correction and helped power AdSense page understanding—turning research into multi‑billion dollar monetization quickly.

Jeff Dean-style systems engineering repeatedly converts ‘impossible’ AI into shippable products.

Translate went from 12 hours per sentence to ~100ms by parallelization; DistBelief made large distributed training work asynchronously; TPUs shipped from concept to datacenter deployment in ~15 months.

The 2012 ‘cat paper’ marks the start of the modern consumer AI era—via feeds.

Unsupervised deep learning at YouTube enabled content understanding, recommendations, moderation, and monetization; the hosts argue AI has shaped daily life since 2012 through social/video feeds, not since 2022.

DeepMind’s acquisition triggered second-order effects that reshaped the whole industry.

Google buying DeepMind angered Elon, catalyzed the 2015 dinner that helped found OpenAI, and set up Microsoft’s later re-entry into ‘making Google dance’ through OpenAI.

WORDS WORTH SAVING

5 quotes

The entire AI revolution that we are in right now is predicated by the invention of the Transformer out of the Google Brain team in 2017.

— Ben Gilbert

Google is the only company that has both [a frontier model and an AI chip].

— David Rosenthal

We built a system… and… one neuron would get excited by images of cats. It had never been told what a cat was…

— Jeff Dean (quoted)

Solve intelligence and use it to solve everything else.

— DeepMind tagline (discussed by hosts)

I want people to know that we made Google dance.

— Satya Nadella (quoted)

Innovator’s Dilemma applied to Search vs AI answersEarly Google language models (PHIL) and monetization via AdSenseJeff Dean and scaling/parallelism as Google’s hidden superpowerGoogle Brain: DistBelief and the 2012 “cat paper”AlexNet, GPUs, and the DeepMind acquisitionTPUs and TensorFlow as Google’s AI infrastructure moatTransformers, OpenAI/Microsoft, ChatGPT, and Gemini consolidationWaymo’s long arc and autonomous ride-hailing economicsGoogle Cloud’s enterprise pivot under Thomas KurianBull vs bear cases: value capture, distribution, and unit economics

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