BG2Pod with Brad Gerstner and Bill Gurley

Can AI revenues justify the spending? Jensen Huang breaks down the biggest bottlenecks heading into 2027, the path to the singularity, open vs. closed models, and why he’s 99.99% optimistic about the decade ahead.
Jensen joins Brad Gerstner and Clark Tang for their third BG2 conversation, recorded days after the Xi State Dinner, the White House Accord on superintelligence, and his receipt of the National Medal of Science. They explore why building technology responsibly also means moving fast, how power constraints could shape AI’s next phase, and whether SpaceX could help put data centers in orbit. Jensen also explains why NVIDIA sees demand extending far beyond just two AI labs.
  
Produced by STMNT Studios
Music by Yung Spielberg
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The statements made and information presented in this podcast reflect each speaker's personal opinions and do not necessarily reflect the view of any other person or entity, including Altimeter Capital Management, LP ("Altimeter"). The information provided is believed to be from reliable sources, but no liability is accepted for any inaccuracies. This podcast is for informational purposes only, and statements should not be construed as providing investment advice or making an investment recommendation. Past performance does not guarantee future performance. Certain of Altimeter's funds have invested in the referenced portfolio companies, which may incentivize executives of such companies to provide favorable reviews of Altimeter. Altimeter and its respective clients trade in public securities and have made and/or may make investments in or investment decisions relating to the companies referenced in the podcast. Altimeter and its respective clients reserve the right to make investment decisions or engage in trading activity that would be (or could be construed as) consistent and/or inconsistent with the views expressed herein.

Brad Gerstner sits down with Gavin Baker and Andrew Fox of Atreides Management, alongside Altimeter partner Clark Tang, to break down one of the biggest questions in tech and markets: how should investors think about the SpaceX IPO?
They unpack the major levers behind SpaceX’s next phase: Starship rapid reusability, Starlink broadband and direct-to-cell, Elon’s emerging AI compute business, xAI’s model ambitions, the Cursor acquisition, and the long-term promise of orbital data centers.
The group also debates whether SpaceX is becoming a new kind of AI hyperscaler — “Elon Web Services” — and what that means for the future of compute, cloud, and frontier intelligence.
Then they dive into the latest model race: Fable 5, Mythos, ChatGPT 5.5, long-running agents, open source vs. frontier models, Nvidia vs. ASICs, the AI CapEx boom, and why the market may still be underestimating the scale of AI demand. Enjoy another episode of BG2!

Timestamps:
(00:40) Intro — SpaceX IPO in Two Days, Mythos Launches, Taiwan Takeaways
(03:05) xAI's Google & Anthropic Deals: Highest Operating Profit Per Gigawatt
(13:28) "Elon Web Services" — Nobody Had AI Compute in the SpaceX Model
(19:08) Data Centers Are Not Commodities: First-Principles Design
(26:01) Orbital Compute Economics: $5B Per Gigawatt in Space vs. $25B on the Ground
(29:25) The Most Underrated Variable: What Cursor Does for xAI's Model
(35:05) Bull & Bear Case — Can SpaceX Really 8X Revenue in 4 Years?
(37:00) Post-IPO Drawdowns, Lock-Ups & How to Size the Position
(43:56) Fable 5, Mythos & Why Snapshot Benchmarks Are Broken
(51:00) Frontier vs. Open Source: 90% of Revenue Accrues at the Frontier
(01:04:11) $1.5T in CapEx vs. $300B in AI Revenue — Does the Math Math?
(01:18:13) The Next $1 Trillion: Three Companies, Half the Time

Produced by Edward Schmidt & Dan Shevchuk
Music by Yung Spielberg
Available on Apple, Spotify, www.bg2pod.com
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In this BG2 guest interview, Altimeter Partner Apoorv Agrawal sits down with Nick Turley of OpenAI for a deep dive into how ChatGPT became one of the fastest-growing products in history—and what comes next.
They discuss how OpenAI thinks about retention and product metrics, why long-term engagement matters more than raw growth, and how ChatGPT gets the next billion users. The conversation explores the future of AI assistants: moving beyond chat into proactive agents that can take actions, complete long-horizon tasks, and integrate deeply into users’ daily lives.
Nick also shares how OpenAI balances product improvements with breakthrough research, how GPU constraints shape product decisions, and why building for both power users and everyday consumers is essential to discovering new use cases. The episode covers the evolution of ChatGPT pricing, the role of partnerships and distribution, and how OpenAI is thinking about scaling access to AI globally.
A must-watch discussion for builders, operators, and investors trying to understand the next phase of AI—from chatbots to true “super assistants.”

Timestamps:

(00:00) Intro
(01:00) Nick Turley’s Journey to OpenAI
(02:15) ChatGPT’s North Star: Long-Term Retention
(04:15) Why ChatGPT’s Retention Curve “Smiles”
(06:45) What Drove ChatGPT’s Consumer Breakout
(10:15) How OpenAI Gets the Next Billion Users
(14:15) When ChatGPT Starts Taking Actions
(18:15) Why Coding Agents Came First
(21:00) Beyond Chatbots: The Super Assistant Vision
(24:00) Power Users vs. Casual Users
(28:00) Why ChatGPT Pricing Has to Change
(33:45) Partnerships, Distribution, and Product Tradeoffs
(37:15) GPUs, Scarcity, and the Cost of Scaling AI
(41:30) Shopping, ChatGPT as a Thought Partner, and Code Red
(51:45) OpenAI’s Future Interface, Rapid Fire, AI Jobs, and Nick’s AGI Moments

Produced by Dan Shevchuk
Music by Yung Spielberg
Available on Apple, Spotify, ⁠www.bg2pod.com⁠

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In this BG2 guest interview, Altimeter partner Apoorv Agrawal sits down with Ali Ghodsi (Databricks) and Arvind Jain (Glean) for a candid, operator-level discussion on what’s actually working in enterprise AI—and what isn’t.
They unpack why 95% of AI projects fail, why LLMs are rapidly commoditizing, and why durable advantage is shifting to proprietary data, agentic systems, and workflow integration. The conversation dives deep into real-world use cases across finance, healthcare, and retail; the debate over whether we already have AGI; and how AI spend, CapEx, and valuation bubbles will realistically play out. A must-watch for builder, and investors navigating the AI transition inside real organizations.

Timestamps:
(00:00) Intro
(01:00) Consumer AI vs. Enterprise Reality
(02:15) Why 95% of AI Projects Fail
(04:15) RBC, Merck, and 7-Eleven Use Cases
(06:45) What Actually Makes AI Work
(07:00) LLMs Are Commodities—Data Is the Moat
(08:45) Failed AI Bets at Databricks & Glean
(11:00) RPA vs. Generative AI
(14:15) Advice for CIOs Planning AI Budgets
(16:00) AI CapEx and the Revenue Math
(18:00) The Three Camps of AI
(21:00) Making AI Useful Inside Enterprises
(24:30) Why Apps Capture the Value
(30:00) The Future of UI, Voice, and Data Entry
(37:30) Rapid Fire: Winners, Bubbles, Long/Short

Produced by Dan Shevchuk
Music by Yung Spielberg
Available on Apple, Spotify, www.bg2pod.com

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Brad Gerstner sits down with Satya Nadella (Microsoft) and Sam Altman (OpenAI) to unpack the $3 trillion AI buildout transforming technology, business, and the global economy. They dive deep into the OpenAI–Microsoft partnership, how it unlocked massive scale in the cloud, and what it reveals about the future of intelligence and capital.Nadella breaks down how Microsoft is expanding Azure and Copilot to meet explosive demand. Altman shares his view on progress, power, and the human drive to push boundaries. A candid, energizing conversation about building the future at scale. Enjoy another episode of BG2!

(00:00) Intro
(02:28) Microsoft’s Investment in OpenAI
(03:19) The Nonprofit Structure and Its Impact
(05:46) Health, AI Security, and Resilience
(07:50) Models, Exclusivity, and Distribution
(08:58) Revenue Sharing and AGI Milestones
(11:38) OpenAI’s Growth and Compute Commitments
(15:21) Compute Constraints and Scaling
(21:27) The Future of AI Devices and Consumer Use
(24:31) Regulation and the Patchwork Problem
(28:01) Looking Ahead to 2026 and Beyond
(37:10) Microsoft’s Strategic Value from OpenAI
(57:15) The Economics of AI and SaaS
(1:04:28) Productivity, Jobs, and the Age of AI
(1:10:43) Reindustrialization of America

Produced by Dan ShevchukMusic by Yung Spielberg
Available on Apple, Spotify, www.bg2pod.com
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