ChatGPT – The Super Assistant Era | BG2 Guest Interview
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
Follow:
Apoorv Agrawal @apoorv03 https://x.com/apoorv03
BG2 Pod @bg2pod https://x.com/BG2Pod
AI Enterprise - Databricks & Glean | BG2 Guest Interview
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
Follow:
Apoorv Agrawal @apoorv03 https://x.com/apoorv03
BG2 Pod @bg2pod https://x.com/BG2Pod
Inside OpenAI Enterprise: Forward Deployed Engineering, GPT-5, and More | BG2 Guest Interview
Open Source bi-weekly convo w/ Bill Gurley and Brad Gerstner on all things tech, markets, investing & capitalism. This week, guest host Altimeter’s Apoorv Agrawal explores how OpenAI is reshaping enterprise with Sherwin Wu, Head of Engineering OpenAI Platform, and Olivier Godement, Head of Product OpenAI Platform. From T-Mobile’s AI voice support to Amgen’s drug breakthroughs to Los Alamos’ air-gapped supercomputer—this episode dives into the real world of AI at scale. Enjoy another episode of BG2!
Timestamps:
(00:00) Intro
(01:50) OpenAI’s Enterprise Mission: Beyond ChatGPT
(06:00) Case Study: T-Mobile <> Voice & Support
(11:30) Case Study: Amgen <> Accelerating Drug Development
(13:45) Case Study: Los Alamos National Lab
(17:00) Why 95% of AI Deployments Fail?
(20:30) Physical vs Digital Autonomy: Scaffolding & Infrastructure
(26:00) GPT-5: Release, Benchmarks vs Behavior
(30:00) GPT-5 Feedback: Instruction Following, Hallucinations, Code Quality
(33:00) Multimodality: Text, Voice, and Video
(35:30) Audio: Realtime API vs Stitched Audio
(38:00) Model Customization & Reinforcement Fine-Tuning (RFT)
(43:00) Rapid Fire: Long/Short Picks
(1:03:00) Highlights and Lowlights @ OpenAI
Show Notes:
T-Mobile Partnership: https://www.t-mobile.com/news/business/t-mobile-launches-intentcx-with-openai
Amgen Partnership: https://openai.com/index/gpt-5-amgen/
Los Alamos Partnership: https://www.lanl.gov/media/news/0130-open-ai
MIT AI Report: https://mlq.ai/media/quarterly_decks/v0.1_State_of_AI_in_Business_2025_Report.pdf
Produced by Dan Shevchuk
Music by Yung Spielberg
Available on Apple, Spotify, www.bg2pod.com
Follow:
Brad Gerstner @altcap https://x.com/altcap
Bill Gurley @bgurley https://x.com/bgurley
BG2 Pod @bg2pod https://x.com/BG2Pod
Apoorv Agrawal @apoorv03 https://x.com/apoorv03
Sherwin Wu @sherwinwu https://x.com/sherwinwu
Olivier Godement @oliviergodement https://x.com/oliviergodement
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