BG2Pod with Brad Gerstner and Bill Gurley

AI Enterprise - Databricks & Glean | BG2 Guest Interview

December 23, 2025·45 min
Episode Description from the Publisher

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/ShortProduced by Dan ShevchukMusic by Yung SpielbergAvailable on Apple, Spotify, www.bg2pod.comFollow:Apoorv Agrawal @apoorv03 https://x.com/apoorv03BG2 Pod @bg2pod https://x.com/BG2Pod

AI Summary coming soon

Sign up to get notified when the full AI-powered summary is ready.

Get Free Summaries →

Free forever for up to 3 podcasts. No credit card required.

Listen to This Episode

Get summaries like this every morning.

Free AI-powered recaps of BG2Pod with Brad Gerstner and Bill Gurley and your other favorite podcasts, delivered to your inbox.

Get Free Summaries →

Free forever for up to 3 podcasts. No credit card required.