BG2Pod with Brad Gerstner and Bill Gurley

AI Enterprise - Databricks & Glean | BG2 Guest Interview

December 23, 2025

AI Summary

5 min read

🎙️ The Voices & The Context

The Format: This interview-style panel with a host moderating two AI industry CEOs dives into the current state of AI adoption, blending high-level strategy with real-world enterprise examples in a pragmatic and optimistic tone.
The Format: An interview with two guests.
The Key Players:
- Ali Ghodsi (Databricks CEO): Legendary builder through internet, mobile, cloud, data, and AI supercycles; shares enterprise AI success stories from finance, healthcare, and retail.
- Arvind Nithrakashyap (Glean CEO): AI enterprise search and automation expert; emphasizes data differentiation and personal AI companions.
- Host (Chandler): Venture investor facilitating sharp questions on hype vs. reality, drawing out alpha insights for CIOs and founders.

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What you'll learn

1 **(00:00) 🎙️ Introduction: Ali Ghodsi (Databricks CEO) and Arvind Nithrakashyap (Glean CEO)**
2 **(01:20) High-Level AI Landscape: Consumer Boom vs. Enterprise Fog**
3 **(02:13) Embracing 95% Failure as Innovation Signal**
4 **(03:17) Real-World Wins: Finance, Healthcare, Retail Examples**
5 **(06:44) Success Patterns: Data Moats Over Commodity LLMs**
6 **(08:24) Failures & Lessons: Fine-Tuning, Internal Agents**
7 **(10:56) AI vs. RPA: Learning Agents Trump Rule-Based Brittleness**

+ Full timestamped outline available in the app

Show Notes

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