AI App Crisis, OpenAI Does Math, Big Nvidia Deal

Summary

In this episode, we explore the challenges AI-powered apps face with long-term user retention, analyze ChatGPT's new interactive visual explanations for math and science, and discuss Thinking Machine Labs' massive computing deal with Nvidia.Chapters00:00 Introduction & Birthday Shoutout01:36 AI App Retention Struggles12:04 ChatGPT's Interactive Visuals14:…

Key takeaways

• AI-powered apps monetize faster but retain users significantly less—only 21% retention after 12 months versus 30.7% for non-AI apps—largely due to overpromising and underdelivering on capabilities.
• ChatGPT launched interactive, manipulable visual explanations covering 70+ math and science concepts, signaling a shift from passive AI answers to active, education-focused engagement tools.
• Thinking Machines Lab secured a multi-year, 1-gigawatt compute deal with Nvidia (plus a strategic Nvidia investment), reflecting an industry-wide arms race for AI infrastructure ahead of anticipated $3–4 trillion in sector spending by decade's end.

Why this matters

For B2B product and growth leaders, the Revenue Cat data makes clear that AI feature adoption alone does not drive sustainable revenue—durable retention requires delivering on core product promises from day one, while the infrastructure deals between Nvidia and well-capitalized AI labs signal where competitive moats are being built for the next wave of enterprise AI services.

Entities

Show notes

In this episode, we explore the challenges AI-powered apps face with long-term user retention, analyze ChatGPT's new interactive visual explanations for math and science, and discuss Thinking Machine Labs' massive computing deal with Nvidia.Chapters00:00 Introduction & Birthday Shoutout01:36 AI App Retention Struggles12:04 ChatGPT's Interactive Visuals14:21 Thinking Machine Labs x Nvidia Deal16:49 Industry Trends and Future LinksGet the top 40+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiAI

Themes

• openai