Episode Player
#93 The Most Misunderstood AI Statistic of the Year: Lessons from Tech Expo on Hype, Failure, and Innovation
DataTopics: All Things Data, AI & Tech
Chapters
0:00
Welcome And Tim’s New Role
3:20
What The Tech Expo Covered
7:25
Two Currents: Hype vs. Real-World AI
14:10
The MIT Study And Misread Metrics
22:10
Reddit’s ML For Community Safety
32:40
Cost, Filters, And Fine-Tuning Tradeoffs
39:20
PepsiCo: Replacing Reports With AI Consoles
48:00
Text-To-SQL Limits And Governance
55:40
When AI Interfaces Beat BI Dashboards
DataTopics: All Things Data, AI & Tech
#93 The Most Misunderstood AI Statistic of the Year: Lessons from Tech Expo on Hype, Failure, and Innovation
Dec 19, 2025
DataTopics
In our final episode of 2025, we sit down with Tim Van Erum to unpack what really stood out at Tech Expo Amsterdam.
Together we revisit the most misunderstood AI statistic of the year, exploring why the “95% of AI projects fail” headline is misleading and how hype versus reality played out across the conference. Tim shares why failure and experimentation are not setbacks but essential drivers of innovation, and we highlight Reddit’s Scaling Safety strategy as a powerful example of machine learning in action.
This candid conversation closes out the year with lessons on what AI truly delivered in 2025.
