AI + a16z

AI, Data Engineering, and the Modern Data Stack

Tristan Handy, Jennifer Li, and Matt Bornstein

Posted June 23, 2025

In this episode of AI + a16z, dbt Labs founder and CEO Tristan Handy sits down with a16z’s Jennifer Li and Matt Bornstein to explore the next chapter of data engineering — from the rise (and plateau) of the modern data stack to the growing role of AI in analytics and data engineering. As they sum up the impact of AI on data workflows: The interesting question here is human-in-the-loop versus human-not-in-the-loop. AI isn’t about replacing analysts — it’s about enabling self-service across the company. But without a human to verify the result, that’s a very scary thing.

Among other specific topics, they also discuss how automation, as well as tooling like SQL compilers, are reshaping how engineers work with data; dbt’s new Fusion Engine and what it means for developer workflows; and what to make of the spate of recent data-industry acquisitions and ambitious product launches.

More About This Podcast

Artificial intelligence is changing everything from art to enterprise IT, and a16z is watching all of it with a close eye. This podcast features discussions with leading AI engineers, founders, and experts, as well as our general partners, about where the technology and industry are heading.

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