Jun 9, 2026 · 35 min · 10 segments
Ryan welcomes Bryan Clark, director of product for Lakebase at Databricks, to discuss what happens when AI agents become the primary creators and users of databases; why agents are “sloppy” about…
Brian ClarkGuestRyan DonovanHostBut there was a stat you, you gave in the, uh, in the pitch where it was like 80% of databases are created by AI agents.
Yeah, I mean, it's a crazy stat when you first see it, and, and actually, like, it, it has jumped from, you know, what was nothing like a, a year or two ago to that and, and even more now.
The thing that we saw, a- and I think the thing I had, uh, I had told you earlier, right, is like we, we learned how agents are so sloppy-
Uh, and so we kind of had nicknamed them as, like, teenagers, right? Because they just, they almost, like, refuse to clean up after themselves.
And it's not even that they refuse it, it's actually that, uh, the d- the, uh, the agents, uh, would have to spend extra time and tokens doing this work.
So, um, most people, if they're doing some kind of vibe coding, you often have, like, a fan-out strategy for agents.
So you, you, you pick 10 agents and say, "Go try and solve this problem, uh, in 10 different ways," and then I'll have-
Uh, and so if you imagine 10 different databases get spun up in isolation, each of these agents-
And, uh, you know, just like a teenager, you could ask them all to clean up their rooms after the fact, but, like-
if that's gonna cost you extra time and extra tokens, uh, that's, that's more money spent, uh, on a thing that you don't actually care about.
But there was a stat you, you gave in the, uh, in the pitch where it was like 80% of databases are created by AI agents.
Yeah, I mean, it's a crazy stat when you first see it, and, and actually, like, it, it has jumped from, you know, what was nothing like a, a year or two ago to that and, and even more now.
The thing that we saw, a- and I think the thing I had, uh, I had told you earlier, right, is like we, we learned how agents are so sloppy-
Uh, and so we kind of had nicknamed them as, like, teenagers, right? Because they just, they almost, like, refuse to clean up after themselves.
And it's not even that they refuse it, it's actually that, uh, the d- the, uh, the agents, uh, would have to spend extra time and tokens doing this work.
So, um, most people, if they're doing some kind of vibe coding, you often have, like, a fan-out strategy for agents.
So you, you, you pick 10 agents and say, "Go try and solve this problem, uh, in 10 different ways," and then I'll have-
Uh, and so if you imagine 10 different databases get spun up in isolation, each of these agents-
And, uh, you know, just like a teenager, you could ask them all to clean up their rooms after the fact, but, like-
if that's gonna cost you extra time and extra tokens, uh, that's, that's more money spent, uh, on a thing that you don't actually care about.
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3 of 7
80% Databases Now AI-Made
Brian shares a startling new adoption figure
AI Agents = Sloppy Teenagers
Brian compares AI to messy teenagers
Gaslighting A Postgres Database
Ryan sums up their filesystem sorcery humorously
+4 more clips · 4 min 39 sec of audio in all
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