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PredictionVideo · 52:18 — 53:48

Agents are currently mostly limited to read-only access, but will soon graduate to write and delete permissions, taking on the kind of work humans currently do.

Looking ahead, Dev Rishi predicts agents will move beyond today's read-only mode into write and delete access as they take on more human-equivalent work, alongside rising inference spend and a wave of high-profile mistakes. ✦ AI generated

Dev Rishi · The TWIML AI Podcast · 2026-06-16 · original ↗

starts at this moment · 52:18

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So, given that the space is moving very quickly, where do you see it all going? What's what's next? What's coming?

I think right now a lot of agents are still stuck in read mode. I think that's going to change. I think agents are going to graduate from read mode and go on to write, delete all the card applications because I think they're essentially going to be doing the types of work that humans are doing.

verbatim transcript · starts at 52:18

Transcript · around this moment

52:00the bet, there was a part of me that was nervous and I used to hedge the answer a little bit more and say like you're really going to want both. You're going to want non-deterministic and deterministic. >> [clears throat] >> I do see the world increasingly now just moving to AI systems that are running these processes more end-to-end. And so I think where the world is headed is I

52:18think right now a lot of agents are still stuck in read mode. I think that's going to change. I think agents are going to graduate from read mode and go on to write, delete all the card applications because I think they're essentially going to be doing the types of work that humans are doing. I think token and inference spend is going to continue to scale up very, very

52:34quickly. I think we are going to see a series of large-scale I don't know how we want to call them mistakes, incidences. I think agents are going to like think that we're going to see a mass amount of productivity and I think we're also going to see some inadvertent incidences where things have gone wrong. And I think that what we're going to end up centralizing on is that there isn't

52:56another good way to be able to solve this problem. The rules in the human loop will still keep for certain applications because they also help us feel good and because they're necessary for some applications. But I think what we're really going to go center on is like we want these workflows to become increasingly AI first. And that we're going to use the same type of technology that's introducing

53:14the risk to also be a part of that solution. So the world's moving very quickly. I think agent harnesses have like absolutely exploded earlier this year. I anticipate that to continue. I anticipate coding to be a still dominant use case through this year. But by the end of the year, I anticipate the same thing we're seeing for coding is going to be happening for many other types of

53:31um um you know, sophisticated knowledge work. And I think we're going to start to see the same type of requests that we need now monitoring coding agents starting to extend across the agent stack. And I can't see another way to do it without being AI in the loop. >> Yeah, it's it's it's interesting when I think about that. I tend to agree. I wonder about like of the tools that I

53:52use, you know, for example, like the you know, G-Suite stuff. Um does it have an ability to do snapshot? Like can you hook in for that third pillar of yours? Like do you have a way to say, "Hey, this agent just blasted this user's calendar. Can you restore it for me?" >> So, uh you know, I do think that a large part of like Google Workspace uh

54:16Workspace is something that Rubrik does have integrations to be able to back up and so >> Yeah, it is a big >> is tying over to the like traditional core product of >> core business. >> Yeah. >> Exactly. Um so yeah, to the instances I I think there must be some instances where we don't back up, but certainly like a large chunk of like important like where important information is is

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