Democratized superintelligence is coming: The world needs to get ready
Sep 24, 2026 · 24 min · 9 segments
**What happens when AI agents** can reason through problems well enough to complete real work on their own? This episode of…
Sep 24, 2026 · 24 min · 9 segments
**What happens when AI agents** can reason through problems well enough to complete real work on their own? This episode of…
Bret TaylorGuest
Eric KutcherHost
Lucia RahillyHostRoberta FusaroHost
Well, first I'll say I think this, there's a lot of this which is truly unprecedented given the capabilities of the models.
But I would say historically, there-- when we introduce ne- new technologies, there's often this period where our security protocols haven't caught up to the capabilities.
So I just wanna start by saying, you know, this idea we invented technology and we're sort of grappling with the technical ramifications is normal.
The, the hard part now is if you look at the adoption curves of technology, I love those graphs which show like electricity and refrigeration and all these things, and like AI just looks like a vert-
So unfortunately, both the models are, you know, approaching super intelligence, and we've connected all of our infrastructure.
So I would just say the blast radius is just much, much broader than it is, uh, with those.
I don't mean to draw too many analogies, but I also think that I believe in the good guys.
And so, you know, I think right now these models are very good at, um, code, and as a consequence, they're very good at finding vulnerabilities, both when they have access to code or even doing, uh, you know, uh, more black box, uh, style hacking.
Um, I think what makes them good at that also can make them good for offensive security, both finding and patching vulnerabilities and, and over time, active monitoring, um, as well.
And so I, I would just say I think the, the reason we're in a risky period right now is there's not off-the-shelf solutions to solve a lot of the active monitoring and patching.
So, um, I've talked to a lot of, uh, CISOs and CTOs who are in this position where they have, you know, cut into these agents and models that identify, you know, thousands of vulnerabilities.
What do they do with it? You know, they try to patch them all, they'll break all the systems.
[laughs] And so they're in this position like, do you want the system to be running or do you want it to be patched? You know, 'cause right now that's the option.
The one thing, the one thing you didn't talk about is large enterprises have more resource to be able to fix these things.
One of the real risks here is you have an awful lot of small and medium businesses that frankly are still running technology that is quite dated and quite exposed, and so we actually have potentially, um, sort of asymmetric risk depending on where you sit.
It's the same, you know, local hospital clinic that was targeted with ransomware attacks and stuff too.
It's like the same cohort of, uh, I'd say important, but you know, from an IT standpoint, you know, vulnerable-
Well, first I'll say I think this, there's a lot of this which is truly unprecedented given the capabilities of the models.
But I would say historically, there-- when we introduce ne- new technologies, there's often this period where our security protocols haven't caught up to the capabilities.
So I just wanna start by saying, you know, this idea we invented technology and we're sort of grappling with the technical ramifications is normal.
The, the hard part now is if you look at the adoption curves of technology, I love those graphs which show like electricity and refrigeration and all these things, and like AI just looks like a vert-
So unfortunately, both the models are, you know, approaching super intelligence, and we've connected all of our infrastructure.
So I would just say the blast radius is just much, much broader than it is, uh, with those.
I don't mean to draw too many analogies, but I also think that I believe in the good guys.
And so, you know, I think right now these models are very good at, um, code, and as a consequence, they're very good at finding vulnerabilities, both when they have access to code or even doing, uh, you know, uh, more black box, uh, style hacking.
Um, I think what makes them good at that also can make them good for offensive security, both finding and patching vulnerabilities and, and over time, active monitoring, um, as well.
And so I, I would just say I think the, the reason we're in a risky period right now is there's not off-the-shelf solutions to solve a lot of the active monitoring and patching.
So, um, I've talked to a lot of, uh, CISOs and CTOs who are in this position where they have, you know, cut into these agents and models that identify, you know, thousands of vulnerabilities.
What do they do with it? You know, they try to patch them all, they'll break all the systems.
[laughs] And so they're in this position like, do you want the system to be running or do you want it to be patched? You know, 'cause right now that's the option.
The one thing, the one thing you didn't talk about is large enterprises have more resource to be able to fix these things.
One of the real risks here is you have an awful lot of small and medium businesses that frankly are still running technology that is quite dated and quite exposed, and so we actually have potentially, um, sort of asymmetric risk depending on where you sit.
It's the same, you know, local hospital clinic that was targeted with ransomware attacks and stuff too.
It's like the same cohort of, uh, I'd say important, but you know, from an IT standpoint, you know, vulnerable-
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