Everyday AI Podcast – An AI and ChatGPT Podcast - AI Agents in your browser: Work Cheat Code or too Risky?

Episode Date: November 21, 2025

Yeah, agnetic browsers can do your work for you. 💅But..... should they? How do we tip-toe the fine line between the upside productivity of agentic browsers and the potential security nightmares they bring with them? Tune it and let's chat about it. AI Agents in your browser Work Cheat Code or too Risky? An Everyday AI Chat with Jordan Wilson and ABBYY's Maxime VermeirNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTopics Covered in This Episode:Agentic Browsers: Cheat Code vs RiskEnterprise Adoption of Agentic BrowsersAgentic Browser vs ChatGPT/GenAI AgentsAgentic Browser Compliance and Data PrivacyTop Agentic Browser Use Cases for BusinessEnterprise GenAI Integration ChallengesAgentic Browser Effects on Workflow AutomationFuture Risks of Default Agentic BrowsersTimestamps:00:00 "AI Browsers: Cheat Code or Risk?"03:49 "Enterprises Adapting to Agentic Tech"07:54 "Exemptive Browsers: Time Saver?"13:12 "Global Tech Investment Complexity Underestimated"16:23 Agentic Browser: System Access Revolution18:49 "Legal Uncertainty in Data Privacy"21:24 "GenAI Risks and Responsible Use"27:44 "Automating Tasks with Evolving AI"28:43 "Workflow Automation and Risks"Keywords:agentic browsers, agentic browser, AI agents, cheat code or risk, browser automation, browser agents, business productivity automation, OpenAI Atlas, Perplexity Comet, ChatGPT, compliance risks AI, data privacy, enterprise AI adoption, workflow automation, software integration, robotic process automation, repetitive task automation, document processing AI, unstructured data, personal productivity tools, risk and compliance AI, AI ethics, business process optimization, shadow IT, policy management AI, user context awareness, browser access, sensitive information, PII handling, GDPR compliance, downstream effects,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

This is the Everyday AI Show, the Everyday Podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life. Meet Firefly AI Assistant, now live in Adobe Firefly, the All In One Creative AI Studio. Just describe what you want to create and the assistant handles the rest, orchestrating multi-step workflows across Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome. The assistant accelerates execution. The promise of agentic browsers are undeniable.

Like, this thing can go do my work while I just go make myself a coffee or take a break. Yeah, it's amazing. But there's a sometimes hidden downside, right? Because I think we can all probably agree, especially if you're listening to the show, that there's an element of AI browsers being a cheat code. But are they too risky? I mean, as an example, I had both chat GPT's Atlas and Perplexities Comet browser up last night running the exact same task, right? Going through my podcast and helping me plan and edit, cheat code, right?

But what if one of those browsers accidentally starts deleting my shows or I don't know, starts publishing the information that maybe I don't want publish? So that's a topic we're going to be tackling today and just answering the question if AI agents are more cheat code or more risk. So I'm excited for today's conversation. I hope you are too. Welcome to everyday AI. If you're new here, we do this thing every day. It's your daily, unedited, unscripted, live stream podcasts, helping everyday business leaders like you and me make sense of all these AI developments, new features, new features, new browsers, how we can make sense of it to grow our companies and our careers.

If that's what you're trying to do, awesome. It starts here. But to take it to the next level, go to our website, your everyday AI.com. Sign up for the free daily newsletter. We're going to be recapping the highlights from today's conversation as well as giving you all the other AI news. You need to stay ahead. All right.

Let's bring in an expert. You don't have to listen to me, yap about agenic browsers. You've heard me do that enough. So live stream audience, please help me welcome to the show. We have Max Vermeer, the senior director of AI strategy at Abby. Max, thank you so much for George. joining the Everyday AI show. Awesome. Well, thank you so much for having me on.

This is a pleasure. All right. For those that aren't familiar, tell us a little bit about what Abby is, what it is you guys do. Well, we really turn complexity into clarity using purpose-built AI. So we are a technology vendor specifically focused on solving problems around documents, which is one of the things, actually, quite funny enough, I was researching it yesterday, that we've been using documents as humans for both of 5,000 years. And interestingly, we've never used more of them.

So even though we had all of our switches over to digital, there's never been more documents. There's never been more unstructured data. And it's becoming the dark matter of businesses. So that's what we're trying to solve as an organization. And, you know, I'm curious because I'm sure you all are fielding these kind of questions all the time. Is there a big appetite with the companies that you're working with right now? Are people asking, right, like, hey, should we be using agenic browsing?

What's kind of the overall sentiment right now in the enterprise in terms of have a lot already adapted them? Is it still a question mark? Are people staying away? What's it like? I think it's definitely still a big question mark. Simple because enterprises, they're big ships. They don't kind of twist and turn as easily as we people personally can say, well, I'm going to have a play with this new agenting browser from Open AI or the one from perplexity. So they're still digesting in all honesty what the investments that they made a couple years ago in Gen AI, they're still trying to figure out what do we do with Agenic now that it's here and everybody's talking about the promise.

And now there's actually this thing called Agentic browsers, which allows me to use the interface that already have if they're web-based. Because let's be honest, there's still a lot of applications in the enterprise world that are a desktop application that have zero web interface. and they're trying to make sense of thought of it. The interesting thing is, in the enterprise phase, there's always been something called robotic process automation, which basically allows you to manipulate interfaces. So agenetic browsers basically do the same thing, just at a different level in honesty.

So it's a bit of a flashback and also a new technology at the same time. But the interesting bit is all of these, let's be honest, it's all hype cycles that are happening, are getting so short. It's really difficult for enterprises, customers, of ours to navigate all of that. And that's where they're also looking to us as Abby and also to me, for example, to help them, hey, how do they make sense of all of this and what do I actually need?

Because the multitude of technologies that's out there is getting infinite, basically. So that's an interesting time to be in. So let's skip to the end and then we'll work our way back. But to answer the question, are agendasic browsers more business cheat code? more unknown risk. What's the answer to that question, at least right now? So I think in a lot of sectors, there are absolutely unknown risk at the moment.

Again, it comes down to from which lens you're looking at it, whether it's as the business, then is absolutely going to be unknown risk or actually known risk, but no idea how to solve for that problem at the moment. From a personal perspective, personal productivity, well, it's pretty cool what you can do with it and how it can help you do the work that you're supposed to be doing in a faster way.

But it's exactly the same story again when chat GPT, a lot of the other LLM-based tools came out where everybody started seeing, okay, well, I can actually help this increase my personal productivity. Whether that's allowed or not is to be debated because that's the whole compliance area around it that had to be figured out on the organizations. But there we get back to steering the ship and making it altered course is not as easy. And maybe let's, before we get super dorky, because I hope we can here in a minute, but let's bring everyone else up to speed here, right? And if you're a long time listener of the show, like I said, you've already heard me Yap for 10 plus hours about agentic browsers. But maybe Max, can you explain to our audience that just maybe hasn't used it?

Or they're like, wait, what the heck is an agentic browser? Like, what is an agentic browser? How does it work? And what's the big differences maybe versus using chat gpt? versus even maybe using like an agent in a browser versus an agentic browser. Yeah, absolutely. So the beauty of it is that it actually has access to your browser, which means it has access to everything that you would typically do.

It's not working in a silo. So we had, for example, the agent that you already had in chat chepti before, which had its own browser, but it didn't have any really context of who you are, how you use the internet, which sounds that you actually use, or what your logging is, what your actual favorites are, and your history of what you've purchased on Amazon, and to things that it could know about you because it's in your browser. So that's the big difference.

And so one of the use cases that actually I love about it is that if there is repetitive things, I'll give you an example. We have a wonderful procurement system where you have to go through multiple steps to get your expense reports done. I love the exempting browsers because now I can just say, well, here's this little Google folder where it has all of my receipts, use our technology, because it can also make some fancy out, it calls to our services to extract all the data, and then use that to fill it in into this form so I don't have to do it.

So I can just sit back, relax, don't make a coffee, and by the time I get back, my expenses are done. Instead of having to do this myself, lose or waste time on it, or actually have somebody else an admin do that, it's a huge time saver. Question is, is there a guidance? Is there any compliance? Is there any things that I actually should or should not be doing? This is the part that, because it's so new, for a lot of organizations, it's still going to be quite a big question mark about how they will let people leverage it, but what they can actually do to stop it. Because this is, let's be honest, this is also the reason why opening I created it. They were having a lot of pushback on actually accessing websites that did not want to be accessed

by their services because they felt like, well, they could take things that we don't want them to take. So they gave people a browser. So now they're literally just another browser that people can leverage on their own and get access to. So it's, it's an interesting predicament where a lot of people will be finding themselves in. But that's basically in essence, what allows you to do. It takes over what you actually would do in essence yourself. And yeah, we're definitely going to dive in in the latter half of today's conversation on the risk compliance side, right, and ethics. But first, maybe let's talk a little bit more about some of the use cases. And I think back you already brought up one of the biggest benefits, right?

So even chat GPT Atlas as an example, right? It not only has awareness of what you're doing in the actual browser, but it connects to your chat GPT account as well. So it can bring over all of that context. But you already shared one of your example use cases. I'm wondering if maybe you can share some more, you know, and maybe whether it's, you know, internally there at Abbey or, you know, working with, you know, external third parties.

What are some of those more maybe repetitive tasks that are great use cases for agenic browsers? So I think everything in terms of data transfer, right? So a lot of times there are still systems that are not interconnected. They don't have APIs or there's no bandwidth within the IT departments or the COEs to actually set up those connections in between those different systems. Then using an agentic browser to simply have. two tabs open and go like, well, this is your task, take all the data from system A, put it into system B, which oftentimes in a lot of organizations is still the actual existing process.

Somebody takes data from one system to another to actually make the process happen. I think that's a great use case for it, which is very similar again to robotic process automation, which was one of the main use cases we had there. But more on the personal productivity cheat code side, I think also what I've been using it for is when I need to book travel. We have a travel system that allows me to kind of figure out where I need to go. Well, I just, instead of trying to figure out which flights I want, I have a standard prompt that I tell it, well, this is how I want to use it.

This is my favorite airline. This is kind of the price range you have to keep in mind. And if there's flags bubbling up from our travel policy, well, try to figure out a way around it. So I don't have to do the searching. It's these repetitive things that oftentimes you go through, whether that's buying the same shopping list every single week or it's doing the same kind of manipulation of information or knowledge work trying to find something. The benefit of it is you can give it a task and it can

keep going until it actually finds what it's trying to do without you actually having to spend that time and actually can do something that is higher value, which is lovely to see. Yeah. And, you know, this is one thing that I've been thinking about and talking about a lot on the show is it seems like You know, agents, you know, we heard back in 2024. 2024 is the year of the agents. 2025 is the year of the agents and it seems like it keeps pushing back. I've personally been way more bullish on agentic browsers in terms of companies being able to actually start using agentic capabilities. You know, I'm wondering, is this the case or what are you seeing in terms of Gen.

AI implementation. So it's interesting because we've been doing surveys of a lot of industry experts and also just the decision makers on this technology over the last couple of years. 2024, we did a study that talked about, hey, how are you investing into Gen. A.I. And why are you investing into Gen Aon? That actually show that the majority of people that responded to the survey simply said, we've got fear of missing out or fear of looming obsolescence.

You know, we feel we're going to be out of the market. if we don't jump onto this, because that was the general feeling that everybody had. If I could have a couple of dollars for every single time, this technology is now dead because we have large language models, I would be sitting a large heap of cash. That is just a fact. Everything suddenly went through this hype cycle of,

well, this is no longer necessary because we can use this for it. It was very much seen as a silver bullet. And interestingly, we followed up that survey, because it was about 60% of decision makers that actually said, well, we are just invested because of phono. We followed it up this year asking them of that investment, what did you actually get from an ROI? What did you see?

Are you happy with it? Are you not happy with it? And how did it work out? Interestingly enough, there's a couple of differences between different global regions. So there's continued more investment currently in Europe, which is actually a bit of a surprise to me compared to the US. But we also saw that even though people said we're quite happy with the usage and the investment that we made, it was much more complex than we ever could have thought. And that was a general consensus across the globe that the complexity of the technology to bring it into the Anthropause workflow was vastly underestimated.

And I think to that, I actually agree with what you were saying about Agendaic browsers being more bullish on that particular technology, simply because it's already, it already has an interface. It already has an access point to all the different systems to make things happen. So that's a huge difference. Whereas Gen. A.I. in itself had to be integrated because it is just a technology where Agentic AI is, of course, also something that is much more geared towards having its own workflow, orchestration, and time. to a lot of different tools and activities, access to data, which is not easily access, well, actually not easily made available, where again, the browser, it's already there. If you can access it, the agentic browser can access it, which makes a huge difference. All right.

It's undeniable. It does make a huge difference, right? Having an agentic browser, be able to access whatever you're logged into in the context of your conversation. But with that, obviously, comes potential huge downsides, which we're going to get. to in just about 30 seconds after a quick word from our sponsors. This podcast is sponsored by Google. Hey folks, I'm Amar,

product and design lead at Google Deepind. We just launched a revamped vibe coding experience in AI Studio that lets you mix and match AI capabilities to turn your ideas into reality faster than ever. Just describe your app and Gem and I will automatically wire up the right models and APIs for you. And if you need a spark, hit I'm feeling lucky and we'll help you get started. head to AI. Studio slash build to create your first app. All right.

Like Brandon, I wasn't even thinking about this, but like with Google AI Studio, actually talk about cheat code. Like if you want one of my little personal secrets, up like record yourself doing a video of a task you want to automate in an agenic browser, upload that video into Google's AI studio, which has video understanding and it can literally just write an SOP for you. Sorry, that just popped into my head randomly. But, you know, Max, let's get into the other side, right?

because, yes, agentic browsers, when they have access to your data and you can log into, you know, these different portals and different software systems that you use on a day-to-day basis, it maybe solves the integration problem. But what new problems arise once you do start allowing an agentic browser to access maybe a little too much? Well, the fun part is, is that actually the agenic browser in itself is a cheat code to get access to systems that before you could not get access to. You know, as an agent, there's a certain signature when you try to reach out to these things. If you try to browse, I mean, anybody that's tried to get some sort of data from chat

GPT, for example, will have found out that sometimes it just says, well, I'm not allowed to access this site anymore. They're blocking me from accessing it. So a gentic browser changes that game again. And if you then put that into a business context, is something autonomously supposed to go into these systems and take it? actions? Is there a certain chain of authority, chain of custody that actually says a human should take these actions because they might have effect on a downstream decision that's going to happen? And then you

get into the nitty-gritty detail of what this could actually mean. So I'll give you a great example. I have a friend of mine that actually wanted to be removed from chat chTPT, simply because it had incorrect information and hallucinations that actually said he's dead. Now, that might sound funny that it's making those mistakes. It's not really. But if you think into the context of, let's say that this model is being used when it is making decisions. Well, if it's going through, for example, the approval process of a loan or customer onboarding, KYC, you name it, and it sees this name pop up, it's going to be, well, this can't be right. This is fraud. I should probably just say and deny. That has impact on people. And then you get into the point where like, okay, this actually

starts to coincide with a lot of regulations, ethics, compliance, where a lot of organizations are just not ready. There's also the more, you know, less impactful things of the personal productivity side where you could say, well, I have to complete this quite boring survey for work. Why don't I just have my agentic browser do it for me and nobody will know because I can give it's an input and it will kind of answer like me like it should and it saves me a ton of boring work. Again, is that then representative of what I'm actually supposed to do or say or provide feedback on? Not really because it's, yeah, it got a little bit of input, but it's not me. So the box of Pandora starts to open more and more as soon as you dig into what are the downstream effects of having it do work instead of you doing the work.

And where are the lines being drawn? Because right now, there is no legal framework. There's no compliance framework that is happening in these browsers. Not like if you start doing something that it goes, well, you probably shouldn't do this because then you will not comply with NIST, with the AI Act in Europe or do you want in the US. And so that list continues on. Also, even if we just think back to, for example, GDPR,

and the list of acronyms I know is long, so I'll slip after this one, Jordan, is just a thing that if you are processing data, let's say customer data and you're using a Jentic browser, it actually sees a lot of sensitive information, PIA. Is that allowed? Is that allowed? How does that work? Where does it go?

Does it stay within that environment actually no longer, even though you are just using it locally, maybe even from within your corporate network? It opens up just a myriad of conversations that will need to happen before this can be, adopted in any shape or way. But the same thing happened as well with Gen. AI, especially with Gen. TikiI, as soon as we get closer and closer to actually making decisions and taking actions, there's more ethics and compliance that come into place, which I think is a good

thing because it can have a lot of negative effects on people, on basically their livelihoods, in all honesty, if it gets it wrong. But when it does get it wrong, how are you going to know? Because you're not really watching when you were asking it to do those things for you. No worry. Yeah. And one thing I think about a lot is, okay, right now, if you want to take advantage of the best, you know, agentic browsers, you as a human make that choice, right? You have to go say, okay, I'm going to go download chat GPT's Atlas or OpenAIs Atlas.

Or I'm going to go download and use, you know, perplexities comet. However, right, about three weeks ago, Microsoft rolled out there. co-pilot mode more broadly, right, which opens it up to a lot of people on the enterprise using Microsoft Edge. Inside Google Chrome, they've been updating agentic capabilities. And I'm sure at some point, their Mariner agent is going to be rolled out generally. So what happens then, you know, in 2026 and beyond when you aren't making that intentional decision of, oh, I'm going to use an agentic browser versus when your default browser, the one that your company is telling you to use, might all of a sudden have agented capabilities?

What does that look like and maybe what new layers of complexity might that introduce? Well, I think it all starts with simply enabling people to actually understand the effects that it might have of using these tools, especially as they become more and more accustomed to it. I think if we look at the fact that it's now so easy to create fraudulent documents, for example, using image generators. Everybody loves all of the videos that are coming from that O' Banana and the images that are now possible with VO. But, okay, you can also create documents that actually say that you have a higher salary than you really do. It's just as easy. So if you think about that in context of these browsers and the capabilities that they will have,

again, in terms of what they can do for you, how they can commit to the work that you're doing, and even perhaps at that point in time, in a year's time, take so many actions and pull in all of their other capabilities from these large language models and everything around Gen AI, it really starts to become something that are like, well, we should probably hold back on allowing this in any level of the enterprise where there is an impact on any possibility whatsoever, upstream, downstream, on somebody or a customer. Because until there is that true enablement of your organization about how to leverage this properly, how to understand all of the compliance and regulations around it, I think it's a very risky thing.

In all honestly, the problem that I see right now leading up to it is because it is getting kind of, like you said, smoothly put into all of the existing browsers that everybody's already using today. It's not going to be a conscious decision anymore to go download a separate thing. It's just going to pop up. And I think it's going to be really hard for organizations to update their applications to detect that it's actually an agenetic browser that's using it so they can block they can hide and et cetera.

Of course, you have all of the IT possibilities to make sure those things don't get installed or they're turned off, but not every single organization has those things in place where there are policies that say, you cannot use the capability from Google, you cannot use the capability from copilot. It's going to be yet another level of policy

and also just work that's going to have to happen to make sure that these capabilities are used in a safe way. But I hate to say it, the problem always comes back to, it's us using it. So it's usually the humans that make the mistakes or ask the wrong things or don't understand how the technology works. It's never really the technology's fault in itself, but it's us. Yeah. And it always boils down to the human element, right? And one human I don't want to be in 2026 is someone in IT, right?

Because it's becoming more and more complex to protect and even understand how your company's data is being used as these capabilities get rolled out, not just inside the large language models we use, right? Like they're all bringing in these connectors now that can connect to enterprise data, but then, like I said, in the browser as well. So for those people, you know, whether they're in IT, you know, C-sweets that are, you know, taking care of data decisions, how should they be looking at setting future policies, right, when it is so hard, even I do this every day, this is all I do.

And it's hard for me to keep up. So how are those technical decision makers supposed to make the right decisions yet still innovate? It's going to be really hard for them. The only advice that I can really give is two things. One is based on data. So again, in our survey that I talked about earlier, we actually saw that organization that are not continuously investing in Gen AID technologies have more shadow IT popping up or shadowy eye popping up.

So that's interesting. So basically it says if you're not giving your, your internal customers what they're asking for, then they're just going to bring it on their own. And then you have zero control. Then you have no idea that it's happening. You have no idea what's going on. So it is actually better to invest and allow them to use these tools

and give them the tool in itself, but under your domain, under your control, and being able to make sure that there is, is some level of, okay, I have a handle on it. I might not exactly like everything about it so far, but at least I know that it's happening and I can make policy based on how they're using it. So that would be my database recommendation. Now, if you go back to a little bit more of the bigger picture, I do have to say that if there is the best advice that I can probably give, when it's about which decisions to make, which policies to make, also just to rethink how a

business works is exactly the last sentence. Rethink how your business works. don't try to plug in this new technology into an existing workflow, into an existing process. It will make it a little bit faster if you're lucky. It will solve a problem at one particular point, but it will create another one down the line. You have to really rethink exactly how your business operates and then choose the right technology for it. I will also say that oftentimes it's not going to be Gen.I. It's not going to be an agenetic browser. It could be a simple, good old regular expression.

that is going to solve your particular problem in a circumstance of your process. So because this is also the thing that I've been seeing, I don't know if you've been seeing the same thing, Jordan, watching all of this go down over the last couple of years, is that people have kind of like tunnel vision on the latest new thing and everything else that was good and actually solved problem before suddenly isn't good enough. Yeah, absolutely. I mean, shiny AI syndrome is probably one of the biggest obstacles holding any enterprise back, right? But, you know, we've covered a ton in today's episode, Max.

So, like, as we wrap up, I'm not going to make you look in your crystal ball, but here we are, you know, toward the end of 2025, heading into 2026. I'm going to talk about the high side. What is the high side of, you know, agenic browsers in terms of being a cheat code, right? What might we see in 2026? And then what's the high side of risk? So, you know, maybe you can kind of forewarn our audience, you know, What's the extreme in both cases that you might want to be looking at for next year?

Well, on the extreme side of the reward, I would say, the cheat code, I think, you know, as these technologies continue to evolve, they'll be better and better at navigating really complex workflows, really complex websites, basically, which will allow you to basically be able to say, well, I am now going to fully automate this. I'm going to simply say, provide you with data. I have prompt management. And you can have repetitive tasks just happen. And I actually see this happening that you'll have the capabilities,

like you can run your particular research or you can run your particular task on demand, on schedule, like, for example, within the existing LMs. You're going to be able to do it with your browser. You can tell every single week, I want you to go get my shopping list done. every single week. I want you to go do my reports. Every single week, I get a question from this particular person or even become even more ad hoc.

Watch my email. If I get this particular kind of request, then go do this. It will get to that level. And because of the ease of the fact that you can just describe what the workflow is, that is going to be the absolute cheat code. Anything that you can describe that is repetitive, you're going to basically be able to pull out of your day-to-day job. on the risk side, and I think you started off with it,

what if it suddenly makes a decision or a wrong kind of estimation? Because this is in the end, probabilistic technology. You can ask you the same question twice. You will never get the same exact answer. And we can do everything that we want, but even the builders of this technology have admitted the way that we train it right now, it is built to always give an answer, no matter whether it's right or wrong.

So that is something that you have to factor in. And that's really the crux of it all when it comes to the risk. There is very limited amount of, I would say, guardrails that are by default there because of the technology itself is almost impossible to kind of keep it in a straight lane. It will always kind of find its way and you can have a nice ending point where it has to end up. But how it will get there, you're going to find out each and every time. All right. Such a great conversation and timely insights as well.

So, Max, thank you so much for taking time out of your day to join Everyday AI. We appreciate your time and your insights. Thank you. Awesome. Thank you so much for having me, Gordon. All right. And if you miss anything, y'all, don't worry. We're going to be recapping it all in today's newsletter.

We're also going to share the study that Max was referencing there as well in case you want to know more. So thank you for tuning in. Make sure you go sign up for the newsletter, Your EverydayAI.com. Thanks for listening today. Hope to see you back for more Everyday AI. Thanks, y'all. Meet Firefly AI Assistant, now live in Adobe FireFey, Fly, the Allman One Creative AI Studio.

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