Internet up for Grabs
23 Jan 2026 08:00h - 08:45h
Internet up for Grabs
Session at a glance
Summary
This panel discussion at Davos explored the rapidly evolving structure of the internet and its transformation into an “agentic web” where AI agents will increasingly handle tasks on behalf of humans. The conversation was moderated by Nicholas Thompson, CEO of The Atlantic, with panelists including CEOs from GoDaddy, Parloa, and Distyl AI, along with the Director General of Consumers International.
The participants agreed that the internet is changing at an unprecedented pace, with AI agents soon expected to generate more traffic than humans. A central concern emerged around whether the web will remain open or become controlled by a few major platforms that have “drunk the internet to sell it back to us.” Aman Bhutani from GoDaddy proposed an “Agent Name Service” standard that would create accountability and transparency for AI agents by linking them to domain names with embedded security certificates and audit logs.
The discussion revealed significant tensions around business models and market concentration. While AI may make it easier than ever to start small businesses, there’s a risk that powerful AI platforms could consolidate control over internet traffic and commerce. The panelists debated how traditional advertising and subscription models will adapt when users increasingly interact with AI agents rather than visiting websites directly.
Consumer protection emerged as a critical issue, with Helena Leurent emphasizing the need for transparency, accountability, and user ownership of data. The group discussed moving toward outcome-based pricing models rather than input-based ones, though this raises questions about fairness and potential manipulation. Ultimately, the panelists expressed cautious optimism that technology could democratize opportunity while acknowledging the urgent need for standards and governance to prevent excessive consolidation of power.
Keypoints
Major Discussion Points:
– The Evolution of Internet Architecture and Agent Traffic: The panel discussed how the internet is rapidly changing from human-dominated traffic to agent-dominated traffic, with AI agents potentially roaming freely across the web. Key concerns included whether the internet will remain open or become gated behind “toll booths” controlled by major platforms, and the need for standards like Agent Name Service to ensure accountability and security.
– Business Model Disruption and Revenue Challenges: Significant focus on how traditional business models (subscriptions, advertising, direct website traffic) will be affected when users interact primarily through AI assistants like ChatGPT or Gemini rather than visiting websites directly. The discussion explored outcome-based pricing models and how companies will monetize services when AI intermediates most interactions.
– Consumer Rights, Privacy, and Data Ownership: Helena Leurent emphasized the need for transparency, accountability, and consumer representation in designing the new internet architecture. The panel discussed the trade-off between utility (giving agents access to personal data for better service) and privacy/security risks, with calls for consumers to have more control over their data.
– Small Business Survival vs. Market Concentration: Debate over whether the new internet will enable more small businesses to thrive (due to lower barriers to entry and AI tools) or lead to further consolidation among a few dominant platforms. The tension between horizontal innovation (small players, open standards) and vertical concentration (trillion-dollar companies) was a key theme.
– Future Job Markets and Economic Models: Discussion of how AI and the new internet will create new types of jobs and economic opportunities, with emphasis on expertise becoming more valuable, the importance of systems thinking, and the need for inclusive economic models that don’t disenfranchise large portions of the population.
Overall Purpose:
The discussion aimed to explore the fundamental transformation of the internet as AI agents become dominant, examining the implications for business models, consumer rights, market competition, and economic opportunity. The panel sought to identify both challenges and solutions for creating a more equitable and open internet architecture.
Overall Tone:
The tone was constructive and forward-looking, with participants building on each other’s ideas rather than engaging in adversarial debate. While there was acknowledgment of serious challenges and risks, the overall sentiment remained optimistic about finding solutions through open standards, proper regulation, and inclusive design. The moderator noted at the end that the discussion had an unusually high ratio of substantive insights to speculation, indicating the quality and depth of the conversation.
Speakers
– Nicholas Thompson – CEO of The Atlantic, moderator of the discussion
– Aman Bhutani – CEO of GoDaddy
– Malte Kosub – CEO of Parloa (helps brands create AI agents for customer support)
– Helena Leurent – Director General of Consumers International
– Arjun Prakash – CEO of Distyl AI
– Audience – Various audience members asking questions during the Q&A portion
Additional speakers:
None – all speakers mentioned in the transcript are included in the provided speakers names list.
Full session report
The Future of the Internet: Navigating the Transition to an Agentic Web
Executive Summary
This panel discussion at Davos examined the fundamental transformation of the internet as artificial intelligence agents increasingly mediate human interactions with digital content and services. Moderated by Nicholas Thompson, CEO of The Atlantic, the conversation brought together technology leaders and consumer advocates to explore how the web is evolving from a human-centric to an agent-dominated ecosystem.
The panel featured Aman Bhutani (CEO of GoDaddy), Malte Kosub (CEO of Parloa), Helena Leurent (Director General of Consumers International), and Arjun Prakash (CEO of Distyl AI). Their discussion revealed both opportunities for democratising business creation and significant risks of platform consolidation.
Central to the conversation was Bhutani’s striking metaphor that major AI platforms have “drunken the internet to sell it back to us,” capturing the tension between AI models that consume existing web content and the original sources they potentially bypass.
The Structural Transformation of Internet Architecture
The Shift to Agent-Dominated Traffic
The panellists agreed that the internet is undergoing its most significant structural change since its inception. Bhutani emphasised that “the internet is changing so fast” with “new protocols, new ways of interacting” emerging rapidly. Most significantly, he predicted that agent traffic will soon exceed human traffic, fundamentally altering how users interact with brands and content.
Kosub explained that AI assistants will “own the end-to-end experience,” meaning users will increasingly interact with brands through intermediary AI agents rather than visiting websites directly. Prakash reinforced this view, noting that new interaction patterns will emerge beyond traditional browsers, incorporating voice interfaces and direct intent-based commands.
As Prakash observed, “Models are increasingly going to become utilities,” whilst value creation will migrate to “whoever figures out interaction and distribution” for consumers and “whoever figures out the integration story” for enterprises.
Technical Infrastructure and Standards
Recognising the need for accountability in this new landscape, Bhutani proposed the Agent Name Service (ANS) standard as a solution for maintaining transparency and security. This system would link AI agents to domain names with embedded security certificates, ensuring accountability in agent interactions. Bhutani mentioned that GoDaddy has taken this specification and enhanced it, though widespread adoption remains to be seen.
The ANS standard represents an attempt to create what Bhutani termed an “agentic open web” that allows agents to roam freely whilst maintaining security and accountability. However, the effectiveness of such technical standards depends on broader industry adoption.
Business Model Disruption and Economic Transformation
The Crisis of Traditional Monetisation
The panel identified significant challenges to existing business models as AI agents intermediate between users and content. Thompson framed a central concern for media companies: when someone asks an AI agent “tell me what happened in Davos,” the agent might provide a comprehensive answer without users ever visiting news websites, undermining traditional advertising and subscription models.
This disruption extends beyond media. When AI agents aggregate and summarise content from multiple sources, traditional relationships between consumers and content providers become problematic. The challenge is particularly acute given Bhutani’s observation that major AI platforms have essentially “drunken the internet to sell it back to us.”
Thompson also raised the broader policy context, noting discussions about the Trump administration potentially requiring AI companies to pay for content they scrape, highlighting the unresolved nature of these economic relationships.
Emerging Pricing Models and New Economic Opportunities
The discussion revealed movement towards outcome-based pricing models. Both Prakash and Kosub discussed this shift, though with different perspectives on implementation. Prakash argued that payment should be tied to actual results achieved, whilst Kosub suggested that large enterprises might prefer consumption-based models to maintain control over their customer experience.
Regarding new economic opportunities, Bhutani expressed optimism about AI democratising business creation. He provided specific examples: “a roofer, a plumber, an executive coach, a coffee shop, a dental office” – all types of small businesses that could benefit from AI tools to compete more effectively.
Prakash noted that “the value of expertise will increase” as AI creates demand for specialists who can provide knowledge for training and consultation. He envisioned “a new economy for people skilled at describing what they want rather than following instructions.”
However, Prakash cautioned that current incentive systems need restructuring to ensure AI’s benefits are inclusive rather than concentrated among a few large players.
Consumer Rights and Platform Concentration
Consumer Protection Challenges
Helena Leurent brought a critical consumer advocacy perspective, emphasising that “consumer rights have not been prioritised in internet design.” She provided concerning statistics: “80% of people at the very least have been scammed in some way, 1 in 4 never get any sort of redress.”
Leurent argued for embedding fundamental principles in new internet architecture: transparency, safety, security, privacy, and fairness. She challenged assumptions about data ownership, asking “how do we take back some of that power and make that about consumer power and consumer voice and consumer representation.”
The panel acknowledged a tension between utility and privacy in agent-mediated interactions. The more personal information agents can access, the better they can serve users, but this also increases privacy and security risks.
The Concentration vs. Democratisation Paradox
One of the most complex issues discussed was how AI creates simultaneous trends towards both market concentration and business democratisation. Kosub observed that while AI platforms could become “way more powerful platforms because those will be horizontal platforms… they can do everything,” it also becomes easier for individuals to start new businesses.
Unlike current platforms that are typically specialised (e-commerce, travel, social media), AI agents can potentially handle all types of interactions, creating unprecedented opportunities for market dominance. Yet the same technology could lower barriers to entry for small businesses.
Bhutani argued that “technology should help small players compete more effectively with large companies,” expressing hope that AI will enable more people to pursue their passions and start businesses by reducing barriers to entry.
Key Unresolved Questions
The discussion highlighted several critical questions that remain unanswered:
Business Model Sustainability: How will advertising and subscription models function when personal agents mediate between users and content? The panel couldn’t provide definitive solutions to this fundamental challenge.
Content Compensation: How should content creators be compensated when their work is consumed through conversational AI interfaces? This question becomes more pressing as AI agents increasingly aggregate information from multiple sources.
Governance and Accountability: While technical solutions like ANS can provide audit trails, broader questions remain about how humans will be held responsible for their agents’ actions at scale.
Market Structure: The tension between AI’s democratising potential and the risk of unprecedented platform consolidation remains unresolved, requiring new approaches to competition policy.
Conclusion
This panel discussion revealed both the tremendous opportunities and significant risks associated with the internet’s transformation into an agent-driven ecosystem. While AI has the potential to democratise business creation and make expertise more accessible, it also poses risks of market concentration and consumer exploitation.
The path forward requires coordination among technology companies, consumer advocates, and regulatory authorities to establish technical standards, governance frameworks, and economic models that preserve the competitive nature of the internet whilst harnessing AI’s benefits.
The urgency of these challenges is clear. With agent traffic potentially surpassing human traffic in the near future, the window for establishing appropriate standards and governance frameworks is rapidly closing. The decisions made in the coming period will likely determine whether the future internet serves as a platform for broad-based opportunity or becomes dominated by a few powerful gatekeepers.
As the discussion demonstrated, while there is broad recognition of both the opportunities and risks ahead, the specific mechanisms for addressing these challenges remain largely unresolved, requiring continued dialogue and experimentation across industry, policy, and advocacy communities.
Session transcript
Hello. I’m Nicholas Thompson. I’m CEO of The Atlantic.
It is my pleasure to welcome you here for this incredible conversation we’re about to have on where the internet is going. What is the new structure? We all know it’s going to change, but what’s it going to be?
How are people going to use it? How are we going to protect their rights? How are companies going to make money?
We’ve got a fabulous panel here this morning. Aman Bhutani, he is the CEO of GoDaddy. How are you?
I’m well. Thank you for having me. Malte Kosub, he is the CEO of Parloa.
How are you? Very good. Thanks for having me.
Helena Laurent, she is the Director General of Consumers International. Good morning. Good morning, sir.
Arjun Prakash, he is the CEO of Distyl AI. Welcome. Thank you.
All right. This is going to be great. Why don’t we just start with the big question?
Why don’t we go to you, Aman? How fast is the internet changing right now, and what do you see it becoming? Start us off, and then we’ll start to argue.
I also want to say we’re going to bring the audience about 30 minutes, so get your questions, try to identify the best points of tension, bring it up then, fire away.
I think the internet is changing every week, every two, three weeks. We’re seeing new protocols. We’re seeing new ways of interaction.
Frankly, it’s all moving so fast that I haven’t met anyone who can keep up with everything. Even with tremendous effort, it’s very, very hard to keep up. To understand where it’s going, I think it’s good to very quickly anchor us in where we’ve come from.
When the internet came along, and some of us remember that world, our access to the internet was CompuServe. You dialed into a walled garden into a closed ecosystem. But what really led to innovation on the internet was the World Wide Web, where you could type in a name and seamlessly go anywhere in the world.
Now, the question is, when agents roam the internet, and there is going to be more agent traffic very, very soon here than human traffic, or it feels like that, are they going to roam free on the internet?
What does that mean for brands? What does that mean for companies? What does it mean for the platforms?
How is that really going to evolve? That’s what I’m excited about.
I mean, isn’t there a subsidiary question like, will there even be an internet?
Yeah, I think you can ask that question. Will there be an internet the way we know it today? Will there be an internet?
Yes, I think there will be an internet. But will it be behind a gate? Will it be behind a toll booth?
I personally believe it shouldn’t be. I’m a big fan of what we call the agentic open web. The web should remain open.
And innovation is driven because the web is open. That’s why anyone can join the internet and be discovered, work with customers directly. But if there’s a toll booth, that’s going to be much, much harder.
But these toll booths also depend on the internet. We have great models in the world, but they have drunken the internet to sell it back to us.
I like that. They’ve drunk the internet to sell it back to us? I think it’s the best model in the world.
You take everything that already exists to drink it in and get people to pay you for what they had access to. It’s a better interface.
It’s kind of a gross image, I’ve got to say. But I’m going to work with it. So Malte, you rely on this internet that’s been drunken in and spit out.
Is it possible? So what we’re seeing right now, the paradigm was you would go to Google, and Google would send you off to the internet. And now you go to Google.
Maybe it sends you off. Maybe it summarizes. Maybe it just kind of sucks you into Gemini.
How does that affect your business, and where do you see it going?
So we personally help brands to have agents on the homepage in their customer support hotline. So we help our brands. For our customers, it’s relevant.
And if we look at how do we believe the internet will change, we need to look back what was the internet in the past. And you had three ways how to interact with a brand. First, someone went directly to a homepage of a brand.
Second, it was some kind of advertisement. So it was a Google Ads in search. It was an advertisement on YouTube or wherever.
Or third, you purchase a product on a platform like Amazon or booking.com. Those are the three ways. Some is changing, some of them are not changing.
So, if you directly want to go to a brand, that will not change. Maybe the interface will change, it’s not a homepage anymore, it’s maybe an AI agent of a brand, but that will stay the same, right? And to interact with a platform like Amazon Booking, it might also be the same, the interface might change.
But what I think is changing dramatically is how you discover, so search will drastically change, right? So, in the past, you search and then there were a couple of links and you clicked on one and then you own the experience. But what will change in the future if you search, you will probably not own the experience because a personal assistant like ChatGPTD Gemini, they will own the experience end to end.
So, they become the new platforms, but way more powerful platforms because those will be horizontal platforms, right? It’s not just for e-commerce, not just for travel or an insurance broker, they can do everything.
So, okay, so I run a media company, this makes us nervous, right? Because if you go right now, people go in and they’re like, hey, tell me what happened in Davos. You click and there’s an article by David Frum, it’s awesome, right?
Soon, tell me what happened in Davos, Gemini will just answer. But it’s kind of worse for you, right? You make customer service agents for Booking.com, somebody goes in and they’re trying to book a trip, they go and they go to the customer service agents, they have a conversation, that’s great.
You make money, Booking.com makes money. In the future, they’re just going to ask Gemini, Gemini will produce its own agents, it’s not going to use your agents, right? How do you make money in that new web?
Yeah. So, in the end, it will still be a platform behind a ChatGPT that executes a booking for a trip, for example, right? So, you will still have that product.
So, then there will be a distribution of attention. So, some customers will go to ChatGPT to ask a customer support question on their booking, and then ChatGPT needs to interact with Booking.com. So Booking.com needs to guarantee to send the right information at the right time and we support those brands to do that.
Or a customer would directly go to the brand, to Booking.com, and try to get their questions answered and there we help as well. So it is all about the distribution, how much will then be funneled through the personal assistant like ChatGPT, Gemini, and how much will be funneled directly to the brand. And brands will fight to continue to still own the experience, right?
And it’s a bit like the platform game, right? Did someone buy a product via Amazon or did someone buy a product via the company itself? And companies try to optimize to own the experience end-to-end.
Let’s stay on this and actually, Arjun, I’m going to go to you and then Helen, I’m going to ask you a sort of a more fundamental question. You know, what Malte is talking about, it sounds like there’s a good route for his company, for my company, for lots of other companies. Assuming there’s still a web, but eventually if you just get so used to doing it within your own chatbot, you’re just used to accessing all information through Gemini or OpenAI or whatever gets invented, why would you even go to a browser?
And if you don’t go to a browser, how would you ever go directly to a website? And so then doesn’t this path that Malte is talking about, which works well for him, works well for me, doesn’t that go away?
I think we’re going to have to rethink how we engage with the internet. The models are, in my opinion, closer to utility. The value creation story in consumer is going to come from new interaction patterns that allow you to engage with intelligence in a different way.
Historically, there’s been a browser predominantly around a search-based experience. Now what’s possible is agents that can take action based on your intent and that requires an entire new set of interfaces that, honestly, I think we’re still figuring out as an industry. Voice, certain things that involve directly understanding what you’re thinking, robotics, etc.
So in the consumer space, I think the interaction pattern is going to look very different and whoever cracks that is going to fundamentally own distribution. And on the enterprise side, it’s very different because there the bottleneck has historically been the models don’t understand what is unique to your enterprise because it’s unique to your data, it’s unique to your processes.
So in the enterprise game, whoever cracks integration is going to probably end up owning enterprise in a first class way. So models are increasingly going to become utilities. Consumer is going to probably gravitate around whoever figures out interaction and distribution by corollary.
And enterprise is probably going to gravitate around whoever figures out the integration story.
Define what you mean by understand the integration story?
So the models don’t understand the data in your company. They’ve never seen it before. They also don’t understand your business processes.
So if we subscribe to the idea that we are moving to an action economy, not just an attention economy where AI is going to take actions, it needs to understand how to plug into your enterprise to take actions and do it correctly.
So now you need an entire new set of software and infrastructure to educate the models on how to exactly operate within the confines of your company, which still stays proprietary. That’s the integration problem.
And you don’t think the models will just be able to solve it, that cloud code will just look at it and figure it out?
There’s a version of the world where enterprises still want to own that because that is ultimately their secret sauce.
So they’ll want to own it, but will they be able to own it?
Of course, because it’s their data. And they’re going to still use the models as intelligence, but they’re going to still own the data, which makes them unique. And there’s going to be need for certain software that lives with the enterprise that bridges that gap.
So you can still use the intelligence, but not have the intelligence trained on your data.
Okay. Helena, let’s go to you. And I want to ask you a more sort of fundamental question, which is you’ve been here in Davos, you’ve been fighting 20 hours a day, you said.
I’m going to try to protect at least, she’s already had, I saw her, I first sat down with her 30 minutes ago, during which I think she’s had three, possibly four cups of coffee. So part of the reason you’re doing this is because consumer rights have not been entirely at the forefront as we designed the last web. Now we’re designing a whole new thing and it’s not clear they’re going to be any more at the forefront.
So why don’t you lay out what you think the fundamental principle should be as we move to whatever the heck is coming.
Yeah. And I think this is because it’s so fascinating. I started in this role in 2019 and you say things like privacy and people are like, but perhaps because of the pandemic and because of scams, 80% of people at the very least have been scammed in some way, 1 in 4 never get any sort of redress.
And I think people are starting to look at this question that we’re asking here in the halls of Davos at the dinner table because it’s about that power. You say they’re going to own the data. Well, how do we take back some of that power and make that about consumer power and consumer voice and consumer representation, because that’s us and our role in the marketplace.
So very pleased to be in this panel, even though I probably won’t understand half of what is said in terms of the technical side of things, but our network around the world has thought about this in Korea, even flagging AI washing, because let’s face it, everything is being sort of touted as AI now when it’s not.
In Brazil, really fighting for rights and how data is used around the world, thinking about what are the principles. And I think we’re sort of emerging with, we need to be basing whatever that future model is. And it would be wonderful to think of an agentic AI future where my agent bands up with others and goes out there and changes the food system.
This is the sort of the brilliant. the bright vision that you know we’re painted with all of this. If we can chart a way through that by thinking about you know transparency.
How are we supposed to judge these things if we don’t know what’s going on? If we can’t see anything? There is no way in which an individual or an NGO could go and sort of explore and understand.
There is no way in which you can get redress in that system. You know you need to be thinking about what happens when it goes wrong. We need safety and security and privacy as basics and we need a sort of not just the auditability but fairness and what fairness means can only be designed if consumers are at the table as we think about what the future of the internet looks like.
So this is great why don’t I go to Malte or Arjun and ask about an interesting trade-off here which is you we’re all gonna have agents to go out and do stuff for us right and there’ll be a little bit of a trade-off between utility and privacy right.
If I give it all of my data and I feed it all my emails and all my interest and I give it access to my brain scans it’ll be able to argue a lot better on my behalf. On the other hand it’ll create a massive new attack vector and some of the unscrupulous agents not the ones that you guys run will be you know sold off third parties. So how do you guys think about this trade-off?
So I think the best way to reconcile what you just talked about is accountability. Fundamentally if you just subscribe to the fact that these agents are scaling intelligence it’s doing the action on behalf of some human who has given it an intent. If you just subscribe to that as the principle then there should be a way to number one hold the human who provided the intent accountable and number two have governance to ensure that the AI agents are taking actions that are in line and aligned with the intent of the human.
And either of these could go wrong. You could have technology that is not aligned to the intent of the human, and then that’s a bad outcome, and that is a very major risk. And you could also have a world where the humans are not accountable, and so now people are putting out agents with mass reach, doing very unscrupulous things, and like some of the things we saw with social media, there’s no way to hold them accountable.
That’s a thing we have to figure out, and it’ll come sooner than we think it is.
Do you wanna add on to that, Malte?
Yeah, I would add that I believe it is all about transparency. So the user needs to know what is happening, what data is stored, what data is used, what actions are being taken, and there needs to be guardrails, so clear rules, what those agents can do on behalf of customers without clear oversight of a human in real time.
Right now, those rules are not there, but they need to get in place.
If I could add, I think when we talk about this, there’s a lot of philosophical alignment on an idea called the agentic open web, which does what you’re talking about, that you have your agent and it goes and works with other agents and produces this outcome, which is a little different from big agents that work within organizational boundaries, right?
Interestingly, all the things we talked about, the transparency, to be able to have audit log of what happens, there’s literally a standard called agent name service that somebody wrote and put it in IETF that said when an agent comes onto the internet, it should have these things, and as GoDaddy, we actually took that spec and we enhanced it and we implemented it, and what happens in that is that when you bring an agent to the internet, it actually gets attached to your domain name and your domain name settings, so there is no rogue agent out in the world.
With that agent, we embed security certificates, so there is no spamming. If people follow that standard, there is literally no way to do something anonymously, which is what happened with the internet, right? We came up with HTTP, a protocol that didn’t have security, that didn’t have authentication.
We connected the world and everyone used it, and it was fantastic until we realized that, oh my God, that means anyone can be anonymous and do anything. So now we need a security layer, right? 25-30 years ago, 30 years ago you wouldn’t have gone to your banking website and put in your credentials because you’re afraid of the Internet And then what did we do?
We put lock boxes everywhere, which are search, it’s SSL search Now you don’t see those lock boxes because we all feel comfortable with it because it just works You go in and type your favorite, you know Institution’s name or company’s name or whatever and you don’t guess that something bad’s gonna happen You actually trust that the Internet’s gonna deliver because there’s a global infrastructure that supports humans on the Internet It’s called Domain Name Service And it sits with SSL, Secure Socket Layer Those two technologies make every person comfortable that when you’re in the open web, you’re fine That same infrastructure can support Agents on the Internet.
It’s called Agent Name Service And that’s what actually we should move towards and we want to talk to a lot of people about that Because if we do those things a lot of things you talked about can happen and the things you guys are building that You know, you want access to the information and you want to know that it’s transparent in the Agent Name Service There is what is called a Merkle tree log, an immutable log that records every version change So if you want to go back and see that the agent was this, well who did it?
It’s the domain name It’s who owns the domain that’s registered. What did it do? What version it was?
What time and date?
But hold on Aman, so is this something that you have built in GoDaddy for GoDaddy agents?
And you have… No, we’re championing an open standard on it.
So an open standard that you’re implementing at GoDaddy. And who else is using it? Because it only matters if everybody uses it
Well, it matters. Yes, if everybody uses it, it works. But even if a few large players use it It will…
It’s a domino effect then Because if you get used to getting your agents information when you pull the domain name from DNS It’s just, you know, it’s just so simple. It’s so elegant. It’s the simplest way to do it.
The infrastructure already exists It replicates globally. It doesn’t matter where you are in the world You put up a website or you add a domain name, five minutes later, usually a few minutes later, it’s available anywhere in the world. In 24 hours, it’s definitely available.
Do you guys think this is a good idea?
I can answer. I mean, the two questions I would have are, you know, what you really want is that the… Who is controlling that?
How concentrated is that system? And who has the right to change?
No, we’re not. I’m just kidding.
Well, that’s number one.
It’s completely open. Anyone can implement the standard. Add that information to the domain record, and now you have a perfect accountability because actually what the standard does is it embeds certificates both to communicate with the agent securely and the identity of the agent.
And the identity of the agent has levels. So if somebody, it doesn’t have to be GoDaddy, authenticates the company and says, this is XYZ company, they have this certificate, we have checked with humans that this is the company that has the certificate.
Now that cannot be misused on the internet. And that’s how the internet works today. If somebody else wants to do fraud and they find some misspelling or they try to, you know, sort of usurp it some way, there is existing practice of how you nuke that globally, how you take that down.
So it really, the minute you attach it to the existing entities, now you know, like, you know, pick your favorite brand. We’re the largest domain registrar in the world. About over 20% of domain entries, when you type something in, it originated with us.
Like where it has to go, originated with GoDaddy, right? So we are very interested in domain fraud. We’re very interested in fraud for our customers.
I have, you’d be surprised how large a trust and safety team I have because people can do a huge amount of fraud on the internet because of the way it’s structured. And with agents, it’s going to get way, way worse.
That only works, and actually, let me bring in the rest of the panel. That only works if we have a, I think, if we have a web that’s kind of like the web we have now, where if you want to… I don’t know.
You want to access Sephora. It’s a brand a lot of people like. It’s through sephora.com, right, where they have a website.
If the way it works is that the way you get Sephora is through an app within the ChatGPT store or within the Gemini store or the Anthropic store.
And where does that store get to Sephora? How do they know about Sephora?
Presumably through Gemini OpenAI Anthropic.
What does Gemini do? Gemini scrapes Sephora.com to get content about Sephora.
Or Sephora feeds it in directly into Gemini. I mean Sephora.com could just be wiped out in this new paradigm. It doesn’t matter for your example what gets wiped out.
Every platform needs information about every company. A large company may input it directly and currently there’s no, like you can’t go to ChatGPT and change the model behind it. That’s not a thing, right?
The model is trained and the way it’s trained is that it scrapes the internet, drinks it in, like I said earlier, right, because it goes scrapes everything. And Google already scrapes everything. That’s how you get links back, right?
It scrapes the internet. It synthesizes it. And when you’re looking for Sephora, it then finds it.
But where did it get Sephora’s content? It got it by typing or understanding Sephora.com. The minute it does that to get that information, it should have Sephora’s agents right away.
All right. This is an amazing idea. If you have more questions about it, let’s talk about it more.
This is incredible. Before we go to audience question, about eight minutes. So I’m going to put one great idea on the table.
We’ll probably spend an hour debating whether it’s good, bad, how to make better. What are some of the other most important ideas? Things that could be done in the next two years that would lead to an internet that protects privacy and that also like lets small businesses survive, right?
Because we don’t want a world where they’re just four companies. What needs to happen?
I can go first. All right. So I love ideas where there are some really interesting ideas which start from ownership of data by people who create that data.
and then, you know, then you start to see, you know, okay well to scale that what are the licensing agreements that then can be made that continue to bring the value back to the people who create and own that data and I think those are really exciting, still small scale, you know, you’ve got examples from New Zealand around, you know, Tehiku is a brilliant media company and that would be really exciting to explore and scale up I think the other piece is about making sure that people understand what can be done in lots of consumer information and talking about this so that we’re involved in the design and then I think we’re going to have to explore, you know, there are many, many possible futures of the internet that you could explore some of them really dark where, you know, it’s actually fragmented by countries deciding that they want that control, you know, we haven’t talked about that here you want one where you’ve got the opportunity of, you know, look at 80% now have a digital, 80% of people on earth now have a digital bank account, that is net good so how do we lean into that and start, I think the answer will come from really going back to those models where there is safe regulation that helps people take more ownership of their, what they are producing and the data out there because it’s that and the data brokerage and all of the system behind that is, and the fact that we’re talking about the internet in terms of brands the internet is about online connection of people, you know, so let’s start there perhaps before we get into the sort of the advertising and the marketing side of that which came after the invention of the internet
I’ll just say that there are two things that I think we need to be able to solve and I think will change, number one is a move in general across the industry to more what I would call outcome based monetization models and so you’re going to see, for example, in consumer a version of that where now Pricing models move increasingly towards actions that things take on your behalf I actually happen to think that that is well aligned with the interest of users and in the enterprise are also going to similarly see the death of an entire set of industries that today work on The base of like pricing inputs not outputs and we’ve generally seen whenever things have been priced based on output efficiencies coming So I think you’re going to see this on the business model side and it’s going to reflect also in the technologies that get built So that’s number one
Before you go number two, I’m not gonna I want you to finish number two explain exactly a transaction That would be outcome based like what you mean by that, right?
So I’ll give you an example from enterprise, right? So today for example the way that large enterprises Do business as they work with the systems integrated they work with a few software providers And then there’s a time and materials based model, which is called labor plus and you build a project It’s very input space in this new world You’re gonna move all pricing models both the licenses for the software as well as for the labor for the systems integrators The more of an outcome based model where for example, if I want a customer experience solution like like you might be providing there I’m paving being ping based on containment or based on a margin or a Percentage for every every sale that’s made got it.
That’s finally possible at scale. That’s what now number two Number two is how do you actually now set this up in a way that is governable and creates the right incentives? I think in the consumer space It’s gonna require figuring out an ownership model that makes everybody feel like they’re part of the ecosystem Otherwise, you’re gonna end up with a small handful of people who can scale very well and create an abundant amount of wealth But has disenfranchised a very large percent of the population Finding an ownership model that brings more people into the fold to create incentives.
I think is going to be very important It’s intense incentivizes them to take part in it and also Benefit from it. So that’s on the consumer side and then on the enterprise side there’s a there’s a version of it which is making sure that the AI in enterprises is Fundamentally accountable to the people at those enterprises that are creating those agents without that You’re nobody’s gonna trust the AI within their enterprise now I’m gonna see the productivity improvements that I think we have hopefully come to expect.
Malte.
And we are in front of one of the biggest shifts in human labor that has ever happened. And in those large shifts, opportunities emerge. Because entrepreneurs can start new businesses and help to use technology to change.
So I think there will be a lot of opportunities coming. That’s the first part. The second part, to talk about pricing, I fully agree that outcome-based pricing for very clear defined vertical use cases is the future.
If we look at the enterprise, I believe we will continue to move into a consumption-based model, because I believe large enterprises, they will want to own the experience of an agent. And who then defines the outcome? Who defines what to optimize for?
An enterprise might want to have a conversation for 10 minutes in order to have a longer conversation to get to know the customer better. That creates more compute costs. But maybe that’s the outcome that the company wants to optimize for.
So I think for very clear defined use case, I’m fully with you, this will be heavily outcome-based. For large enterprises, I believe it will still continue to be consumption-based, because they want to own the experience.
All right. Sorry, just to touch on small businesses. We work with small businesses all over the world.
That’s our customer globally. To touch on your question, I fundamentally believe a better world is where there are more small businesses. None of us want a world where there are only a few choices.
Something we want a lot of choice. And if AI is going to create a ton of new jobs, it’s going to be because the technology allows micro-businesses and small businesses to provide us more of those options. So what needs to happen, was your question, what needs to happen is the new version of the internet, even with agents, needs to bring that choice to the consumer so that the consumer can have that variety of choice versus narrow down the choices somehow.
Which then I think leads to a much more negative outcome.
One last point, this point about outcomes is so important and then how that defines the measurement of the next internet. Because 80% of people have a digital bank account now but only 54% of people in the world can access emergency funds within a month if they have some sort of crisis with their kid. So now in that world we’ve measured how many people have access, probably how, you know, feedback about satisfaction, how long somebody would speak to you on the phone about your bank account but we haven’t measured does that actually help at the end.
And so can we explore what outcome means in this next world and there will be multiple pieces of that.
We’re going to move to audience questions in about one minute but very quickly Aman just said something very important and I’m curious whether you all agree which is the internet will be better and the world will be better if there are lots of small businesses and I imagine we all agree with that.
Are we heading in that direction or are we heading in the direction of a world where the internet is dominated by one player, two, three, four? Are we going in the direction of diversification or centralization?
I think you have two parallel dynamics, right? You have those personal assistants, Gemini, which become horizontal platforms that not just focus on e-commerce, travel, insurance, they can consult in everything. That could be an argument that there will be less.
On the other hand, it’s easier than ever before to start a business, right? And you see a lot of small businesses emerge. There are discussions about the first billion dollar company created by one person, right?
So we have those two dynamics and we need to enable those.
You almost did that. You’re a three billion dollar company with like very few employees, right?
Yes. So I think it’s easier than ever to create business. So there are two parallel dynamics going on.
I think it’s a matter of incentives. Right now, the incentives are set up in a way that I worry about this a lot. We are heading towards a few companies creating a lot of value.
I think as a country, country’s total output’s gonna grow, I think, but now they’re gonna be able to do more with less. And the current incentive system does not create an incentive for more people to come in and start small businesses and feel like they are able to benefit from it. And we have to rethink our economic models because there was value to being a knowledge worker and an intelligence worker in an enterprise, and now that is scalable with intelligence that’s just powered by electricity.
And we have to rethink our incentive systems for this to be an inclusive boom. It is gonna be a boom, I just hope it is an inclusive boom.
Great, so we’re gonna go to audience questions. Cutting all y’all panelists off. Please raise your hand, ask questions of our wonderful people.
If they’ve said something wildly wrong, please call them out. If you’d like to challenge them on an assumption, please do that. Okay, Helena, you can answer what you were gonna answer before I rudely cut you off because nobody raised their hands, but please raise your hands and as soon as you do, I’ll cut them all off.
I’ll keep it quick, and yeah, come on, come on, come on, because I’m sure I’m definitely wrong on so many things. I was gonna add to this that where are you seeing innovation? In food, in health, in energy, you need innovative companies coming forward and the investment in those companies that are driving a change, food environments, preventive health, all of the things that we need innovation around, that could come from a different model of the internet and in a different engagement with consumers.
That’s what we want to see, right? So it’s not just about the competition structure, which is a disaster, it’s also about where are we seeing the things that matter to us.
If I could just add, let’s just define what the micro-small business is. It’s your roofer, it’s your plumber, it’s your executive coach, it’s your coffee shop, it’s your dental office. Those are the people we’re talking about here.
Yes, I agree with your guys’ comments, but I would say being in that business serving over 20 million of those customers globally, the Internet has absolutely helped those businesses. And the cost of starting a business and letting people know what your business is has been amazingly helped by the Internet. What we need to do is make sure that as the Internet moves to agents, that we don’t break that good thing that was done.
That’s the really very important thing, that as we move to agents, that we don’t consolidate the power with a few people, with a few companies. And it’s very doable, and I’m an optimist, I’m a huge long-term optimist, and my view is that the whole reason technology exists is to help the small player compete more effectively with the big player.
And they are able to do that better and better today because of technology. And if AI is going to reach its true purpose, it’s going to do that even better.
Let me ask you a question that ties very directly into my business, but also millions of others. We at The Atlantic, we make money two ways. We sell subscriptions.
You want to read an article, at some point we ask you to pay, you have to pay, you subscribe, ideally you resubscribe, and we sell advertisements. You come to our website, you go to our app, and you see an ad for a company, and it makes you feel better about the company, and then you buy their products. How do ads work in an agentic world?
So when I have my own personal agent, and I say, hey, personal agent, go out and tell me all the news from the day, how are ads going to work and how are subscriptions going to work?
I think a lot of those things are going to be figured out.
I hope soon.
There will be ads. So OpenAI launched first concepts of ads just recently. Are there as much choice as before?
When you look at the Google search rank, maybe not, but 70% of clicks went through the first three. clicks either way, so we believe there will be ads. I think a big question is, there’s a lot of content and how do we pay the creators of content when content is surfaced in a conversational interface and we need rules for that, because otherwise platforms like yours, they have a challenge if you put content out there that is being consumed, but it doesn’t lead to customers going to your homepage, to your app.
And I think that is a topic that needs to be figured out and right now it is not.
And in fact, we may be going in the wrong direction. The one specific idea I’ve heard in Davos for rules for that is that the Trump administration should make sure there are no rules so that the big AI companies can keep snarfing the whole internet, drinking it all up and then building products that compete, which was not an idea I entirely agreed with, but there we are.
How will subscriptions work in this new model? Much of the web is based on subscriptions. If I send out an agent, I say, give me all the information I need, how will that model work?
I think subscriptions should absolutely follow an evolution of the current model. And what is the current model based on? There is an agreement between you and the aggregator of traffic.
The aggregator of traffic today, the largest one is Google search and you are a large content provider who makes amazing content. And you allow Google to have access to all your content because Google gives you links back. And you are able to drive both advertising revenue and subscription using the traffic that comes to you.
If the agentic or chat experience or AI experience breaks that fundamental relationship, then that relationship itself will have to evolve because you are not going to give your content for free to another entity that then doesn’t give you anything back in return.
All right, let’s get the audience questions going right here. Do we have multiple hands back or no? Okay.
Yeah, I’m just curious about when we look at the internet, it created different economies or jobs, right? You had the gig economy. You had a lot of different jobs come out of that.
I think when this AI boom came, there was a lot of talk on different roles. So I’d be curious to know, if we look at this new architecture of the Internet, what are some maybe macro or micro economies that could come out of it or different types of jobs?
Good question.
I think it’s a million-dollar question on what are the new jobs. We’re all sort of conscious of the jobs that we think are going to be impacted by AI, but we’re less clear about the jobs that are going to be created. Fundamentally, my thought process on that is that if you look at the technology, that’s been fantastic technology innovation the last few decades, what it has done is it has allowed more and more human beings to complete actions that otherwise they may not have fully been able to complete, that they might have needed way more expertise or way more time to do whatever that action was.
And AI is going to help them do those actions better and better. It is going to make them much stronger versions of what they want to achieve. My view of the world is that that should help more people drive their passion, their idea, bring it to the world faster, better, assuming, of course, the agentic open web exists, supported by standards, that you can actually get the traffic for it.
But as AI becomes better, people will be able to pursue more of their passion. And it doesn’t matter what that passion is. I think AI is really going to help with that.
And those should be the new opportunities.
I just want to add to that two things. Number one, I think the value of expertise is going to go up. And you’re already beginning to see that economy get created because if you’re in mathematics or in healthcare, you can actually now offer your expertise in return for the new form of data labeling.
That is already beginning to happen. And there are going to be more evolved versions of this, where expertise actually becomes incredibly valuable. So that’s number one.
Number two is I think it’s also going to create an entire new economy of people who are very good at describing what they want. Today, we’re very good at taking instructions and following instructions. The economic model has almost incentivized us all.
The educational system has also done that. But I think there’s a little bit of a re-education needed, where a good systems thinker can actually do a lot with very little and be extremely competitive. And that’s, I think, going to be very important.
And just to one point you had said earlier about subscription models, I do want to just say that subscription models have historically priced inputs, not outputs, because there’s no good way to measure value in the current world of attention.
But in this new world of an action economy where AI is taking actions, you can actually measure the output of the AI doing things. I think you’re going to move to value-based pricing across the board.
So with subscriptions, if you have an agent and you go out and you say, hey, tell me what’s interesting in the world based on my interest, what I’ve read, what I think, it comes back and it gives you a summary.
You’ll reverse engineer from that summary, what contributed to it, and then you’ll ascribe value that way?
Let’s take a more basic example. If, for example, I need a particular item, today I go, I search for it, and I go buy it myself. So I’m going to tell an agent to do it, and it’s going to make a small commission on having bought it.
That’s value-based, and you’re going to see different flavors of this.
Right. So your agent will then have some weird incentives where, well, actually, I want to go buy a rake, it’ll want to buy the higher rake if it’s commission-based.
That’s a good point, and we’re going to have to figure out how to do that in a way that’s aligned with people’s best interest.
Helena?
Yeah, so first on that point, it’s the, currently what we’re seeing is personalized pricing that ends up working in certain instances, and it can work against the consumer, right? And so unless this is designed well, you will be the target for higher pricing for exactly the same product in this instance, unless you’ve got that sort of the agent actually working for you and your ability to switch at ease, right?
So that’s this part of pricing that can work in the other way, and I don’t think people realize that, nor can we measure it or see it very easily currently. So you need that accountability. And in answer to this question, I think the fascinating part will be, I think AI will get rid of tasks that can be eaten more easily replaced.
And the really exciting piece is, for example, in those spaces where so much of healthcare spending is now on preventing disease, so little of it is now on preventing disease, for example, versus on accidents, and the pressure on our health systems is so great.
So the opportunity to look at health, well-being, how will we, AI can help you with that and can give you some sort of ways in which I can then. measure my wellness but as we all know you don’t just want to be relying on you know a technical solution for your health and your well-being you need human contact there as well so I think sort of possibly some of the places we’ll see new jobs arise are in these spaces where we need to sort of interpret the results and make sense of them as humans that that will be really interesting.
We have we have a lot of ideas and a lot of agreement on what needs to happen what makes it better can I ask a strategy question so I sometimes think of the way I sometimes think of technology on the sort of these two axes there’s like this vertical race which is the gigantic trillion dollar companies building what they’re building and then there’s horizontal race which is you know everybody else it’s small businesses it’s civil society organizations it’s academics and they’re building tools that are sometimes absorbed in this and you know this is fascinating question whether the horizontal race is building as quickly as the vertical race when you’re thinking about strategy and you’re thinking about like how do we make the world better and how do we make it fair and how do we have a more competitive world is it more important to try to change the actions of the companies on the vertical race or is it more important on the horizontal race to like hope that things like Linux get developed from you know a finished programmer in his bedroom what do you guys think?
I think the mission of our company is to make opportunity more inclusive for all so we’re focused very much on the horizontal but this is not a choice I think to make it work for the horizontal we need the trillion dollar companies or the vertical to adopt certain things so for me I’m I don’t I think we have to be clear that a better world is where the horizontal succeeds and if that means that the vertical world has to meet certain certain criteria that are human first ideas that are society first ideas then I think that’s the right decision.
And I think I said I think it hasn’t been easier to build a business right now with all the technology coming so we are moving in the right direction there but I think we need to make sure that there are not two or three platforms that actually own the internet and and control where traffic is going and I think that is the part where we need to spend time we are still at the beginning but we need to spend time because if that happens the whole horizontal thing is in danger because just two or three players control the Internet.
Question in the back? One more one more comment that was the one minute warning actually.
It’s both right because the truth and the future will be somewhere in the middle of that right we yeah.
It’s both right because the truth and actually could have been three things the vertical race the one minute warning. So you think it’s both so when you think about your efforts and you think about your massively powerful organization all the people meet in Davos it’s horizontal vertical push.
It’s both because and actually you can do that you know on the ground our members around the world can challenge you know there are ways in which you can you can challenge you can bring class action you can fight you can campaign you can boycott there are all sorts of exciting things you can do and you can also work and shape beyond the idea is to get ahead into those conversations so that we’re not fighting so that we’re we’re building.
So one of the things about conversations about agents is the ratio of BS actual insights is usually about 10 to 1 and I got to say this panel zero BS 100% content you guys are awesome thank you so much thank you for hosting us here in Davos have a wonderful rest of the day.
That was great. So good. Thank you.
So good. Thank you.
Aman Bhutani
Speech speed
198 words per minute
Speech length
2215 words
Speech time
669 seconds
Internet is changing rapidly with new protocols and interaction methods every few weeks
Explanation
Bhutani argues that the pace of internet evolution is accelerating dramatically, with new protocols and interaction methods emerging every 2-3 weeks. He emphasizes that this rapid change makes it extremely difficult for anyone to keep up with all developments, even with tremendous effort.
Evidence
Personal observation that he hasn’t met anyone who can keep up with everything despite tremendous effort
Major discussion point
The Future Structure and Evolution of the Internet
Topics
Infrastructure | Economic
Agreed with
– Malte Kosub
– Arjun Prakash
Agreed on
The internet is undergoing rapid and fundamental transformation driven by AI agents
Agent traffic will soon exceed human traffic, fundamentally changing how we interact with the web
Explanation
Bhutani predicts that AI agents will soon generate more internet traffic than humans, creating a fundamental shift in how the web operates. He draws parallels to the early internet’s evolution from closed systems like CompuServe to the open World Wide Web, questioning whether agents will have similar freedom to roam.
Evidence
Historical comparison to CompuServe’s walled garden versus the open World Wide Web that enabled seamless global access
Major discussion point
The Future Structure and Evolution of the Internet
Topics
Infrastructure | Economic
Agreed with
– Malte Kosub
– Arjun Prakash
Agreed on
The internet is undergoing rapid and fundamental transformation driven by AI agents
An ‘agentic open web’ should allow agents to roam freely while maintaining security and accountability
Explanation
Bhutani advocates for maintaining an open internet architecture where AI agents can operate freely without being restricted by toll booths or gatekeepers. He argues that innovation has historically been driven by the web’s openness, allowing anyone to join and be discovered by customers directly.
Evidence
Historical success of the open web model in driving innovation and enabling direct customer relationships
Major discussion point
Technical Standards and Accountability for AI Agents
Topics
Infrastructure | Economic | Legal and regulatory
Agent Name Service standard can provide authentication, security certificates, and immutable audit logs for agent actions
Explanation
Bhutani proposes implementing the Agent Name Service standard that attaches agents to domain names with embedded security certificates and identity verification. This system would create accountability by preventing anonymous agent operations and maintaining immutable logs of all agent activities and version changes.
Evidence
GoDaddy has implemented this standard based on IETF specifications; comparison to how SSL and DNS currently provide security infrastructure for human internet use; GoDaddy processes over 20% of global domain entries
Major discussion point
Technical Standards and Accountability for AI Agents
Topics
Infrastructure | Cybersecurity | Legal and regulatory
Agreed with
– Malte Kosub
– Helena Leurent
– Arjun Prakash
Agreed on
Transparency and accountability are essential for AI agent systems
Disagreed with
– Malte Kosub
Disagreed on
Effectiveness of technical standards versus market forces in ensuring internet openness
Traditional advertising and subscription models face disruption as AI intermediates between users and content
Explanation
Bhutani explains that current business models depend on agreements between content providers and traffic aggregators like Google, where content access is exchanged for traffic links. If AI chat experiences break this fundamental relationship by not providing traffic back to content creators, the entire model will need to evolve.
Evidence
Current model where Google scrapes content and provides links back to drive both advertising revenue and subscriptions
Major discussion point
Business Models and Monetization in the AI-Driven Internet
Topics
Economic | Legal and regulatory
The internet has historically helped small businesses by reducing startup costs and improving discoverability
Explanation
Bhutani argues that the internet has significantly benefited micro and small businesses like roofers, plumbers, coffee shops, and dental offices by dramatically reducing the cost of starting a business and letting people know about it. He emphasizes the importance of preserving this benefit as the internet evolves toward agent-based interactions.
Evidence
GoDaddy serves over 20 million small business customers globally; examples of specific business types that have benefited
Major discussion point
Competition and Market Structure
Topics
Economic | Development
Agreed with
– Malte Kosub
– Helena Leurent
Agreed on
The future internet presents both opportunities for small businesses and risks of platform consolidation
AI will enable more people to pursue their passions and start businesses by reducing barriers to entry
Explanation
Bhutani believes AI will help people complete actions they previously couldn’t due to lack of expertise or time, making them stronger versions of what they want to achieve. This should enable more people to pursue their passions and bring ideas to market faster and better, assuming an open web infrastructure exists.
Evidence
Historical pattern of technology innovation helping humans complete actions that previously required more expertise or time
Major discussion point
Economic Impact and Job Creation
Topics
Economic | Development | Future of work
Agreed with
– Malte Kosub
– Helena Leurent
Agreed on
The future internet presents both opportunities for small businesses and risks of platform consolidation
Technology should help small players compete more effectively with large companies, not consolidate power
Explanation
Bhutani expresses optimism that technology’s true purpose is to help small players compete more effectively with large players, and this has been improving over time. He emphasizes that if AI reaches its true purpose, it should enhance this competitive dynamic even further rather than consolidating power among a few companies.
Evidence
Current observation that small businesses can compete better today because of technology; GoDaddy’s experience serving small businesses globally
Major discussion point
Competition and Market Structure
Topics
Economic | Development
Disagreed with
– Helena Leurent
Disagreed on
Approach to ensuring fair competition in AI-driven internet
Malte Kosub
Speech speed
159 words per minute
Speech length
1036 words
Speech time
390 seconds
The internet will shift from direct brand interaction to AI assistants owning the end-to-end experience
Explanation
Kosub explains that while direct brand access and platform purchases may remain similar with changed interfaces, search and discovery will change dramatically. Personal assistants like ChatGPT and Gemini will own the entire customer experience end-to-end, becoming powerful horizontal platforms that can handle everything from e-commerce to travel to insurance.
Evidence
Analysis of three current interaction methods: direct homepage visits, advertisements, and platform purchases like Amazon or Booking.com
Major discussion point
The Future Structure and Evolution of the Internet
Topics
Economic | Infrastructure
Agreed with
– Aman Bhutani
– Arjun Prakash
Agreed on
The internet is undergoing rapid and fundamental transformation driven by AI agents
Content creators need new compensation mechanisms when their content is consumed through conversational interfaces
Explanation
Kosub identifies a critical challenge where content creators face difficulties when their content is surfaced through conversational AI interfaces without driving customers to their homepages or apps. He emphasizes that rules need to be established to ensure content creators are compensated when their content is consumed through these new interfaces.
Evidence
OpenAI’s recent launch of advertising concepts; observation that 70% of Google search clicks already go to the first three results
Major discussion point
Business Models and Monetization in the AI-Driven Internet
Topics
Economic | Legal and regulatory | Intellectual property rights
Large enterprises will prefer consumption-based models to maintain control over their customer experience
Explanation
Kosub argues that while outcome-based pricing works for clearly defined vertical use cases, large enterprises will continue preferring consumption-based models because they want to own the customer experience. He gives an example where a company might want longer conversations to better understand customers, which creates more compute costs but aligns with their business goals.
Evidence
Example of enterprise wanting 10-minute conversations to better understand customers, even if it increases compute costs
Major discussion point
Business Models and Monetization in the AI-Driven Internet
Topics
Economic
Agreed with
– Arjun Prakash
Agreed on
Business models must evolve from input-based to outcome-based pricing
Disagreed with
– Arjun Prakash
Disagreed on
Pricing models for enterprise AI services
Transparency and clear guardrails are essential for users to understand what data is used and what actions are taken
Explanation
Kosub emphasizes that users must know what data is stored and used, what actions are being taken on their behalf, and there need to be clear rules about what agents can do without real-time human oversight. He notes that these rules currently don’t exist but need to be established.
Major discussion point
Technical Standards and Accountability for AI Agents
Topics
Privacy and data protection | Legal and regulatory
Agreed with
– Aman Bhutani
– Helena Leurent
– Arjun Prakash
Agreed on
Transparency and accountability are essential for AI agent systems
There are parallel dynamics of horizontal platforms consolidating power while it becomes easier to start new businesses
Explanation
Kosub identifies two simultaneous trends: personal assistants like Gemini becoming powerful horizontal platforms that control multiple industries, and the increasing ease of starting businesses with new technology. He notes discussions about the potential for the first billion-dollar company created by a single person.
Evidence
Discussion of potential billion-dollar single-person companies; observation that it’s easier than ever to start a business
Major discussion point
Competition and Market Structure
Topics
Economic | Development
Agreed with
– Aman Bhutani
– Helena Leurent
Agreed on
The future internet presents both opportunities for small businesses and risks of platform consolidation
Preventing a few platforms from controlling internet traffic is crucial for maintaining horizontal competition
Explanation
Kosub warns that while technology makes business creation easier, there’s a risk of two or three platforms controlling the internet and traffic flow. He emphasizes that preventing this concentration of control is essential for maintaining the horizontal competitive dynamic that benefits small businesses.
Major discussion point
Competition and Market Structure
Topics
Economic | Legal and regulatory
Disagreed with
– Aman Bhutani
Disagreed on
Effectiveness of technical standards versus market forces in ensuring internet openness
Helena Leurent
Speech speed
172 words per minute
Speech length
1481 words
Speech time
514 seconds
Consumer rights have not been prioritized in internet design, and this pattern risks repeating with AI
Explanation
Leurent argues that consumer rights were not at the forefront when designing the current web, and there’s a risk this will continue with the new AI-driven internet. She emphasizes the need to shift power dynamics to give consumers more control and representation in the marketplace, especially given that 80% of people have been scammed and only 1 in 4 get redress.
Evidence
80% of people have been scammed in some way, with only 1 in 4 receiving any form of redress; examples from Korea flagging AI washing and Brazil fighting for data rights
Major discussion point
Consumer Rights, Privacy, and Data Ownership
Topics
Human rights | Consumer protection | Privacy and data protection
Transparency, safety, security, privacy, and fairness must be foundational principles for the future internet
Explanation
Leurent outlines essential principles for the future internet, emphasizing that transparency is crucial for people to judge and understand AI systems. She argues that without visibility into how systems work, individuals and NGOs cannot explore, understand, or seek redress when things go wrong.
Evidence
Current lack of transparency makes it impossible for individuals or NGOs to explore and understand systems or get redress when problems occur
Major discussion point
Consumer Rights, Privacy, and Data Ownership
Topics
Human rights | Privacy and data protection | Consumer protection
Agreed with
– Aman Bhutani
– Malte Kosub
– Arjun Prakash
Agreed on
Transparency and accountability are essential for AI agent systems
Data ownership models should return value to the people who create the data
Explanation
Leurent advocates for models where people who create data maintain ownership and benefit from licensing agreements that bring value back to them. She cites examples of small-scale implementations that could be scaled up to create more equitable data relationships.
Evidence
Example from New Zealand’s Tehiku media company as a model for data ownership and value return
Major discussion point
Consumer Rights, Privacy, and Data Ownership
Topics
Privacy and data protection | Economic | Human rights
Personalized pricing enabled by AI could work against consumers unless properly designed with accountability
Explanation
Leurent warns that AI-enabled personalized pricing can result in consumers being targeted for higher prices for identical products. She emphasizes that without proper design including consumer-focused agents and easy switching capabilities, this pricing model could disadvantage consumers rather than benefit them.
Evidence
Current examples of personalized pricing working against consumers, though difficult to measure or detect
Major discussion point
Consumer Rights, Privacy, and Data Ownership
Topics
Consumer protection | Economic
Innovation in critical areas like food, health, and energy requires diverse companies and different internet engagement models
Explanation
Leurent argues that meaningful innovation in essential sectors like food systems, preventive health, and energy requires diverse companies and investment models that go beyond just competition structure. She emphasizes that a different model of internet engagement with consumers could drive the innovations that matter most to people’s daily lives.
Evidence
Examples of needed innovation in food environments, preventive health, and energy systems
Major discussion point
Competition and Market Structure
Topics
Development | Economic | Sustainable development
Agreed with
– Aman Bhutani
– Malte Kosub
Agreed on
The future internet presents both opportunities for small businesses and risks of platform consolidation
New opportunities will arise in sectors requiring human interpretation of AI results, particularly in healthcare and wellness
Explanation
Leurent predicts that while AI will replace easily automated tasks, new job opportunities will emerge in areas requiring human interpretation of AI results. She specifically highlights healthcare and wellness, where AI can help with prevention and wellness monitoring, but human contact and interpretation remain essential.
Evidence
Current healthcare spending focuses little on disease prevention despite pressure on health systems; need for human contact in health and wellness applications
Major discussion point
Economic Impact and Job Creation
Topics
Future of work | Development
Both grassroots innovation and changes to large tech companies are necessary for a fair competitive landscape
Explanation
Leurent argues that creating a better internet requires both horizontal grassroots efforts and vertical changes to large tech companies. She emphasizes that her organization works on both levels – challenging companies through various means while also engaging in collaborative building processes to get ahead of problems rather than just fighting them.
Evidence
Examples of consumer organization tactics including class action, campaigns, boycotts, and collaborative building efforts
Major discussion point
Competition and Market Structure
Topics
Economic | Legal and regulatory | Human rights
Disagreed with
– Aman Bhutani
Disagreed on
Approach to ensuring fair competition in AI-driven internet
Arjun Prakash
Speech speed
197 words per minute
Speech length
1569 words
Speech time
475 seconds
New interaction patterns beyond browsers will emerge, with voice and direct intent-based interfaces
Explanation
Prakash argues that the industry needs to rethink internet engagement as AI models become more utility-like. He predicts that value creation will come from new interaction patterns that allow engagement with intelligence in different ways, including voice interfaces, direct thought understanding, and robotics, moving beyond the traditional browser-based search experience.
Evidence
Historical dominance of browser-based search experiences; emerging possibilities in voice, thought understanding, and robotics
Major discussion point
The Future Structure and Evolution of the Internet
Topics
Infrastructure | Economic
Agreed with
– Aman Bhutani
– Malte Kosub
Agreed on
The internet is undergoing rapid and fundamental transformation driven by AI agents
Models will become utilities while value creation will come from new interaction patterns and integration capabilities
Explanation
Prakash predicts that AI models will increasingly function as utilities, with consumer value creation focusing on whoever masters new interaction patterns and distribution. For enterprises, the key will be solving integration challenges, as models don’t understand company-specific data and processes needed for taking actions within business contexts.
Evidence
Models lack understanding of enterprise-specific data and business processes; need for new software and infrastructure to bridge this gap
Major discussion point
The Future Structure and Evolution of the Internet
Topics
Economic | Infrastructure
Outcome-based pricing models will replace input-based models, with payment tied to actual results achieved
Explanation
Prakash argues for a shift from traditional time-and-materials pricing to outcome-based models where payment is tied to actual results. He explains that in the new action economy where AI takes measurable actions, it becomes possible to price based on outputs like containment rates or sales percentages rather than inputs like labor hours.
Evidence
Example of customer experience solutions being priced based on containment rates or sales percentages; historical systems integrator model of ‘labor plus’ pricing
Major discussion point
Business Models and Monetization in the AI-Driven Internet
Topics
Economic
Agreed with
– Malte Kosub
Agreed on
Business models must evolve from input-based to outcome-based pricing
Disagreed with
– Malte Kosub
Disagreed on
Pricing models for enterprise AI services
Accountability requires both holding humans responsible for agent intent and ensuring AI alignment with that intent
Explanation
Prakash emphasizes that as AI agents scale intelligence and take actions on behalf of humans, there must be accountability mechanisms for both the humans providing intent and governance ensuring AI alignment. He warns that failure in either area – misaligned technology or unaccountable humans – creates significant risks similar to those seen with social media.
Evidence
Comparison to social media problems where people could act with mass reach without accountability
Major discussion point
Technical Standards and Accountability for AI Agents
Topics
Legal and regulatory | Human rights
Agreed with
– Aman Bhutani
– Malte Kosub
– Helena Leurent
Agreed on
Transparency and accountability are essential for AI agent systems
The value of expertise will increase as specialists can offer knowledge for new forms of data labeling and consultation
Explanation
Prakash predicts that expertise in fields like mathematics and healthcare will become increasingly valuable as specialists can offer their knowledge in exchange for new forms of data labeling and AI training. This creates an emerging economy where deep domain knowledge becomes a tradeable commodity in AI development.
Evidence
Current trend of experts in mathematics and healthcare providing expertise for data labeling
Major discussion point
Economic Impact and Job Creation
Topics
Future of work | Economic
A new economy will emerge for people skilled at describing what they want rather than following instructions
Explanation
Prakash argues that the economic model will shift from rewarding people who follow instructions to valuing those who can effectively describe desired outcomes. He suggests this requires re-education, as current educational and economic systems have incentivized instruction-following, but good systems thinkers will be able to accomplish much more with AI assistance.
Evidence
Current educational and economic systems have historically incentivized following instructions rather than systems thinking
Major discussion point
Economic Impact and Job Creation
Topics
Future of work | Economic | Online education
Current incentive systems need restructuring to ensure AI’s benefits are inclusive rather than concentrated
Explanation
Prakash expresses concern that current incentive structures are leading toward a few companies creating most of the value from AI, even as total economic output grows. He emphasizes the need to rethink economic models to create inclusive growth, as the value of knowledge work becomes scalable through AI powered by electricity.
Evidence
Observation that knowledge and intelligence work in enterprises is becoming scalable with electricity-powered AI
Major discussion point
Economic Impact and Job Creation
Topics
Economic | Development | Future of work
Nicholas Thompson
Speech speed
208 words per minute
Speech length
2143 words
Speech time
618 seconds
There’s a trade-off between utility and privacy as agents require more personal data to be effective
Explanation
Thompson highlights a fundamental tension where AI agents become more useful when given access to comprehensive personal data including emails, interests, and potentially brain scans, but this creates massive new attack vectors. He questions how to balance the utility gains against the privacy and security risks, especially when unscrupulous agents might sell data to third parties.
Evidence
Examples of data types agents might need: emails, interests, brain scans; potential for data being sold to third parties by unscrupulous agents
Major discussion point
Consumer Rights, Privacy, and Data Ownership
Topics
Privacy and data protection | Cybersecurity
Audience
Speech speed
244 words per minute
Speech length
85 words
Speech time
20 seconds
Questions about audience engagement with new job creation opportunities in the AI economy
Explanation
An audience member asked about what new economies or job types might emerge from the new internet architecture, drawing parallels to how the previous internet created the gig economy and various new job categories. They were curious about both macro and micro economic opportunities that could arise.
Evidence
Historical example of the gig economy and various jobs created by the previous internet
Major discussion point
Economic Impact and Job Creation
Topics
Future of work | Economic
Agreements
Agreement points
The internet is undergoing rapid and fundamental transformation driven by AI agents
Speakers
– Aman Bhutani
– Malte Kosub
– Arjun Prakash
Arguments
Internet is changing rapidly with new protocols and interaction methods every few weeks
Agent traffic will soon exceed human traffic, fundamentally changing how we interact with the web
The internet will shift from direct brand interaction to AI assistants owning the end-to-end experience
New interaction patterns beyond browsers will emerge, with voice and direct intent-based interfaces
Summary
All speakers agree that AI agents are fundamentally transforming how people interact with the internet, with agent traffic potentially exceeding human traffic and new interaction paradigms emerging beyond traditional browsers.
Topics
Infrastructure | Economic
Transparency and accountability are essential for AI agent systems
Speakers
– Aman Bhutani
– Malte Kosub
– Helena Leurent
– Arjun Prakash
Arguments
Agent Name Service standard can provide authentication, security certificates, and immutable audit logs for agent actions
Transparency and clear guardrails are essential for users to understand what data is used and what actions are taken
Transparency, safety, security, privacy, and fairness must be foundational principles for the future internet
Accountability requires both holding humans responsible for agent intent and ensuring AI alignment with that intent
Summary
All speakers emphasize the critical need for transparency, accountability, and clear standards to govern AI agent behavior, though they propose different technical and regulatory approaches.
Topics
Legal and regulatory | Privacy and data protection | Infrastructure
Business models must evolve from input-based to outcome-based pricing
Speakers
– Malte Kosub
– Arjun Prakash
Arguments
Large enterprises will prefer consumption-based models to maintain control over their customer experience
Outcome-based pricing models will replace input-based models, with payment tied to actual results achieved
Summary
Both speakers agree that traditional time-and-materials pricing models will shift toward outcome-based approaches, though they differ on whether enterprises will prefer consumption-based or pure outcome-based models.
Topics
Economic
The future internet presents both opportunities for small businesses and risks of platform consolidation
Speakers
– Aman Bhutani
– Malte Kosub
– Helena Leurent
Arguments
The internet has historically helped small businesses by reducing startup costs and improving discoverability
AI will enable more people to pursue their passions and start businesses by reducing barriers to entry
There are parallel dynamics of horizontal platforms consolidating power while it becomes easier to start new businesses
Innovation in critical areas like food, health, and energy requires diverse companies and different internet engagement models
Summary
Speakers agree that while AI makes it easier to start businesses, there’s a simultaneous risk of platform consolidation that could undermine small business opportunities.
Topics
Economic | Development
Similar viewpoints
Both emphasize the importance of maintaining openness and user rights in the evolving internet, though Bhutani focuses on technical infrastructure while Leurent emphasizes consumer protection.
Speakers
– Aman Bhutani
– Helena Leurent
Arguments
An ‘agentic open web’ should allow agents to roam freely while maintaining security and accountability
Consumer rights have not been prioritized in internet design, and this pattern risks repeating with AI
Topics
Infrastructure | Human rights | Consumer protection
Both recognize that current content monetization models are threatened by AI intermediation and require new mechanisms to compensate creators.
Speakers
– Malte Kosub
– Aman Bhutani
Arguments
Content creators need new compensation mechanisms when their content is consumed through conversational interfaces
Traditional advertising and subscription models face disruption as AI intermediates between users and content
Topics
Economic | Legal and regulatory
Both see opportunities for human expertise to remain valuable in the AI economy, particularly in specialized domains requiring interpretation and human judgment.
Speakers
– Arjun Prakash
– Helena Leurent
Arguments
The value of expertise will increase as specialists can offer knowledge for new forms of data labeling and consultation
New opportunities will arise in sectors requiring human interpretation of AI results, particularly in healthcare and wellness
Topics
Future of work | Development
Unexpected consensus
Need for technical standards and infrastructure to govern AI agents
Speakers
– Aman Bhutani
– Helena Leurent
– Arjun Prakash
Arguments
Agent Name Service standard can provide authentication, security certificates, and immutable audit logs for agent actions
Transparency, safety, security, privacy, and fairness must be foundational principles for the future internet
Accountability requires both holding humans responsible for agent intent and ensuring AI alignment with that intent
Explanation
Unexpected because a CEO of a major tech company (Bhutani), a consumer rights advocate (Leurent), and an AI startup CEO (Prakash) all agreed on the need for robust technical standards and accountability mechanisms, despite their different perspectives and interests.
Topics
Infrastructure | Legal and regulatory | Privacy and data protection
Concern about platform consolidation threatening competition
Speakers
– Aman Bhutani
– Malte Kosub
– Helena Leurent
Arguments
Technology should help small players compete more effectively with large companies, not consolidate power
Preventing a few platforms from controlling internet traffic is crucial for maintaining horizontal competition
Both grassroots innovation and changes to large tech companies are necessary for a fair competitive landscape
Explanation
Unexpected because business leaders from established companies (Bhutani from GoDaddy, Kosub from Parloa) aligned with a consumer advocate (Leurent) in expressing concern about platform monopolization, suggesting broad recognition of this threat across different stakeholder groups.
Topics
Economic | Legal and regulatory
Overall assessment
Summary
The speakers demonstrated remarkable consensus on key structural challenges facing the internet’s evolution, including the need for transparency and accountability in AI systems, the disruption of traditional business models, and the dual nature of AI as both enabling small business innovation and potentially consolidating platform power.
Consensus level
High level of consensus on fundamental principles and challenges, with disagreements mainly on implementation details rather than core issues. This suggests a mature understanding of the stakes involved and potential for collaborative solutions across different stakeholder groups including technology companies, consumer advocates, and AI developers.
Differences
Different viewpoints
Effectiveness of technical standards versus market forces in ensuring internet openness
Speakers
– Aman Bhutani
– Malte Kosub
Arguments
Agent Name Service standard can provide authentication, security certificates, and immutable audit logs for agent actions
Preventing a few platforms from controlling internet traffic is crucial for maintaining horizontal competition
Summary
Bhutani advocates for implementing technical standards like Agent Name Service to maintain openness through infrastructure solutions, while Kosub focuses on preventing platform monopolization through market structure controls. Bhutani believes technical standards will naturally create adoption through elegance and utility, while Kosub emphasizes the need for active prevention of traffic control concentration.
Topics
Infrastructure | Legal and regulatory | Economic
Pricing models for enterprise AI services
Speakers
– Arjun Prakash
– Malte Kosub
Arguments
Outcome-based pricing models will replace input-based models, with payment tied to actual results achieved
Large enterprises will prefer consumption-based models to maintain control over their customer experience
Summary
Prakash argues for a broad shift to outcome-based pricing across enterprise AI services, believing this creates better alignment and efficiency. Kosub disagrees, arguing that large enterprises will continue preferring consumption-based models because they want to control the customer experience and optimize for their own defined outcomes, even if it costs more.
Topics
Economic
Approach to ensuring fair competition in AI-driven internet
Speakers
– Helena Leurent
– Aman Bhutani
Arguments
Both grassroots innovation and changes to large tech companies are necessary for a fair competitive landscape
Technology should help small players compete more effectively with large companies, not consolidate power
Summary
Leurent advocates for a dual approach requiring both grassroots efforts and direct challenges to large tech companies through regulation and consumer action. Bhutani takes a more technology-optimistic view, believing that if technology fulfills its purpose correctly, it will naturally help small players compete without requiring as much regulatory intervention.
Topics
Economic | Legal and regulatory | Human rights
Unexpected differences
Role of technical standards in solving governance problems
Speakers
– Aman Bhutani
– Helena Leurent
Arguments
Agent Name Service standard can provide authentication, security certificates, and immutable audit logs for agent actions
Transparency, safety, security, privacy, and fairness must be foundational principles for the future internet
Explanation
While both speakers want accountability and transparency, Bhutani believes technical standards can solve governance problems automatically, while Leurent questions who controls these systems and emphasizes the need for consumer representation in design. This disagreement is unexpected because they share similar values but have fundamentally different views on whether technical solutions can address social and political problems.
Topics
Infrastructure | Human rights | Legal and regulatory
Optimism versus caution about AI’s impact on small businesses
Speakers
– Aman Bhutani
– Arjun Prakash
Arguments
AI will enable more people to pursue their passions and start businesses by reducing barriers to entry
Current incentive systems need restructuring to ensure AI’s benefits are inclusive rather than concentrated
Explanation
Both speakers are generally pro-technology, but Bhutani expresses strong optimism that AI will naturally help small businesses compete better, while Prakash warns that current incentive structures are leading toward concentration of benefits among few companies. This disagreement is unexpected given their similar backgrounds in technology leadership.
Topics
Economic | Development | Future of work
Overall assessment
Summary
The discussion revealed moderate disagreements primarily around implementation approaches rather than fundamental goals. Key areas of disagreement included the effectiveness of technical standards versus regulatory approaches, pricing models for enterprise services, and the level of intervention needed to ensure fair competition.
Disagreement level
The disagreement level was moderate and constructive. Speakers generally shared similar values around openness, fairness, and competition, but differed on mechanisms to achieve these goals. This suggests that while there are different perspectives on implementation, there is substantial common ground for collaborative solutions. The disagreements reflect different professional backgrounds and expertise areas rather than fundamental ideological conflicts, which could facilitate productive dialogue and compromise solutions.
Partial agreements
Partial agreements
Similar viewpoints
Both emphasize the importance of maintaining openness and user rights in the evolving internet, though Bhutani focuses on technical infrastructure while Leurent emphasizes consumer protection.
Speakers
– Aman Bhutani
– Helena Leurent
Arguments
An ‘agentic open web’ should allow agents to roam freely while maintaining security and accountability
Consumer rights have not been prioritized in internet design, and this pattern risks repeating with AI
Topics
Infrastructure | Human rights | Consumer protection
Both recognize that current content monetization models are threatened by AI intermediation and require new mechanisms to compensate creators.
Speakers
– Malte Kosub
– Aman Bhutani
Arguments
Content creators need new compensation mechanisms when their content is consumed through conversational interfaces
Traditional advertising and subscription models face disruption as AI intermediates between users and content
Topics
Economic | Legal and regulatory
Both see opportunities for human expertise to remain valuable in the AI economy, particularly in specialized domains requiring interpretation and human judgment.
Speakers
– Arjun Prakash
– Helena Leurent
Arguments
The value of expertise will increase as specialists can offer knowledge for new forms of data labeling and consultation
New opportunities will arise in sectors requiring human interpretation of AI results, particularly in healthcare and wellness
Topics
Future of work | Development
Takeaways
Key takeaways
The internet is rapidly evolving toward an agent-driven model where AI agents will soon generate more traffic than humans, fundamentally changing how users interact with brands and content
Business models must shift from input-based pricing to outcome-based pricing, where payment is tied to actual results achieved rather than resources consumed
Consumer rights, transparency, and data ownership need to be prioritized in the design of the new internet architecture to avoid repeating past mistakes
Technical standards like Agent Name Service can provide accountability and security for AI agents by linking them to domain names with authentication and audit trails
The future internet’s success depends on maintaining an ‘agentic open web’ that preserves opportunities for small businesses rather than consolidating power among a few large platforms
New job categories will emerge focused on expertise provision, systems thinking, and human interpretation of AI results, particularly in healthcare and wellness sectors
Traditional advertising and subscription models face disruption as AI intermediates between users and content, requiring new compensation mechanisms for content creators
Resolutions and action items
GoDaddy is implementing and championing the Agent Name Service standard as an open protocol for agent authentication and accountability
The panel agreed that both grassroots innovation (horizontal race) and changes to large tech companies (vertical race) are necessary for creating a fair competitive landscape
Content creators and traffic aggregators need to evolve their fundamental relationship as AI changes how content is consumed and distributed
Unresolved issues
How advertising will function in an agentic world where personal agents mediate between users and brands
How subscription models will work when agents aggregate and summarize content from multiple sources
What specific rules and compensation mechanisms should govern content usage in conversational AI interfaces
How to prevent AI agents from developing perverse incentives (like recommending higher-priced items for commission)
Whether the trend toward centralization or decentralization will ultimately prevail in the AI-driven internet
How to ensure AI benefits are distributed inclusively rather than concentrated among a few companies
What specific governance mechanisms will hold humans accountable for their agents’ actions at scale
Suggested compromises
Balancing utility and privacy by implementing transparency requirements and clear guardrails for what agents can do without human oversight
Using outcome-based pricing for clearly defined vertical use cases while maintaining consumption-based models for large enterprises that want to control their customer experience
Adopting open standards like Agent Name Service that provide accountability while allowing anyone to implement and participate
Creating data ownership models that return value to data creators while still enabling AI innovation and business development
Restructuring economic incentive systems to ensure AI creates an ‘inclusive boom’ that benefits small businesses and individual entrepreneurs
Thought provoking comments
But these toll booths also depend on the internet. We have great models in the world, but they have drunken the internet to sell it back to us.
Speaker
Aman Bhutani
Reason
This metaphor brilliantly captures the fundamental tension in AI’s relationship with the internet – how AI models consume existing web content to create products that potentially bypass the original sources. The visceral imagery of ‘drinking’ the internet makes abstract concepts tangible and memorable.
Impact
This comment reframed the entire discussion from technical implementation to fundamental power dynamics. It shifted the conversation toward questions of fairness and sustainability, with Thompson immediately picking up on the metaphor and other panelists building on this framework throughout the discussion.
So, they become the new platforms, but way more powerful platforms because those will be horizontal platforms, right? It’s not just for e-commerce, not just for travel or an insurance broker, they can do everything.
Speaker
Malte Kosub
Reason
This insight identifies a crucial difference between current platforms (which are typically vertical/specialized) and AI agents (which are horizontal/universal). This distinction has profound implications for market concentration and competition.
Impact
This comment introduced the critical concept of horizontal vs. vertical platforms that became a recurring theme. It helped the panel understand why AI platforms might be more monopolistic than previous internet platforms, leading to deeper discussions about market concentration and small business survival.
Models are increasingly going to become utilities. Consumer is going to probably gravitate around whoever figures out interaction and distribution by corollary. And enterprise is probably going to gravitate around whoever figures out the integration story.
Speaker
Arjun Prakash
Reason
This comment provides a strategic framework for understanding where value will be captured in the AI economy, moving beyond the models themselves to the interfaces and integrations that make them useful.
Impact
This shifted the discussion from focusing on AI models as the main value driver to examining the ecosystem around them. It led to deeper exploration of enterprise integration challenges and consumer interface design, helping other panelists think more strategically about their positioning.
80% of people at the very least have been scammed in some way, 1 in 4 never get any sort of redress… it’s about that power. You say they’re going to own the data. Well, how do we take back some of that power and make that about consumer power and consumer voice and consumer representation.
Speaker
Helena Leurent
Reason
This comment grounds the technical discussion in real human consequences, providing concrete statistics about current internet harms while challenging the assumption that data ownership by companies is inevitable.
Impact
This intervention brought consumer protection from the periphery to the center of the conversation. It forced other panelists to address accountability and transparency, leading to substantive discussions about technical solutions like Agent Name Service and outcome-based pricing models.
When an agent comes onto the internet, it should have these things, and as GoDaddy, we actually took that spec and we enhanced it and we implemented it… there is literally no way to do something anonymously, which is what happened with the internet.
Speaker
Aman Bhutani
Reason
This is the most concrete technical solution proposed in the discussion, offering a specific standard (Agent Name Service) that could address many of the accountability and transparency concerns raised by other panelists.
Impact
This comment provided a tangible solution to abstract problems, shifting the discussion from problem identification to solution evaluation. It sparked detailed technical discussion and allowed other panelists to engage with specific implementation questions rather than just theoretical concerns.
80% of people have a digital bank account now but only 54% of people in the world can access emergency funds within a month… we’ve measured how many people have access… but we haven’t measured does that actually help at the end.
Speaker
Helena Leurent
Reason
This comment challenges the panel to think beyond access metrics to actual outcomes, using a concrete example that illustrates the gap between technological capability and real-world benefit.
Impact
This observation reinforced the earlier discussion about outcome-based pricing and measurement, helping to crystallize why traditional metrics might be insufficient for evaluating the success of new internet architectures. It supported the panel’s emerging consensus around outcome-based approaches.
Overall assessment
These key comments fundamentally shaped the discussion by introducing powerful conceptual frameworks that the panel returned to repeatedly. Bhutani’s ‘drinking the internet’ metaphor established the central tension around value extraction vs. creation. Kosub’s horizontal platform insight provided a strategic lens for understanding market dynamics. Prakash’s utility framework helped identify where future value would be captured. Leurent’s consumer protection statistics grounded technical discussions in human consequences, while her outcomes-focused critique challenged traditional success metrics. Bhutani’s Agent Name Service proposal offered the most concrete technical solution. Together, these comments elevated the conversation from abstract speculation to substantive analysis of specific challenges and solutions, creating a coherent narrative about power, accountability, and the future structure of the internet.
Follow-up questions
How fast will agent traffic surpass human traffic on the internet?
Speaker
Aman Bhutani
Explanation
This is a critical timing question for understanding when the fundamental shift in internet usage will occur and how quickly businesses need to adapt their strategies.
Will there even be an internet as we know it today?
Speaker
Nicholas Thompson
Explanation
This fundamental question about the future structure of the internet needs exploration to understand whether current web infrastructure will remain relevant.
How will the distribution of attention work between personal assistants like ChatGPT and direct brand interaction?
Speaker
Malte Kosub
Explanation
Understanding this distribution is crucial for businesses to develop appropriate strategies for customer engagement in an AI-driven world.
Who else besides GoDaddy is implementing the Agent Name Service standard?
Speaker
Nicholas Thompson
Explanation
The effectiveness of this proposed solution depends on widespread adoption, making it important to track which other major players are implementing it.
How will advertising work in an agentic world where personal agents retrieve information?
Speaker
Nicholas Thompson
Explanation
This is a critical business model question affecting the entire digital advertising ecosystem and media companies’ revenue streams.
How will subscription models work when agents aggregate content from multiple sources?
Speaker
Nicholas Thompson
Explanation
This affects the sustainability of content creators and subscription-based businesses in an AI-mediated information environment.
What are the specific new jobs and micro-economies that will emerge from this new internet architecture?
Speaker
Audience member
Explanation
Understanding future employment opportunities is crucial for workforce planning and economic policy as AI transforms the internet.
How can value-based pricing for AI agents be implemented without creating perverse incentives?
Speaker
Nicholas Thompson
Explanation
This addresses the challenge of aligning AI agent incentives with user interests when agents are compensated based on transaction values.
How do we prevent two or three platforms from controlling the entire internet?
Speaker
Malte Kosub
Explanation
This is a critical competition and market structure question that affects innovation and consumer choice in the future internet.
How can we establish rules for compensating content creators when their content is consumed through conversational AI interfaces?
Speaker
Malte Kosub
Explanation
This is essential for maintaining a sustainable content creation ecosystem as AI changes how information is accessed and consumed.
How can we measure and prevent personalized pricing that works against consumers in an agent-mediated economy?
Speaker
Helena Leurent
Explanation
This addresses consumer protection concerns about AI agents potentially being exploited to charge different prices to different consumers.
What ownership models can bring more people into the AI ecosystem to prevent wealth concentration?
Speaker
Arjun Prakash
Explanation
This explores how to structure the AI economy to be more inclusive and prevent excessive concentration of benefits among a few players.
Disclaimer: This is not an official session record. DiploAI generates these resources from audiovisual recordings, and they are presented as-is, including potential errors. Due to logistical challenges, such as discrepancies in audio/video or transcripts, names may be misspelled. We strive for accuracy to the best of our ability.
Related event

World Economic Forum Annual Meeting 2026 at Davos
19 Jan 2026 08:00h - 23 Jan 2026 18:00h
Davos, Switzerland
