Retail Media Breakfast Club

What happens when your personal AI agent starts selling you things? I’ve spent the last decade analyzing the retail media ecosystem, but I’m increasingly fascinated by what happens when advertising meets AI. In this episode, I’m sharing the inaugural episode of my new show, AdGentic, where I make a prediction that might be a little controversial: personal AI agents will ultimately be monetized through advertising, not subscriptions or transaction fees.

We’ve seen this story play out before with Google, Facebook, WhatsApp, and Amazon. Platforms start by delivering a great consumer experience, and eventually, the business model kicks in. But AI agents introduce a new twist: they know an extraordinary amount about us, what we want, and what we’re trying to accomplish. Could that intelligence lead to more relevant, genuinely useful advertising? Or will paid placements and hidden commercial incentives undermine the trust we place in our AI assistants?

I break down the economics behind AI agent monetization, explore the ad formats that could emerge from retail media and other digital advertising models, and share what I’d like to see from the next generation of AI advertising. Because I believe ads are coming to personal AI agents. The real question is whether we can make them work for consumers.

This episode is sponsored by GrowthLoop

Timeline

01:20 – Why I believe ads are coming to personal AI agents, and why advertising will win over subscriptions and fees.
03:03 – What Google, Facebook, WhatsApp, and Amazon reveal about the evolution of platform monetization.
05:15 – The rise of ensh*ttification: how platforms gradually shift value from users toward advertisers and themselves.
06:30 – The three consumer app business models: subscriptions, transaction fees, and advertising.
08:23 – Why subscriptions and transaction fees create problems with incentives, and why retail media offers a useful lens.
11:30 – Emerging AI ad formats, from sponsored prompts and sponsored agents to rewarded ads and off-site advertising.
14:20 – The risk of hidden paid rankings and biased AI recommendations, and why transparency matters.

Links & Resources

What is Retail Media Breakfast Club?

10 minutes of expert insights every weekday. Your morning ritual for staying ahead in retail media.

Intro to AdGentic episode for syndicating on RMBC
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[00:00:00] Kiri Masters - Intro: Good morning and welcome to Retail Media Breakfast Club. Today, I have a special treat for you. I have launched a new podcast and newsletter called Adgentic, which is part of the Refi Buy Media Network. I've [00:00:15] talked about it a little bit on the show, but today I'm going to air our first ever episode of Adgentic, which is a little spicy take on AI agents and why I believe

[00:00:28] They will be [00:00:30] monetized through ads, not fees, not a take rate as a lot of them are claiming

[00:00:36] right now will be their future path to monetization

[00:00:40] So with the permission of Refyby Media Network, we're gonna play the [00:00:45] entire inaugural episode of AdGentric. And just a language warning on this one. The term I use is included in the dictionary

[00:00:55] But I just wanted to give you a heads up anyway.

[00:00:57]

[00:00:59] Kiri Masters - Intro: All right, so we're [00:01:00] gonna roll Adgentic, and as a reminder, you can listen to that podcast anywhere you're listening to it right now, on podcast apps, on YouTube, and you can also subscribe to the Substack or LinkedIn newsletter as [00:01:15] well.

[00:01:15] We'll link up to everything in the show notes. And now please enjoy Add Gentic

[00:01:20] Kiri Masters: Look at this, a personal AI agent doing my busy work. No banners, no sponsored results, nothing for sale. [00:01:30] Enjoy it, because it won't last. Ads are coming to personal AI agents, and in this video I'll show you why and what those ads could look like[00:01:45]

[00:01:52] Welcome to Adgentic, the series about advertising in the agentic era. I'm Kiri Masters, [00:02:00] someone who has spent the last 10 years analyzing the retail media ecosystem. But now I'm captivated by this whole new era of advertising, ads in AI. Let's go. [00:02:15] So like everyone else it seems, I recently got caught up in the euphoria of setting up my own personal AI agent and letting it loose on my busy work, email, scheduling, the usual stuff, and [00:02:30] it was magical.

[00:02:31] And at first I put that down to the thrill of getting these chores off of my plate, but then it dawned on me just how clean it all really was, how dutiful the AI [00:02:45] was. It only seemed to have my best interests in mind, and then I clocked it Part of that feeling came from what was missing, ads. No clutter, no distractions, no reminder that [00:03:00] somebody somewhere wants to sell me something.

[00:03:03] And I'm not the only one feeling it. Agents like Meta's Muse, OpenAI's Dots, and a startup called Instinct have all launched recently to a lot of [00:03:15] love. But here's the thing, every big consumer platform started out exactly like this. Let's start with Google. In 1998, its founders, Sergey and Larry, wrote the academic paper describing their search [00:03:30] engine, and in an appendix they warned that ad-funded search engines would be, quote, "inherently biased towards the advertisers."

[00:03:41] Two years later, Google launched AdWords, and at first [00:03:45] the ads sat off to the side, clearly separate. Today, of course, they sit at the top of the page with a tiny little sponsored label. Next up, Facebook. Now Facebook skipped the no ads promise [00:04:00] and went straight into treating ads as inevitable. Mark Zuckerberg on 60 Minutes back in 2008 said, "There have to be ads either way because we have to make money."

[00:04:12] He even pitched them as something of an upgrade for [00:04:15] the consumer experience, saying, "What would you rather see, a banner ad from Bloomingdale's or that one of your friends bought a scarf?" Now remember that scarf, we'll come back to it. And then there's WhatsApp. Co-founder Jan Koum kept [00:04:30] this note on his desk from his co-founder Brian Acton.

[00:04:34] Now Facebook bought WhatsApp in 2014, and both founders were gone within four years. And in 2025, ads arrived in WhatsApp. [00:04:45] Amazon is a slightly different story because it started as a store rather than a publisher or a media network. But in 2025, Amazon made almost $70 billion from its ad business. That is about double the [00:05:00] profit from all of its web stores combined.

[00:05:03] The store is the content The ads pay the bills, and AI is already following the script. In 2024, Sam Altman called ads a [00:05:15] last resort for OpenAI, but by early 2026, ChatGPT was showing ads to its free users. So that's the pattern, and it has a name. It's called enshittification. And yes, [00:05:30] that is a swear word, but it is also in the dictionary, so it is a real word, too.

[00:05:35] The writer Cory Doctorow first coined it back in 2022. His version goes, "First, they are good to their users, and [00:05:45] then step by step, the platform shifts the value to its advertisers and then to itself." And so the word stuck. It was named Word of the Year by the American Dialect Society. And consumers [00:06:00] resent enshittification.

[00:06:01] Of course they do. But here's where I might lose some of you. Despite all of that, advertising is still the most elegant way we have to pay for consumer [00:06:15] technology. Now, I am an advertising maximalist, and I'm with Eric Seufert on this one. He says, "Digital advertising is the most positive-sum, economically expansionary technology summoned by humanity."

[00:06:29] So let's [00:06:30] break it down. There are three main ways to pay for a consumer app. The first is subscriptions. There's a flat price whether you use it once a month or all day Second is fees, [00:06:45] a cut taken every time money changes hands, like the service fee on your food delivery. Three is ads. Now someone else pays because they want your attention.

[00:06:59] [00:07:00] And look at how most consumer apps actually make money today. Mobile games, subscriptions and/or ads. Streaming TV, subscriptions and/or ads. [00:07:15] Booking.com, fees and ads. DoorDash, fees and ads. E-commerce, increasingly ads. Social media, ads. Now, different types of users have different [00:07:30] relationships with advertising and subscriptions.

[00:07:32] Subscriptions really work when a business is paying for that subscription, but consumers paying their own way are a different animal. So how are today's [00:07:45] consumer AI agents planning to make money? Well, Meta says that Muse will be free for a generous allowance, and over time will profit by taking a small fee from transactions.

[00:07:58] OpenAI [00:08:00] launched Dots for paying subscribers only, but Sam Altman also said, "You should, of course, expect us to do a mass market product for billions of people someday." And OpenAI already runs ads in ChatGPT. [00:08:15] And Instinct, while it's free, it has raised a billion dollars, and it hasn't said anything about how it will make money.

[00:08:23] I guess they're planning on a wing and a prayer. Now, here is my problem with subscriptions and fees, [00:08:30] especially for AI agents. It comes down to incentives. Subscriptions cap out at the people who are willing to pay, and most people won't. When OpenAI announced ads, [00:08:45] about 95% of ChatGPT's weekly users were on the free plan.

[00:08:51] Fees are a sneakier trap. A fee pays the agent every time you buy something, so [00:09:00] now the agent has a reason to nudge you to buy something specific. And once merchants are competing for those sales, they will pay to get to the front of the line. Paying for a placement in front of a shopper, [00:09:15] that's retail media. Costco isn't scaling its RMN with legacy ad tech and manual solutions. It's leaning into a [00:09:30] cloud-centric composable stack. As part of the Costco Velocity Network, GrowthLoop empowers the retail media team to build audiences directly from the Data Cloud, enabling [00:09:45] faster activation, greater relevance, and better performance, all while maintaining privacy and governance standards.

[00:09:54] The result? Exceptional value and experience for Costco members [00:10:00] and better ROI for brand advertisers. Learn why the GrowthLoop Composable Commerce Media Solution was the right choice for Costco's Velocity Network. Visit [00:10:15] go.growthloop.com/breakfast. That's go.growthloop.com/breakfast

[00:10:22]

[00:10:23] Kiri Masters: Now fees, fees have a way of turning into ads. As Casey Newton [00:10:30] at Platformer put it, "It will soon be some team's job to massively increase the number of transactions." And notice Meta's language about how they're going to monetize, profit from fees [00:10:45] over time. So no one has really ruled anything out, and that's why I believe ads are coming to personal AI agents.

[00:10:53] The real question is, how shitty will it be? And this is where my eternal optimism [00:11:00] kicks in. Maybe this time we don't need to repeat the mistakes of the past. Think about why ads annoy you. Usually it's one of two things: it's not relevant to me, or it's getting in my way. [00:11:15] Now remember the scarf Plenty of us will begrudgingly admit that the ads on Instagram and TikTok are often, okay, sometimes actually helpful.

[00:11:29] An [00:11:30] AI agent that really knows you has an even better shot at getting both of those things right, the right ad at the right moment in the conversation. So far, though, ads in AI have been pretty uninspiring. [00:11:45] ChatGPT's ads are a labeled box under the answer, logo, headline, image, link. It's a search ad with a fresh coat of paint.

[00:11:55] We are starting to see some new ad formats [00:12:00] developing that are native to AI. One is sponsored prompts, which Amazon pioneered. Another is sponsored agents, where users can have a conversation with an advertiser's AI agent. And [00:12:15] finally, OpenAI is testing its first visual ad format in ChatGPT, which appears while someone is waiting for an image to generate.

[00:12:24] But my prediction is that agents will more likely borrow from the [00:12:30] formats that we already know. From retail media, sponsored picks in your agent's shortlist and offers on your order confirmation. From gaming, rewarded ads. Watch an ad, earn more free [00:12:45] usage. From streaming TV, an ad on the working on it screen while your agent books your flight.

[00:12:53] And here is the neatest one, not actually showing any ads at all. [00:13:00] Off-site advertising is where a retailer or another company with lots of user information allows advertisers to target their users on another platform, like connected TV or the open web or social media, [00:13:15] and advertisers love it because they can target very precisely by behavior, by predicted behavior, by different customer groups And now think of all of that behavioral insight that these chat assistants have about us.

[00:13:28] They know our hopes, our [00:13:30] dreams, our ambitions, and with an off-site advertising program, these AI companies would never have to distract us with an ad or get in the way. Now, the only catch is the margins of this type of advertising are typically lower because you have to [00:13:45] share that ad spend around with more partners.

[00:13:48] And here's my personal wish list, which I'm sending off to AdSanta this Christmas. One is opt-in brand drops. Let me tell my agent which brands I wanna hear from when they [00:14:00] launch something new. Two is sponsored announcements I ask for. And three, ads matched to what I'm actually shopping for. I really think that with this depth of information that our AI assistants have [00:14:15] about us, the ads could be better than we've ever seen them on other platforms.

[00:14:20] Now, here's the one that everyone's worried about and what I think we need to be aware of, and that is ads that quietly steer your agent, [00:14:30] paid rankings that you never see, a merchant paying to become your agent's default choice. That's what consumers already say that they are concerned about, and that's where enshittification is a [00:14:45] real issue.

[00:14:45] It's exactly the bias that Google's founders warned about back in 1998. That's why I think that ads that are shown to me that are relevant and clearly labeled are the best model that we've got. I don't think ads are abuse. [00:15:00] One day we might look back and miss the clean, quiet experience of these early AI agents, but of all the options, ads are the least worst.

[00:15:11] Thanks for tuning into AdGentric, the new show [00:15:15] about advertising in consumer AI environments. AdGentric is part of the Refyby Media Network. I'm Kiri Masters, and I'll see you next [00:15:30] time