APPAppLovin Corporation
AI adoption · Q1 2026 earnings call
Information TechnologyMonetizing
22
extracted from this call
5 / 5
financialized — dollar / segment level
Not disclosed
no breakout in this call
AI is central to AppLovin's entire business narrative on this call, spanning its core Axon ad model, generative creative tools, agent-compatible infrastructure, and gaming ecosystem enablement. Management described continuous model improvements as the primary driver of revenue acceleration, citing a 'quite substantial' model release weeks before the call that drove March consumer vertical spend ~25% above January and April above any prior Q4 month. The company is preparing to open its self-serve platform in June with AI-generated video ad tools and agent-accessible APIs as key onboarding enablers. AI is framed both as the product (Axon model) and as an infrastructure layer enabling advertisers and gaming studios.
Adopter
See full leaderboard →79/ 100
100
stage: monetizing · max spec: 5
55
rev: qualitative_only · 3 quant outcomes
85
3 scopes
product_embeddedproduct_standaloneinfrastructure_build
22 AI mentions from this call.
Extracted verbatim from the APP Q1 2026 earnings call transcript. Speaker, section, and specificity tier surfaced for each mention.
- T5Q&A· CEO· Product-embedded AI
“Right now, we're projecting well over $70,000 a year from every new customer. So if you just want to size that, if we open up the platform and sign on 100,000 customers in the next year, first year revenue from them are ad spend -- advertising spend would be roughly $7 billion.”
— Adam Foroughi, APP earnings callAxon - T5Prepared remarks· CEO· Product-embedded AI
“We've always said we want to help the smaller businesses scale. Last quarter, I highlighted an Israeli cookware company that went from $4 million in revenue to $16 million to now projecting $80 million with the majority of their ad spend on our platform.”
— Adam Foroughi, APP earnings callAxon - T4Prepared remarks· CEO· Product-embedded AI
“A couple of weeks ago, we had another material model release that improves scale and return on ad spend significantly for our consumer advertisers. These are the types of compounding improvements we have talked about on prior calls. The team improves the model, advertisers see better returns and they put more budget into our system. It is a virtuous cycle, and it is working. The consumer vertical exited the quarter very strong with March growing roughly 25% more than the numbers we did in January and April reaching a record month in advertiser spend, higher than any peak Q4 month.”
— Adam Foroughi, APP earnings callAxon - T4Q&A· CEO· Product-embedded AIyou talked about a significant product breakthrough just a couple of weeks ago. I guess, could you give us a little bit more detail about what that entailed? Was it a new type of model targeting a different use case? Or was it an existing one?
“So if you recall, when we first launched AXON 2.0, we've had a lot of fast growth quarters since. I think it's been 12 straight. And almost -- most of that has been attributed to two things. One is releasing new products. So as we've gotten deeper into gaming, you know that we've come out with longer-dated periods of models. And the second and more important is improving the underlying model.”
— Adam Foroughi, APP earnings callAXON 2.0 - T3Q&A· CEO· Product-embedded AIIs it mostly technology readiness that you're testing? I mean, is it too early for any learnings on how it changes spending patterns? Second question on that. I know you source multiple models, but any hiccup with OpenAI dropping Sora? And also like is SeeDance 2.0 something you're interested in leveraging?
“Sora 2 is a good product. Obviously, it is one of the ones that we use underneath the hood. It going away doesn't change a whole lot. One of the nice things about being an independent company looking at all the large language models is we don't have to be favored toward any of them. And so you mentioned SeeDance, there's other ones out of China as well. We can deploy any form of model, whether open source or closed source in any of the categories, text image or video and utilize the one that's best for the purposes that we have. And you can assume we do that. We don't stick to just one. We want to be optimized for the field. And so that's something that we constantly do. Therefore, Sora 2 being deprecated didn't impact us at all.”
— Adam Foroughi, APP earnings callOpenAI - T3Q&A· CEO· Product-embedded AII think last quarter, you talked about the breakage that you're seeing in your new customer onboarding flow. Could you just give us a progress update on that and how far below your target breakage rate you currently are?
“The main thing that we talked about last call, resolving, we're still in the midst of resolving. We will over the next couple of weeks before we go to general release, and that's delivering video out of the box. That's not a trivial task, but we initially rolled it out a few weeks ago with customers. There's a blog on our website, so you can see some of the AI-generated ads. Frankly, the AI-generated ads are really, really tough to tell that they're built by AI instead of a human being. And the cost is exceptionally low relative to what a human-generated video would cost.”
— Adam Foroughi, APP earnings call - T3Q&A· CEO· Product-embedded AIis there something that you guys have figured -- like figured out about your underlying models that is leading to a faster pace of improvement or some unlock there? Like could the next 1.3% come faster?
“The AI research space, obviously, is seeing fast improvement, too. You've seen an insane amount of product releases in the large language model space in short order because of everything that's happening there. A lot of those same trends apply to us, but I think it starts with our team is just getting much smarter about the tests that they're doing. So we have 100% seen faster improvements to the models, both across the consumer business and the gaming business. And we don't really see a reason why that's going to slow down.”
— Adam Foroughi, APP earnings call - T3Q&A· CEO· Product-embedded AIwe also hear some people talking about some of the new creative or generative creative tools
“today, the game developers already use a lot of these tools to create way more content into our system. I really doubt any customer created 50,000-plus ads by hand. So these tools are already benefiting us as a platform that's closed loop in this large scale and also really for the game developer, the first destination. If they're going to spend money on AI tools to create ads, they're going to start with, let's create ads for the Axon platform and then they're going to go beyond that.”
— Adam Foroughi, APP earnings callAxon - T3Q&A· CEO· Product-embedded AIyou mentioned the GenAI creative tool. You've been talking about that for a couple of quarters, but I think you're in the process of rolling it out more broadly. So I guess how is uptake there? And then I guess, more importantly, for the advertisers that are using it, what sort of impacts are you observing from that?
“It was critical for us to get a model on top of the popular image and video generation models out so that we can hand to advertisers the capacity to just create ads out of the box that work for our platform. We rolled out something called our interactive page generator earlier in the quarter. That's out to all customers. That has pretty widespread adoption at this point. But more important is the video side. That's still in testing. We're going to roll it out to all accounts shortly.”
— Adam Foroughi, APP earnings callinteractive page generator - T3Q&A· CEO· Product-embedded AIis there something that you guys have figured -- like figured out about your underlying models that is leading to a faster pace of improvement
“As our team of researchers get smarter about the things that they're testing, the success rate goes up, which is going to enable us to continue to push the technology forward, to drive better return on ad spend. That drives up same-store growth. The same customers we have today should keep growing and then pair that with opening up the platform and new advertisers and new data, it makes us really excited about where we're going.”
— Adam Foroughi, APP earnings callAxon - T3Prepared remarks· CEO· Product-embedded AI
“we are already seeing advertisers use AI agents to manage their marketing spend, and we are building Axon to be natively accessible to those agents. Between self-serve access in June, our AI-powered ad creative tools and agent-compatible infrastructure, we are building a system where an advertiser can onboard, generate high-performing ads and scale campaigns profitably without ever needing to talk to a human.”
— Adam Foroughi, APP earnings callAxon, Axon Ads Manager - T3Q&A· CEO· Product-embedded AIany learnings from the audience segmenting and targeting like you went prospecting campaigns to discovery campaigns. Like any generalization on what this is doing to unlock budget for existing customers?
“by going from the -- giving this targeting that we allow the advertiser to go complete top of funnel middle of funnel and bottom of funnel, we're seeing that unlock much greater aggregate budget. Most customers that care about this or have these recurring high brand loyalty type of business models usually use a mix of all three. And it gives them just more tools in the tool set.”
— Adam Foroughi, APP earnings callAxon - T3Q&A· CEO· Product-embedded AIwhat are the implications for compute costs? And do you expect that's going to be a drag on margin?
“I wouldn't factor this into our economic profile at all. I would not expect margin compression. This is also not our own compute. This is utilizing third-party services. So it's really just a tax that we have to pay to third-party services to utilize their compute.”
— Adam Foroughi, APP earnings call - T2Q&A· CEO· Product-embedded AIwe also hear some people talking about some of the new creative or generative creative tools, things like playables generation and iteration or versioning. Is that something that you think fits in with the platform
“It's not our goal to just stop on video and interactive pages. Eventually, we'll have playables. And hopefully, over time, using these tools, we can create more types of templates as well. There's no desire or expectation that for the rest of our existence, we're only going to serve videos and playables and gaming. It's very possible there'll be other types of ad formats. And as we get into high iteration mode using the LLMs, it's possible we'll land on new techniques, too, that can create a better response from consumers.”
— Adam Foroughi, APP earnings call - T2Prepared remarks· CEO· Product-embedded AI
“First, AI technologies are now enabling these studios to do things they cannot do before. Incumbent gaming companies, the ones that already have successful titles, can now use AI tools to improve their current games faster and cheaper. More importantly, it is giving them the confidence to launch new games. The cost of experimentation has come down dramatically, and that is unleashing a wave of new content that is really healthy for our ecosystem.”
— Adam Foroughi, APP earnings call - T2Q&A· CEO· Standalone AI productIs there interest in building a social media network or maybe acquiring one?
“Our CTO, Giovanni's job is to hire the best talent in the world of recommendation systems. And so the social media app is an example of something that will play that role. Not only will it allow us to attract great talent, that team is pretty excited about the things that they're building, and we're going to be able to test and iterate on our product in a very low-cost and swift way because of the popular Vibe coding tools out there.”
— Adam Foroughi, APP earnings call - T2Q&A· CEO· Product-embedded AIhow does your GPU -- your ability to fund GPUs separate you from competitors, if at all?
“What makes our business really compelling is that for this space, we've written the best models and products for the advertisers. That's super critical. That's what allows us to do so well. And we process that data and create a better output than anyone else. And that technology lead plus the data expansion, plus all the budgets being on our platform, first and foremost, drives the scale, growth and success you've seen from us.”
— Adam Foroughi, APP earnings call - T2Q&A· CEO· Standalone AI productas e-commerce scales, how should we think about balancing needs between the consumer and gaming verticals on sort of the user acquisition side
“: I mean the product rollouts help advertisers build campaigns, launch ads. Those are sort of like the basics of ad campaign management. A lot of that is going to be automated in the future, too, with agents. But the most important driver of our success, especially this early in the product, is the engineers improving the model to drive better return on ad spend for advertisers at a higher scale.”
— Adam Foroughi, APP earnings callAxon - T2Q&A· CEO· Customer demand signalI think that March was up something like 170% year-over-year. It's a pretty meaningful inflection. I think that the these apps are probably going to be different than the apps that were on the App Store before. I think a lot of them are Vibe coded
“right now, a lot of the Vibe coded stuff in the world is quite a bit of slop more than substance. But as you go forward, what's going to end up happening is these tools are going to let the best developers create more content. Quality is going to go up. The content count is going to go up and the need for discovery is going to go up. So that plays right into our strong suit.”
— Adam Foroughi, APP earnings call - T2Q&A· CEO· Standalone AI productI think the kind of AppLovin creating a social media platform has been floating around for a couple of months. Could we maybe just get a little bit of clarification. Is there interest in building a social media network or maybe acquiring one?
“we also can Vibe code products. And there is once upon a time we bid on TikTok. So you know that we have an interest in better monetizing social. We believe we're very good at recommendation engine technology. We have one of the world's most sophisticated advertising technology and the possibility to work on an engagement algorithm with a social app is enticing to our team.”
— Adam Foroughi, APP earnings call - T2Q&A· CEO· Infrastructure buildhow does your capacity to fund GPU capacity separate you from some of your competitors who are also adding a lot quarter-on-quarter
“As the models get more complex, -- as we continue adding more customers, we're going to need more GPUs. We work with Google Cloud on it, and we can go to any cloud, but we have the GPUs that we need to process the business today. And it's very likely we're going to need to continue to buy GPUs.”
— Adam Foroughi, APP earnings callGoogle Cloud - T2Q&A· CEO· Product-embedded AIyou're also talking you have to have two separate models and stuff like that and resources can be scarce. That question pops up again in terms of are you doing too much
“Eventually, you can imagine advertisers will just be able to use their favorite LLM take all the action they need in our dashboard, automatically create the video and end cards, get live, get profits, get leads, scale. That doesn't require a lot of effort from us.”
— Adam Foroughi, APP earnings callAxon
What management wouldn’t quantify.
Analyst questions where management declined to share a specific number. The pattern of refusals is often as informative as the disclosures.
- Management did not disclose the absolute dollar size of the consumer/e-commerce vertical revenue, only directional growth metrics (March ~25% above January, April a record above any Q4 month).
- No explicit GPU capex dollar figure disclosed despite analyst question on GPU capacity (Omar Dessouky, BofA); management confirmed ongoing GPU purchases with Google Cloud but gave no spend figure.
- AI creative tool (video generator) adoption metrics not yet available; management noted volume is 'pretty low' and rollout is imminent but no user or revenue data provided.
- No breakdown of revenue attributable to AI model improvements versus other factors; management described model uplift qualitatively but did not isolate its P&L contribution.
- No disclosure of headcount dedicated to AI research or model development.
- Connected TV / Wurl AI strategy discussed qualitatively but no timeline, revenue target, or investment figure provided.
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