The Neuron: AI Explained
24 Billion AI Uses Later: What Canva Learned About the Future of Design
10 Mar 2026
Chapter 1: What is the evolution of Canva's AI products?
It's such an exciting era to be, honestly, like there's just so much potential. I think the main thing around it is this model trying to understand designs, but the key ingredient in that is really the layering and being able to understand as well as creating like presentations or posters or social media posts, anything you can imagine. That's not just a flat raster image.
We don't see us as just doing design generation or just doing image generation or changing some pixels from here to there but it's really a creative option system where we're trying to bring more and more workflows more and more possibilities and just entire journeys of design needs into our platform nothing in the air technology side is testing us or forcing us to have outcome
the customization, personalization, tailoring and really like style training and fine-tuning and making that accessible. I think that's a very, very good and also very powerful. And what we're really excited about is actually kind of continuously trying to push like the definition of this word design as much as we can.
And in the world we're working on now is actually really like using AI to stretch that even further. Well, hello, everyone. Welcome to The Neuron, AI Explained. I'm Corey Knowles here with Grant Harvey, ready to bring you another exciting interview with an AI innovator. Grant, how are you today, man? Doing good, Corey. I'm doing great. How are you? Doing good. Doing good. Excited about this chat.
I think it's going to be an interesting one.
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Chapter 2: How does Canva's MCP server integrate with AI assistants?
Yeah, today we're talking to Danny Wu, who's the head of AI products at Canva, based in Sydney, Australia, which is very cool. Our first Aussie on the show. That's right. In this role. Is it? He leads Canva. Actually, maybe Tim Davis of Modular was. I think we've had an Aussie before. I take that back. All right. I'm sorry. Revoked. But anyway, about Danny.
So in his role, he leads Canva's AI strategy and product development for the world's all-in-one visual communication platform, which serves over 230 million monthly users as of mid-2025. Maybe Danny has more updated numbers for us, but that's pretty cool.
And then under his leadership, he's transformed Canva from a design tool into what the company calls a creative operating system, which I'm excited to dig into more about that. Same, same. Well, if you're watching and you haven't yet, please take just a moment to subscribe so you don't miss out on any of our other upcoming or past interviews and live streams.
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Chapter 3: What sets the Canva Design Model apart from traditional AI image generators?
And with that, Danny, welcome to The Neuron. Thank you so much, Corey and Grant. I'm so glad to be here. Oh, we're sure glad to have you with us, too. Yeah. So, Danny, I want to start with something light just to introduce folks to you for people who don't know you. When did you become head of AI product at Canva and what was your background before that?
Yeah, so I actually took on this role about, I would say, I think four years ago. It's actually a bit hard to keep track with how fast and how there's always something happening in AI, but I think it's been three or four years. So I first joined Canva a decade ago as a front-end engineer before moving on to product management for data science and machine learning teams.
And we were doing machine learning back then, although they were less around generative AI, but more around things like recommending assets as well as personalizing your experience on Canva. But yeah, I was on this role a few years ago, and we've been building GenHip AI products and features ever since. That's really cool. That's awesome. So you go ahead, Grant.
I wanted you to ask this one instead. I know where you're headed. Okay, so I was just playing around right before this call with the Canva app in ChatGPT, and I was low-key blown away by it and just how functional it is.
So I want you to help us step people through, like, what actually happens when someone, you know, adds the Canva app in ChatGPT and, you know, like, Canva helped me create a pitch deck or mine was, you know, what did I say?
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Chapter 4: What are some surprising use cases of Canva's AI tools?
I said... Can you make me a presentation about why dogs rule? And it created not just one, but four full presentations with completely editable slides. It was really, really amazing. What is happening under the hood when that happens? Yeah, absolutely. So, I mean, in a simple word, MCP. So, we've been building a lot of different AI features, like our great design generation representation.
You just saw things having a play around with a grant. And we expose all of those tools through MCP and build on top of SDKs like ChatGPT offers. So, And so it's really giving that the same functionality and the same AI just being exposed to AI assistance.
And so while we're doing that, your ChatGPT is talking to our MCP server, it's calling functions and tools like design generation, and it's getting the prompt, what you said in ChatGPT, pass it on to our tools. We generate some designs and feed it right back to you. Wow. Well, in just the last few months, it seems like you've integrated the app into ChatGPT, but also Claude and Microsoft Copilot.
And one of the things I'm wondering about is how does each assistant do things a little differently with regard to design creation? Are they pretty similar or is there a... substantial difference between them?
Actually, I mean, there are individual differences that come down to each platform and model, but what I think has been really amazing in this AI world is how common and how, I guess, how you can basically build once and deploy everywhere, deploy on all the services, all the systems.
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Chapter 5: How can freelancers remain irreplaceable in an AI-driven design world?
So the vast majority of the code and the technology we have to power each of these systems is... shared, it's just MCP. And so that's not just great for developers like us wanting to get consistent experiences, but it also makes the task of supporting all the different AI systems on one release cycle much easier and much more feasible.
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On that point, I've always wondered this, and I'd love to ask an engineer, why is it so hard to, let's say when you build an app for one platform, like for Mac, why is it so hard to port it to PC? And could AI help us speed that process up? I've always wondered this.
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Chapter 6: What is Canva's strategy for user acquisition through AI?
I think that's a great question. Actually, if you don't mind, I'd love to go through all the challenges we've been facing over camera on cross-platform support. So, yeah, so I'm not sure if you know, but back in, back maybe six or seven years ago, we used to have, so we had an iPhone team that was working on iOS apps. We had an Android team that was working on Android apps. And
Fundamentally, when you look at an operating system and when you look at the web, which is what Canva was originally built on as an environment, the APIs, the way you interact with them, the way you call things, display something, or the way you handle a user click or a user tap, those things are fundamentally different. There isn't really a standard...
standard framework or like a standard protocol there are cross-platform ones but um but generally speaking for building native apps for each operating system you kind of have to go through this journey of building things um doing thing building things out for each platform which It doesn't sound that bad in theory. I mean, a lot of companies, a lot of tools, a lot of platforms do it.
But when you're launching a lot of features really, really rapidly and iteratively and you want all of our users to have the same experience, we...
start getting increasingly lots of feedback about say an iphone user wondering why they can't use this feature we just launched the web or sometimes in other ways around and so we actually went through a journey that talker took maybe maybe a slightly painful like um year and a half ago cross-platform and basically rewrite um real app to to focus on like that common set of code and uh
very small amount of native platform adapters for the different operating systems. So that this way, like our product teams, our engineering teams can more or less like mostly just build a feature just once and have it across and then have it released on the same day on all of our platforms, which is great. It's definitely something our community as well as our team really appreciated and
So that's a bit about our journey to go cross-platform. And that's not being... I think what's really cool about the AI world is, firstly, we're seeing standards like MCT become adopted not by just a single frontier company, but actually being adopted by nearly all of them. And this degree, this amount of freedom when it comes to
cross compatibility is actually something that I think in technology for a little bit, I think that this is actually like a quite a new shift in the world of technology. That's fascinating.
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Chapter 7: How does Canva ensure design diversity in an AI landscape?
Yeah, it makes sense that you would want some kind of a, that there has to be a translator somehow that can disperse that out and understand those differences, you would think. So that's really awesome you've managed to get a hold on that over time. I'll bet it is a bear to do it manually with multiple teams and nothing's happening at the same speed, probably.
You know, one thing's done, you're waiting on the other, I guess. Yeah. Yeah, no, absolutely. I think one example I'll give is when we're working on some additional photo and text effects.
When you have multiple clients, like a client is something like a web platform or Android app, for example, not only do you have to, for something like Canva, which is a visual editor, not only do you have to ensure that features are available on all the platforms, but
if um if you use a feature on one platform say on web where it's available first then developers also have to handle how that happens when you open up the same design the same presentation another device what if it's not supported what if um it visually looks different and inconsistent then you have no true state of design so for us like just like you know like something like a
like docs like spreadsheets etc like um it's really important for us to ensure that like the same design displays and renders the same across all platforms uh which are which basically which Definitely made, I would just say, definitely made development journey until we went from unified architecture. Yeah. Very cool. That makes total sense.
And what's amazing about Canva, in my opinion, is that so much of what you build and design is for a lot of free users. Like anyone can use Canva for free on the web. And it's a great resource. Like so many people got their start in design through using Canva. So it's cool that you're doing all this really hard, intense work. And there's a lot of times, you know, you're giving it away for free.
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Chapter 8: What future developments can we expect from Canva's AI tools?
Not all of it, but some of it. It's very, very generous. Well, most of it, yeah. Thank you. It's quite intentional. So roughly about nine or ten of our users...
are actually free users and that's very intentional like our mission is and has always been to empower everyone to design and when and I think I found a lot of times like mission statements what is I've seen they maybe you know there's just a mission statement that's just something you say they may not actively I guess guide a lot of the principles and all the actions you do but
For us, the empower everyone is a really important aspect. Ever since the early days, we have thought about using family education, about wanting to make sure that students who are, say, learning graphic design or just learning in general have availability to... amazing, great design tools that enable them to transform their creativity and imaginations.
We wanted to ensure that non-profits also had access to this tool. So making sure that we have had a great, free and available product that everyone in the world can use, that's been part of our DNA from day one. That's awesome. So the Canva design model is described as the world's first, if that's correct, model trained to understand design, not just images or just video, I assume.
What does it actually understand that Typical models don't, if you don't mind. Yes. So we're really excited about the model. I think the main thing around it is it is a model like you said, Corey, this model trying to understand designs, but what actually the key ingredient in that is really the layering and being able to
to understand as well as create things like presentations or posters or social media posts, anything you can imagine that's not just a flat raster image. So a flat raster image, think of it as like a JPEG or a PNG, for example. When you have designs, when you have things like text, when you have things like elements, then... you want to have the ability to be able to directly edit them.
Like you don't, you probably don't want to, I'm sure, I'm sure all of us have maybe like, um, asked AI to repump an image to change some text or maybe move this thing like to the left or to the right. And, um, I think, um, I don't know about you all, but a lot of times I find, um,
it's much, much easier to just grab my mouse or grab my finger and just directly drag and drop something from A to B. And this element of direct control that is enabled to the generator design has been essentially deconstructed in actual design since I was just flat.
So that's what's unique and what we think is really exciting about it in terms of actually helping people through the end-to-end design journey. But if you would like, I'd be also really happy to give like a quick demo or show you the demo in action. Oh, we'd love that. We're all about demos. Let's do it. All right. Awesome. Perfect. We have the camera homepage and camera AI right here.
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