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Andrey Khusid
CEO & Co-Founder, Miro

Canvas 26: Miro Keynote

📅 May 19, 2026 Miro 113 MIN 3313 VIEWS 144 SEGMENTS · 9 SPEAKERS
Join us live from San Francisco for Canvas 26! Watch Miro's leadership team and top voices in product, engineering, and design explore how collaborative AI workflows amplify what teams can achieve. Drop your questions in the chat. #Canvas26 #Miro #MiroKeynote

What Andrey Khusid said

Written from the verified transcript and checked against it. Every figure links to the moment it was said.

Andrey Khusid, CEO and co-founder of Miro, opened the Canvas 26 keynote by reflecting on 15 years of company history and arguing that AI has collapsed the distance between an ambitious idea and a working version, making the individual the most powerful creative unit ever. However, he said company value and strategic clarity have not 10x'd, creating a gap between the 10x individual and the 1x company. He identified two fundamental changes: the 'collaboration fracture' (three siloed modes: human-to-human, human-to-agent, agent-to-agent) and the 'great inversion' (work shifting from 80% doing/20% thinking to 20% doing/80% thinking). He outlined four problems this creates for organizations: silos, AI-amplified misalignment, decisions not keeping pace with creation, and invisible thinking. He positioned Miro as the solution, a single surface where people, context, and agents converge, citing customers like Endava and Jabil.

Key takeaways

  1. The gap between the 10x individual and the 1x company is the single biggest opportunity in business today.
  2. Collaboration has fractured into three siloed modes: human-to-human, human-to-agent, and agent-to-agent, which Miro aims to unify.
  3. Work is inverting from 80% doing and 20% thinking to 20% doing and 80% thinking, making thinking the entire job.
  4. Miro is becoming the place where people, context, and agents converge to turn individual ambition into collective execution.

Numbers and commitments

FigureWhat it refers toTypeAt
15 years Time since Khusid started Miro timeline 7:22
80% Share of work historically spent on doing metric 11:01
20% Share of work historically spent on thinking metric 11:01
20% Projected share of work spent on doing after inversion metric 11:49
80% Projected share of work spent on thinking after inversion metric 11:49
10x Multiplier for individual productivity and company value gap metric 9:20
11,000 Full-time employees at Endava metric 15:21

Chapters

  1. 0:00Opening and welcome
  2. 8:36AI's impact on individual productivity
  3. 9:20The gap between individuals and organizations
  4. 10:21Collaboration fracture and great inversion
  5. 13:04Four problems for organizations
  6. 15:06Miro as the solution
  7. 16:10Customer examples and closing

Questions asked in this interview

1
  1. 6:22Are you ready? Are you excited?
Amy Swan 0:50 ↗
Please welcome to the stage Miro's chief customer officer, Amy Swan.
Welcome to Canvas 26. I'm Amy Swan and I'm thrilled to be welcoming you to the first stop in our global tour right here in San Francisco. How many of you are from San Francisco City proper? All right. And how many of you came from around the Bay Area today? All right. How many of you came from outside of California? Oh my gosh, that's amazing. And what about from outside of the US? Incredible. This is what today is all about. It's all about bringing together this incredible community.
So, I have two titles at Miro. My official title is I'm the chief customer officer. But my unofficial title is that I am the mayor of the San Francisco office in downtown because I'm based here. And actually, these two roles have some very interesting similarities. So, like any good mayor, I walk the streets. And in my case, I review a lot of boards, connect with customers, welcome them to this community, and I listen to what's really going on. And right now, we are living in this incredible moment that really embodies the zero to one spirit. And in San Francisco, we've always had this incredible energy. Many of you have come here today to really be drawn by this energy and this hustle to build something new. Build something you've never created before and to build something on a blank canvas that is endless with possibilities because we are in a position today to build at speeds we never before imagined and to work in ways we never could have dreamed of.
So, as part of my role, I'm also here to welcome the thousands of people who are outside of this room today that are connecting with us virtually and they are come from all across the globe from London to Sydney to Tokyo and beyond. And we're kicking off here today our tour where we are going on a major kind of global tour to essentially bring together people around canvas which is our opportunity to learn, debate, share and build together. And regardless of where you are from and where you're sitting today, you are now a member of an amazing network of 100 million users globally that are redefining the way we work every day. So thank you so much for being here. Thank you for being part of the journey with us.
I spend a lot of my time speaking to all of you and listening to what's really top of mind and I get a first row seat into what's keeping you up at night, how you're thinking about this massive change that's unfolding in your organizations and also what you need from us in order to win. And my mission is to ensure that you are wildly successful and that Miro is a strategic partner for you in solving your most complex problems, your most challenging workflows, and your trickiest alignment challenges, no matter where they're unfolding. And most often, no matter what industry and no matter what geography, seven out of 10 conversations I have with many of our customers ends in everyone's favorite topic, which is absolutely not stressful at all, change management.
Now, the questions I'm hearing from many of you today are, are we moving fast enough? And even if we are moving fast enough, how do we even know if we're moving in the right direction? How do I get my team to lock arms together, move at the same pace, and be completely aligned? Usually, by this point in the conversation, I also throw up my hands because this work is really hard and it's really challenging.
At the heart of everything we do, there's one truth that has really emerged out of the conversations I've had with many of you, and that is that nobody builds anything great alone. That is the truth. No one builds anything great alone. And that's essentially the reason why Miro exists. Whether you are a two-person startup or a 200,000 enterprise organization, we exist so that you all can think with one mind. And now that one mind also includes AI.
Since the beginning, Miro core mission and a big part of our DNA has been all about amplifying teamwork. And our blank canvas really serves as a launch pad for all of your greatest ideas and your most strategic priorities. And today is really all about you, our community. And I hope that you really take the opportunity to meet one another. I'm very lucky I get to meet many of you. There are many more of you I'm excited to connect with today. And there are some really, really awesome people in this room. And I hope you take the time to get to know one another and make those connections. I would love for all of you to feel what it's like to be the mayor of Miro for one day, which is my job. I think I have a very cool job.
And we have an incredible day lined up for you. First, our founder and CEO Andrey Khusid with our chief product and technology officer Jeff Kowal will be taking the stage and giving us a firsthand exclusive look at some of our latest innovations. After that, Endava, one of our major partners will be here to share how they've actually put that into real work and created an AI native delivery model. And before lunch, I'll be back to have a fireside chat with Tore Cohen, who is the former chief product officer at LinkedIn, who's really already begun this transformation for engineering and product and design teams. So, we have an incredible day lined up. Are you ready? Are you excited? Please put your hands together for CEO and founder Andrey Khusid.
Andrey Khusid 7:22 ↗
Thank you. Thank you. Hello everyone. Hello. Welcome to Canvas. It's good to see you all here. Wow. Customers, partners, friends, the people building the future of how work actually gets done. We have a lot of exciting announcements today. But before we dive into those details, I wanted to take a quick step back. 15 years ago, I started this company. Since then I had a front row seat in every major change in how the world operate. The rise of SaaS, the pandemic that pushed every company to rethink collaboration overnight and now AI which I believe is the biggest change of all three we ever experienced. But through all those changes there has been one timeless truth. Human ambition has no ceiling. There will always be people who want to build a company, launch a product, solve a problem nobody's ever cracked. What has held them back is the distance between what you could imagine and what you could actually build. The ambition was never the constraint. The barriers were.
AI has massively raised that floor. The distance between I have an ambitious idea and I have a working version of it is shrinking towards zero today. Those barriers that define the entire era of work gone.
So far this is adding up for the individual. What one person can accomplish has skyrocketed. A solo founder builds a working product in a weekend. A designer explores a hundred concepts in a day. An engineer architects systems that used to require a team of 10. One person working with agents and tools is the most powerful creative unit that has ever existed.
But here is the problem. When you zoom out from the individual to the organization, the results are not the same. Company value didn't 10x. Strategic clarity didn't 10x. In many cases, things feel harder. More output to review, more options to sort through, more divergence to reconcile.
This gap between what individuals can now do and what organizations can harness is the single biggest opportunity in business that we all face right now. The companies that close it will build the future. The rest, they will watch their best people building the future somewhere else.
We believe this gap exists because of two fundamental changes in how we all work. The first is about how we collaborate and the second is what we collaborate on. Let me walk you through both.
For decades, collaboration mean one thing. Humans working with humans. Meetings, whiteboards, documents, chats in the office. Our organization processes and tooling were all built around that. That world is gone. Today we have three collaboration modes. Number one, human to human. Number two, human to agent. Number three, agent to agent. Three powerful modes, but also three powerful silos. Because these modes run in different places. Private chat windows, terminal tabs and invisible pipelines.
This is the first change and is what we call the collaboration fracture. The collaboration fracture is about how we collaborate. But there is also a second change and around what we collaborate on. For decades, knowledge work will follow the same ratio. Roughly 80% of doing it's drafting, coding, designing, researching and 20% thinking, deciding what to build, aligning teams towards that, setting the direction. The doing consumed everything. The thinking, the part that actually determined where the doing mattered, got squeezed into margins. But now drafting, coding, agents can handle it. Prototypes, research, synthesis, agents can handle it.
What we work on is inverting to 20% doing and 80% thinking. The thinking that was always squeezed into the margins is now becoming the entire job. This is the change is what we call great inversion.
This will create new needs for knowledge workers and new ways to think about our jobs. For many of us, the new job is exploration. Going wide before going deep. Context design. Shaping the knowledge that makes AI institutional, not generic. Judgment, evaluating 10 options and picking the one that solves the real problem. Alignment, getting people to converge from the same evidence. And direction setting, deciding what the agent should work on in the first place. This is where we get leverage as people.
Now these two changes have been more seamless for the individual but for the organization they create new problems. We believe solving them is the difference in closing the gap between the 10x individual and the 1x company. Let me show you why.
There are a few problems. Problem number one, three powerful modes, three silos. For individuals, this works beautifully. But for companies, human-to-human collaboration happens in meetings and Slack and Teams and all over the place. Human to agent collaboration happens in private chat sessions. And agent-to-agent collaboration happens in invisible pipelines. There is no shared surface where they converge.
Problem number two, AI amplifies misalignment. For individuals, AI is ultimate accelerant. But for companies, if someone is pointed a slightly different direction, AI amplifies that misalignment. Your agent validates your assumptions for hours before another human sees the output. Six people, six AI copilots, six confident, polished, completely divergent strategies.
Problem number three, creation has scaled, but decisions haven't caught up. For individuals, generation is a solved problem. You can produce prototypes and strategies faster than ever. But for companies, when every person and every agent is generating at 10x speed, the bottleneck isn't making more. It's finding good problems to work on, making better decisions, and making fast judgment calls on AI output.
And problem number four, the thinking is invisible. For individuals, this is manageable. You hold context in your head, feed it into your agent, and review what comes back. For companies, the thinking is invisible in two directions. The human thinking, the rational and judgment calls, never reaches AI. So agents produce generic work that needs to be redone and the agents thinking, its reasoning, tradeoffs and options considered, never reaches the human buried in chat logs and walls of text that nobody has time to read.
This is the most urgent thing for every organization to address in order to stay competitive these days. How we collaborate and what we collaborate on. The window is now. This is where Miro comes in.
Miro is becoming the place where people, context, and agents from every function converge to turn individual ambition into collective execution. One surface, all three collaboration modes to explore, design, judge, decide, and execute with agents. Let me highlight a few customers leading this way. Like Endava, who you will hear from directly later today. They're a leading provider of technology services with 11,000 full-time employees serving clients across multiple industries. At the time, many are testing AI in pockets and Endava recognized the importance of transforming at the organization level with Miro as a partner. And Endava is now taking context from customer conversations all the way through code.
And this change isn't just happening for tech companies, but across manufacturing, finance, retail, and more. We are partnering with businesses on their transformation across many industries, delivering impact while keeping security and scalability top of mind. You'll hear more from our customers today like Jabil who use Miro to build its digital atelier where design, operations, and technology all work together in real time.
The result for all of these organizations, the leverage that's being locked inside AI chat windows becomes organizational leverage. You stop being a collection of 10x individuals pulling in different directions and you start being a 10x company. That's the outcome we are building toward here at Miro.
Today you're going to see how we are bringing humans and agents from every function together in one place to solve organization's most critical cross functional problems. I'm extremely excited about this future. AI unleashed individual ambition. Miro is unleashing the companies. With that, let me welcome to stage our chief product technology officer Jeff Kowal. Thank you.
Jeff Kowal 17:31 ↗
What is up? How are you doing, San Francisco? Thank you, Andrey. Great seeing you all. What a time to be alive, am I right? All right. So, look, I will say first of all, it's a real pleasure and privilege to work with an amazing team at Miro who is so passionate about improving the ways we work and then on a product that empowers how we work and then in this era that is truly shifting the ways we work. And this is a great journey that I can't believe I'm going on with all of you, our community members, our partners, our customers.
And we went on a major shift here in Canvas 25 where we introduced the AI platform to help accelerate your team's work. And it included things like sidekicks. It's your AI teammate that sees what's on your board and helps you think, give feedback, and build alongside your team. We also introduced flows, that visual multi-step AI workflows that helps you standardize and accelerate repeatable cross-functional processes. And we embraced the messiness of work and the value that has with visual context processing, the technology that makes the canvas the prompt for AI. And today we see millions of AI generated artifacts hitting the canvas every day. And most importantly, it's powering some of your most critical business processes from strategic planning, product prioritization, technical decisioning, and so much more.
And we also launched new products like Miro prototypes, helping product and design teams break down silos and ideate together faster than ever. And since launching Miro prototypes last year, thousands of teams like those at Lufthansa's Miles and More group are using it to fundamentally shift their discovery processes and accelerate decisions across their product design and engineering teams.
Now look, a lot has happened in the last six months since the last Canvas event, and I'm not being dramatic when I say there's a tectonic shift in our ways of working. We are finding ourselves wearing multiple hats now. We are finding our superpowers. One month used to seem fast. Now it actually seems slow. And to be honest, these new superpowers is actually amplifying the challenges in making high impact decisions for the organization. The work context is more fragmented than ever. The thinking is hidden between you and your agents. And the divide between teams is growing larger.
And this is why we believe in the power of the canvas and how it's more important than ever because the canvas has always been the space where people come together and decisions happen. It's that shared context, the democratization, that single pane of glass. Whether you're a fashion merchandiser planning next season's assortment, a manufacturer evaluating physical designs and assembly steps, or in a leader analyzing portfolio decisions, being able to visualize many inputs and context from multiple tools and teams on a single shared canvas is critical to moving your work forward.
So, we're evolving our platform to meet this moment. And our goal is to make the canvas the collaborative decisioning layer in the agentic era. Connected deeply with the tools and context of your work, propelling the work forward with your team, making the outcomes seamlessly cascade through your entire organization and your agents. And of course, doing this securely so you can operate at the speed of AI with peace of mind.
And to start, it's time for the agents you work with every day to meet the rest of your team. So today, I'm thrilled to welcome agents to the canvas.
And that means that rich context that exists on the canvas, the decisions taken, the spatial data, the ideation, the frameworks, everything is now available to your agent. And your agents can write on Miro too. So you can take an idea that started in your chat, bring it to a space where the team can converge. This changes how you can work with Miro both off and on canvas.
And it starts with the tools you are now using every day. And let's be honest, we know that shift from working with your agents, you're having a good time, and then shifting to collaborating with your team is kind of quite frankly the ultimate buzzkill, right? You're copying and pasting again, you have docx files. Where'd that come from? You're exporting and importing. Literally, it feels like we've discovered teleportation and yet half of the controls are using a dial-up modem, right? And that is why Miro now has connectors in Claude, ChatGPT, and Microsoft Copilot so that the work you're already doing with AI doesn't stay siloed but becomes seamlessly collaborative with your teammates and agents alike.
Now we're also expanding what agents can do on Miro. We have been blown away by the adoption of Miro's MCP server. In fact, we are doubling our tool calls every two weeks. And we've expanded the number of MCP tools we support. So when you're chatting with an agent, they can take actions in Miro like board creation, frames, comments, shapes, code blocks, and so much more. And we've also added tool-specific plugins and skills for even deeper interaction with Miro.
And finally, we want to ensure there is no loss in fidelity from the artifacts agents generate. That means making sure Miro can speak the language of agents. And so today, we're excited to announce new agent-friendly formats in Miro so that ideas conceived off-canvas translate directly into human-friendly formats on the canvas. So we have our existing formats and it's now agent-friendly. So, we are introducing Mermaid support for diagramming, Markdown support for docs and tables, and this one I'm so excited about. We're thrilled to introduce the HTML format for the quickly evolving code-based artifacts.
I like that one. Woo. Solid woo back there. All right. So, off canvas, your agents can work seamlessly with Miro. On canvas, we are making it easier to propel work forward by giving you access to your work context. And we're introducing connectors on Miro. Connectors allow Miro AI to read and write across your tools so that the context isn't trapped in one part of your stack. And we have great partners with Slack, Granola, Amplitude, and GitHub. Those prompts you make with flows and sidekicks now incorporate not just the work data on Miro but your full work context.
Okay. So with an agent-friendly canvas, Miro is the only place where you can fully unlock the three modes of collaboration that Andrey mentioned. Human to human, human to agents, and agents to agents. And today we're digging into those four areas that will help orgs do their best work together in the agentic era and at scale. So I'm thrilled to welcome to the stage to kick things off with Mark Boyce-Smith. Welcome Mark.
Mark Boyce-Smith 25:37 ↗
Thank you so much Jeff. Good morning everyone and welcome. So, you've heard Jeff say, 'We're here to help you do your best work in Miro.' And that starts with helping you to solve your most ambitious problems with us. And we believe that AI is really at the core of all of this. You heard Jeff say, we've invited your agents to the canvas to work with you through MCPs and connectors. What I want to do is share with you all of the amazing AI advancements that we're bringing when you're doing your actual work in Miro. That's through flows and sidekicks.
So, I want to start with sidekicks. These are focused on getting you to that place as quickly as possible where you're solving all of your problems with your team and reducing the amount of prep overhead you need to do. Whether you're deciding between different brand concepts or you're focusing your team on a new project and figuring out what the priorities are, we want you to be able to solve the problems that don't have a simple answer.
And that all starts with how you communicate with your sidekick. We're giving your sidekick a voice.
This is truly awesome. It's built on ElevenLabs and OpenAI's latest voice models. It's real-time two-way communication. And we built this for when you're deep in ideation. Maybe you're starting a new project. You've got four ideas and you don't have conviction on any one yet. Maybe you're jumping onto somebody else's project and you're just building your own mental model. With voice, you don't have to have the perfect prompt. We often don't in those moments. You can speak in your own words. You can speak in your own language. You can change direction, jump between thoughts and ideas. You can make mistakes. And we've trained our sidekick to be able to really engage with all of that chaos and the richness in the conversation that you're having.
Now, I've been using this for a couple of weeks as we've been developing it, and let me tell you, it is a chemical change in the way that I'm using Miro. For the first time, I'm sharing earlier and broader ideas, and I'm getting much, much richer responses in return. So, before we go any further, who wants to be reintroduced to your Miro sidekick? All right, let's take a look.
Hey Miro, you are live in San Francisco at Canvas 26. Can you give everyone a big warm welcome and introduce yourself?
Miro Sidekick 28:22 ↗
I'm adding a sticky that says big warm welcome to Canvas 26. I'm Miro's sidekick, your voice assistant here to help turn messy ideas into clear board actions.
Mark Boyce-Smith 28:34 ↗
Amazing. All right, cool. Also, I've just been sent this board by Bri. Could you just create a quick doc that summarizes everything that you can see just to one side for me?
Miro Sidekick 28:46 ↗
Got it. I'll pull a quick summary into a doc.
Mark Boyce-Smith 28:50 ↗
And while you're doing that, maybe you could tell everyone here today some of the things that you can do to help them make really, really great decisions in Miro.

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APA

Khusid, A. (2026, May 19). Canvas 26: Miro Keynote [Interview transcript]. Miro. CEOInterviews.AI. https://ceointerviews.ai/interview/920079/

MLA

Andrey Khusid. "Canvas 26: Miro Keynote." Miro, 19 May. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/920079/.

BibTeX
@misc{khusid2026_920079,
  author       = {Andrey Khusid},
  title        = {Canvas 26: Miro Keynote},
  howpublished = {Interview transcript, Miro. CEOInterviews.AI},
  year         = {2026},
  month        = {may},
  url          = {https://ceointerviews.ai/interview/920079/},
  note         = {Speaker-attributed transcript with timestamps}
}