Search for a command to run...

Timestamps are as accurate as they can be but may be slightly off. We encourage you to listen to the full context.
In this engaging podcast conversation, Dylan Field, CEO of Figma, discusses the evolution of AI and design tools with Alessio from Kernel Labs. The episode explores Figma's journey from a browser-based design platform to an AI-powered creation ecosystem. (03:27) Field shares insights about Figma Make, their latest AI-powered app creation tool, and how it democratizes software development beyond traditional designers and developers.
CEO and co-founder of Figma, Dylan Field has led the company from its inception to becoming a dominant force in collaborative design. He's a Thiel Fellowship alumnus who previously interned at LinkedIn's data science team and worked at Flipboard. Field has been instrumental in transforming how designers and developers collaborate, turning Figma into a billion-dollar platform that serves millions of users worldwide.
Founder of Kernel Labs and host of the Lit in Space podcast. Alessio brings an engineering perspective to discussions about AI and software development, having recently started his own company focused on AI tooling and infrastructure.
Field emphasizes a crucial shift in mindset he learned during his time as a Thiel Fellow. (43:35) Rather than immediately looking for reasons why something won't work, he advocates starting with the vision of what could be possible and how impactful it could be for society. This approach has been fundamental to Figma's success and his investment philosophy. The key is to first allow yourself to dream big, then systematically work through potential obstacles to mitigate each one. This methodology prevents premature dismissal of breakthrough ideas - something Field admits he was guilty of when initially skeptical about Bitcoin and deep learning technologies.
Field argues that as AI-powered code generation becomes more sophisticated, design becomes increasingly important as a competitive differentiator. (12:19) In a world where software creation becomes exponential, the winners will be determined by brand, point of view, taste, craft, and design. This means professionals need to develop deeper design thinking skills and push beyond just using AI to generate outputs - they must use AI to explore the options space faster while going deeper into craft and detail in their chosen direction.
Field shares transformative advice from John Doerr about recruitment: if you're not thinking about recruiting constantly throughout your day, you're not truly recruiting. (50:15) The practical implementation involves creating a recruitment spreadsheet funnel and obsessively managing it like a sales process. Early-stage recruiting requires taking a long-term view - some of Figma's best hires were people Field maintained relationships with for 5-6 years before they joined. The key is consistency in building relationships with people you admire, even if they don't join immediately.
Field believes we're currently in the "MS-DOS era of AI" when it comes to interfaces. (09:05) While natural language prompting is dominant now, he envisions AI models as "n-dimensional compasses" that help explore latent space in more intuitive and creative ways. Future interfaces will move beyond text prompting to more constrained, specialized interactions that could unlock creativity through limitations. This perspective suggests professionals should prepare for rapidly evolving AI interaction paradigms rather than getting too comfortable with current text-based approaches.
Rather than imposing a specific aesthetic viewpoint, Field emphasizes Figma's responsibility to help people explore more of the aesthetic space. (24:50) He advocates for tools that can nudge users into under-explored design directions relative to design community and history, while enabling interpolation between different styles. This philosophy extends beyond just avoiding the "median website" problem - it's about actively expanding the creative possibilities available to users and helping discover new visual territories that haven't been fully explored.
No specific statistics were provided in this episode.