Technical, Design, and Product Skills Overlap at Google, Apple, and Stripe
by Howie Liu on August 31, 2025
Howie Liu believes the AI era requires leaders to collapse traditional role boundaries and embrace a more hands-on, experimental approach to product development.
In this new world, the most successful leaders are those who stay deeply connected to the details while maintaining a holistic vision. Liu discovered that stepping away from product details—something he once thought mature CEOs should do—actually disconnected him from what made Airtable special. Instead, he found that maintaining founder-mode engagement with the product creates both better outcomes and more personal fulfillment.
Liu restructured Airtable into two distinct groups: a "fast thinking" team focused on rapid AI innovation and a "slow thinking" team handling more deliberate, infrastructure-focused work. This dual approach allows the company to ship exciting new AI capabilities weekly while still building the robust foundation needed for enterprise-scale deployments.
For product teams, Liu emphasizes that success now requires versatility across disciplines. The most effective PMs are becoming "hybrid PM-prototypers with good design sensibilities," while engineers and designers similarly need to expand beyond their traditional domains. This isn't about everyone becoming experts at everything, but rather developing enough cross-functional literacy to work more autonomously and make holistic product decisions.
Liu encourages experiential learning through play rather than theoretical understanding. He tells his team: "If you want to cancel all your meetings for a day or even a week and just play around with every AI product you think could be relevant to Airtable, go do it." This hands-on exploration helps people understand not just what AI can do, but how it feels to use it—critical knowledge for creating compelling experiences.
For leaders navigating this transition, Liu suggests a fundamental reframing: "If you were literally founding a new company from scratch with the same mission, how would you execute using a fully AI-native approach?" This clean-slate thinking helps identify whether your existing assets provide genuine advantages or if you're holding onto outdated approaches that limit innovation.