Blake Morgan: “Marketing today isn’t just about pushing out content—it’s about understanding customer needs and delivering relevant, valuable experiences. AI is making personalization smarter, automation seamless, and insights more actionable. But where do we draw the line between personalization and intrusion?…Hyper-personalization, real-time engagement, and AI-driven segmentation will continue to shape the future of marketing. Brands that master the art of balancing data with meaningful customer interactions will have a competitive advantage.”
Katie Parrott: “I’ve come to think about AI’s role in my work in six parts, which correspond to the six parts of my workflow: as a “second brain”, as a thought partner, as a first draft factory, as a first set of “eyes”, as a content multiplier, as a product manager…For those wondering, my exact stack is: ChatGPT for planning and outlining, Claude for drafting, Lex for editing and refining, Spiral for content repurposing.”
Shane Parrish: “Waiting for perfect conditions is how otherwise intelligent people keep themselves stuck. Two entrepreneurs spot the same opportunity. One builds elaborate plans; the other tests crude prototypes. The planner is still planning when the tester sells their company. While you wait for perfect conditions, others are creating them…An imperfect solution that exists outperforms a perfect one that doesn’t. Facebook wasn’t the first social network – it was just the one that kept iterating and showing up. The Wright brothers weren’t the most educated aviation pioneers, but they were the ones who got a plane off the ground. What you build matters more than what you could have built.”
Ashu Garg: “AI and blockchain remain the two mega-trends we are most focused on. Both are still early in their evolution, yet their impact on our economy is already undeniable. AI is making intelligence programmable. Crypto is making value programmable. Together, they represent a fundamental replatforming of our digital and economic worlds. AI is no longer just augmenting human productivity – it’s becoming the worker itself. Our thesis is that software is evolving from “Software as a Service” to “Service as Software,” where AI doesn’t just assist with work but performs it autonomously. AI-native applications will draw on systems of agents that collaborate with each other and with humans to make decisions and execute end-to-end tasks. This paradigm shift in how software is built and delivers value will push software beyond traditional IT budgets into the vastly larger global services economy, unlocking a $4.6T opportunity and adding trillions more to global GDP by 2030.”
