@WeTheBrandon 💯 agree. Incredible clarity and depth. This is the leadership we need for the US to remain at the front for the next AI-led Industrial Revolution.

@hnshah Appeals to authority (legitimizing) are the worst form of logic for me personally. I'd much rather use rational persuasion or coalition building. @joshclemm shared this set of persuasion types which is super helpful to keep in mind of how different people approach it

@signulll Quite possibly the most important speech ever given by a US VP. Certainly in my lifetime.

@sriramk Agree - and not just AI opportunity, US policy full stop. I'd put it up there with: - Nixon in 1959 on Cold War technology policy. - Gore in 1994 outlining the vision for the internet. - Cheney in 2003, defining national security strategy post 9/11.

10/ This speech will be studied for years as AI transforms industries, economies, and international relations. For anyone who cares about innovation, economic growth, and the future of AI, this was a defining moment.

🧵This might be the most important speech ever delivered by a sitting Vice President. (It's not hyperbole) JD Vance laid out a new vision where the U.S. leads in AI, avoids excessive regulation, pushes back against censorship, and ensures AI benefits American workers. Here’s why this moment will shape AI, geopolitics, and economic power. 👇

RT @hnshah: We're at a point where knowing what the right tactics are to build and grow products is a competitive advantage because there i…

@hnshah This is the great process vs content video @shreyas shares. Everyone has been focused on the process of growth - not the content.

The AI shift no one’s ready for is coming fast. Reading @sama's “Three Observations” essay over the weekend, I realized there’s a shift ahead that most leaders aren’t prepared for. AI is already transforming how we work, but the real challenge isn’t what people think. Stage 1: Integration and Mastery Right now, we are in the phase of learning how to effectively integrate AI into workflows, products, and decision-making. The challenge isn’t access to AI. It’s execution. AI only creates value when it is seamlessly embedded into the way teams work. Otherwise, it’s just another tool sitting on the shelf. Most companies are in this phase. Experimenting with AI, adapting, and figuring out how to make it useful. This is what we’re working on at Dropbox. The hardest part isn’t adding AI features. It’s ensuring AI actually drives business impact. That means designing it to be reliable, invisible when it should be, and deeply integrated into how work gets done. Stage 2: Problem Definition and Prioritization Once we master integration, everything changes. Imagine having unlimited engineering resources. An infinite team that can flawlessly execute any well-defined problem. The constraint is no longer capacity. It’s about clarity. The winners in this next phase won’t just be the companies that adopt AI. They’ll be the ones that develop an exceptional ability to define the right problems to solve. Most organizations aren’t yet built for this shift. Today, prioritization is constrained by engineering bandwidth, forcing teams to focus on high-impact bets. But when execution becomes infinite, the ability to identify and articulate the highest-leverage problems, clearly and precisely, becomes the real competitive edge. For those of us leading product and strategy, that means: Now: Build the organizational muscle to effectively leverage AI. Next: Develop frameworks for identifying and defining the highest-value problems. Because in a world where execution is unlimited, clarity is everything.

@kylebrussell Great point. Don’t push it on me. Push it on vercel and send me the output.

@msg

@hnshah