Steve Blank Podcast

Despite the clear and present danger of threats from China and elsewhere, there’s no agreement on what types of adversaries we’ll face; how we’ll fight, organize, and train; and what weapons or systems we’ll need for future fights. Instead, developing a new doctrine to deal with these new issues is fraught with disagreements, differing objectives, and incumbents who defend the status quo. Yet change in military doctrine is coming. Deputy Defense Secretary Kathleen Hicks is navigating the tightrope of competing interests to make it happen – hopefully in time.

We just wrapped up the third year of our Technology, Innovation, and Great Power Competition class –part of Stanford’s Gordian Knot Center for National Security Innovation. Joe Felter, Mike Brown and I teach the class to: Give our students an appreciation of the challenges and opportunities for the United States in its enduring strategic competition with the People’s Republic of China, Russia and other rivals. Offer insights on how commercial technology (AI, autonomy, cyber, quantum, semiconductors, access to space, biotech, hypersonics, and others) are radically changing how we will compete across all the elements of national power e.g. diplomatic, informational, military, economic, financial, intelligence and law enforcement (our influence and footprint on the world stage). Expose students to experiential learning on policy questions. Students formed teams, got out of the classroom and talked to the stakeholders and developed policy recommendations.

We just finished the 6th annual Lean LaunchPad class. This year we made a small but substantive addition to way we teach the class, adding a week for reflection. The results have made the class massively better.

Artificial Intelligence has been the technology right around the corner for at least 50 years. Last year a set of specific AI apps caught everyone’s attention as AI finally crossed from the era of niche applications to the delivery of transformative and useful tools – Dall-E for creating images from text prompts, Github Copilot as a pair programming assistant, AlphaFold to calculate the shape of proteins, and ChatGPT 3.5 as an intelligent chatbot. These applications were seen as the beginning of what most assumed would be domain-specific tools. Most people (including me) believed that the next versions of these and other AI applications and tools would be incremental improvements. We were very, very wrong.

Data shows that pre-seed and seed startups with employees showing up in a physical office have 31⁄2 times higher revenue growth than those that are solely remote. Let the discussion begin. During the pandemic, companies engaged in one of the largest unintended experiments in how to organize office work – remotely, in offices, or a hybrid of the two. Post-pandemic, startups are still struggling to manage the best way to manage return-to-office issues – i.e. employee’s expectations of continuing to work remotely versus the best path to build and grow a profitable company.