Laura Thomas is a former CIA operations officer. Reading how she moved in 2021 from CIA ops into a quantum technology company offered insightful career transition advice for those leaving her agency. Most of her lessons were applicable to any government employee venturing out to the private sector. This is the first of her three-part series.

In the early stages of a startup your hypotheses about all the parts of your business model are your profound beliefs. Think of profound beliefs as “strong opinions loosely held.” You can’t be an effective founder or in the C-suite of a startup if you don’t hold any. Here’s how I learned why they were critical to successful customer development.

I just saw the movie Oppenheimer. A wonderful movie on multiple levels. But the Atomic Bomb story that starts at Los Alamos with Oppenheimer and General Grove misses the fact that from mid-1940 to mid-1942 it was Vannevar Bush (and his number 2, James Conant, the president of Harvard) who ran the U.S. atomic bomb program and laid the groundwork that made the Manhattan Project possible. Here’s the story.

I just spent a month and a half at Imperial College London co-teaching a “Wicked” Entrepreneurship class. In this case Wicked doesn’t mean morally evil, but refers to really complex problems, ones with multiple moving parts, where the solution isn’t obvious. (Understanding and solving homelessness, disinformation, climate change mitigation or an insurgency are examples of wicked problems. Companies also face Wicked problems. In contrast, designing AI-driven enterprise software or building dating apps are comparatively simple problems.)

Today, the U.S. is supporting a proxy war with Russia while simultaneously attempting to deter a China cross-strait invasion of Taiwan. Both are wakeup calls that victory and deterrence in modern war will be determined by a state’s ability to both use traditional weapons systems and simultaneously rapidly acquire, deploy, and integrate commercial technologies (drones, satellites, targeting software, et al) into operations at every level.

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 3½ 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.

Three types of organizations – Incubators, Accelerators and Venture Studios – have emerged to reduce the risk of early-stage startup failure by helping teams find product/market fit and raise initial capital. Venture Studios are an “idea factory” with their own employees searching for product/market fit and a repeatable and scalable business model. They do the most to de-risk the early stages of a startup.

A CEO running a B-to-B startup in needs to live in the city where their business is – or else they’ll never scale.

We just wrapped up the second year of our Technology, Innovation, and Great Power Competition class – now part of our Stanford Gordian Knot Center for National Security Innovation. Joe Felter, Raj Shah and I designed the class to 1) 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, and 2) offer insights on how commercial technology (AI, machine learning, 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).