Technology, Innovation, and Great Power Competition – Class 5 – AI and Machine Learning

We just completed the fifth week of our new national security class at Stanford – Technology, Innovation and Great Power Competition. Joe Felter, Raj Shah and I designed the class to cover how technology will shape all the elements of national power (America’s influence and footprint on the world stage). In class 1, we learned that national power is the combination of a country’s diplomacy, information/intelligence, its military capabilities, economic strength, finance, intelligence, and law enforcement. This “whole of government approach” is known by the acronym DIME-FIL. Class 2 focused on China, the U.S.’s primary great power competitor. China is using all elements of national power: diplomacy (soft power, alliances, coercion), information/ intelligence, its military might and economic strength (Belt and Road Initiative) as well as exploiting Western finance and technology. China’s goal is to challenge and overturn the U.S.-led liberal international order and replace it with a neo-totalitarian model. The third class focused on Russia, which since 2014 has asserted itself as a competing great power. We learned how Russia pursues security and economic interests in parallel with its ideological aims. At times, these objectives complement each other. At other times they clash, as Russian policy is run by Vladimir Putin and his political institutions. The fourth class shifted our focus to the impact commercial technologies have on DIME-FIL. The first technology we examined were semiconductors, the oil of the 21st century. The U.S. is dependent on TSMC, located in Taiwan, for its most advanced logic chips. This is problematic as China claims Taiwan is a province of China.