Is DeepSeek a Sputnik Moment? Let's break it down. The Soviet Union's October 1957 launch of the world's first artificial satellite, Sputnik 1, stunned the U.S., which reckoned it had a commanding lead in "the Space Race." (It turns out the U.S. had the capability of launching a satellite before Sputnik, but held off for various reasons.)

That a geopolitical rival had reverse-engineered advances and leapfrogged the U.S. shocked America into a multi-decade response that culminated, at least in the public perception, in America winning "the race to the Moon" by landing the first humans on the Moon in July, 1969 in the Apollo 11 mission.

The shockwaves generated by a Chinese company's release of a suite of AI tools called DeepSeek last week may well rival the Sputnik shock, as the DeepSeek AI tools appear to meet the same benchmarks as AI tools such as those issued by OpenAI and other companies, but requiring far less computing resources.

DeepSeek achieves its capabilities not from expensive hardware (processors) but from advances in software that can be used on smartphones. The software innovations embedded in DeepSeek have profound financial implications for the companies that manufacture the costly processors needed by conventional AI data centers--Nvidia is the dominant chipmaker in this market--and the Big Tech companies spending billions of dollars (called capex in the financial realm, short for capital expenditures) to create AI tools that they can eventually sell via the subscription model.

DeepSeek software evaporates 1) the need for super-energy-hungry, super-expensive processors, 2) vast quantities of electricity and 3) the market for paid subscription AI tools, as DeepSeek's software runs on standard processors and it's been released as open-source software which can be downloaded and run offline on local resources such as PCs or smartphones.