There is a number that floats around Washington, DC, circles about how much the Chinese government is projected to spend on AI: $70 billion by 2020, up from an estimated $12 billion in 2017. The figure was originally shared in a speech by a top US Air Force general in 2018, but where it comes from is something of a mystery. Nonetheless, it has helped fan a deep-seated fear within the policy community that the US is sorely losing in the so-called AI arms race.
As the narrative goes, China is greatly outspending the US not only in total research, but specifically in military AI. If the US does not make aggressive moves to catch up, the country—and democracy—will be doomed.
But new estimates from the Center for Security and Emerging Technology (CSET) show that China is likely spending far less on AI than previously assumed. Additionally, most of its AI money seems to be going to non-military-related research, such as fundamental algorithm development, robotics research, and smart-infrastructure development. By contrast, the US’s planned spending for fiscal year 2020 allocates the majority of its AI budget to defense, which means it could possibly outspend China in that category. In other words, the numbers directly oppose the prevailing narrative.
The researchers at CSET approximated the upper and lower bounds of China’s AI investments for the year 2018 by cross-referencing its ministry of finance’s national expenditure report with other government agencies’ funding calls and abstracts from researchers describing agency-funded projects. The findings are still preliminary, given that they are based on several assumptions. But the researchers have high confidence that their analysis at least confirms that China’s spending is nowhere near existing claims.
The report underscores the amount of exaggeration and fear-mongering dominating DC’s conversations around AI strategy. As OneZero reported from this year’s National Security Commission on Artificial Intelligence conference, it has even become a primary tool for the Pentagon to recruit help from tech companies.
But experts have warned that this attitude could ultimately hurt US AI development by focusing too much on military AI and too little on more fundamental research, by proposing sweeping export controls that undermine US businesses, and by restricting the kinds of international collaborations that have underpinned major advancements in the field.
Corrections: The article's language was updated to be more cautious about the estimates for China's military AI spending and to clarify details of CSET's methodology. A source was also added for the US data displayed in the chart.
South Africa’s private surveillance machine is fueling a digital apartheid
As firms have dumped their AI technologies into the country, it’s created a blueprint for how to surveil citizens and serves as a warning to the world.
A quick guide to the most important AI law you’ve never heard of
The European Union is planning new legislation aimed at curbing the worst harms associated with artificial intelligence.
Inside the fierce, messy fight over “healthy” sugar tech
Yi-Heng “Percival” Zhang was a leader in rare sugar research. Then things got sticky.
The secret police: Inside the app Minnesota police used to collect data on journalists at protests
Intrepid Response is a little-known but powerful app that lets police quickly upload and share information across agencies. But what happens to the information it collects?
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.