The global AI race was supposed to be a sprint. Back in 2017 when driverless cars and domestic robots were thought to be just around the corner, the promise of deep learning made it seem like we were mere months away from living in an AI-powered utopia.
As it turns out, the global AI race is more of a marathon. And the US has a huge lead that’ll be difficult to overcome for any country, but especially China.
The setup
It was easy to believe China would pull ahead a few years ago. US big tech companies such as Microsoft and Apple had always co-existed with eastern outfits. But, once deep learning exploded in 2014, many experts believed China would use its government influence to direct the flow of research in ways the EU and US’ respective leaders simply couldn’t.
And, for a while, it looked like that was going to be enough to propel the PRC to the top of the global AI leaderboards.
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In the west, a lion’s share of AI research ends up patented by businesses who keep their algorithms in a walled-garden. But in the east things are different.
Per an article in theHarvard Business Review:
Unlike in Western developed economies where companies are the primary holders of AI patents, in China, the majority of AI patents are filed by universities and research institutes, most of which are government owned or sponsored.
China’s big problem
The biggest problem China has when it comes to AI is a lack of innovation. Consumer demand is at an all-time high for deep learning technologies in China, but this social trend isn’t translating into breakthroughs.
In essence, China is still playing catch up. The Chinese government may be pouring more money into research and producing more of it, but US tech companies are raising and spending more on research outside of academia.
The US government stillspends more on defense AIthan China, and US businesses spend more money oncutting-edge researchthan Chinese companies do.
Simply put, the biggest technology companies in the US can afford to invest in breakthrough research even when such research leads nowhere. The profit margins are much leaner at most Chinese firms so the incentive is typically onproducing a profit.
Unfortunately for China, much of its AI position is rooted in developing Chinese-language versions of language recognition software and creating surveillance technology – neither of those are very marketable outside of places where Chinese is spoken or where privacy laws exist.
What it all means
Deep learning might not bethe best path forward for artificial intelligencetechnologies. This is great news for big tech companies in the US. But it’s bad news for China.
In the US, where most of the AI breakthroughs tend to come from big tech companies with large enough coffers to afford supercomputers and high enough salaries to lure away academia’s brightest, scientists won’t miss a beat if we transition away from deep learning.
But China’s heavily-saturated market likely won’t extend beyond its own bubble, much less the deep learning bubble that could pop and leave AI-only companies behind. There’s a reason why there’s only one Chinese firm among thetop five richest technology companiesin the world.
It’ll be tough for academia in China to keep up with big tech in the US no matter how much data it can generate or acquire.
We’re more likely to see these kinds of catch-up cycles end in cooling-off cycles when heavy government investment doesn’t pay off. China could be headed for an AI winter.
Story byTristan Greene
Tristan is a futurist covering human-centric artificial intelligence advances, quantum computing, STEM, physics, and space stuff. Pronouns:(show all)Tristan is a futurist covering human-centric artificial intelligence advances, quantum computing, STEM, physics, and space stuff. Pronouns: He/him
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