Londonchiropracter.com

This domain is available to be leased

Menu
Menu

Why China’s Communist approach to AI is a blueprint for second place

Posted on January 31, 2022 by admin

There are few more compelling story lines at the intersection of Wall Street and Fear Street than China‘s rise to global prominence in the field of artificial intelligence.

You don’t have to look very far to find a military or financial expert who believes China‘s AI program will some day surpass the capabilities of its democratic counterparts in Silicon Valley.

But, as we’ve written before, the idea that China is in second place behind the US is a bit misleading. Sure, it’s technically correct, but we’re talking about a very distant second place. Currently, it would be a huge stretch to call it a race.

China‘s main advantage, when it comes to AI, is socialized data. But data can only take a nation so far.

If you’re trying to optimize the national healthcare program, for example, having unfettered access to the private data of billions of citizens is invaluable. However, personal information isn’t exactly useful if you’re training drone swarms to identify and assault soft targets.

Communism

The means of production, in 1949, when the People’s Republic of China was formed, was agriculture and industry. Today, it’s technology.

The advent and implementation of deep learning has lead to a revolution in China‘s healthcare and infrastructure. Since 2018 the PRC’s expanded it’s national insurance to cover nearly every citizen in China.

Doctor and author Eric Topol described the impact AI’s had on that growth in a recent article by Eleanor Olcott for the Financial Times:

China has shifted faster than the US in medical AI from research to implementation, driven in part by the availability of high-quality data, says Topol. “China has a massive data advantage when it comes to medical AI research,” he says, explaining that Chinese researchers can train AI models on data sets covering entire provinces.

In contrast, their US counterparts are restricted to working with information from single hospitals — largely operated by private businesses that keep records on internal servers.

This paints the picture of a disjointed US medical system and, in many regards, it’s true. There’s little hope the US can ever hope to accomplish through capitalism what socialized medicine in a communist system can. However, there’s more to prosperity than free healthcare.

Capitalism

Where China‘s able to convert citizen data into internal action policies, capitalist practices have allowed US AI companies to thrive in ways their counterparts in China and the EU aren’t able to.

In China, government restrictions prevent its top AI firms from prospering on the global stage in the same ways as Meta, Google, Microsoft, or Apple. And the presence of regulations limits the EU market in ways Silicon Valley doesn’t. As icing on the cake, most big tech companies in the US pay little or no taxes. 

This leaves US soil fertile for the development of monolithic business empires with a GDP eclipsing many modernized countries. And, with that prosperity, comes a much easier time recruiting the world’s most talented scientists and developers.

Toss in the fact that a significant portion of cutting-edge academic research in the US and around the globe is funded by DARPA, the Pentagon’s think tank, and the communist advantage is minimized beyond the PRC’s own borders.

The long run

Communism and socialized data gives the Chinese government carte blanche to develop bespoke systems for its citizens. As with any walled-garden, it’s easy to share the benefits contained within. But the PRC is non-competitive when it comes to luring outside talent.

And that goes for corporate buyouts and mergers as well. While Tencent and Baidu may have an enormous presence in the global AI market, there’s no reality where DeepMind gets purchased by a Chinese corp over a US one.

It’s beyond the scope of this article to argue the benefits of AI-powered socialized healthcare versus having big tech run wild with user data as it does in the US.

But any conversation around the “AI race” should be prefaced by the knowledge that the combined resources, scientific contributions, and technological superiority shared by US academic and corporate institutions in the field of AI is more than enough to overcome the advantages given China by its policy of socialized data. 

It’s likely that China‘s approach to AI will result in revolutionary new achievements in its healthcare and infrastructure programs. But, arguably, those are areas where Canada, the Netherlands, Japan, and dozens of other countries also outperform the US. 

Source

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recent Posts

  • Jeff Bezos’s representative just left the board of a startup that raised $1.4 billion on his name. The first truck has not been built.
  • Quantum Motion lands $160m in EU’s first major late-stage commitment
  • Google’s AI Overviews killed 58 per cent of publisher clicks. Now it is adding a ‘Further Exploration’ section to bring some back.
  • Snap lost a 400 million dollar AI deal, 20 million dollars a month to the Iran war, and 24 per cent of its stock price. The AR glasses had better work.
  • The UAE’s AI champion just leased a converted Minneapolis office. The irony writes itself.

Recent Comments

    Archives

    • May 2026
    • April 2026
    • March 2026
    • February 2026
    • January 2026
    • December 2025
    • September 2025
    • August 2025
    • July 2025
    • June 2025
    • May 2025
    • April 2025
    • March 2025
    • February 2025
    • January 2025
    • December 2024
    • November 2024
    • October 2024
    • September 2024
    • August 2024
    • July 2024
    • June 2024
    • May 2024
    • April 2024
    • March 2024
    • February 2024
    • January 2024
    • December 2023
    • November 2023
    • October 2023
    • September 2023
    • August 2023
    • July 2023
    • June 2023
    • May 2023
    • April 2023
    • March 2023
    • February 2023
    • January 2023
    • December 2022
    • November 2022
    • October 2022
    • September 2022
    • August 2022
    • July 2022
    • June 2022
    • May 2022
    • April 2022
    • March 2022
    • February 2022
    • January 2022
    • December 2021
    • November 2021
    • October 2021
    • September 2021
    • August 2021
    • July 2021
    • June 2021
    • May 2021
    • April 2021
    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020

    Categories

    • Uncategorized

    Meta

    • Log in
    • Entries feed
    • Comments feed
    • WordPress.org
    ©2026 Londonchiropracter.com | Design: Newspaperly WordPress Theme