The long AI career continues its course, and although it seemed that the United States had taken the lead, China has managed to recover the lost terrain and stand up to North American Big Tech . The funny thing is that the approaches of these two countries are totally different, and that makes great losers and winners here, both in the short and long term.
US for the AGI
The North American country has a very different strategy from that of China regarding artificial intelligence. Large technology companies are investing billions of dollars in search of that holy grail called Artificial General Intelligence (AGI) .
China, More Pragmatic
On the other hand, China has adopted a different and much more pragmatic strategy. Instead of pursuing grand objectives that are far from being achieved, the Chinese government, led by Xi Jinping , is prioritizing the development of practical applications of AI that are efficient and have limited implementation costs, if not low.
Promises, Promises
The difference between both visions is huge and illustrates the mentality with which both countries approach their efforts. US companies believe that AGI is close, despite the fact that some experts argue that generative AI may not be the proper route to achieve this goal.
The Manhattan Project of AI
This obsession with AGI seems to drive certain visionary theorists seeking a military advantage that such an intelligence could provide. For certain political sectors in the U.S., the development of AGI is likened to the Manhattan Project , which was responsible for building the atomic bomb during World War II. However, experts explain that the Manhattan Project was not just three years of work, but was built on studies and research that had been conducted for three decades in a U.S. that looked at the long term.
China Wants to Be Useful Today
This approach starkly contrasts with that of China. Xi Jinping has not shown particular interest in AGI; instead, his focus is on practical applications of AI that lend immediate value. This has led to the development of AI models in China that are already assisting with daily tasks.
Practical Applications
For instance, as noted by the Wall Street Journal, AI in China is being used to evaluate access exams for high school, improve weather forecasts, and assist in agriculture through optimized crop rotation methods. The U.S. also employs AI in these sectors, showcased through projects like Google Weather Lab and AlphaFold 3 used for drug development.
Chinese Government Support
While both countries have made strides in practical applications, the distinguishing factor lies in the strong government support for AI in China. Beijing is investing heavily, with a remarkable $8.4 billion investment fund aimed at supporting startups, along with initiatives from local governments and state banks.
And Open Models
Another significant divergence in the two strategies is the nature of their AI models. U.S. companies typically employ closed, proprietary models, while China favors open-source models . These open models can be downloaded and freely modified, significantly reducing the cost of technology implementation for companies wishing to adapt it for their specific needs.
The Trade War Conditions Everything
Additionally, trade restrictions imposed by the U.S. affect the development of AI chips and software in China. This situation has led the Asian giant to adopt an interesting tactic: allowing the U.S. to bear the costs associated with exploring new paths for AI development, then following suit rapidly without enduring those hefty investments.
Risk Aversion
Though Xi Jinping may one day pursue an AGI strategy, experts suggest that this will only happen once he perceives a substantial chance of success. Kendra Schaefer from the Trivium consulting firm elucidates that the Communist Party is among the most risk-averse governments globally. According to her, the Chinese government is “one of the most reluctant governments to take risks.”
In conclusion, the divergent paths taken by the U.S. and China in the realm of AI reflect their respective national objectives, economic strategies, and societal values. As the competition escalates, both countries continue to shape the future of artificial intelligence in ways that will likely influence global dynamics for decades to come.