As I reflected on the past year marked by the devastating Israel-Hamas conflict and, more recently, China’s rapid advancements in artificial intelligence (AI)—highlighted by a lengthy CNBC video posted on YouTube titled “How China’s new AI model DeepSeek is challenging U.S. supremacy” on January 25—I also noted an article from The Economist dated January 23 called “Chinese AI is closing the gap, putting pressure on former President Trump.” This topic has sparked extensive discussions about the traditional high-capital investment approach seen in Silicon Valley versus the cost-effective strategy employed by models like DeepSeek.
This debate has driven significant growth within the technology sectors of both mainland China and Hong Kong stock exchanges. However, it simultaneously triggered corrections or pauses among AI-related equities traded in the United States, impacting not just those specific companies but spreading across wider segments of the American financial markets as well.
Moreover, one cannot overlook Malcolm Gladwell’s influential piece originally featured in the New Yorker on May 11, 2009, later developed into his book “David vs. Goliath: Underdogs, Misfits, and the Art of Battling Giants.” I strongly suggest reading either version; they offer profound insights worth considering.
The most striking example of lopsided triumph in warfare during my time would be Vietnam’s remarkable defeat of the U.S., following their earlier victories against France and lesser-known Japan. The latter withdrew plans to occupy Vietnam just as the Pacific part of World War II was concluding.
When one party is significantly stronger or weaker compared to the other, both sides typically adopt distinct tactics or strategies to secure victory or prevent loss. This often involves the dominant entity leveraging extensive resources to overpower competitors, whereas the less potent side employs alternative methods without directly challenging the superior force head-on. A case in point would be how Vietnam countered French and American forces during conflicts by adhering to their own strategic approaches rather than those dictated by these nations due to their substantial military superiority. Similarly, as mentioned in Malcolm Gladwell’s essay, an underdog girls’ basketball squad managed to consistently outperform their formidable rivals through relentless application of a full-court press throughout games.
The recent developments in artificial intelligence are largely centered around the competition between the United States and China, which stand out as the leading economic powers and hubs of technological advancement. Both nations have adopted distinct strategies towards harnessing AI opportunities.
In Western markets, prominent technology firms such as Microsoft, Google, and Meta along with several others are developing exclusive AI systems and products. For instance, Microsoft features an extensive segment dedicated to its AI-driven assistant named Copilot on their website. The platform offers individual access via Copilot alongside organizational use through 365 Copilot. Customization options include utilizing Copilot Studio or constructing personalized applications using Azure AI Foundry’s resources, services, or solutions. Similarly, Google boasts technologies like DeepMind coupled with comprehensive training tools. Meanwhile, Meta operates under its banner known as Meta AI. Notably, Google faces significant pressure since traditional search functionalities could be overshadowed by emerging platforms similar to ChatGPT unless bolstered by advanced AI capabilities; this concern was highlighted in Bloomberg’s podcast released on March 24th discussing these issues.
In China, developments extend beyond DeepSeek. If possible, check the Bloomberg piece from March 25 titled “After DeepSeek’s Success, China Massively Expands Global Reach With AI Models.” You might also find value in reading a synopsis and key points provided by Bloomberg AI for insights. According to the report, over the past couple of weeks alone, leading entities have unveiled “at least ten significant new product launches or upgrades.” It seems neither prominent U.S. nor Chinese technology firms became reactive to AI suddenly; instead, they foresaw its significance and had been proactive—often participating in ongoing AI projects—to develop exclusive AI technologies and offerings.
Recently, several significant artificial intelligence projects have been unveiled by prominent Chinese tech companies. As mentioned in a Bloomberg report: Baidu Inc. launched the Ernie X1 to rival DeepSeek’s R1. In response, Alibaba Group Holding Ltd. introduced new AI entities along with an enhanced reasoning model. Within just one week, Tencent Holdings Ltd. presented their strategic plan for AI development alongside a counter-proposal to the R1. Additionally, Ant Group Co. disclosed research indicating that domestic semiconductor improvements could reduce expenses by 20%. Meanwhile, DeepSeek advanced its V3 version. Interestingly, even Meituan, renowned globally as the largest food delivery platform, declared investments amounting to billions of dollars into AI technology.
The primary distinction between American and Chinese AI models lies in their approach. Leading Western companies develop advanced and exclusive technologies. In contrast, China tends toward open-source solutions that are frequently offered for free or at minimal costs, aiding these models in capturing more of the market and establishing new benchmarks and standards.
This situation has compelled American and Western strategies to adjust their models once again. As stated in the same piece—“For instance, OpenAI is currently attempting to find a delicate equilibrium. Following DeepSeek’s successes using an open-source method, the creator of ChatGPT mentioned they’re considering sharing certain technologies. Simultaneously, OpenAI continues to contemplate significantly increasing prices for their advanced offerings. Should this cost-effective blueprint set forth by DeepSeek be imitated widely, it could potentially diminish profit margins for companies like Nvidia, which focuses on high-priced AI processors,” explained Amr Awadallah, CEO and founder of Vectara Inc.
In recent years, Chinese firms have edged out international competitors across various sectors such as electric vehicles and solar panels by producing more efficiently and offering lower prices. This trend appears to be repeating itself in the field of artificial intelligence.
It seems similar to what’s going on with electric vehicles from Tesla and BYD.