Western tech giants have long been considered to be the dominant force in the AI market. In 2025, the top players are expected to put more than $300 billion into AI development. Just Amazon alone plans to fork over $100B.
But the emergence of the Chinese DeepSeek became a major tipping point. It signalled that the balance of power in AI might shift rapidly. A number of governments worldwide were quick to ban the new AI model over various security concerns. But it doesn’t change the fact that many businesses have started paying attention. They haven’t stopped in the efforts to adopt this tech, and startups, in particular, love the low costs that DeepSeek offers.
But is it truly the future of AI, or will it be pulled under because of all the risks? Whoever wins or loses, the AI race will reshape many things. Investors have to keep a close eye on things in order to avoid betting on the losers.
Let’s see how the markets are already responding to the ongoing competition.
DeepSeek Shifts AI Development
The arrival of DeepSeek has shown that China can be a serious contender in shaping the future of the AI industry. Admittedly, research by Cisco has proven that the model has plenty of mistakes and hallucinations, so it’s not particularly better than the already established players like OpenAI’s ChatGPT or Anthropic’s Claude. But the simple fact that China could so rapidly close the tech gap and offer a serious challenge has all but blown up the Internet.
And yet, such rapid growth is not without risks. Unlike Western AI firms, Chinese developers seem to prioritize speed and mass adoption over security. Because of security risks and concerns about data privacy, DeepSeek has been banned in a number of countries. At the same time, these reasons have led to big attention to the Chinese AI model and raised many questions about what threats this application can pose.
And yet, despite the drawbacks and official bans, its adoption has achieved a huge pace. In January 2025 alone, the DeepSeek app was downloaded over 10 million times.
How the AI Race Affects Investor Sentiment
Without a doubt, AI development is causing big waves in the market and affecting investment strategies. When DeepSeek was introduced Nvidia's stock value dropped by nearly 600 billion U.S. dollars just overnight. In the history of the US market, this was one of the biggest falls.
Investors fear missing out on investments in emerging technologies. Moreover, many of them even bet that If AI can be trained more efficiently, it means that companies like Nvidia and Microsoft may need to rethink their spending.
Nevertheless, I am of the opinion that Western BigTechs still have many advantages to their name: strong data, global reach and vast customer base, deep industry connections, and more. DeepSeek’s success is now pushing them to up their game and keep improving, but it doesn’t nullify all the progress they’ve achieved so far.
Whether or not U.S.-based AI companies can remain competitive is the big question for many today. And, personally, I think that the answer is “yes.” In all likelihood, they will simply adjust by making their AI models more efficient and affordable to compete with DeepSeek’s lower costs.
There is also the fact that these companies will be supported by President Trump’s administration. He views AI as a tool for gaining a competitive advantage over China and calls for maintaining global leadership in AI technology. As such, Trump’s future AI policies are very likely to have a positive effect on the local players, furthering their growth.
The Role of Regulation in Shaping the AI Market
As AI competition grows more intense, governments are taking more proactive roles in regulating the sector. The problem, of course, is that the technology keeps evolving far faster than the existing regulatory frameworks can keep up.
In addition to Trump’s stance, governments in other countries are adopting varying approaches to the AI problem. The UK, for example, has introduced an AI-focused Code of Practice to improve cybersecurity and make AI models safer.
And in the EU, meanwhile, we have OpenEuroLLM — an initiative launched by a group of regional research institutes to develop LLMs that better align with the European regulatory framework. It would also help reduce the reliance on U.S. developments.
These measures highlight a growing trend: nations are trying to build and protect their own AI ecosystems. But they don’t really solve the problem of global control over AI development. China, for one, continues to follow its own regulatory playbook, without much regard for Western requirements.
As long as countries act on their own, businesses and investors will continue to face uncertainty over how AI models will be treated in different markets. An international approach is needed for truly effective regulation, but at the moment, it is not even being discussed at the global level. This is something that I believe will have to change if AI technology is to achieve truly global adoption.
What’s Next?
DeepSeek is a testimony that the tech industry is undergoing a big transformation. Chinese companies are not lagging behind anymore—they are riding the wave of the AI race and changing the power in the market.
For investors and entrepreneurs, this means new opportunities but also new risks. AI is no longer a Western-dominated field, and the competition is only going to get more intense from here on out. Of course, for investors, that growth in AI development means that they will have more options when choosing whom to trust.
Meanwhile, though the growth pace is high, regulatory uncertainty still remains. Participants of this market will have to continue keeping a close eye on policy developments in different jurisdictions.
But one thing will be for sure. AI adoption is the largest technological evolution in modern history. The question is how well businesses and investors can adapt to this transformation and who will get left behind.
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