“DeepSeek, a Chinese artificial intelligence startup, has rapidly risen to prominence with its efficient open-source AI models, shaking up the global AI market and sparking widespread discussions on the direction of AI development, international competition, and potential risks.”
01 The impact of the emergence of DeepSeek on global AI
The rise of DeepSeek, its impact on the global AI landscape, and future development trends.

1.The rise of DeepSeek
DeepSeek’s main breakthrough is the cost-effectiveness of its model development. Compared with US giants such as OpenAI, Google and Meta, DeepSeek’s model construction costs are significantly lower. For example, the training cost of the DeepSeek-R1 model is only US$5.6 million, which is much lower than other competitors. In addition, DeepSeek adopts an open source model that allows anyone to copy, download and build on it, which is in sharp contrast to some closed source models and promotes broader community participation and innovation.
2.DeepSeek’s impact on the global AI landscape
AI democratization: The open source nature of DeepSeek lowers the threshold for AI development, allowing small companies, start-ups, and individual developers to participate, promoting the democratization of AI.
- Increased competition: The rise of DeepSeek has intensified competition in the AI market, especially posing a challenge to companies such as Nvidia that rely on high-priced AI chips.
- Faster innovation: The open source model encourages collaboration and knowledge sharing, which may accelerate AI innovation and promote the development of a more inclusive AI ecosystem.
- Geopolitical implications: As a Chinese company, DeepSeek’s success has drawn attention to the competition between China and the United States in the field of AI and prompted countries to rethink their AI strategies.
3.Future development trends and challenges
DeepSeek’s success also comes with some challenges:
- Security concerns: The security of the DeepSeek model has been questioned, such as the risk of being maliciously exploited.
- Censorship allegations: DeepSeek faces accusations of censorship of its answers and training data.
- Data privacy: Like other AI models, DeepSeek also faces data privacy challenges.
The emergence of DeepSeek is an important event in the history of AI development. It not only challenges the existing AI landscape, but also provides new possibilities for the future development of AI. Open source and efficient AI models will become an important trend in future development, but issues such as security, privacy and ethics also need to be paid attention to. The future development of DeepSeek and its long-term impact on the global AI landscape remains to be seen.
02 The impact of the emergence of DeepSeek on global politics, economy and technology
DeepSeek, a Chinese AI startup, has risen rapidly with its high-performance, low-cost and open-source AI models and has had a profound impact on the global political, economic and technological landscape. The emergence of DeepSeek brings many impacts, as well as potential challenges and opportunities.

1.DeepSeek’s Impact on Technology
AI R&D paradigm shift: DeepSeek’s low-cost model development model challenges the R&D model of traditional AI giants such as Google, Meta and OpenAI, which rely on large amounts of funds and computing power. This may prompt a shift in AI R&D toward more efficient and streamlined approaches.
- Prosperity of the open source ecosystem: DeepSeek adopts an open source strategy to allow developers to freely access, modify and distribute its models, which will promote cooperation and innovation in the global AI community and accelerate the popularization and application of AI technology.
- Changes in computing power requirements: DeepSeek’s efficient model reduces the need for high-end AI chips, which may have an impact on the market share of hardware vendors such as Nvidia and promote the exploration of more cost-effective hardware solutions.
- Expansion of AI application scenarios: The performance and cost advantages of DeepSeek’s models make it easier to be applied to a wider range of fields, such as medical care, education, finance, etc., thus promoting the implementation and commercialization of AI technology.
2.economic impact
- Increasing technology competition: The rise of DeepSeek has intensified global technology competition, especially in the field of AI. This may prompt countries to increase investment in the field of AI and promote more intense technological innovation and market competition.
- Industrial structure adjustment: The popularization and application of AI technology will promote the transformation and upgrading of traditional industries and give birth to new business models and economic growth points.
- Reshaping of the global value chain: DeepSeek’s open source model and low-cost advantages may have an impact on the global AI value chain and prompt companies to rethink their positioning in the AI industry chain.
3.political influence
- National technology competition: The emergence of DeepSeek has intensified competition between China and the United States in the field of AI and may trigger other countries to re-evaluate their own AI strategies.
- Technical regulatory challenges: DeepSeek’s open source model and rapid development have brought new challenges to governments’ AI regulation, such as how to balance technological innovation and security risks, how to regulate data privacy and use, etc.
- Opportunities for international cooperation: DeepSeek’s open source model also provides new opportunities for international cooperation. For example, countries can jointly participate in the formulation of AI technology standards, data sharing and security supervision.
4.challenges and opportunities
The development of DeepSeek also faces some challenges, such as data security, model interpretability, potential bias and abuse, etc. In addition, DeepSeek’s open source model may also lead to technology proliferation and intensified competition, posing challenges to the technological leadership of some countries.
However, the emergence of DeepSeek also brings new opportunities. It can promote the democratization of AI technology, lower the threshold for AI application, and promote the prosperity of the global AI ecosystem.
The emergence of DeepSeek has had a profound impact on the global political, economic and technological landscape. It not only changes the AI R&D paradigm, but also intensifies global technology competition and poses new challenges to governments’ AI regulation. In the future, how to deal with the challenges and opportunities brought by DeepSeek will become an important topic that governments, enterprises and research institutions around the world need to think about together.
03 DeepSeek’s impact on cross-border e-commerce
DeepSeek, an open source AI model from China, is rapidly changing the cross-border e-commerce landscape with its powerful natural language processing capabilities and relatively low cost. How DeepSeek affects all aspects of cross-border e-commerce and the opportunities and challenges it brings.

1.DeepSeek’s positive impact on cross-border e-commerce
- Improve customer service efficiency: DeepSeek can support 24/7 automated customer service, quickly respond to customer inquiries, handle order status updates, returns, product recommendations, etc., thereby significantly reducing manual customer service costs and improving customer satisfaction.
- Optimize product descriptions: DeepSeek can automatically generate multi-lingual, high-quality product descriptions and optimize them for search engines, thereby increasing product exposure and conversion rates.
- Personalized marketing content: DeepSeek can generate personalized marketing content such as emails, social media posts, and product recommendations based on user data and preferences, thereby increasing the accuracy and effectiveness of marketing campaigns
- Improved inventory management: DeepSeek can analyze historical sales data and market trends, predict future demand, and optimize inventory levels, thereby reducing the risk of overstocking and out-of-stocks.
- Reduce operating costs: By automating processes such as customer service, product description generation, and marketing content creation, DeepSeek can help cross-border e-commerce companies reduce operating costs and improve efficiency.
- Empowering small and medium-sized enterprises: DeepSeek’s open source and low-cost advantages make it easier to be adopted by small and medium-sized cross-border e-commerce companies, thereby helping them improve their competitiveness and participate in broader international market competition.
2.Challenges posed by DeepSeek
- Data security and privacy: Using DeepSeek requires processing a large amount of user data, which requires cross-border e-commerce companies to pay attention to data security and privacy protection and comply with relevant laws and regulations.
- Model accuracy and reliability:* Although DeepSeek’s performance continues to improve, its accuracy and reliability still need to be improved in some specific scenarios.
- Cultural differences and language barriers: Cross-border e-commerce involves different cultural backgrounds and languages. DeepSeek needs to continuously adapt to these differences in order to better serve global users.
- Ethics and social responsibility: Like other AI technologies, the application of DeepSeek also needs to consider ethics and social responsibilities, such as avoiding algorithmic discrimination, the spread of false information and other issues.
3.Opportunities and prospects
The emergence of DeepSeek has brought new development opportunities to cross-border e-commerce. In the future, with the continuous advancement of technology and the expansion of application scenarios, DeepSeek will play a greater role in the following aspects:
- Intelligent supply chain management: DeepSeek can help cross-border e-commerce companies optimize their supply chains, improve logistics efficiency, and reduce costs.
- Precision marketing: DeepSeek can help cross-border e-commerce companies more accurately locate target customers and improve the conversion rate of marketing activities.
- Personalized shopping experience: DeepSeek can provide consumers with a more personalized shopping experience, such as personalized product recommendations, virtual fitting rooms, etc.
DeepSeek is profoundly changing the landscape of cross-border e-commerce. It brings many advantages to cross-border e-commerce companies, such as reducing costs, improving efficiency, and improving customer experience, but it also brings some challenges. Cross-border e-commerce companies need to actively embrace new technologies and effectively respond to challenges in order to stand out in the fierce market competition.
Ending Liang Wenfeng, founder of DeepSeek
Liang Wenfeng, the founder of DeepSeek, is a low-key technology entrepreneur.

He holds bachelor’s and master’s degrees in information and communication engineering from Zhejiang University. This laid a solid technical foundation for his future entrepreneurship in the technology field. Before founding DeepSeek, Liang Wenfeng was a quantitative hedge fund manager. He co-founded High-Flyer in 2015, a hedge fund firm that uses “mathematics and artificial intelligence” to create investment strategies. High-Flyer It created its first artificial intelligence model as early as October 2016 and has gradually applied AI models to almost all stock investment decisions. This experience gave him a deep understanding of the applications and potential of AI technology. Liang Wenfeng founded DeepSeek in 2023. He reportedly started the business with $1.4 million in initial funding. In the company’s early days, DeepSeek was unable to obtain Nvidia’s high-end GPUs due to the U.S. chip embargo against China, which forced them to focus on optimizing the performance of their existing hardware, ultimately achieving remarkable results.
[1](https://www.forbes.com/sites/tylerroush/2025/01/28/who-is-behind-deepseek-heres-what-to-know-about-founder-liang-wenfeng/)。There is relatively little public information about Liang Wenfeng. He appears to be an entrepreneur more focused on technology and product development than a business leader keen on public exposure.
All in all, Liang Wenfeng’s experience shows his cross-border development path from academic research to financial investment to AI entrepreneurship. His early quantitative investment experience has accumulated rich experience in AI applications, while his educational background at Zhejiang University has provided him with a solid technical foundation. These have laid the foundation for DeepSeek’s success.