For AI enterprises, expanding overseas is no longer a simple market expansion but has become a symbolic pursuit. However, there are four misconceptions about going global that need attention:
Firstly, the content risk overseas is not necessarily lower than that of the domestic market. For instance, the risk of MiniMax’s Talkie being taken off the shelves abroad highlights that content regulation overseas can be equally stringent. Cultural differences and strict regulations are factors that AI companies must navigate carefully.
Secondly, AI enterprises should not follow the traditional SaaS path when going overseas. Avoid the pitfalls of competing solely on price and getting trapped in customized services. Overseas customers prioritize the product itself over personalized services.
Thirdly, AI companies do not need to wait until the domestic market is fully mature before venturing abroad. From the very first day of product launch, the focus should be on the global market, shifting the perspective from going overseas to a global mindset.
Lastly, the cost of computing power is not the most critical factor; stability is key. Overemphasis on cost savings may lead to pitfalls, and a stable GPU cluster is vital for user experience.
AI enterprises must recognize these misconceptions and adopt a global perspective to succeed in overseas markets. Here’s the core content formatted for a WordPress blog:
AI companies are increasingly looking to expand overseas, but they must avoid four common misconceptions.
1. Content Risk: The assumption that overseas content risks are lower than domestic is flawed. The high cultural sensitivity and emphasis on political correctness in foreign markets can lead to products being taken down for content violations.
2. SaaS Path: It’s a mistake to continue down the traditional SaaS route. Overseas customers value the product itself more than the services that accompany it.
3. Global From the Start: There’s no need to wait until everything is perfect at home before launching abroad. Products should be developed with a global audience in mind from day one.
4. Computing Power: While cost is important, stability of computing power is paramount. A focus on cost alone can compromise user experience, making a stable GPU cluster essential.
By understanding these pitfalls and embracing a global perspective, AI enterprises can navigate the complexities of international markets and achieve success.
