In 2024,"AI"was still a concept and vision confined to white papers;by 2026,it had become a budget item for most G20 member countries.According to the AIIndex released by the Center for a New American Security(CNAS),more than 50 countries and nearly 130 AI projects are underway globally.From"borderless cloud"to"distributed zones,"the global digital landscape is undergoing a profound structural transformation.
What does this transformation mean for companies going global?Simply put—your overseas operations must have local servers.This isn't technical advice,but a survival rule.
What is AI?Why has it suddenly become a global focus?
AI refers to a country's or entity's ability to independently develop,deploy,and govern artificial intelligence within its own legal,ethical,and security framework.The"Global Large Model Development White Paper"released by the Zhongguancun Forum defines it as"a country's ability to independently develop,deploy,and manage AI infrastructure."
The core driving force of AI lies in resistance to"data colonialism."For a long time,data has been extracted and processed in the hyperscale data centers of a few global technology giants,resulting in local entities losing control over their core digital assets.Data and models have become core means of production,and their control is directly related to national security,cultural heritage,and the economic lifeline.
It is against this backdrop that AI has rapidly evolved from an academic concept into a policy reality.In 2026,the global landscape is undergoing a structural shift from"borderless cloud"to"distributed zones."IDC predicts that by 2028,approximately 60%of multinational companies will need to divide their AI technology stacks across different regions.
Data is not an"optional"issue,but a"mandatory one."
For companies going global,the most direct manifestation of AI is data localization.This is not a future trend,but an ongoing process.
In the EU,the GDPR has long been the global benchmark for data protection.The EU is accelerating the construction of regulatory barriers centered on"data,"and transferring European data outside the EU already poses legal liability risks.In 2026,the implementation of the EU's Data Protection Act will further tighten the boundaries of data control.The EU is shifting towards a federal data infrastructure model,and the trend towards data localization is becoming increasingly clear.
Southeast Asia is also accelerating its efforts.Vietnam's Ministry of Information and Communications issued Decree No.53 in 2026,explicitly stipulating that personal information data,user-created data,and relationship data of Vietnamese service users must be stored within Vietnam.Indonesia has built a data governance framework with strong data localization characteristics.Data localization measures across ASEAN are becoming increasingly common and stringent.Lawyers suggest that companies going global should establish independent overseas data centers in ASEAN to achieve localized storage of user data,production data,and employee information.
In the US,a series of new regulatory systems,such as Executive Order 14117,have been established.Major global economies are accelerating the construction of regulatory barriers centered on"data."
Companies going global face two independent compliance systems:they must meet the data export compliance obligations of Chinese authorities and the local data protection compliance requirements of the destination country.Each system has its own triggering conditions,legal requirements,and consequences for violations;compliance with one system does not automatically exempt the other.
AI workloads are"flowing back"to on-premises–and it's not just a compliance issue.
If data localization is a"hard constraint"of compliance,then the trend of localizing AI workloads is a"natural selection"driven by technological and business logic.
At its 2026 Summit,Dell Technologies explicitly stated that the main trends currently driving enterprises to enhance their on-premises AI capabilities include:increasing demand for data and AI,stricter requirements for agent governance,and a need for more direct control over critical systems.
With the rise of open-source models such as DeepSeek and Alibaba Cloud Qwen,the barrier to on-premises AI deployment has been significantly lowered.Previously,enterprises heavily relied on cloud model calls,but now,in pursuit of data and privacy,they are shifting AI tasks to private environments or edge devices.Enterprises are no longer blindly pursuing ultimate computing power,but rather turning to"place-in-place"cost optimization–offloading cloud GPU load to on-premises devices,significantly reducing bandwidth costs,and building"AI"assets.
AI requires proprietary enterprise data to remain in a strictly controlled environment,rather than being processed on a massive scale by external clouds.When companies train or fine-tune on-premises models on their own private data,sending data back and forth to a centralized public cloud incurs a significant financial burden.Three Key Takeaways for Companies Going Global
First,server localization is a compliance baseline,not an option.
From the EU to Southeast Asia,data localization has moved from"recommendation"to"mandatory."A single unsecured cross-border data transfer can trigger a fine of 4%of global annual revenue.Deploying servers in the country where the business is located is the most direct and effective way to meet data localization requirements.
Second,AI businesses need"nearby computing power,"not just"nearby storage."
AI inference and training are extremely sensitive to latency.If your AI application serves overseas users,but the computing power is deployed domestically,each inference request must traverse thousands of kilometers of international links—resulting in high latency,poor user experience,and high costs.Deploying servers locally in the target market is a physical prerequisite for achieving low-latency AI services.
Third,global node coverage is a core consideration when choosing a cloud service provider.
Companies going global need a cloud service provider that can provide localized deployment capabilities in major global markets—from Southeast Asia to North America,from Europe to the Middle East,with each node equipped with native IP and compliant infrastructure.Simply migrating domestic technology architecture overseas would be highly likely to cross red lines under the regulatory environment of 2026.
The arrival of the AIera signifies a profound shift in the global digital landscape from"borderless cloud"to"distributed zones."For companies expanding overseas,having servers in their business locations is no longer just a matter of technology selection,but a matter of compliance,business competitiveness,and strategic autonomy.
Jtti has deployed high-performance cloud server nodes in key global markets,equipped with native IPs and optimized network lines,helping companies quickly meet local data requirements and achieve localized deployment and low-latency delivery of AI services.Whether your target market is Southeast Asia,North America,or Europe,Jtti can provide compliant,stable,and efficient localized cloud service solutions—allowing your overseas business to truly"take root."
