Indonesia’s AI-driven growth efforts are gaining momentum as more local organizations look for ways to build their own applications, update systems, and enhance data monitoring. The country now has broader access to cloud and AI tools after Microsoft expanded the services available in the Central Indonesia cloud region, which it first went live with six months ago. This expansion gives enterprises, public organizations, and developers more options to run their AI workloads domestically rather than in offshore data centers.
This latest information was shared at the Cloud & AI Innovation Summit held in Jakarta. There, business and government leaders gathered to discuss how Indonesia can advance its AI ambitions. Speakers include Mike Chan, Head of Azure AI Apps & Agents in Asia, and Dharma Simorangkir, President Director, Microsoft Indonesia. Their message was that local capabilities are only useful if organizations leverage them.
During the event, Dalma said the new service “opens the door to innovation for all organizations, in Indonesia, for Indonesia,” and called on teams from across disciplines to build solutions that address the nation’s needs.
Move from just hiring to building
Many Indonesian companies are going beyond basic AI trials to design tools to solve problems specific to their operations.
Microsoft describes these types of organizations as “frontier companies” — teams that treat AI as a core part of how they do business, rather than as an optional add-on. Companies tend to focus on building applications that make tasks easier for customers, improve internal processes, and modernize outdated workflows.
To support this change, the Indonesia Central region now hosts a variety of Azure services that help teams design and deploy software. These include tools for building data-connected applications, services for storing and managing structured data, and a set of AI-enabled virtual machines that can train and run advanced models. Machines built for high-volume computing tasks allow teams to process complex AI workloads while keeping data in-country.
The region now supports Microsoft 365 Copilot, which brings AI capabilities to common work tools. Developers also have access to GitHub Copilot, which makes code suggestions and speeds up software development. These services form a connected stack that helps teams move from small pilots to production environments where reliability and cost control are more important.
Early Microsoft cloud projects emerging in Indonesia
The regional expansion follows steady demand since launch in May 2025. Companies in mining, travel, and digital services are already using local cloud infrastructure to update legacy systems and address stricter data governance needs.
Petrosea and Vale India are among the companies leveraging the region to support technology upgrades and secure local data storage. Digital-first players are also experimenting with more direct engagement with AI. One example is ticket.com, which built its own AI travel assistant using Azure OpenAI Service. The assistant allows customers to interact with the platform in everyday language, from checking flight updates to adding additional services after booking.
“Our advances in artificial intelligence are designed to give our customers the best experience possible,” said Dr. Irvan Bastian Arief, Vice President of Technology GRAND, Data and AI at ticket.com.
The company sees conversational AI as a way to simplify travel planning while reducing customer support friction.
Consolidate distributed data into one system
A key theme of the summit was the need to organize data before implementing AI at scale. To support this, Microsoft introduced Microsoft Fabric to the Indonesian market. The fabric is a single environment that brings together data engineering, integration, warehousing, analytics, and business intelligence. It includes Copilot capabilities that enable teams to prepare data and build insights without juggling multiple tools.
In many organizations, data is stored on various internal systems and cloud providers. Fabric brings these sources together in one place for teams, helping them improve governance, speed reporting, and control costs. The platform is designed for teams who need structure without building their own data foundation from scratch.
Preparing Indonesia’s workforce for practical AI using Microsoft tools
The day’s focus was not limited to infrastructure. Microsoft also highlighted its AI training program, Microsoft Elevate, which is now in its second year. The program has already reached more than 1.2 million learners and aims to certify 500,000 people in AI skills by 2026. The next phase will focus on practical use, encouraging participants to not only learn theoretical concepts but also apply AI in real-world settings.
The training is aimed at a wide range of groups, including teachers, nonprofit workers, community leaders, and people looking to improve their digital skills. Participants will learn through tools such as Microsoft Copilot, Learning Accelerator, Minecraft Education, and modules designed to illustrate how AI can support practical tasks.
During the summit, Dharma said cloud and AI are “the backbone of national competitiveness” and stressed that infrastructure only matters if people are ready to use it.
Building a long-term ecosystem
These efforts are part of Microsoft’s broader US$1.7 billion commitment to Indonesia from 2024 to 2028. Investments span infrastructure, partner support, and talent development. The company is also preparing to host GitHub Universe Jakarta, a developer-focused gathering aimed at fostering collaboration between software teams, startups, and researchers, on December 3, 2025.
Indonesia aims to establish itself as a center for safe and inclusive AI development in the region. With the expansion of Indonesia’s central cloud region, new data and AI tools, and increased focus on employee training, the country is taking steps to build the foundations needed for long-term digital growth. Businesses now have the option to build AI systems closer to home, developers have more resources, and employees have more avenues to learn practical skills.
The next few years will reveal how these elements come together as organizations move from experimentation to long-term use.
(Photo provided by Simon Ray)
See also: Microsoft, NVIDIA, and Anthropic forge AI Computing Alliance
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