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Why the world's AI companies don't want to establish in Indonesia today?

  • Writer: Futurescale Digital
    Futurescale Digital
  • Feb 25
  • 2 min read

There are a few key reasons why global AI companies might be hesitant to establish themselves in Indonesia, despite its large market potential:


1. Talent & Ecosystem Limitations

  • AI talent gap: While Indonesia has a growing tech industry, there is still a shortage of highly specialized AI engineers, data scientists, and researchers compared to places like Singapore, China, or the U.S.

  • Lack of AI research hubs: Unlike countries with strong university-industry collaboration, Indonesia has fewer globally recognized AI research institutions.


2. Regulatory & Infrastructure Challenges

  • Data protection & compliance: Indonesia has strict data localization laws that require companies to store and process data within the country, which can be costly and complex.

  • Unclear or evolving regulations: AI governance is still in a developing phase, which may create uncertainty for businesses investing in AI-driven services.

  • Internet & cloud infrastructure: While improving, Indonesia still faces challenges with internet speed, latency, and cloud computing infrastructure compared to more developed tech hubs.


3. Market Readiness & Adoption

  • Enterprise AI adoption is still developing: Many Indonesian businesses are still in the early stages of digital transformation, meaning demand for sophisticated AI solutions may not be as strong yet.

  • Preference for cost-effective solutions: Local businesses often prioritize affordability over cutting-edge AI innovation, making it harder for global AI companies to sell high-end AI products.


4. Competitive & Strategic Considerations

  • Preference for Singapore as a regional HQ: Many AI firms prefer setting up in Singapore due to its business-friendly policies, strong AI talent pool, and easy access to Southeast Asia.

  • Challenges in localization: Language, cultural nuances, and local business practices require significant adaptation for AI models to be effective in Indonesia.


Opportunities Despite the Challenges

While Indonesia has these barriers, the growing digital economy, large population, and increasing government focus on AI (e.g., AI roadmaps, smart city initiatives) suggest that the country has strong long-term potential. AI companies that can navigate these challenges—especially in sectors like fintech, e-commerce, and customer service automation—can tap into a massive opportunity.

 
 
 

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