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Indonesia Unveils 2026–2029 National AI Roadmap: Targeting a $366 Billion GDP Boost and Launching a Sovereign AI Fund

Monday 22 June 2026 14:13
Indonesia Unveils 2026–2029 National AI Roadmap: Targeting a $366 Billion GDP Boost and Launching a Sovereign AI Fund

 In a landmark move to accelerate digital transformation, the Indonesian government has outlined a comprehensive roadmap to integrate Artificial Intelligence (AI) across key ministries, agencies, and local administrations between 2026 and 2029. According to a draft presidential regulation reviewed by Reuters, the national strategy focuses on deploying AI to drive the priority programs of President Prabowo Subianto, aiming to bolster the country's regional and global technological competitiveness.

The economic implications of this strategic shift are profound. The draft indicates that successful AI implementation could boost Indonesia's Gross Domestic Product (GDP) by 12% by the year 2030, injecting an estimated $366 billion into the national economy.

Key Pillars of Indonesia's AI Strategy:

Global Tech Collaborations: Global tech giants, including Meta, IBM, and Microsoft, actively participated in drafting the regulation. This builds on Microsoft's 2024 commitment to invest $1.7 billion to expand cloud and AI infrastructure in the country.

Sovereign AI Fund: The government plans to establish an "AI Sovereign Fund," managed primarily by the wealth management institution Danantara Indonesia. The framework also explores financial and tax incentives to attract top-tier researchers and AI specialists.

Governance and Risk Management: A parallel regulatory draft mandates government entities to strictly disclose AI-related risks, including biometric data misuse, intellectual property violations, and deepfake content, ensuring a secure digital transition.

Despite these high ambitions, experts caution against structural hurdles. Derwin Suhartono, an AI professor at Bina Nusantara University in Jakarta, noted that Indonesia is currently a consumer of foreign AI solutions rather than a competitor. He highlighted significant challenges, including limited tech infrastructure, a shortage of specialized microchips, and a noticeable talent gap in the local labor market.