Infographic: The AI Era in Indonesia Driving Innovation, Economic Growth, and National Digital Transformation
The AI Era in Indonesia
Driving Innovation, Economic Growth, and National Digital Transformation
US$366 Billion
The projected contribution of AI to Indonesia's GDP by 2030, equivalent to 12% of the total GDP.
47% Growth
The year-on-year growth rate of AI adoption by businesses in Indonesia in 2024, one of the fastest in the region.
80% Optimism
The majority of Indonesians believe AI products and services are more beneficial than harmful.
National AI Roadmap 2025-2027
The Indonesian government has launched its National Artificial Intelligence Strategy (Stranas KA), focusing on four key pillars to build a robust and sovereign AI ecosystem.
Talent Development
Target: 100,000 AI talents per year & 20 million AI-literate citizens by 2029.
Research & Industrial Innovation
Focus on 4 priority sectors: Healthcare, Bureaucratic Reform, Food Security, and Education.
Governance & Ethics
Prioritizing an AI ethics framework to ensure responsible and fair use.
Infrastructure & Data
Building sovereign cloud infrastructure and a national data center to support the AI ecosystem.
AI Adoption: Startups vs. Corporations
While AI adoption is widespread, a significant gap exists in its utilization. Startups are more agile in innovating with AI, while larger companies still focus primarily on operational efficiency.
AI Investment Boom
Amid a general decline in startup funding, investment in Indonesian AI startups has soared, demonstrating investor confidence in the local AI market's potential.
The Challenges Ahead
To maximize the potential of AI, Indonesia must overcome several fundamental challenges that continue to hinder its progress.
Infrastructure Gaps
Only 62% of the population had internet access (2022), with average speeds below the global standard, especially in rural areas.
Shortage of Skilled Talent
57% of businesses report a lack of AI experts as the main barrier to technology adoption.
Regulation & Data Governance
A comprehensive legal framework for AI and data protection is still under development, creating uncertainty.
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