The numbers are staggering. In 2026 alone, the world’s largest technology companies — Microsoft, Amazon, Alphabet, and Meta — are projected to spend approximately US$635 billion on artificial intelligence infrastructure.
The numbers more than double the US$383 billion spent in 2025, and nearly eight times the US$80 billion recorded in 2019.
The global data centre industry, the physical backbone of AI, is expected to nearly triple its capacity in Southeast Asia by 2030, backed by a total global investment pipeline of US$3 trillion over five years.
This is not merely a technology story. It is an economic, social, and political one, and Indonesia sits directly at its centre.
Indonesia in the eye of AI storm
Indonesia has rapidly emerged as one of the most sought-after destinations for AI and digital infrastructure investment in the Indo-Pacific.
The country’s combination of 280 million people, the fourth-largest population in the world, surging internet penetration now at 89.3 percent, and an expanding middle class has made it a compelling market for global technology players racing to establish footholds across the Global South.
In April 2024, Microsoft Chairman and CEO Satya Nadella announced a US$1.7 billion investment, the largest in the company’s 29-year history in Indonesia, committing to new cloud and AI infrastructure and skilling programs across the country.
Microsoft News Analyst firm IDC projects that Microsoft and its ecosystem could contribute US$15.2 billion to Indonesia’s economy between 2025 and 2028, with the initiative expected to support the creation of over 106,000 jobs.
Microsoft is not alone. Chinese tech giant Tencent has pledged US$500 million for infrastructure investment by 2030, while Alibaba Cloud has committed to training 800,000 individuals in cloud computing and AI by 2033.
NVIDIA also announced plans to build a US$200 million AI centre in Indonesia, underscoring the country’s growing strategic importance in the global AI supply chain.
On the infrastructure side, the numbers are equally dramatic. Indonesia’s hyperscale data centre market reached US$3.49 billion in 2025 and is projected to climb to US$7.96 billion by 2031, advancing at a compound annual growth rate of 14.71 percent.
As of 2025, the country had 81 operational data centre facilities with 24 more under development or planning, spanning over 18 cities including Jakarta, Surabaya, and Batam.
Investments of this scale signal not just commercial confidence, but a structural realignment of Southeast Asia’s digital geography, with Jakarta increasingly positioned as its gravitational centre.
The government has matched this momentum with policy. Indonesia’s Golden Vision 2045 explicitly incorporates AI as a pillar of national competitiveness, and starting in the 2025–2026 academic year, elementary students in fourth grade will begin studying AI and coding as elective subjects — a bold generational bet on building a workforce prepared for an algorithm-driven economy.
Yet beneath the optimism, structural questions are emerging that no investment announcement alone can resolve. The most consequential of these is not about capital: it is about capacity.
High connectivity, low critical literacy: A structural caution
Indonesia’s digital engagement statistics paint a picture of remarkable vitality.
Smartphone penetration continues to rise sharply, daily mobile usage exceeds five hours on average, and the country is home to one of the fastest-growing developer communities in the Asia-Pacific region, with over 3.1 million developers on GitHub — the third largest in the region after India and China — and a 213 percent year-on-year growth in public generative AI projects on the platform in 2023.
But raw connectivity does not equal informed participation. And this is where Indonesia faces its most pressing challenge.
The Ministry of Communication and Informatics has tracked Indonesia’s Digital Literacy Index annually since 2020, measuring performance across four pillars: digital skills, digital ethics, digital safety, and digital culture.
The index showed gradual improvement from a score of 3.46 in 2020 to 3.49 in 2021 and 3.54 in 2022, but the growth has been slow, and the score remains firmly in the “moderate” band of the five-point scale, well short of the “good” threshold of 4.00 that the ministry has set as its target.
The most recent comprehensive data, from the 2023 Digital Literacy Status Survey conducted across 10,000 respondents in 514 districts and cities, confirmed that while most provinces experienced improvement, critical gaps persist.
Jakarta recorded the highest index and the largest single-year gain in 2023, highlighting a widening divergence between the capital’s digital ecosystem and the rest of the archipelago. Urban areas showed 52.5 percent of respondents with a high digital literacy index, compared to 49.8 percent in rural areas.
This is a gap that may appear modest but masks deeper qualitative differences in how people actually engage with and evaluate digital information.
Indonesia’s internet penetration of 89.3 percent goes hand in hand with a consumption of sociopolitical content of only 33.4 percent, suggesting that most digital activity remains concentrated in entertainment, social communication, and commerce not the critical, evaluative engagement that AI fluency ultimately requires.
Research using a composite index of mobile phone use and proficiency found that older generations have significantly lower digital literacy, with scores averaging 9.08 for those aged 15–24 but falling to just 2.49 for those aged 55 and above, and that men score notably higher than women across all age groups.
This matters enormously in the AI context. When users cannot reliably distinguish between accurate and fabricated information in conventional digital spaces, the arrival of sophisticated AI-generated content capable of producing fluent, persuasive, and wholly incorrect outputs at scale may represent a qualitative escalation of risk.
Between 2018 and early 2024, the ministry took down over 4.5 million pieces of negative content and issued clarifications on 928 election-related hoaxes. This is a figure that underscores how chronically the information environment is already under pressure, even before AI-generated content becomes widespread.
There is also a gendered and geographic dimension that economic projections often fail to capture. The same communities least likely to benefit from AI’s productivity gains — older populations, women in underserved areas, and rural communities with limited broadband access — are the most vulnerable to its risks.
Indonesia faces a broadband penetration rate of just 15 percent outside major urban corridors and will need 90 million skilled technology professionals by 2035, a gap so large it cannot be filled by corporate skilling programs alone, however well-intentioned.
The challenge, in short, is not whether Indonesia is connected. It demonstrably is. The challenge is whether that connection is underpinned by the critical reasoning, data awareness, and ethical understanding that AI demands of its users. Currently, the evidence suggests it is not and the pace of investment is outrunning the pace of literacy development.
Toward an AI-ready society: Infrastructure is not enough
The tension at the heart of Indonesia’s AI moment is this: the country is being integrated into global AI systems faster than its institutions, educators, and citizens are being prepared to engage with those systems critically and equitably.
This is not a reason for pessimism. It is a call for a more precise, more honest, and more urgent policy conversation.
On infrastructure, Indonesia’s trajectory is encouraging. Data centre capacity in Southeast Asia is projected to triple from 2025 levels by 2030, driven by a tenfold surge in AI use, according to a KPMG report.
Microsoft launched its Indonesia Central cloud region in May 2025, providing the country’s first in-country AI-ready hyperscale cloud infrastructure with three availability zones. These are meaningful, lasting additions to the national digital foundation.
But infrastructure creates capability only when paired with readiness. And on readiness, the picture is more complicated. The ministry’s National Movement of Digital Literacy reached over 24.6 million participants between 2017 and the end of 2023 which is a significant reach, delivered in partnership with 142 institutions spanning academia, technology companies, and civil society organisations.
Yet when measured against a population of 280 million, and in the context of an AI landscape that is evolving faster than any static training curriculum can accommodate, this represents a starting point, not a finish line.
Three priorities deserve urgent attention. First, digital literacy policy must evolve from teaching people how to use technology toward teaching people how to think about technology including how to interrogate AI outputs, understand algorithmic bias, and recognize the difference between tool and authority.
The four-pillar framework of the ministry’s existing index provides a solid foundation — but what is needed is greater emphasis on its critical and ethical dimensions, particularly digital safety and digital ethics, which have historically lagged behind digital skills and digital culture in national scores.
Second, equity must be an explicit design principle of Indonesia’s AI strategy, not an afterthought. The gender gap in digital literacy, the urban-rural divide, and the generational cliff in digital proficiency are not incidental features of Indonesia’s digital landscape — they are structural ones.
Investment decisions by global technology companies will naturally gravitate toward Java’s dense urban markets. Government and civil society must deliberately compensate for this gravity, ensuring that AI’s productivity dividends flow beyond the metropolis.
Third, Indonesia must leverage its position not merely as a consumer of global AI infrastructure, but as a sovereign participant in shaping it.
Government officials have noted that data generated by Indonesian users has become a critical resource for training global AI systems — yet its economic and political value remains neither fully accounted for nor negotiated.
As AI regulation matures globally, Indonesia has both the standing and the incentive to advocate for frameworks that recognize this contribution and distribute its benefits more equitably.
Power consumption by data centres in Indonesia where coal still generates nearly 70 percent of electricity is projected to quadruple by 2030, raising urgent questions about environmental sustainability that sit alongside, and are inseparable from, the social ones.
The AI boom is real. The investments being made in Indonesia are real. The opportunities for economic growth, for job creation, for scientific and creative capacity are real.
But so are the risks of a society that is highly connected and underequipped: vulnerable to misinformation, dependent on systems it does not understand, and excluded from the governance of technologies that will increasingly shape its future.
Indonesia’s defining question in the AI era is not whether to participate. That decision has effectively already been made. The question is on whose terms, and for whose benefit. Answering it well will require not just more servers, but more critical thinkers, not just faster networks, but more informed citizens.
In the end, the most important infrastructure Indonesia can build is not digital. It is human.
Originally written by: Ressa Uli Patrissia
Source: ANTARA News
Published on: 5 April 2026
Link to original article: AI boom or bubble? Indonesia must choose readiness over hype
