Cambodia Investment Review
A recent CNA Insider documentary has placed Cambodia at the center of a growing global debate: will developing countries harness artificial intelligence to accelerate growth, or be left behind as richer economies consolidate their technological lead?
The program frames the stakes clearly. By 2030, AI could add between $3.35 billion and $6.7 billion to Cambodia’s economy — equivalent to a 5% to 10% boost in GDP. Yet the country currently ranks near the bottom in ASEAN for AI readiness, ahead of only Laos, Myanmar and Timor-Leste, according to Oxford Insights.
Through case studies in agriculture, education and manufacturing, the documentary presents Cambodia as a nation with ambition — but also structural constraints that could determine whether AI becomes a growth engine or another widening divide.
Infrastructure and Talent: The Double Constraint
CNA highlights that AI readiness depends on both “hard” and “soft” infrastructure. On the hard side, Cambodia faces limitations in data centers, electricity and connectivity. The country has only a handful of commercial data centers and none capable of training advanced AI systems. Electricity costs are higher than in neighboring Thailand and Vietnam, while internet penetration stands at around 61%, with 5G only recently introduced.
On the soft side, digital literacy remains a key bottleneck. Government data cited in the documentary shows that in 2020 only three in 10 Cambodians had basic digital skills. Just one-third of university graduates pursue STEM-related fields, and many students switch away from science tracks due to weak foundations in mathematics.
The documentary also underscores Cambodia’s historical disadvantage. The destruction of much of the country’s educated class during the Khmer Rouge era created a generational skills gap that still shapes today’s workforce.
To respond, the government has launched a National AI Strategy built around six priorities, including collaboration, talent development, digital government and risk management. Officials say Cambodia aims to train 1,000 AI and data science specialists by 2030, alongside scholarship programs and engagement with Cambodian professionals abroad.
Agriculture, Industry and The Data Gap
CNA uses agriculture to illustrate both AI’s promise and its constraints. One startup profiled in the documentary developed a Khmer-language chatbot that allows farmers to photograph crop leaves and receive instant advice on fertilizer deficiencies or pest risks. The tool was designed to address delays farmers face when seeking advice through social media.
However, field testing revealed deeper structural issues: unreliable rural internet connections and limited familiarity with AI tools. Many farmers prefer face-to-face guidance or voice communication rather than text-based systems.
The documentary also follows Cambodia’s largest rice exporter as it prepares an AI-ready facility aimed at reducing breakdowns and shipment rejections. Yet digitization at the farm level remains weak, with many farmers still keeping records manually. Without structured digital data, training AI systems for traceability and productivity gains becomes difficult.
Language adds another challenge. Khmer’s 74-character alphabet and widespread use of voice messaging mean that digital text datasets are relatively limited. AI systems require large, well-organized local-language data to function effectively, and institutions are now working to build Khmer-language processing tools as part of a broader data sovereignty effort.
Investment, Risk and The Race Against Time
CNA links Cambodia’s AI ambitions to broader competitiveness and investor confidence. The country approved more than $10 billion in investments in 2025, but the documentary notes that governance and cybersecurity concerns could weigh on long-term confidence.
A 2025 Amnesty International report estimated at least 53 scam centers operating in Cambodia, raising concerns over data security. Officials say cybersecurity and data protection laws are expected to be adopted in 2026, though experts caution that enforcement capacity will be critical.
The labor market presents another risk. Earlier International Labour Organization estimates suggest 57% of Cambodian jobs could be at risk of automation, with the garment sector particularly exposed. While low wages may delay rapid mechanization, the documentary warns of a potential “two-speed economy” if reskilling does not keep pace.
Ultimately, CNA portrays Cambodia at a strategic crossroads. AI could strengthen SMEs, modernize agriculture and improve public services. But closing the readiness gap — in skills, infrastructure, data and trust — will determine whether the projected multi-billion-dollar upside materializes, or whether Cambodia remains in permanent catch-up mode in the global AI race.
