AI Preparedness Index in Cambodia

Published 2026-10-09 · 24Peaks Research

AI Preparedness Index in Cambodia

As of the latest available year, Cambodia scores in the lower tier of the IMF's AI Preparedness Index, reflecting early-stage digital infrastructure, limited ICT capital, and a small pool of specialized AI skills relative to advanced and upper-middle-income peers. The index is a composite 0–1 score built by the IMF to gauge how ready an economy is to absorb and benefit from artificial intelligence, and Cambodia's position places it among the economies with the most ground to cover. Because the score is updated periodically, 24Peaks hosts the latest series if you need the current vintage.

What the AI Preparedness Index measures

The IMF introduced its AI Preparedness Index in 2023 to compare economies on the foundations needed to adopt AI productively. It aggregates indicators into four broad pillars:

• Digital infrastructure: internet penetration, mobile broadband coverage, and the reliability of networks that AI applications depend on.
• Human capital and labor market policies: education outcomes, skills training, and the flexibility of labor markets to reallocate workers as automation spreads.
• Innovation and economic integration: research output, patent activity, trade openness, and the presence of a business environment that supports technology adoption.
• Regulation and ethics: the existence of legal frameworks for data protection, privacy, and the governance of AI-related risks.

Each pillar is normalized to a 0–1 scale and weighted into a single headline score. A higher value means an economy is better positioned to capture AI's productivity gains while managing displacement risk. The index is not a measure of AI adoption itself, and it does not rank countries by how much AI they already use. It is a forward-looking readiness gauge, closer in spirit to the World Bank's logistics or human capital indices than to a technology output metric.

Why it matters for Cambodia

Cambodia's economy has grown quickly on the back of garment manufacturing, tourism, construction, and agriculture. Those sectors are exposed to automation, and the same low-cost labor advantage that attracted investment could erode if AI-enabled production moves closer to consumer markets. A low preparedness score signals that the transition may be slower and more uneven, with adjustment costs falling on workers who lack the skills to move into digital or service roles.

For investors, the index is a useful screen. It helps distinguish between economies that can host AI-intensive operations today and those where the near-term opportunity is more about digital infrastructure, education, and regulatory groundwork. Cambodia fits the second category. That does not mean there is no opportunity; it means the investment case often rests on building the enabling layer rather than deploying mature AI products.

The index also matters for policy. Governments use it to benchmark against regional peers and to target spending. In Cambodia's case, the binding constraints tend to sit in digital infrastructure and skills rather than in regulation, which is a useful distinction when reading the score. A country can have adequate rules on paper but still score low if connectivity and human capital lag.

Recent trends by region

Across the latest available data, the global pattern is consistent. Advanced economies cluster at the top, led by the United States, Singapore, and several Northern European countries. Emerging markets sit in the middle, with wide dispersion. Low-income and many lower-middle-income economies, including Cambodia, cluster at the bottom.

Asia shows the sharpest internal split of any region. Singapore, South Korea, and Japan rank among global leaders. China and Malaysia occupy the upper-middle band. Cambodia, Laos, and Myanmar are in the lower band, shaped by lower internet penetration, thinner skills pipelines, and less developed innovation ecosystems. The gap within ASEAN is a recurring theme in policy discussions because it affects how evenly the region's digital economy develops.

That said, several lower-scoring economies have improved their infrastructure pillars faster than their skills pillars, reflecting the relative ease of expanding mobile coverage versus raising education quality. The index's pillar structure makes these asymmetries visible, which is why analysts often look at the components rather than only the headline score. For Cambodia, the infrastructure pillar has historically been the more dynamic of the two.

Comparison examples

The table below places Cambodia alongside regional and structural comparators. Values are indicative of the latest available year and are rounded; confirm the current figure on 24Peaks before citing it.

Malaysia is the most instructive comparator for Cambodia. Both are middle-income ASEAN economies with open trade regimes, but Malaysia's advantage comes from decades of investment in electronics manufacturing, technical education, and broadband. The gap between them is less about regulation than about the depth of the skills base and the density of technology firms.

Singapore shows what the top of the scale looks like: near-universal connectivity, strong research institutions, and a mature governance framework. Lao PDR shows how much of Cambodia's position is regional rather than unique, which matters when framing the policy challenge. The lesson is that the index rewards cumulative investment, not single initiatives.

Limitations to keep in mind

The AI Preparedness Index is a composite, and composites trade nuance for comparability. Three caveats are worth holding onto.

• It measures readiness, not outcomes. A country can score moderately and still host specific AI-intensive activities, and a high score does not guarantee adoption.
• Data quality varies. Lower-income economies often have less frequent and less granular statistics, so scores carry wider uncertainty bands than the precision of a decimal suggests.
• It is a snapshot of structural conditions. Rapid changes in connectivity or education policy take years to show up, and the index can lag real-world shifts.
• The weights are fixed. Different pillar weights would produce different rankings, and there is no single objectively correct weighting.

For Cambodia, the practical reading is that the score is a diagnostic, not a verdict. It identifies where the binding constraints are, and those constraints are addressable.

FAQ

What is the AI Preparedness Index?

It is a composite 0–1 score published by the IMF to measure how well an economy is positioned to adopt and benefit from artificial intelligence. It combines indicators on digital infrastructure, human capital, innovation, and regulation. The index was introduced in 2023 and is updated periodically.

Where does Cambodia rank?

Cambodia sits in the lower tier of the index as of the latest available year, alongside Laos and Myanmar in ASEAN. Its score is constrained mainly by digital infrastructure and skills rather than regulation. Check 24Peaks for the most recent value.

Why is Cambodia's score relatively low?

The main factors are lower internet and broadband penetration, a smaller pool of workers with advanced digital skills, and a thin innovation ecosystem measured by research and patent activity. These are structural conditions that accumulate over decades. They are not a reflection of policy intent alone.

How does Cambodia compare with Malaysia?

Malaysia scores well above Cambodia, largely because of deeper investment in technical education, electronics manufacturing, and broadband. The gap is most visible in the human capital pillar. Both countries are open to trade, so the difference is not about economic integration.

Can Cambodia improve its score quickly?

Infrastructure improvements can move the needle faster than education reforms, so near-term gains are most likely in the digital pillar. Skills and innovation pillars respond slowly and depend on sustained spending. Investors should expect the overall score to move gradually rather than sharply.

Compare the AI Preparedness Index across countries on the 24Peaks workbench.