Low labour costs are discouraging Cambodian garment manufacturers from investing in automated cutting and sewing equipment, according to the World Bank, highlighting how economic conditions can influence the pace of technology adoption even when advanced machinery is available. The finding, featured in the World Development Report 2026, The Promise of Artificial Intelligence, underscores a central challenge for Cambodia’s manufacturing sector: businesses must weigh potential productivity gains against the cost of technology and the comparatively low cost of employing workers.
Key Facts
Main finding: Low labour costs make automated cutting and sewing equipment less financially attractive to garment manufacturers.
Source: World Bank, World Development Report 2026: The Promise of Artificial Intelligence.
Regional comparison: The report identifies Bangladesh, Cambodia and Vietnam as countries where automated cutting and sewing equipment remains uncommon.
Recommended AI approach: Adopt existing AI technologies and adapt them to local needs rather than concentrating primarily on developing advanced systems from scratch.
Cambodia’s minimum wage for 2027: $212 per month for workers in the garment, footwear, travel goods and bag industries, following an additional $2 approved by Prime Minister Hun Manet.
Additional allowance: A temporary monthly transportation and accommodation allowance of $2.50 remains in place.
Important limitation: The report does not provide detailed data on Cambodia’s overall AI adoption rate or quantify its economic impact on local businesses and public institutions.
Why Low Labour Costs Make Automation Less Attractive
The World Bank’s findings suggest that Cambodia’s relatively low labour costs can reduce the financial incentive for garment manufacturers to invest in automated production equipment.
Automated cutting and sewing technologies have existed for decades, yet their use remains limited in several developing manufacturing economies, including Bangladesh, Cambodia and Vietnam.
According to the report, this is not necessarily because factories lack the technical skills or infrastructure required to operate such equipment. Instead, the investment may not make sufficient economic sense when the cost of machinery is high relative to local wages.
For manufacturers, automation decisions depend on more than whether a machine can perform a task faster or more consistently. Companies must also consider purchase costs, installation, maintenance, training, financing and the expected savings over the equipment’s useful life.
Where labour remains relatively inexpensive, the financial benefits of replacing or supplementing manual production may take longer to outweigh the investment.
This creates a practical challenge for Cambodia’s garment industry. Technology may offer opportunities to improve productivity, but manufacturers must determine whether the expected gains justify the upfront and ongoing costs.
The World Bank’s example demonstrates that technology adoption is not determined solely by availability. Businesses may deliberately postpone automation when existing production methods remain more economical under prevailing market conditions.
What the World Bank’s AI Report Means for Cambodia
The World Development Report 2026 examines how developing economies can benefit from artificial intelligence by adopting existing technologies, adapting them to local conditions and improving productivity.
Rather than recommending that every country build advanced AI systems from the ground up, the report emphasises the importance of making useful technologies work in the environments where they will be deployed.
For Cambodia, this approach could mean using commercially available AI applications and specialised tools that address local business, administrative and operational needs.
Businesses and public institutions may be able to introduce selected applications without bearing the expense and complexity of developing their own advanced AI systems.
However, the appropriate approach will depend on the problem being addressed. AI tools that improve administrative efficiency, support customer service or assist with data analysis will not necessarily solve the capital-investment challenges associated with automated garment production.
The report’s broader message is that technology adoption should be guided by practical benefits, affordability and suitability rather than by the pursuit of advanced technology for its own sake.
Adoption May Be More Practical Than Developing New Systems
Developing advanced AI systems requires substantial investment, technical expertise and access to computing resources and high-quality data.
For many Cambodian businesses, adapting existing technologies could provide a more accessible starting point.
Companies could assess commercially available tools for specific operational needs, test them on a limited scale and expand their use when measurable benefits justify the expense.
For manufacturers, this could include exploring digital tools that support planning, inventory management, quality monitoring or production scheduling. These are potential applications rather than findings that the World Bank report specifically confirms are already widespread in Cambodia.
The underlying principle is to identify a clear business problem and evaluate whether a technology can solve it at an acceptable cost.
Skills, Infrastructure and Data Remain Important
Although the report highlights economic incentives as a key factor in the adoption of garment automation, effective AI adoption also depends on broader enabling conditions.
Reliable electricity, internet connectivity, digital skills and access to quality data can all influence whether organisations can use AI effectively.
Businesses may struggle to implement digital systems if workers lack the necessary training or if their existing processes and data are not sufficiently organised.
Public institutions face similar considerations when introducing AI into areas such as healthcare, education, taxation, public finance, civil service administration and procurement.
For Cambodia, the challenge is therefore not simply to make technology available. Organisations must also assess their readiness to adopt it, develop relevant skills and ensure that the systems they introduce are suitable for their operating environments.
The report does not provide a detailed assessment of Cambodia’s overall AI adoption rate, however, so the extent of these challenges across individual industries cannot be established from the information cited.
Cambodia Included in the World Bank’s AI and Data Governance Survey
Cambodia was among 12 lower-middle-income economies that responded to the World Bank’s AI and Data for Better Governance Survey.
The survey examined AI use, adoption barriers and governance across digital agencies and public-sector functions, including healthcare, education, taxation, public finance, civil service and procurement.
The Cambodia Academy of Digital Technology and Cambodia’s Digital Government Committee were also acknowledged among the organisations consulted or providing input to the report.
This involvement places Cambodia within the broader international discussion about how developing economies can introduce AI and improve digital governance.
However, participation in the survey does not, by itself, establish the extent of AI deployment across Cambodian government agencies or private businesses. The available report details cited in the source do not provide a national adoption percentage or quantify AI’s economic contribution to Cambodia.
More detailed data would be needed to determine which sectors are adopting AI, what barriers they face and whether the technologies are generating measurable productivity gains.
Cambodia’s 2027 Minimum Wage Rises to $212
The discussion of automation comes as Cambodia prepares to implement its 2027 minimum wage for workers in the garment, footwear, travel goods and bag industries.
On September 30, the National Council for Minimum Wage voted to maintain the monthly minimum wage at $210 for 2027. Prime Minister Hun Manet subsequently approved an additional $2 per month, bringing the minimum wage to $212.
The temporary monthly allowance of $2.50 for transportation and accommodation remains in place.
The wage figure provides relevant context for manufacturers evaluating production costs, but it does not establish that the increase will trigger greater automation.
Automation decisions involve multiple variables, including equipment prices, financing costs, production volumes, labour requirements, product specifications and the expected return on investment. The World Bank’s findings specifically highlight the relative cost of technology compared with local labour.
For factories, the relevant question is whether investing in equipment can deliver sufficient productivity improvements and other operational benefits to justify the total cost.
A change in wages may affect that calculation, but the effect will vary between factories and production processes.
What Automation Could Mean for Cambodia’s Garment Competitiveness?
Cambodia’s garment sector operates in a global market where manufacturers must manage production costs while meeting buyers’ expectations for quality, delivery schedules and compliance.
Automation could potentially help some factories improve productivity, reduce certain repetitive tasks and strengthen production consistency. However, the economic case will differ depending on the type of garment, factory scale, production volumes and the complexity of the work.
The World Bank’s example of automated cutting and sewing highlights the need to evaluate these investments in the context of Cambodia’s actual operating conditions.
Assessing the return on investment
Manufacturers considering automation need to compare the total cost of equipment with the expected benefits over time. Relevant factors include equipment purchase and maintenance, training, production capacity, labour requirements and potential reductions in material waste or production errors.
The availability of a technology is not enough to justify adoption. A sound investment decision requires evidence that its benefits are likely to exceed its costs.
Matching technology to factory needs
Factories may not need to automate every stage of production simultaneously. Depending on their operations, businesses could assess individual processes and prioritise investments that offer the clearest potential returns.
This approach could help companies avoid committing substantial capital to equipment that does not fit their production requirements.
Building workforce capabilities
Technology adoption also requires workers and managers who can operate, maintain and integrate new systems into existing production processes.
Training and workforce development can help factories make effective use of equipment and digital tools. The appropriate balance between manual work and automation will depend on the production task and the company’s business model.
These are potential strategic responses to the challenges identified in the report, rather than specific policy recommendations or measured outcomes reported for Cambodia.
Angkor Times Analysis: The Business Case, Not Technology Alone, Will Shape Automation
The World Bank’s findings highlight an important consideration for Cambodia’s industrial development: the pace of automation depends partly on whether the economics make sense for individual businesses.
For garment manufacturers, relatively low labour costs can make manual production financially attractive even when automated equipment is technically capable of performing the same tasks. This helps explain why the existence of advanced machinery does not automatically translate into widespread adoption.
The implications extend beyond the garment industry. Cambodian businesses evaluating AI and other digital technologies need to distinguish between technological potential and commercial viability.
A practical strategy is to begin with specific operational problems, assess available solutions and measure whether adoption improves productivity, quality or cost efficiency. The same principle applies to public institutions considering AI for service delivery and administration.
At the same time, low labour costs should not be treated as the only factor determining Cambodia’s long-term competitiveness. Manufacturing businesses also need to consider changing buyer requirements, product quality, delivery reliability, workforce capabilities and the potential benefits of more efficient production methods.
The report’s recommendation to adopt and adapt existing AI technologies offers a pragmatic starting point for developing economies. For Cambodia, the opportunity lies in selecting technologies that fit local conditions while investing in the skills, infrastructure and data systems needed to use them effectively.
The key question for manufacturers is not simply whether automation is possible, but whether a particular investment can deliver a sufficiently strong return under their operating conditions. That calculation will differ across factories, and the World Bank’s findings do not establish that all Cambodian manufacturers face the same incentives or barriers.
Frequently Asked Questions
Why is automation slow in Cambodia’s garment industry?
According to the World Bank, relatively low labour costs make automated cutting and sewing equipment less financially attractive compared with manual production. The report notes that technology can remain uncommon even when a lack of skills or infrastructure is not the main barrier.
Which report identified this issue?
The finding appeared in the World Bank’s World Development Report 2026: The Promise of Artificial Intelligence.
Does the report say Cambodia lacks the skills or infrastructure for automation?
Not as the main explanation for the limited use of automated cutting and sewing equipment. The report highlights the cost of technology relative to local wages, while also recognising that skills, infrastructure and quality data matter for broader AI adoption.
What AI strategy does the World Bank recommend for developing economies?
The report recommends adopting existing AI technologies and adapting them to local needs, rather than focusing primarily on developing advanced AI systems from scratch.
What is Cambodia’s garment-sector minimum wage for 2027?
The monthly minimum wage is $212, following an additional $2 approved by Prime Minister Hun Manet after the National Council for Minimum Wage voted to maintain the rate at $210. A temporary monthly transportation and accommodation allowance of $2.50 remains in place.
Does the report quantify AI adoption in Cambodia?
The information cited in the source does not provide a detailed national AI adoption rate or quantify AI’s economic impact on Cambodian businesses and public institutions.