Artificial intelligence adoption projected to drive Southeast Asia's digital economy to $368 billion

The intelligent economy takes root

Southeast Asia’s digital economy is expected to reach $368 billion in total sales of goods and services through online platforms in 2026. This would be a 17 per cent increase from the previous year. These figures are at the heart of the e-Conomy SEA 2026 report, published by Google, Temasek, and Bain & Company. The report describes a major change in how advanced the region’s technology has become.

The region’s digital growth no longer depends mainly on more people getting internet access and smartphones. Instead, it is increasingly driven by the use of artificial intelligence across important industries. The report, called “Building the intelligent economy,” explains how AI tools are changing the way people shop, helping businesses move goods more efficiently, and creating new ways to earn money across the ten member countries of the Association of Southeast Asian Nations (ASEAN).

AI is changing online shopping and customer service

Online shopping remains the biggest part of Southeast Asia’s digital economy, but the way it grows is changing. The report says AI tools that personalise shopping are helping customers spend more per order and encouraging them to return. Online stores and shopping platforms are using advanced generative AI systems as personal shopping assistants. These tools suggest products suited to local needs and provide customer support in different local dialects.

These new tools have also made it easier for small and medium-sized businesses (SMEs) to compete. In the past, many of these businesses could not afford professional marketing or advanced systems for managing stock. Now, they can use affordable AI tools to create product images, change prices as local demand changes, and predict when they need to order more goods. This helps them compete with large regional platforms.

Growth in delivery services and parcel handling

Online shopping is also supported by a delivery network that is quickly improving with the help of machine learning. The report says the ASEAN parcel market has grown very quickly because of trade between countries and the rise of services that deliver goods in a short time. Companies such as J&T Express and established postal services across the region are using AI to plan delivery routes, predict where warehouses may become crowded, and manage vehicle maintenance. These tools can greatly reduce delivery times and running costs.

• Smarter delivery routes: AI systems study live traffic information, weather conditions, and past delivery results. They can change drivers’ routes as conditions change, helping save fuel and deliver parcels on time.
• Automatic sorting: Large distribution centres use computer vision and robots to sort parcels. These systems can handle millions of parcels each day with almost no sorting mistakes.
• Predicting demand: Delivery companies share forecasts with sellers so they can place goods in small fulfilment centres closer to large groups of city customers before orders arrive.

Financial technology and digital financial services

Financial technology is also growing, with AI helping companies judge financial risks. Many people in Southeast Asia still do not have bank accounts or have limited access to banking services. Digital lenders use other kinds of information, such as mobile phone use, utility bill payments, and online shopping records, to work out how likely people are to repay loans. This has helped small loans and buy-now-pay-later services grow quickly, encouraging more spending across the digital economy.

AI tools that detect fraud have also become important for keeping people’s trust in digital payment services. As the number of payments increases, machine learning systems can spot and block suspicious activity in milliseconds. This helps keep the region’s growing cashless economies working safely and reliably.

Challenges facing the intelligent economy

Despite the positive forecasts, the e-Conomy SEA 2026 report points to several major problems that could slow long-term growth. One key concern is the growing gap between cities and rural areas in access to digital services. There are also large differences in digital infrastructure between more developed economies such as Singapore and developing markets such as Laos and Myanmar.

The region also does not have enough workers with advanced AI skills. Although more people now have basic digital skills, there is still a serious shortage of data scientists, machine learning engineers, and cybersecurity experts. These workers are needed to develop and maintain new AI applications in the region. The report calls on governments and private companies to work together to provide more advanced training and make it easier for skilled workers to move between countries in the region. It warns that if this skills gap is not addressed, Southeast Asia may end up mainly using AI technology developed elsewhere instead of creating and exporting its own AI solutions.

Another major obstacle is that ASEAN countries have different rules and regulations. Singapore and Malaysia have introduced clear guidelines for AI management and data privacy, but some other countries do not yet have complete laws covering these areas. This makes it harder for companies operating across the region to follow the rules. Bringing digital trade rules into closer agreement is important if Southeast Asia wants to encourage AI innovation across borders and attract continued foreign investment into its technology centres.