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AWSs 190 Billion Baht Bet in Thailand: Agentic AI and Cloud as Key Drivers Transforming Thai Business

Digital transformation29 May 2026 18:16 GMT+7

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AWSs 190 Billion Baht Bet in Thailand: Agentic AI and Cloud as Key Drivers Transforming Thai Business

Thailand is fully stepping into a new era of the digital economy, clearly evident at the event AWS Summit Bangkok 2026 which featured Cloud Computing and Agentic AI as key driving forces.

Watson Thiraphatpong, Country Manager of AWS Thailand, said in his keynote that currently, AI workloads account for only about 10% of organizations worldwide, but this is expected to rise to 50% within the next three years. This shows that AI is no longer just an "option" for businesses but is becoming a "necessity" for survival in the modern business world.

To support this major transition, AWS has set its main strategy under the framework called “ACT,” which includes Amplify to upgrade Thai skills, Commitment to invest in development, and Transformation to help organizations fully embrace the AI era.

วัตสัน ถิรภัทรพงศ์ Country Manager ของ AWS ประเทศไทย


A historic investment for digital sovereignty and talent development

AWS reaffirms its confidence in Thailand's potential with a historic investment exceeding 190 billion baht (over 5 billion USD) over 15 years. It currently offers more than 120 fully featured services in Thailand, including Amazon Bedrock, a key foundation enabling organizations to safely deploy Generative AI.

Moreover, AWS emphasizes “data sovereignty” by partnering with the National Cybersecurity Agency (NCSA) to establish national cybersecurity standards, ensuring that Cloud and AI deployments are designed with security from the outset.

Under the Amplify strategy, AWS aims to address a major challenge: the shortage of skilled personnel.

Recognizing that “people” are crucial for development, AWS has upskilled over 120,000 Thais, from higher education to high school programs across various provinces, helping students build AI platforms to prepare for university independently.

Additionally, the event showcased various AWS products designed to help businesses transform in the AI era, including the following:


  • Frontier Agents

A key highlight was the arrival of “Frontier Agents,” autonomous AI systems capable of performing complex, continuous tasks independently.

On stage, Adrian De Luca, Director of Cloud Acceleration APJ at AWS, explained that the new generation of AI will not just be chatbots answering questions but will become “developer assistants” working across the entire Software Development Lifecycle.

One essential tool is AWS Q Developer, now upgraded to KIRO, which acts as an AI assistant for developers, capable of transforming prompts into ready-to-use specifications and code immediately.

AWS also launched AWS Transform, designed to solve a major problem worldwide where many organizations spend up to 70% of IT resources maintaining legacy systems.

AWS Transform uses AI to help modernize old systems such as Node.js, C++, or Python. A notable example is Air Canada, which used AWS Transform to update thousands of Lambda Functions within days, reducing project duration by up to 80%.

In security, AWS introduced Security Agent that can scan code vulnerabilities and perform penetration testing before deployment.

Meanwhile, Dev Agent can automatically detect incidents like database connection issues or deployment errors via CDK, using tools like Dynatrace to analyze root causes and suggest fixes before the on-call team even starts working.

Adrian De Luca, Director, Cloud Acceleration APJ ของ AWS


  • Infrastructure

Behind all AI capabilities is "data," but many organizations face the challenge of data scattered across numerous databases and data lakes, limiting AI’s ability to extract true value.

AWS developed solutions like Amazon S3 Files to allow developers direct access to data across file systems without copying data out of storage, enabling data use where developers are already working.

This kind of infrastructure is driving global innovation. Adrian De Luca cited successful cases from both Thailand and abroad, including

  • the Jane Goodall Institute, which uses Amazon Bedrock and SageMaker to digitize over 65 years of handwritten chimpanzee research notes and analog films. Combined with facial recognition for chimpanzees, researchers can track individual chimps by name, behavior, and decades of history through an AI-powered research platform.

  • Triputra Indonesia utilizes AWS tools like SageMaker and Redshift to build a real-time data analytics system, cutting costs by 72% and boosting employee productivity by 30%.

  • 2C2P a regional payment gateway provider, employs AWS Auto Scaling to create an elastic payment infrastructure that automatically handles massive transaction volumes. They also applied this for the aviation industry by building a Payment Airline Controller supporting over 150 currencies and more than 400 payment methods across more than 25 airlines.

    Importantly, 2C2P became Thailand’s first organization to use AWS AI Agents to create a Merchant Payment Integration Tool that reduced online payment system integration time from 5-7 days to just 30 minutes.

  • Amaze Super App Another notable case from CP Group used AWS services to address the challenge of unifying over 40 million customers spread across brands like 7-Eleven, Lotus’s, Makro, and True into a single loyalty ecosystem.

    Using AWS Managed Services, the team launched the Super App in just nine months, achieving over 10 million downloads. They also employed AI for automatic product verification and translated over one million product descriptions from Chinese to Thai in only two months, a task that traditionally would take years.

    The company plans to expand AI use cases to over 60 types, such as Visual AI that can identify food ingredients from images and instantly add products to shopping carts.


Ultimately, the AWS Summit reflects not just Cloud and AI growth but the “ambition” of Thai organizations. When combined with flexible, secure, and modular cloud architecture, it turns complex challenges into achievable goals.

Many organizations are beginning to “rethink” workflows and entire business models, moving beyond merely “surviving” the digital era to becoming “leaders” in the AI age.


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