Huawei Pledges to Train 30,000 AI Professionals in Malaysia – Boosting Country’s Digital Economy Amid National Cloud Computing Policy

In a significant advancement, Malaysia’s pursuit of a homegrown AI workforce has gained momentum with Huawei’s pledge to train 30,000 local professionals. This development coincides with the implementation of the country’s National Cloud Computing Policy (NCCP), establishing the regulatory groundwork for a self-reliant yet globally competitive digital economy.

At the Huawei Cloud AI Ecosystem Summit APAC 2025, Digital Minister Gobind Singh Deo underscored the need for a comprehensive and inclusive approach to AI talent development, ensuring that every sector of society reaps the benefits of technological progress.

During his keynote address at the summit, held during the ASEAN AI Malaysia Summit, the minister emphasized that AI-driven productivity should benefit all Malaysians, with no one left behind. He stressed the importance of inclusivity and collaboration in achieving this goal.

Huawei’s commitment to Malaysia’s AI talent development comes at a time when the company has established itself as a leading cloud infrastructure provider. In August 2025, Gartner placed Huawei in the Leaders quadrant of its Magic Quadrant for Container Management, acknowledging the company’s deep expertise and strategic investments in Cloud Native 2.0.

This recognition underscores Huawei’s infrastructure capabilities that will support Malaysia’s AI aspirations. The company’s container products offer an optimal cloud-native infrastructure for managing large-scale, scalable containerized workloads across various environments.

Huawei Technologies (Malaysia) CEO Simon Sun detailed the scope of the Malaysia AI talent development initiative, targeting a diverse range of professionals, including students, government officials, industry leaders, think tanks, and associations.

Sun announced during the summit that approximately 300 regional delegates attended, Huawei intends to nurture 30,000 Malaysian AI talents over the next three years.

Huawei Cloud’s technical capabilities position it well to support Malaysia’s AI workforce development. The company operates a global network of 34 regions and 101 availability zones, providing the low-latency infrastructure essential for AI applications.

The platform supports more than 160 open-source models through its AI Cloud Service, offering flexibility for development in various industries. Huawei’s Pangu multimodal models form the backbone of the company’s “AI for Industries” strategy, delivering tailored solutions for manufacturing, healthcare, transport, and other sectors.

Li Yin, CTO of Huawei Cloud Enterprise Intelligence, demonstrated how these capabilities translate into real-world applications during her session “Leap to Cloud, Heading to AI.” She shared examples of Huawei Cloud’s work with customers in more than 30 industries, applying AI to over 500 scenarios worldwide.

The talent development program builds on Huawei’s existing ICT Academy and AI Talent Development Plan, which has been commended for producing a highly skilled, future-ready workforce equipped with industry-relevant expertise.

Beyond training, Huawei is also committed to nurturing 200 local AI partners through knowledge transfers and cloud solution collaborations with top AI companies. The initiative includes encouraging AI investments in Malaysia and supporting the inception of new Malaysian AI entities through partnerships with local players.

Huawei’s advancements in Cloud Native 2.0 technology, which has been fully upgraded to incorporate intelligence, directly support Malaysia’s AI ambitions. The company is building next-generation AI-native cloud infrastructure powered by advanced AI technologies.

Key innovations include CCE AI clusters that form the cloud-native infrastructure for CloudMatrix384 supernodes, offering large-scale supernode topology-aware scheduling, AI workload characteristic-aware auto-scaling, and ultra-fast container startups that significantly accelerate AI training and inference.

Huawei has also introduced CCE Doer, which integrates AI agents throughout the container use process, providing intelligent Q&A, recommendations, and diagnostics. The system can diagnose over 200 critical exception scenarios with a root cause accuracy rate exceeding 80%, enabling automated and intelligent container cluster management.

The talent development announcement came as Malaysia unveiled its NCCP, establishing a comprehensive framework for cloud adoption that directly supports AI capabilities development. The policy aims to position Malaysia as a world-class cloud computing hub by 2030, focusing on innovation, cybersecurity, sustainability, and inclusivity.

The minister emphasized that building an “AI nation” under the 13th Malaysia Plan necessitates strengthening infrastructure, enhancing security, and developing local talent, with collaboration playing a pivotal role in achieving these objectives.

The minister also highlighted the critical importance of governance and regulatory frameworks to ensure AI adoption remains safe and sustainable, particularly as Malaysia becomes more dependent on data-driven infrastructure.

The government’s approach includes preparing policies and legislation that can adapt to new technologies while ensuring safety and security are not compromised. The National AI Office, established in December 2024, has already worked with six sectors and identified 55 AI potential use cases.

The Malaysia AI talent development initiative carries significant implications for the broader ASEAN region, where skilled AI professionals remain in short supply. Huawei’s investment in local capabilities, backed by its Gartner-recognised infrastructure leadership, could position Malaysia as a regional hub for AI expertise, potentially attracting additional technology investments and partnerships.

“The future is now. We need to start thinking today about how to build an ecosystem that will ensure that, in five years, when new technology is rolled out, Malaysia is ready for it,” the minister concluded, emphasizing the urgency of preparing for rapid technological change.