Malaysia: Driving AI Adoption for SMEs and Industry Growth

by | Mar 1, 2026 | Local News | 0 comments

Malaysia is seeking to accelerate the adoption of artificial intelligence across its economy by encouraging stronger collaboration between government agencies, industry stakeholders and local technology providers.

The initiative places particular emphasis on awarding more AI-related contracts to domestic companies, especially small and medium enterprises, as part of a broader effort to strengthen national technological capability and improve industry uptake of advanced digital tools.

Deputy Minister of Investment, Trade and Industry Sim Tze Tzin highlighted the importance of expanding opportunities for local firms to participate in AI-driven projects. Increasing access to contracts and government-supported programmes is expected to help domestic technology companies build expertise in developing, deploying and scaling AI systems within key sectors of the economy.

The remarks were delivered during a parliamentary session at Dewan Rakyat, where discussions focused on Malaysia’s position within the global artificial intelligence ecosystem and the strategies required to attract high-value digital investments.

Policymakers emphasised that building a competitive AI environment involves not only attracting international interest but also strengthening local innovation capacity and ensuring that domestic firms can contribute to the development of advanced technologies.

Artificial intelligence is increasingly regarded as a core driver of productivity growth and industrial modernisation. Across manufacturing, logistics, services and digital platforms, AI technologies can improve efficiency, enhance decision-making and enable new business models.

However, widespread adoption often depends on whether organisations, particularly smaller enterprises, have access to the technical expertise, funding and infrastructure required to integrate these systems into existing operations.

Government initiatives in Malaysia have already introduced a range of measures designed to support the digital transformation of industry. These include financial incentives, infrastructure investments and programmes aimed at improving access to emerging technologies.

Despite these efforts, officials have indicated that adoption levels among certain sectors remain uneven, with some companies yet to fully utilise the available support mechanisms intended to enhance productivity and technological capability.

Encouraging greater participation by local companies in AI-related projects is seen as a practical approach to addressing this gap. When domestic technology providers are involved in the development and deployment of AI systems, knowledge transfer and capability building can occur more effectively within the national ecosystem. This approach also supports the creation of specialised skills and technical expertise that can be applied across multiple industries.

Another focus of the government’s strategy involves positioning the country as a competitive and inclusive destination for digital investment. Policymakers have noted that a strong AI ecosystem depends on a combination of research capacity, talent development, digital infrastructure and regulatory frameworks that enable innovation while supporting responsible technology deployment. Strengthening these elements can make the country more attractive for projects that involve advanced technology development, collaborative research and high-skilled employment.

The emphasis on SMEs reflects their role as a significant component of the national economy. Smaller enterprises often face greater barriers when adopting advanced technologies due to limited resources or technical capacity.

By increasing access to contracts and government-supported projects, authorities aim to create pathways that allow SMEs to experiment with AI tools, integrate data-driven processes and expand their participation in the digital economy.

In addition to improving productivity, the broader objective is to ensure that artificial intelligence contributes to long-term economic resilience. AI-driven innovation can support the development of new industries, improve the competitiveness of existing sectors and create employment opportunities linked to advanced technology fields. These outcomes are closely linked to the ability of governments to coordinate policy frameworks that encourage adoption while fostering innovation.

As global economies increasingly rely on data analytics, automation and intelligent systems, the pace at which AI technologies are adopted is becoming a critical factor in determining economic growth and technological leadership.

Reference : Malaysia: Driving AI Adoption for SMEs and Industry Growth – OpenGov Asia