KUALA LUMPUR, 10 September 2025 — Malaysia is on track to attract more than US$40 billion (RM169.2 billion) in artificial intelligence (AI) and data centre investment by 2030, according to new research by global talent solutions partner Robert Walters. The anticipated influx of capital, driven by major hyperscalers and global technology giants, is expected to transform Malaysia into Southeast Asia’s leading AI and data centre hub, solidifying its position as a regional leader in high-value offshoring.
Investment Momentum and Hiring Outlook
The Robert Walters Market Intelligence team projects that this wave of AI and digital infrastructure investment will spark a hiring boom across critical technology functions between 2025 and 2027. Key roles expected to see surging demand include cloud and data centre operations, cloud engineering, data science and analytics, and cybersecurity—all of which are vital to the operations of AI-enabled enterprises.
“Our latest research underscores Malaysia’s rapidly evolving role as a strategic offshoring location,” said Phill Brown, Head of Market Intelligence at Robert Walters. “The combination of high-value technology hiring, steady demand for support functions, and a projected US$40 billion in AI and data centre investment sets the stage for Malaysia to attract significant regional and global business operations.”
Anchored by National AI Action Plan 2026–2030
Malaysia’s trajectory is reinforced by government policy initiatives, notably the National AI Action Plan 2026–2030, which aims to accelerate AI adoption and create high-skilled employment opportunities. Recent data shows that in the first half of 2025 alone, RM13.29 billion in AI-related investments were approved, with the potential to generate approximately 6,920 new jobs.
Much of this growth is centred on the Negeri Sembilan High Tech Industrial Park, fast emerging as a focal point for AI development due to its robust connectivity, scalable land availability, and government incentives. The region is being positioned as a strategic hub for both domestic and international investors seeking to anchor operations in Malaysia’s AI ecosystem.
Shifting Dynamics in Global Offshoring
Robert Walters also highlighted that these trends reflect a broader evolution in global offshoring strategies. While cost arbitrage and scale once defined outsourcing, the new paradigm increasingly prioritises capability, quality, and resilience, particularly in high-tech and knowledge-based functions.
“Strong English proficiency, technical expertise, and a growing emphasis on future-ready skills position Malaysia as a compelling destination for companies looking to scale operations and capture AI-driven opportunities across Southeast Asia,” noted David Barr, CEO of Outsourcing at Robert Walters.
Regional Competitiveness and Broader Implications
Malaysia’s appeal lies in its combination of well-established infrastructure, political stability, and depth of talent across knowledge-intensive services. As global firms decentralise high-value functions from legacy hubs, Malaysia is emerging as a preferred location not only for data-intensive operations but also for regional AI research, development, and deployment activities.
For investors, the report suggests that Malaysia is positioned at the intersection of two powerful trends: the surge in AI adoption worldwide and the reconfiguration of global offshoring models. The resulting combination could accelerate Malaysia’s transition from a cost-competitive outsourcing hub to a high-value innovation and digital infrastructure powerhouse.
Methodology of Investment Estimate
The Robert Walters analysis was based on publicly announced AI and data centre investments in Malaysia between 2023 and 2025, drawing from press releases, loan agreements, and filings with the Malaysian Investment Development Authority (MIDA). Reported values in local currency were converted into U.S. dollars using official exchange rates at the time of disclosure.
The total figure of US$40 billion includes:
- Committed and announced projects verified through government or corporate sources.
- Planned projects disclosed but not yet finalised.
- Contracted projects with undisclosed values, estimated using industry benchmarks for AI-ready data centre construction. These estimates accounted for less than 10% of the total, ensuring the analysis was grounded primarily on confirmed commitments.
