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The Malaysian Investment Development Authority (MIDA) is strengthening Malaysia’s semiconductor ecosystem through a strategic focus on talent development, smart manufacturing and supply chain integration.

Malaysian technology companies secured more than MYR 450 million ($115.09 million) in potential export opportunities at SusHi Tech Tokyo 2026, driven by growing international demand for artificial intelligence (AI), smart mobility and autonomous technology solutions, according to the Malaysia Digital Economy Corporation (MDEC).

The race to adopt AI is moving faster than the race to govern it. The organizations that close that gap first — not by slowing AI adoption, but by building the visibility and governance to match it — will be the ones that turn AI from a liability into a genuine competitive advantage.

ASEAN leaders have intensified regional push to advance supply chain resilience alongside green and digital initiatives amid Middle East tensions.

Singapore's investor GIC is backing Anthropic-linked new artificial intelligence (AI)-native enterprise services firm.

Expansion doesn't break companies. Invisible infrastructure gaps do. Singapore scaleups have always punched above their weight. The ones that continue to do so aren’t just moving fast; they’re building the financial infrastructure to support the speed. 

Princeton Digital Group said it has secured approximately $856 million in financing to support the development of its 120-MW JC3 data center campus in Indonesia

Thailand’s Board of Investment (BOI) has approved six major projects worth a combined 958 billion baht ($29 billion), led by a large-scale data infrastructure expansion by TikTok System (Thailand) Co., Ltd., underscoring the country’s growing role as a regional hub for data centers, cloud services and artificial intelligence (AI)-driven digital…

VinFast, the electric vehicle manufacturer under Vietnam’s conglomerate VinFast, has launched the VF MPV 7 electric vehicle in the Philippines, making the country the third international market where the model is available.

The next phase of CRM AI maturity will come down to execution, especially whether businesses can make AI work reliably in day-to-day operations. Closing that gap requires more than technical capability alone. It requires stronger coordination across systems, journeys, and teams so AI can deliver meaningful outcomes in practice.