By As Malaysia prepares for Budget 2025, experts are calling for increased funding for electric vehicle (EV) skills training and the integration of artificial intelligence (AI) into the country’s transportation systems. With the automotive industry rapidly advancing in EV technology, stakeholders are pushing for investments in workforce development and infrastructure that can support the country’s green mobility goals.
Expanding EV Training to Meet Industry Demands
Dr. Mohd Azman Abas, Director of the Automotive Development Centre (ADC) at Universiti Teknologi Malaysia (UTM), stresses that while the country has already introduced EV training programs, these efforts need further strengthening. The automotive industry is evolving fast, and so are the skills required to thrive within it.
“We need additional funding to improve EV training programs,” Dr. Azman stated. “Trainees must acquire the technical skills necessary to meet the growing demands of the EV industry.”
The lack of appropriate equipment and facilities is another pressing issue. Without advanced tools, practical, hands-on training becomes a challenge. By investing in upgraded infrastructure, Malaysia could build a skilled workforce ready to support the growing EV sector. Dr. Azman emphasized that expanding expertise in maintaining and managing EV charging stations is particularly critical as demand for such infrastructure rises.
Safety and Sustainability: Key Focus Areas for Training
One essential aspect of the proposed improvements is enhancing safety in EV training programs. “EVs operate on high-voltage systems, and safety training is crucial,” Dr. Azman said. Ensuring that future workers are proficient in both technical skills and safety protocols will help the industry grow sustainably.
The focus is not just on building a technically skilled workforce but also on ensuring that safety remains at the forefront of this transition. By improving safety standards in training, Malaysia can ensure the readiness of its workforce as it embraces the future of electric mobility.
AI Integration for Smarter Transportation Systems
While EVs are a significant part of the green mobility shift, AI’s role in optimizing Malaysia’s transport system is gaining attention. Universiti Putra Malaysia’s vice-chancellor, Datuk Prof Dr. Ahmad Farhan Mohd Sadullah, suggests that AI integration should be a key priority in the upcoming budget.
“AI can optimize the frequency of public transport schedules and manage traffic flow more efficiently, reducing congestion on critical routes,” he explained. By leveraging AI technology alongside the Fourth Industrial Revolution (IR4.0), Malaysia could achieve better traffic management and reduce bottlenecks.
The Push for Holistic Mobility Solutions
Dr. Farhan also proposed the government further emphasize the Low Carbon Mobility Blueprint (LCMB) 2021-2030, focusing on reducing the overall carbon footprint of transportation. Instead of focusing solely on EVs, a more comprehensive approach could include public transport optimization and even congestion pricing in high-traffic areas like the Klang Valley.
This holistic strategy could not only reduce private vehicle use but also encourage Malaysians to rely on more efficient, low-emission public transport. The blend of AI, EV adoption, and a focus on sustainable mobility paints a picture of a future-ready Malaysia that prioritizes environmental and economic outcomes alike.