World Bank survey of 16,500 civil servants across 28 ministries also finds that demand for generative AI and data visualisation training outstrips supply.
Titled “Building Malaysia’s Future Government: Unlocking Public Sector Productivity with GovTech”, the report found that unclear career pathways, uncertainty over what digital skills to prioritise, and outdated equipment, software and recruitment processes were greater barriers to hiring digital professionals than salary.
World Bank lead public sector specialist Marco Larizza said the findings were drawn from Malaysia’s first federal assessment of digital readiness, which included a survey of more than 16,500 civil servants across 28 ministries.
“It’s not just about salary. This is something we want to highlight in the report because it shows there is room for intervention,” he said when presenting the report.
Larizza said the survey also found that demand for digital skills training, particularly in generative artificial intelligence and data visualisation, continued to outpace supply.
According to the survey, while 71% of respondents said they wanted AI-related training, only 52% had received it.
It also found that only 22% had undergone training in data visualisation, despite strong demand for such training.
Larizza said participation in digital training also varied widely across ministries, with fewer than one-third of civil servants saying they had received sufficient training to perform their roles effectively.
He said addressing these gaps would require better alignment between training programmes and actual job needs, as well as a more coordinated approach to digital skills development across the public service.
The report was jointly produced by the World Bank and the digital ministry, with support from the public service department, to assess Malaysia’s public sector digital transformation and identify institutional and capability gaps affecting productivity. - FMT
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