AI pulls up the civil service ladder to Southeast Asia’s middle class

Artificial intelligence (AI) is poised to transform government bureaucracies throughout Southeast Asia, though the most significant impact may not stem from massive layoffs. Instead, experts suggest the technology will alter existing roles and limit prospects for young graduates seeking civil service employment, even as governments strive to enhance efficiency without sacrificing job security.

Unlike the Netherlands, which aims to eliminate around 25,000 full-time equivalent civil service positions over the next ten years through efficiency initiatives, Southeast Asian governments confront a delicate balance between improving public services and preserving employment. Analysts argue that this balance, combined with political factors and employment safeguards, will determine whether productivity gains result in better services, staff redeployment, or fewer job opportunities.

Singapore serves as an example of the complexities surrounding public-sector restructuring, even when AI is not the cause of job cuts. The country's public-sector technology agency, GovTech, has conducted two rounds of retrenchments, affecting 131 officers, including 38 in October. However, the agency insists these cuts are not driven by AI nor a cost-cutting measure.

Instead, GovTech seeks to adjust its workforce skills to assume greater responsibility for digital products and services. The Ministry of Digital Development and Information explained that 36 out of the first 93 affected officers had left by August, with the remaining 57 continuing on projects until their last day of service. By October 30, 11 of those who left had secured jobs in the public or private sector, while 14 received career coaching or applied for positions through support partners.

Another 11 had not utilized these services due to personal plans, career breaks, or other options. Despite concerns about AI-driven job displacement, Singapore's labor leader, Caryn Lim, posits that the technology's impact has primarily been in job redesign and shifting work processes rather than outright job loss. NTUC's Company Training Committees engage workers and unions in identifying changes and necessary training for new roles.

Lim emphasized that job cuts should be a last resort, with employers and unions exploring job redesign, retraining, and redeployment first. Malaysia's civil service union, CUEPACS, has urged public officers to master AI to improve data processing, policy implementation, and public-service delivery. The union's president, Adnan Mat, recently reiterated the importance of upgrading workers' skills to stay relevant as employers' requirements change.

However, employment implications depend not only on which tasks can be automated but also on where officers are needed. For instance, AI-assisted case sorting and administrative processing could free up welfare officers for frontline work, addressing unmet needs rather than justifying staff reductions.