While NTUC’s emphasis on upskilling and reskilling is well-intentioned, critics caution that it may underestimate the speed and scale of job disruptions caused by AI. Rapid automation can render even newly acquired skills obsolete, creating a moving target for affected workers. The reality for many may involve repeated retraining without guaranteed reemployment, which poses significant social and psychological risks.
Additionally, some argue that focusing primarily on individual adaptation shifts responsibility away from employers and policymakers to systemic factors. Layoffs triggered by AI-driven efficiencies could lead to persistent income inequality and job insecurity, particularly among older or less technologically adept workers who face barriers to learning new skills.
There are also concerns that NTUC’s cooperative framework with employers might limit robust advocacy for tougher labor protections, as unions seek to maintain close ties with industry stakeholders. The balance between embracing digital progress and safeguarding worker rights remains delicate and may not always favor vulnerable employees.
Experts warn that without comprehensive policy reforms, including stronger unemployment support and regulations on AI adoption pace, reliance on upskilling alone will not suffice to prevent social dislocation from accelerating technological change.