Prime Minister Lawrence Wong warned on Monday that generative artificial intelligence could break the bottom rung of corporate career ladders if firms automate routine tasks without replacing the mentorship those tasks once provided.
Speaking in dialogue with DBS chief executive Tan Su Shan at the bank's Asia Future Forward conference, Wong said the government is studying whether new incentives are needed so employers keep training fresh graduates even as chatbots draft slides and code assistants finish spreadsheets.
The policy tension
Singapore wants maximum productivity from AI adoption — Wong reiterated that firms should harness the technology fully — but he argued that automating away "grunt work" can also automate away the learning that turned interns into managers. A SkillsFuture survey cited in the same session found that among local firms using AI, a measurable share reported lower hiring appetite, intensifying the worry for polytechnic and university leavers.
What banks are doing
Hosting the forum at its headquarters put DBS in the spotlight. The lender has rolled out internal copilots for relationship managers while pledging reskilling budgets. Wong's comments pressure every CIO slide deck to include a training line item, not just cost savings.
Technology correspondent Nurul Aziz notes that MAS already expects banks to remain liable for vendor chatbots; Wong's message extends that accountability to human capital. If a bot answers customer queries, who trains the next batch of officers to handle exceptions?
Sectors beyond finance
Law firms, audit practices and logistics coordinators face similar forks. Document review bots shrink billable hours for juniors, yet partners still need associates who have read real contracts. Wong's hint at future schemes suggests payroll grants or tax nudges could reward structured apprenticeships that AI cannot replicate.
What workers can do
Employees should document skills that combine domain judgment with tool fluency — for example, validating an AI-generated credit memo rather than merely producing one. Employers, meanwhile, need explicit rotation plans so graduates spend time on client calls and site visits even when drafts are machine-generated.
Monday's dialogue did not announce a new programme, but it telegraphed one is coming. For Singapore's workforce, the headline is clear: productivity without pipelines is a political problem, not just an HR slide.
Education links
Institutes of higher learning are revising internship rubrics to score students on verifying machine output, not just producing it. Wong's remarks align with those syllabus changes and may foreshadow funding for work-study places in regulated sectors like healthcare and logistics.
Start-ups argue they cannot afford long training cycles; Wong countered that productivity gains should fund mentorship, not replace it. The debate will land in Budget discussions if hiring surveys continue to show AI adoption correlating with fewer junior openings.