The real AI race is for deployable talent, not models
Singapore’s AI journey requires systemic scaling, focusing on talent over models. Success depends on developing "AI bilingualism"—understanding its capabilities and risks. Realizing full potential demands work redesign, applied learning, and robust cross-sector collaboration across the economy.
Scaling the tech’s positive impact will require work redesign, applied learning, cross-sector collaboration
Dorcas Tan
Published
SINGAPORE is entering a new phase of its artificial intelligence journey, where the pressing question is how to deliver its benefits at scale.
Our digital economy is worth S$128.1 billion, accounting for 18.6 per cent of gross domestic product. Growth is increasingly driven by digitalisation across sectors beyond just technology.
Nearly three in four Singapore workers reported using AI tools at work, with small and medium-sized enterprise (SME) adoption rates tripling from 4.2 per cent to 14.5 per cent and non-SME adoption rates rising from 44 per cent to 62.5 per cent, based on the latest Singapore Digital Economy Report.
source: The Business Times https://www.businesstimes.com.sg/opinion-features/real-ai-race-deployable-talent-not-models
