AI Is Making Talent Invisible, and That Is a Problem for Organisations
Source: The Business Times
The polished report, the consulting-grade deck, the well-reasoned analysis — these have long been the trusted signals of workplace competence. But as AI tools become capable of producing high-quality output in minutes, the link between effort and output has been quietly severed.
The polished report, the consulting-grade deck, the well-reasoned analysis — these have long been the trusted signals of workplace competence. But as AI tools become capable of producing high-quality output in minutes, the link between effort and output has been quietly severed. In a new essay for The Business Times, Willie Shi, associate faculty at the Singapore University of Social Sciences and visiting scholar at NUS's Lee Kuan Yew School of Public Policy, argues that the real problem with AI is not information overload — it is the disappearance of visible markers of skill and labour.
Shi contends that society has historically used polished output as a reliable proxy for competence. A junior analyst producing a board-ready presentation, or a fresh graduate turning out a consulting-level report, would immediately stand out. But in an era where AI can generate these outputs on demand, that proxy no longer holds. The average quality of work has risen sharply, but individual skill differences are now masked behind AI-augmented output. The question becomes: if almost anyone can produce polished work, how does an organisation evaluate talent from output alone?
For Singapore, the stakes are particularly high. The city-state's competitive advantage has long rested on a highly educated professional workforce valued for its analytical and communication abilities. AI is commoditising these exact outputs, threatening a core national differentiator. The article warns that employers must shift their focus from evaluating the generation of information — which AI handles cheaply — to identifying who brings genuine human judgment to the process. The scarcest skill in the AI era, Shi suggests, will not be technical proficiency but the capacity for critical discernment and accountability.
Why it matters for Singapore: Singapore's knowledge economy depends on being able to identify and reward genuine talent. If polished output is no longer a reliable signal of competence, the entire hiring, promotion, and performance evaluation infrastructure needs rethinking. Companies in Singapore that adapt fastest will be those that learn to recognise human judgment after the old markers of expertise have lost their meaning. This is not just an HR challenge — it is a structural shift that could reshape how Singapore's professional services, finance, and tech sectors assess value.