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Singapore Ranks Second Globally for AI Workforce Adoption but Leaders Lag

Source: Malay Mail

Microsoft's 2026 Work Trend Index ranks Singapore second globally on its AI Diffusion Index, with 66% of employees producing work they could not have created a year ago, but only 24% believe their leadership has a clear AI strategy — below the global average of 26%.

Singapore Ranks Second Globally for AI Workforce Adoption but Leaders Lag
SGAI Daily

Singapore's workforce is among the world's most AI-proficient, but its business leaders are failing to keep up. That is the central finding of Microsoft's 2026 Work Trend Index, which ranks Singapore second globally on its AI Diffusion Index — a measure of how deeply AI is embedded into workplace practices and skills.

The data paints a striking picture of grassroots AI adoption. Some 66% of Singapore employees say they are producing work they could not have created a year ago thanks to AI, well above the 58% global average. A notable 82% qualify as "Frontier Professionals" in AI skill level, and 88% say they retain responsibility for the thinking behind AI-generated work — the highest indicator of responsible AI use. Over half of respondents named critical thinking as the most vital AI skill.

Yet on the strategic front, the picture flips. While 78% of AI users in Singapore recognise the urgency of adapting to AI quickly, only 24% believe their leadership teams are aligned on a clear AI strategy. That figure sits below the global average of 26%, revealing a significant gap between employee momentum and organisational direction.

Microsoft Singapore Managing Director Wee Luen Chia described the workforce as "among the most AI-ready in the world," but cautioned that the next phase of value creation depends on systematic organisational reinforcement rather than individual initiative alone.

Why it matters for Singapore: The report suggests Singapore's AI competitive advantage currently rests on its people, not its boardrooms. As the city-state pushes to become a global AI hub through initiatives like the National AI Strategy 2.0 and the Smart Nation agenda, closing the leadership-strategy gap becomes the critical next step — otherwise, grassroots momentum risks being squandered without the organisational scaffolding to scale it. For policymakers and enterprise leaders, the message is clear: world-class talent needs world-class direction to translate into economic output.

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