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Singapore’s AI Adoption Gap Is About Workplace Execution, Not Worker Scepticism
Just 6% of Singapore desk workers said AI was a core part of their daily work, versus 11% globally, even though only 29% identified as AI sceptics.
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Key takeaways
- Just 6% of Singapore desk workers said AI was a core part of their daily work, versus 11% globally, even though only 29% identified as AI sceptics.
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openai.comCreate a landscape editorial hero image for this Studio Global article: What did Salesforce’s survey with YouGov, conducted from December 2025 to January 2026 among more than 1,500 desk workers across 14 markets. Article summary: Salesforce’s survey revealed a gap between openness to AI and meaningful workplace use: Singapore workers were relatively receptive, yet few used AI as a core daily tool. Salesforce attributed that “adoption paradox” to . Topic tags: general, general web, user generated. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fak
Singapore’s workplace AI adoption gap is striking: workers are comparatively open to the technology, but few say it has become central to their daily work. Salesforce’s survey points to a problem of execution—how companies introduce and fit AI into work—rather than widespread scepticism among employees. 5
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The gap between openness and daily use
Only 29% of Singapore desk workers identified as AI sceptics, compared with 37% globally and 53% in the United States, the United Kingdom and France. Yet just 6% said AI was a core part of their day-to-day work, against a global average of 11%. 5
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The survey was conducted by YouGov for Salesforce and covered more than 1,500 desk workers across 14 markets, according to reporting on the study. 8 The figures describe a difference between attitude and routine use: being willing to try AI does not necessarily mean finding it useful enough to rely on at work.
Why workplace AI pilots can fall short
Reports on the findings identify generic outputs, low trust in AI responses and a lack of business context as problems associated with unsuccessful Singapore pilots. 23 These are related but distinct issues: an answer may be too generic to help with a specific task, difficult to trust, or disconnected from the organisation’s work and information.
Salesforce attributed the gap between openness and daily use to weak corporate rollouts rather than worker resistance. 5
10 That is the company’s interpretation of the survey, not proof that rollout quality is the only factor affecting adoption.
What organisations can do with the findings
The survey’s central lesson for employers is to evaluate AI by whether it works in the context of real jobs—not just whether employees are willing to experiment with it. Practical steps include:
- Train people for the work they do: Role-specific guidance can help employees apply tools to relevant tasks and assess their outputs.
- Fit AI into existing workflows: A tool is more likely to be useful when it supports a real step in a work process rather than sitting apart as a standalone pilot.
- Make trust and data protection part of the rollout: Clear safeguards and expectations can help employees understand when and how to use workplace AI.
- Check output quality in context: Assess whether responses are relevant, accurate and dependable for the task at hand.
These are practical implications of the reported adoption and pilot-quality problems; the available reporting does not establish that any particular combination of training, workflow integration or security measures caused workers to move from pilot use to deep daily adoption.
The takeaway
Singapore’s low daily-use figure alongside its relatively low scepticism rate suggests that positive attitudes alone do not produce workplace adoption. The key challenge is turning experimentation into dependable, task-relevant help—and measuring whether the tools actually deliver it. 5
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Just 6% of Singapore desk workers said AI was a core part of their daily work, versus 11% globally, even though only 29% identified as AI sceptics.
Sources
salesforce.comSingapore workers among world's least AI-sceptical, yet ...
technode.globalSingapore workers least skeptical about AI globally, but rank lowest for daily adoption: Salesforce - TNGlobal
erzycall.comSingapore's AI Gap: Execution, Not Attitude - ErzyCall Blog
southeastasiaconnect.comSalesforce survey puts Singapore’s AI adoption gap on enterprise watchlists