Singapore’s Budget 2026 put artificial intelligence squarely in the national spotlight — expanding support measures and rolling out new initiatives aimed at embedding AI across the economy. That’s an important first step, but as a recent Budget-special Industry Insight edition makes clear, announcements alone won’t close the gap between experimentation and impact.
On the programme, host Lynlee Foo speaks with Kelvin Koh, Co‑Chair of SGTech’s Singapore Enterprise Chapter, about a crucial question: are Singapore’s small and medium enterprises ready to move beyond pilots to meaningful, scaled AI adoption? The conversation highlights a rising level of SME interest, but also points to persistent structural barriers that stop many projects from graduating past the proof‑of‑concept stage.
Those barriers aren’t just technical. Koh and the episode explore how scaling AI requires more than tools and funding — it demands change management, new ways of partnering, and practical roadmaps that align AI projects to business outcomes. For many SMEs, the shift is organisational as much as it is technological: embedding AI successfully means rethinking processes, roles and expectations so early wins can be sustained and grown.
Partnerships also take centre stage in the discussion. Whether through industry groups, technology vendors or government programmes, collaboration can help smaller firms access expertise, share risks and shorten the learning curve. The interview suggests that a national tipping point in AI adoption will likely come not from a single policy or grant, but from a combination of interest, practical support, and visible examples of scaled success.
Budget 2026’s AI thrust is a clear signal of intent. The real test now is turning that intent into durable outcomes for SMEs — helping them move from curiosity and pilots to scaled, value‑creating uses of AI that keep them competitive in a rapidly changing economy.
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