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Why orchestration is manufacturing’s next growth engine

Amit Khandelwal
Amit Khandelwal  • 5 min read
Why orchestration is manufacturing’s next growth engine
AI-powered automation in manufacturing isn’t entirely new, but the conversation has shifted to how agentic AI can be applied across workflows and assembly lines. Photo: Unsplash
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Singapore’s edge as a global trade hub hinges on a manufacturing industry that is both advanced and resilient. To stay ahead, factory floors must operate with zero downtime, friction-free workflows, and real-time data-driven adaptability.

The Singapore Budget 2026 tackles this head-on, placing advanced manufacturing at the heart of the National AI Missions. This renewed focus reflects the manufacturing sector’s strategic role in Singapore’s economy, given that it is a key driver of the city-state’s 5% GDP growth in 2025. Strengthening AI capabilities in manufacturing reinforces the twin engines of productivity and resilience — ensuring that growth remains competitive, shock-resistant and structurally sustainable.

This strategic bet is not theoretical. Agentic AI, in particular, is already gaining momentum in Singapore and the region as a force multiplier across industries, including manufacturing. According to a recent study by the International Data Corp (IDC), 44% of organisations in Southeast Asia (SEA), including Singapore, are already planning to implement agentic AI within the next 12 months. In manufacturing, AI-driven automation also offers a pragmatic way to sustain output without increasing wage pressure in a tightening labour market.

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