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In many factories, AI is becoming the digital equivalent of an AI's effectiveness before expanding into other areas.
experienced assistant rather than an autonomous replacement. Equally important is ensuring that reliable data is available.
AI systems perform best when supplied with accurate
Preparing Employees for an AI-Enabled Workplace production records, quality data, machine information and
The companies that will benefit most from AI are unlikely to be inventory levels. Improving data collection today lays the
those with the largest technology budgets. Instead, success will foundation for more advanced AI applications tomorrow.

belong to organisations that prepare their people for change. Partnerships can also accelerate adoption. Technology
Introducing AI should begin with education rather than providers, universities, equipment manufacturers and government-
automation. supported innovation programmes across Asia increasingly
Employees need to understand what AI can and cannot do. offer AI solutions tailored to manufacturing SMEs.
Many fears surrounding AI arise simply because workers Companies do not need to develop sophisticated AI
assume it will replace their jobs. In reality, most AI applications capabilities entirely in-house to begin realising value.
in manufacturing are designed to improve decision-making Finally, manufacturers should establish a culture of
and reduce repetitive work. continuous learning. AI technologies are evolving rapidly,
Providing practical demonstrations can help build confidence. and organisations that encourage experimentation, invest in

For example, allowing designers to experiment with AI-assisted employee development and regularly review their processes
concept generation or showing maintenance teams how predictive will be better positioned to adapt as new tools emerge.
maintenance software identifies potential equipment failures
helps employees see AI as a useful tool rather than a threat. Looking Ahead
Training should also extend beyond technical skills. Artificial intelligence is unlikely to replace the furniture industry—it
As AI becomes increasingly integrated into manufacturing, will reshape it.
workers will need stronger capabilities in problem-solving, digital The manufacturers that thrive over the next decade will

literacy, data interpretation and cross-functional collaboration. not necessarily be those with the most advanced robots or
The most valuable employees of the future may not be the largest AI investments. They will be those that successfully
those who can operate AI independently, but those who combine technology with the experience, creativity and
know when to trust its recommendations—and when human craftsmanship of their workforce.
judgement should take precedence. For Asia, where furniture manufacturing has long been one
of the region's industrial strengths, AI presents an opportunity
How Manufacturers Can Begin Their AI Journey to move beyond competing primarily on labour costs towards
For many small and medium-sized furniture manufacturers, competing on innovation, responsiveness and quality.
the prospect of implementing AI can seem overwhelming. The future factory is unlikely to be one where machines

The good news is that transformation does not need to work alone. Instead, it will be one where intelligent systems
happen overnight. handle repetitive analysis while skilled people focus on design,
A sensible approach is to begin with one clearly defined craftsmanship, customer relationships and continuous improvement.
business challenge. In many ways, AI is not replacing the people who build
Perhaps production scheduling is inefficient. Maybe defect furniture. It is giving them better tools with which to build
rates are too high. Perhaps inventory forecasting is inconsistent. the future. FDM
Selecting a single problem allows manufacturers to evaluate ENQUIRY NO. 5001