Bangladesh's garment industry is confronting a question its cost structure was built to avoid: can artificial intelligence fix competitiveness problems that cheap labour cannot?

That is the framing of a commentary published by The Daily Star, Dhaka's leading English-language daily, which examines whether AI adoption offers the country's readymade garment (RMG) sector a route past the limits of a low-wage sourcing model.

Why is the question landing now?

Bangladesh remains one of the world's largest apparel exporters, and its factories have competed for decades primarily on labour cost. That advantage is narrowing. Wages in the sector have risen under repeated minimum-wage revisions, while buyer compliance expectations, energy costs and rival sourcing hubs squeeze margins from the other side.

The Daily Star's intervention matters because the paper speaks directly to the domestic industry and policy audience. When a Dhaka outlet frames AI as a fix for what cheap labour cannot deliver, it signals that the automation debate has moved from European buyer roadmaps into the supplier-base conversation itself.

Where could AI change the factory floor?

The article's central proposition is that AI — rather than wages alone — could determine which Bangladeshi factories keep orders as buyers consolidate supplier lists.

For tier-one cut-make-trim suppliers, the practical applications in circulation across the industry include:

• Automated production planning and line balancing
• Defect detection and quality inspection systems
• Demand forecasting tied to buyer order books
• Energy and waste optimisation in wet processing

The compliance dimension is inseparable from the commercial one. Buyers increasingly score suppliers on traceability and emissions data, and AI-driven monitoring is one route factories can use to evidence those metrics against the standards behind them.

What is confirmed versus speculative?

The Daily Star piece is a commentary raising the question, not a report of a signed buyer-supplier commitment, a specific factory investment or a named technology partner. No order volumes, headcount figures or capacity commitments appear in the article itself.

That distinction matters for sourcing teams. Broad industry enthusiasm for AI in Bangladesh is well documented; individual, contract-backed automation programmes at named RMG facilities are a separate category of news, and this item belongs to the former.

What decision does this force?

For sourcing directors, the piece is a prompt rather than a procurement event. It forces two questions onto the supplier-review agenda:

1. Which Bangladeshi suppliers in your base have a costed automation or AI roadmap, and can they show it?
2. Will your supplier scorecards start rewarding AI-enabled efficiency and data-backed compliance in the next buying cycle?

For Bangladeshi manufacturers, the stakes are the reverse: buyers will eventually price in the productivity gap between automated and labour-only factories, and the window for investing before that gap shows up in quotations is finite.

The Daily Star's question — whether AI can fix what cheap labour cannot — will be answered order by order, in the price negotiations of the coming buying seasons.