The high cost of cheaper labor

Bangladesh built the world’s second-largest garment export industry by assembling vast quantities of clothing using millions of low-cost workers, and then supplying Western High Street brands at prices rivals could not touch. That formula is hitting its limit. 

Factory owners face a potent mix of upward wage pressure, volatile energy costs, buyers demanding ever-shorter lead times, and global competitors pouring capital into advanced manufacturing technology. Automation offers an intriguing escape hatch. Yet for an ecosystem employing roughly four million people, it presents a daunting dilemma: what occurs when capital-intensive machinery replaces the very human hands that sustain millions of households?

The debate is frequently framed as a stark choice between human labor and robotic efficiency. It is, however, fundamentally an exercise in hard-headed microeconomics. The core issue is determining which specific processes can be automated profitably, which tasks still demand human dexterous flexibility, and how rapidly local factories can fund the transition. 

The ultimate resolution will decide whether technological adoption elevates the country’s apparel sector or deepens the gulf separating elite exporting conglomerates from thousands of struggling, small-scale manufacturers.

A comprehensive examination by the Bangladesh Institute of Development Studies across dozens of factories and over a hundred subprocesses reveals the nuanced speed of this transition. Productivity grew by an annual average of 4.19% over the past decade, but gains were overwhelmingly concentrated in highly repetitive tasks. 

Automated cutting systems now process up to 10,000 garment pieces daily using two or three technicians, replacing the ten to twelve workers needed in decades past. Consequently, cutting productivity surged by 11.13% annually, with knitting and wet processing following close behind.

Yet cutting fabric is a far cry from stitching a finished shirt. Sewing requires manipulating flexible materials, aligning uneven edges, and constantly adapting to changing fashion designs. Automating those intricate physical interactions remains technologically complex and financially prohibitive. 

This practical hurdle explains why a wholesale, immediate replacement of Bangladesh’s garment workforce remains unlikely. The sector’s near-term trajectory points toward highly selective automation.

Progressive firms like Snowtex Group, Fatullah Apparels, and Team Group are already leading the shift by deploying artificial intelligence to track real-time production throughput, equipment uptime, and defect rates. Some operators report output gains of up to 25%. Crucially, this demonstrates that modernization does not always necessitate mass redundancies. 

Advanced software can streamline workflow bottlenecks, minimize raw material waste, and improve scheduling. A factory can boost total output with the same headcount simply through superior organizational management.

The underlying financial calculations remain unforgiving for most factory owners. Advanced automated equipment demands substantial upfront capital, ongoing maintenance, specialized technical expertise, and an uninterrupted power supply. 

Because nearly all machinery must be imported, smaller factory owners—already squeezed by high borrowing costs and volatile order volumes—struggle to justify the outlay.

Consider a machine costing $100,000. If it yields $25,000 in net annual savings after extra operational expenses, it pays for itself in four years. If net savings drop to $10,000, that payback timeline stretches to a decade. Factor in elevated interest rates, operational downtime, and shifting buyer commitments, and the return on investment looks decidedly precarious. 

Paradoxically, cheap labor weakens the business case for capital expenditure: when wages are low, the absolute cash saved by eliminating a worker is minimal.

That dynamic, however, is shifting as labor costs rise. Labor groups are pressing for a minimum monthly wage of 30,000 taka, a steep jump from the statutory 12,500 taka minimum. Substantially higher labor costs would alter payback calculations and accelerate the adoption of labor-saving technology, particularly for basic, standardized garments.

This creates an acute policy paradox. Raising real wages is vital for workers struggling against persistent inflation. Yet rising pay scales compel employers to automate the very jobs those workers depend upon. Preserving artificially depressed wages to deter capital investment is untenable; using poverty-level compensation as industrial policy guarantees long-term stagnation. 

Conversely, treating automation as an unalloyed good is equally short-sighted. A factory that doubles per-worker productivity while halving its headcount may bolster its operating margins, but it offers diminished gains to wider society.

The social risks are particularly acute for women. Studies show the female share of Bangladesh’s garment labor force has dropped from nearly 80% in the 1980s to around 50% today. While broader structural shifts are at play, technological restructuring risks entrenching gender disparities if female workers are not trained to operate advanced machinery.

Research by the Centre for Policy Dialogue cautions that unchecked automation could put up to 1.22 million garment jobs at risk.

Compounding the problem, Bangladesh lacks alternative industrial sectors capable of absorbing displaced apparel workers on a meaningful scale. Sewing operators cannot seamlessly pivot to become equipment technicians or software engineers. Upskilling initiatives must precede displacement, requiring targeted technical education, factory-based apprenticeships, and adaptable social safety nets.

Market forces will ultimately dictate the pace of automation. Bangladesh’s competitive edge will depend on pairing modern technology with a highly skilled, better-paid workforce capable of making higher-value goods. 

Machinery can transform factory economics, but it cannot substitute for a comprehensive national strategy that safeguards the livelihoods of those who built the industry.

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Mahbubul Haque is a director at a Dhaka-based IT firm