How AI is Changing the Future of Jobs: A Developing Country Perspective
Introduction
Artificial Intelligence (AI) is no longer a concept of the future – it is already reshaping industries across the globe. From automating simple tasks to making complex decisions, AI is becoming a vital part of the modern workplace. But while developed nations are rapidly adapting, what does this mean for developing countries like Bangladesh, India, Nigeria, or Nepal? Are we prepared for the changes? Will AI replace jobs or create new opportunities?
In this blog, we’ll explore how AI is transforming the job market in developing countries, supported by real data, case studies, and expert opinions.
1. What is AI and Why is it Important in the Job Market?
Artificial Intelligence refers to computer systems that can perform tasks typically requiring human intelligence. These include:
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Speech recognition (like Google Assistant)
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Image processing (like facial recognition)
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Decision-making (like self-driving cars)
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Chatbots and virtual assistants (like ChatGPT)
AI is becoming essential for businesses because it:
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Increases efficiency
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Reduces costs
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Improves customer experience
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Automates repetitive tasks
2. Which Jobs Are at Risk in Developing Countries?
AI is replacing many routine and low-skilled jobs, especially in sectors like:
| Sector | At-Risk Jobs | Reason |
|---|---|---|
| Textile/Garments | Sewing machine operators | Automated sewing machines |
| Data Entry | Typists, form fillers | AI-based OCR, auto-form-fill |
| Customer Service | Call center agents | AI chatbots, voice assistants |
| Agriculture | Manual monitoring jobs | Drones, AI crop monitoring |
| Transportation | Delivery drivers (future risk) | Self-driving vehicles |
🔍 Real Example:
In Bangladesh’s ready-made garment (RMG) sector, automation has already reduced the need for manual workers in some factories. According to the International Labour Organization (ILO), 60% of garment jobs in Bangladesh are at risk due to automation.
3. Jobs That Will Grow Because of AI
AI will eliminate some jobs, but it will also create new types of jobs, such as:
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AI engineers & programmers
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Data analysts
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Machine learning trainers
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Cybersecurity experts
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Digital marketing specialists
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Remote tech support
Upskilling is key – those who can learn new skills will survive and thrive in this new job market.
🔍 Real Example:
India has seen a boom in AI-based startups, creating thousands of new jobs in AI development, data labeling, and tech services – a trend Bangladesh can follow.
4. Challenges for Developing Countries
Developing countries face unique challenges in adapting to AI:
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Lack of skilled workforce
➤ Most workers are not trained in digital or technical skills. -
Low investment in R&D
➤ Very few AI startups or research initiatives compared to developed nations. -
Poor infrastructure
➤ Slow internet, outdated machines, power problems. -
Job loss in informal sector
➤ Informal workers (e.g., rickshaw pullers, factory helpers) are at risk and often don’t have a safety net.
5. What Should Governments and Youth Do?
✅ Government Actions:
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Invest in education and training
➤ More vocational and tech-based programs. -
Support startups
➤ Offer tax incentives and funding for AI-based businesses. -
Build digital infrastructure
➤ Improve internet, electricity, and rural tech access.
✅ What You Can Do as a Student or Job Seeker:
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Learn tech skills (Python, data analysis, AI basics)
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Explore freelancing and remote work platforms
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Follow global AI trends
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Take online courses (Coursera, edX, etc.)
6. Conclusion
AI is not something to fear – it’s something to prepare for. While it will disrupt some traditional jobs in developing countries, it also opens doors to entirely new careers. The key is education, awareness, and adaptability. For countries like Bangladesh, the next few years will be critical in shaping a workforce that’s ready for the AI revolution.
Sources & References:
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International Labour Organization (ILO) Reports
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World Economic Forum – The Future of Jobs Report
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McKinsey Global Institute
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Government of Bangladesh – ICT Division
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Coursera & edX course databases
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