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CaptionVisual: Adrin Sarwar
How AI is closing the door on Bangladesh’s female software can handle routine daily tasks.
For ordinary office workers, this means fewer graduate trainee opportunities. But on global freelance marketplaces such as Upwork and Fiverr, this shift is undermining the very system that beginners have traditionally relied upon to build their careers.
How the freelance ladder got broken
Explaining why these entry-level opportunities are vanishing, Syeda Sanjida Afrin, a former digital marketing manager at WPCenter, notes that in fields such as content creation, email campaigns and market trend research, AI tools have drastically reduced the time required to deliver finished work. By training an AI model on a specific product and providing clear prompts, tasks that once required an entire eight-hour working day can now be completed and polished in just a few hours. Activities that used to be assigned to junior assistants, such as researching competitors, building content banks and organising editorial calendars, can now be completed, with the results neatly formatted, by a single person in minutes.
ImageAI is disrupting the traditional entry-level career pathway, leaving beginners with fewer opportunities to gain practical experience, develop their skills and establish themselves in the digital economy. Photo: Star
While this shift has unlocked substantial productivity gains for experienced marketers, it has also had a devastating effect on junior hiring. When a single professional can accomplish twice as much in half the time, companies no longer need as many junior assistants to conduct background research, compile spreadsheets or write first drafts.
Afrin notes that across the technology and digital marketing sectors, teams that once employed ten marketing staff members are frequently being reduced to five. Whether driven by AI adoption, falling revenues or corporate cost-cutting, the reality is that businesses simply need fewer people to produce the same volume of work. For beginners who previously gained experience by supporting senior managers with basic tasks, the door to entry has been firmly shut.
This corporate downsizingis not confined to businesses abroad; local business leaders in Bangladesh are adopting the same strategy.
According to PwC’s 29th CEO Survey (Bangladesh edition), more than a third of local chief executives expect AI to directly eliminate junior-level roles within their companies over the next three years, while three in ten CEOs anticipate cuts at the mid-level. The primary motivation is financial: more than a quarter of surveyed Bangladeshi executives reported that adopting AI had already reduced their operational costs.
When small and medium-sized business owners in North America and Europe apply this same cost-cutting approach to freelance platforms, junior workers in South Asia feel the pressure immediately. Instead of paying a beginner freelancer five or ten dollars an hour to format a database or crop an image, overseas clients can use their own software subscriptions to handle these tasks in-house.
The freelancer’s catch-22
To make a living as a freelancer, you face a classic catch-22: clients will not hire you unless you have good ratings on your profile, but you cannot get good ratings unless someone hires you first.
For years, beginners solved this problem through a simple strategy. They took on very easy, low-paying micro-tasks, such as managing data in an Excel spreadsheet or transcribing audio files. It was poorly paid work, but the purpose was never to make them rich. Instead, it was to earn ten or twenty quick five-star reviews. Once the platform’s algorithm recognised that a new profile was reliable, the freelancer could start bidding on better, higher-paying jobs.
As AI increasingly automates routine tasks, companies can assign work previously handled by several junior employees to a single experienced professional, reducing opportunities for fresh graduates. Photo: Collected
Today, that stepping stone is disappearing. When small business owners in the United States or Europe can paste a messy spreadsheet into ChatGPT or Claude and have it organised in thirty seconds, they are less likely to post those beginner-level gigs in the first place. To make matters worse, platforms such as Upwork require freelancers to spend real money on digital tokens called ‘Connects’ just to submit job applications. Because fewer simple tasks are available, hundreds of desperate beginners end up bidding on the same limited number of listings.
The irony of AI detectors
This corporate calculation hits fresh university graduates with immediate force. In a country where formal white-collar employment is scarce, freelance content writing and digital marketing have long served as importantort themselves
Adiba Tuba, a graduate and freelance content writer, has witnessed this contraction first-hand. She points out that the fundamental staffing equation for entry-level work has changed. At the same time, beginners face another unfair technological hurdle: automated AI detection tools. Tuba explains that even when young writers compose entirely original articles based on their own ideas, imperfect algorithmic detectors frequently flag their work as AI-generated simply because of standard sentence structures or common vocabulary. Junior writers find themselves in an impossible position: clients demand that they use AI for efficiency, yet penalise them when automated checkers suspect algorithmic assistance.
Tuba emphasises that when corporate managers prioritise cost-effectiveness over creative nuance, beginners lose out entirely. Companies now seek human creativity at an automated pace, resulting in graduates being thrust into an increasingly aggressive competition over who can write the most effective prompts and manipulate AI models most successfully. In a developing economy already burdened by severe job scarcity, the loss of these flexible <a s freelance workforce remains heavily concentrated in routine tasks while lagging far behind in advanced disciplines such as machine learning and programming. That deficit has reportedly contributed to Bangladesh slipping to 29th place in global freelancing rankings.
For many female freelancers in Bangladesh, however, keeping up with this technological race is an uphill struggle. Learning advanced AI workflows can require computers with high-end dedicated graphics cards, costing well over Tk 100,000, as well as monthly subscriptions paid in foreign currency. Many young women do not have access to dual-currency bank cards, and families are often hesitant to invest substantial household funds in a woman’s home-based freelancing work. Afrin emphasises that staying relevant in today’s market demands rapid adaptation, sophisticated prompt engineering and the financial ability to afford paid software tools. For her own work, she relies heavily on Claude, an advanced AI model that offers paid monthly subscriptions. The quality of the final output depends heavily on how well the user writes prompts and structures instructions. As Afrin warns, anyone who fails to keep pace with these rapidly changing tools risks being pushed out of the industry entirely.
Time is an equally difficult hurdle. While male freelancers may have greater opportunities to spend entire days uninterrupted in co-working spaces or private rooms learning to code and experimenting with new software, female freelancers often have to fit their professional work around cooking, childcare and other household responsibilities.
ImageProtecting Bangladeshi women’s participation in the digital economy requires an urgent overhaul of national skills development strategies, with greater attention to AI literacy, accessible training and the barriers faced by female workers.
The convergence of global hiring freezes, local corporate downsizing and the lived experiences of female freelancers reveals a growing crisis across Bangladesh’s digital economy. The traditional apprenticeship model of freelancing, in which a novice could begin with simple, low-risk gigs and gradually build the experience needed for higher-paying work, has been undermined at its very foundation. Despite this shift, many public development initiatives and non-profit training programmes for women continue to teach increasingly outdated skills, such as basic typing, manual data entry and the creation of simple Canva templates.
If Bangladesh is to protect women’s economic participation in the digital age, national skills development strategies must be overhauled immediately. Training programmes must move beyond basic computer literacy to include AI workflow integration, prompt design and practical software orchestration, while also recognising and valuing specialised, hands-on human craftsmanship that algorithms cannot easily replace.
Adrin Sarwaris a Sub editor at Slow Reads.
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