Global AI Disruption, Local Impact: Opportunities and Risks for Bangladesh's Youth Freelancers in 2025
Generative AI is reshaping global markets for creative and knowledge work, with immediate consequences for youth freelancers in the Global South. This paper examines how worldwide AI disruption is transmitting to Bangladesh’s freelance creative economy in 2025. Using entirely secondary research, we synthesize peer-reviewed studies, platform analytics, policy documents, and industry reports (2019–2025) and develop sectoral case vignettes (design, content, video, digital marketing, web/dev). We map Bangladesh’s freelancer landscape, identify tasks most exposed to automation, and contrast these with emerging AI-complementary roles (e.g., AI operations, human-in-the-loop editing, data services). Descriptive comparisons and a simple employment scenario model (2025–2030) indicate: (i) contraction in routine postings for writing/coding/image work alongside growth in AI-adjacent gigs; (ii) price compression for commodity tasks, with rising returns to higher-skill, client-facing work; (iii) material heterogeneity across divisions in infrastructure readiness; and (iv) persistent gender gaps in participation and median earnings. We also show, with a benchmarked pricing framework, that AI-augmented service packages can deliver substantially faster turnaround and higher margins without raising prices, strengthening a transition path from task substitution to task complementarity. Policy analysis situates these findings within technology-policy and youth-studies lenses, proposing a near-term roadmap: enable cross-border payments; scale AI-literate upskilling and HE curriculum reform; invest in data/compute access and rural connectivity; codify ethical, human-in-the-loop standards for client work; and pilot portable social protection for gig workers. The paper contributes an integrated evidence base, visual analytics, and a practical strategy for converting global AI shocks into inclusive opportunity for Bangladesh’s youth freelancers.
Institutions
- Hohai University (CN)
- Daffodil International University (BD)
- Beihai People's Hospital (CN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-22
- DOI
- https://doi.org/10.5281/zenodo.16928774
- Primary Topic
- Theoretical and Computational Physics
- Type
- article
- Field-Weighted Citation Impact
- 0.00