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Predicting the AI-Driven Freelance Marketplace. A Case Study of Fiverr Gigs of Pakistan

Year: 2025
Type: article
Abstract: Artificial Intelligence (AI) affects worldwide economic performance because freelance marketplaces have become fundamental platforms to use AI innovations. This research examines AI effects on Pakistan's freelance market using Fiverr gigs while focusing on AI mobile application development, together with AI website/software development services. The selection of these categories occurred because clients increasingly needed them, while contemporary industries required more AI-powered solutions. The research gathers Fiverr gig information systematically to identify main patterns about service types and client patterns, and freelancer earnings in the AI domains. Second-degree polynomial regression analyzed with Ridge regularization methods generated predictions about income development during 24 months from April 2025 until March 2027. Data shows a robust non-linear pattern of growth, which demonstrates that AI-powered freelance services provide substantial income benefits to Pakistani skilled freelancers, thus making Pakistan a rising center for AI-based digital freelancers development. Along with analyses of system competition, skills difficulty, and market capacity saturation, the research suggests proven methods to address these factors. This research provides strategic guidance to freelancers, together with investors and policymakers, who intend to enhance Pakistan's position in the global freelance AI economy. Continuous skill development alongside enhanced infrastructure and supportive policy frameworks will enable the complete economic extraction of AI-driven freelance marketplaces, according to the research findings.
Authors: Sheraz Babar, Nasir Rashid, Muneeb Babar, Haseena Noureen, Kashif Khan
Language: English
Open Access status: hybrid
OpenAlex ID: W7083170322
FWCI: 1.796
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Cited by: 1
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