Abstract
This paper traces the gig economy’s evolution from task-based platforms (Gig Economy 1.0/2.0) to today’s AI-enabled entrepreneurial era (Gig Economy 3.0). Drawing on platform analytics, policy briefs, and sector case studies, it examines five themes: historical context, global uptake, economic impact, AI-specific opportunities and risks, and future outlook.
Global gigpreneur numbers now exceed 1.5 billion, and U.S. participation is on track to top 90 million by 2028. Generative-AI tools are boosting productivity, spawning roles such as prompt engineering, and allowing gig workers to become micro-business owners across tech, creative, healthcare, and consulting markets. Yet the AI integration also accelerates displacement of routine gigs (e.g., a 30 % drop in entry-level writing jobs within eight months of ChatGPT’s launch), compresses wages for commoditised tasks, and deepens power asymmetries via opaque algorithms. The paper highlyights how the unequal AI adoption further risks widening North–South labour gaps, while the existing labour laws and safety nets lag behind these shifts. The paper reviews emerging responses—the EU Platform-Work Directive, U.S. contractor rules, and portable-benefit pilots—and calls for algorithmic transparency, inclusive digital infrastructure, and curricula that embed AI literacy and entrepreneurial finance.
Sustainable gigpreneurship, it concludes, will depend on aligning technological innovation with adaptive governance and robust platform accountability to protect worker agency and ensure fair value distribution.