Abstract

The rapid advancement of digital transformation and Artificial Intelligence (AI) has triggered widespread anxiety about the future of work, primarily rooted in a Capital Economy (CE) logic of ‘Supply vs. Demand’ where human labour is valued for its efficiency and replaceability. This paper proposes a paradigm shift, arguing that the future of secure and thriving work lies in the principles of the Inspiration Economy (IE), defined by the formula ‘Capacity vs. Demand’. 
Through a qualitative conceptual analysis methodology, a robust framework is built for logically deriving and structuring the AI-resilient roles according to the type of economic formula. The research demonstrates that while AI excels at automating CE tasks (execution, routine analysis, and mass production), it simultaneously amplifies the value of intrinsically human capacities. We identify and analyse emerging task categories that are resilient to automation precisely because they leverage this new economic logic. The paper concludes that in the IE, career security is derived not from competing with AI on computational terms, but from expanding one's capacity to inspire, create with emotional resonance, and navigate ambiguity—thereby charting a human-centric path forward in the AI era. This means that the future work would belong to those who can define the terrain of the game itself, making human inspiration the bedrock of value in the 21st century.