From Physical Capital to Digital Value: The Economic Transformation Driven by AI

Abstract

Artificial intelligence is changing how economies create value. Older growth models placed factories, machines, and transport systems at the center of production. AI shifts attention toward data, software, algorithms, cloud infrastructure, and organizational learning. This paper explains the move from physical capital to digital value. It uses a theoretical lens, supported by published experiments and public data. The main claim is simple. AI does not remove the need for physical capital. It changes how physical assets are used, measured, and rewarded. Digital value grows through prediction, automation, personalization, and scale. These features can raise productivity and open new markets. They can also concentrate gains in firms that control data, compute, talent, and platforms. Evidence from writing, coding, consulting, and customer support studies shows strong task-level gains from generative AI. Public data also shows rising AI investment, fast firm adoption, and growing electricity needs for data centers. These results show that AI value is both digital and material. The paper argues that national gains depend on complementary investment. Skills, competition, infrastructure, trust, and measurement systems shape outcomes. The paper concludes that AI will reward economies that treat digital assets as productive capital. It will also test policy systems built for a factory-based economy. A fair AI economy needs broader access to data, tools, training, and digital infrastructure.