Artificial intelligence is frequently examined as a productivity instrument, automation mechanism, or decision-support technology. Prevailing scholarship concentrates on organisational adoption, workforce augmentation, and operational efficiency within conventional institutional frameworks. This conceptual paper advances an alternative perspective: artificial intelligence as a persistent infrastructure layer capable of supporting analysis, generation, coordination, simulation, and execution across diverse economic workflows. Drawing upon systems theory, organisational economics, cognitive science, and digital entrepreneurship literature, the study proposes a novel architectural framework explaining how AI may reduce coordination costs and expand individual productive capacity beyond traditional organisational boundaries. Five original conceptual contributions are developed: • Human Leverage Architecture• Operator Stack Framework• Sovereign Enterprise Architecture• Economic Unit Transformation Model• AI Infrastructure Paradigm The paper contends that AI increasingly functions as infrastructure rather than discrete software, thereby enabling new forms of economic participation through AI-augmented operators and sovereign enterprises. Implications for organisational design, digital entrepreneurship, future work systems, computational leverage, and emerging economic structures are explored. Presented as a conceptual foundation, this work intends to inform and support future empirical research on AI-enabled economic actors, leverage systems, and organisational transformation.
NABAL KISHORE PANDE (Mon,) studied this question.