While the digital-intelligent economy empowers green development by improving micro-level efficiency, it is also accompanied by a “Smart Paradox” arising from the expansion of computing power and the rebound effect in resource consumption. The key to resolving this paradox lies in reconstructing the relationship between the digital-intelligent economy and the green economy, placing the development of the former under the constraints of ecological carrying capacity, and promoting their deep integration. This study reveals the three manifestations and underlying causes of the “Smart Paradox,” namely the expansionary conflict of the accumulation regime, pricing failures in value accounting, and the lagged mismatch of institutional change. It also systematically clarifies the essential connotations of their convergent development. Theoretical analysis shows that the integration of the two depends on the synergistic effects of value reshaping, institutional innovation, and technological paradigm transformation. Specifically, by internalizing ecological costs, establishing dynamic and agile governance, and optimizing intelligence density per unit of energy consumption, digital-intelligent technologies can be guided away from computing-power stacking toward green and intensive development. Accordingly, this study constructs a stratified integration model encompassing micro-level lean governance, meso-level network symbiosis, and macro-level spatial adaptation. It further proposes policy recommendations, including establishing rigid constraint boundaries, implementing embedded regulation throughout the full life cycle, improving the relative factor price system, driving a paradigm leap toward green digital-intelligent technologies, and cultivating multi-level symbiotic ecosystems.