At the 2026 Inclusion・Bund Summit, the Insight Forum on 'New Paradigms of AI-Driven Economic Growth and Social Value Reconstruction' convened, drawing together academics, industry pioneers, and Nobel Prize winners. Their focus: how can AI evolve from a mere technological innovation into a robust and sustainable force driving the broader economy? The forum delved into four pivotal themes: First, while the AI economy is already underway, there's debate over how to measure its impact on macroeconomic growth. It may currently be experiencing the 'Solow Paradox' or 'J-Curve Effect.' If speculative bubbles can propel physical capital accumulation past a critical point, a stable state of high output could be reached. Second, AI advancement must transition from depending on capital investment to generating fresh demand, achieving market viability by broadening transaction scopes and unlocking new value chains. Third, AI is poised to exert long-term deflationary forces, as its takeover of high-earning white-collar roles reduces career opportunities for the younger generation. Thoughtful institutional frameworks are essential to protect workers' worth and prevent a repeat of the 'Engels' Pause.' Fourth, the AI economy has sparked a model of 'inherent globalization.' China has showcased new competitive edges in sectors like open-source large-scale models and AI-powered pharmaceutical research, yet it also faces the need to set up a global compliance framework and foster an economic and trade environment marked by mutual rivalry and collaboration. The forum underscored that AI's true worth must be gauged through tangible macroeconomic progress and the tangible benefits experienced by the workforce.