Recent economic analyses from Goldman Sachs and Morgan Stanley suggest that artificial intelligence contributed nearly nothing to U.S. GDP growth last year. This stagnation occurs because heavy investments in data centers and chips often benefit foreign manufacturers in Asia rather than the domestic economy. While some observers label this a productivity paradox, experts argue that transformative general-purpose technologies typically require significant implementation lags before their benefits appear in official statistics. Current measurement challenges also fail to capture intangible capital and micro-level efficiency gains, such as faster coding and improved medical diagnostics. Despite these statistical blind spots, proponents remain optimistic that AI infrastructure will eventually create a massive wave of economic resilience and innovation. Therefore, the current lack of measurable output may simply be the quiet groundwork necessary for a future societal transformation.