In the current state of the U.S. stock market, the economic benefits from artificial intelligence (AI) are predominantly seen in the companies that produce AI technologies and their components. For instance, Nvidia, a manufacturer of chips essential for AI, has experienced an astounding over 600% increase in its market value over the past three years. Meanwhile, tech giants like Amazon, Google, Microsoft, and Apple, which provide cloud storage and AI models, still remain at the forefront but have not witnessed as dramatic growth in comparison to Nvidia.

Despite the rise of AI, its full economic effects have not yet translated to the broader financial performance of other sectors. Samuel Pessôa, a columnist for Folha and researcher at FGV and BTG Pactual, highlighted that the productive influence of computers took decades to manifest in aggregate productivity statistics. This suggests that while AI technologies are making strides in specific sectors, their overarching contribution to national economic metrics such as GDP remains minimal.

The observations echo the sentiments of Nobel Laureate Robert Solow, who remarked in 1987 about the visibility of computers yet their absence in statistical representation of productivity growth. This trend indicates a potential lag before the broad economic benefits of AI are fully recognized and quantified, underscoring the complexity of attributing technological advancements to economic metrics.