In E-commerce, AI could enhance the efficiency of supply chain management, reducing operational costs and benefitting the labor force. For instance, AI-driven predictive analytics can optimize inventory management, minimizing overstock or stockouts. This efficiency improvement can positively impact the ratio of household income to GDP by contributing to overall economic growth and potentially leading to increased wages in the sector. However, there are potential downsides related to a "hidden tax" and tax brackets. As AI-driven optimizations may contribute to higher prices due to increased operational efficiency, consumers may experience a form of hidden tax through inflation, impacting their purchasing power. Simultaneously, businesses that benefit from revenue increases may find themselves in higher tax brackets, leading to increased tax liabilities. This complex interplay between AI, inflation, and taxation underscores the need for careful economic policies to ensure fair distribution of benefits and mitigate potential negative consequences on both consumers and businesses. with citation