Core Thesis - Uber Technologies, Inc. is exploring a new initiative to transform its Driver app into a platform for AI-related microtasks, which could create a new revenue stream while enhancing its data and AI capabilities [2][3][4] Financial Metrics - As of December 1st, Uber's share price was $86.57, with trailing and forward P/E ratios of 11.27 and 21.05 respectively [1] Initiative Overview - The new program allows drivers and couriers to perform small digital tasks, converting idle time into productive work, which aligns with Uber's marketplace strategy [2][3] - With approximately 8.8 million drivers completing around 33 million trips daily, even a small participation rate could generate millions of high-quality labeled data units [3] Revenue Potential - Although the current revenue impact is modest compared to Uber's $12 billion quarterly revenue, the unit economics of the initiative are attractive due to existing identity verification and anti-fraud systems [3][4] - If scaled, this "AI work layer" could provide a durable, counter-cyclical revenue source that monetizes downtime across Uber's driver network [4] Strategic Alignment - The initiative enhances Uber's data and AI capabilities, which could improve maps, autonomous vehicle safety, and product testing [3][4] - The concept aligns with Uber's brand of flexible work and operational efficiency, potentially creating a defensible data operations moat as autonomous technologies expand [4] Historical Context - A previous bullish thesis highlighted Uber's network effects, improving profitability, and expansion into autonomous vehicles, with the stock price appreciating approximately 14.49% since that coverage [5]