Alphabet, Meta and Amazon are using AI to integrate media, recommendations, creative, customer service and checkout into commercial exchanges they control, extending their influence over customer decisions and the evidence marketers use to judge performance. The cost of this ambition exceeded approximately US$129 billion in capital investment during the quarter. Alphabet fell into negative quarterly free cash flow, Amazon’s trailing 12-month free cash flow swung into deficit, and Meta emerged with just US$784 million. Each company approaches the contest from a unique perspective: Alphabet's Google knows what people ask, Meta knows what grabs attention, and Amazon knows what they buy. AI is helping each turn these signals into commercial systems that recommend products, select advertising and increasingly complete sales. Their strategies are converging as AI predicts which advertisements will land, decides who sees them, places them at the right moment and generates the creative, tightening the link between media spending and sales. Advertising is also entering conversations, allowing platforms to control and measure nearly every step from question to transaction. Google begins with expressed intent from searches and nearby queries; Meta reads signals from content, relationships and engagement on social platforms; Amazon connects product searches, prices, advertising, purchases and delivery within its own system. For marketers, these differences make the platforms distinct, with Google strongest when a consumer declares a need, Meta able to detect or create demand before a search, and Amazon closest to the cash register, seeing whether a recommendation ended in an order.