Big Tech companies are undergoing a fundamental shift from high-margin, low-capital software businesses to capital-intensive, manufacturing-like models driven by massive AI infrastructure investments. This transition complicates traditional valuation metrics, as companies like Meta, Amazon, and Google report earnings heavily influenced by unrealized gains in AI startups like OpenAI and Anthropic. These hyperscalers face a potential demand crisis, as they currently rely on intra-company revenue—essentially selling compute to the very AI labs they fund—rather than end-user demand. Professor Aswath Damodaran highlights that this lack of transparency regarding business models and unit economics creates significant market uncertainty. While these companies possess manageable debt levels, the current "field of dreams" investment strategy risks a major correction if the AI market fails to scale beyond the current architecture-building phase.
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