Generic discussion of network effects, AI, and Metcalfe's Law in a House Oversight document

Generic discussion of network effects, AI, and Metcalfe's Law in a House Oversight document The passage provides a broad, theoretical overview of network effects and AI without naming specific individuals, transactions, dates, or alleged misconduct. It lacks actionable leads, concrete allegations, or novel revelations about powerful actors, making it low-value for investigative follow‑up. Key insights: Describes how Google’s TensorFlow AI platform benefits from network effects.; Explains Metcalfe’s Law and its "flip side" regarding exclusion costs.; Cites academic work by Rahul Tongia and Ernest J. Wilson III.