Before reading any labβs position across the different scaling laws, one calibration point matters: the frontier in April 2026 is the most compressed it has ever been. The pace is not slowing. The old framing of a two-horse race no longer reflects reality.
GPT β as explored in the intelligence factory race between AI labs β -5.4, Gemini 3.1 Pro, Claude Opus 4.6, and Muse Spark, all within a few benchmark points of each other in general capability. The differentiation is no longer primarily at the capability level β it is in which paradigms each lab has mastered and which strategic moats those paradigms build.
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Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur, HackerNoon and Search Engine People. Find him on LinkedIn and Substack. See how we source.
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