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The pursuit of Artificial General Intelligence (AGI) may require a fundamental shift in approach, argues a new analysis. The piece challenges the prevailing belief that simply scaling up existing AI models will lead to human-level intelligence. Drawing on experience from past AI downturns, the author suggests that focusing solely on performance metrics provides an incomplete picture and overlooks critical limitations inherent in the scalability paradigm. The analysis presents a rational case against the assumption that more of the same will ultimately deliver AGI. The discussion stems from a thought-provoking thread on Reddit and is further elaborated upon in the author’s insights on AI investment strategy, suggesting a need for innovation beyond simply increasing model size and computational power. For deeper insights, refer to the original article and related investment strategy available online.