The potential for an AI market correction and the path toward Artificial General Intelligence (AGI) hinge on the widening gap between peak model capabilities and reliable, autonomous business utility. Current market volatility represents a temporary pullback rather than the severe, panic-driven correction expected when investors fully realize the limitations of current "centaur" workflows. Despite political scrutiny over data center energy demands and potential government intervention, the fundamental economic value of intelligence continues to drive massive infrastructure investment. AGI development is accelerating, with 2028 emerging as the likely modal year, fueled by breakthroughs in metacognition and an industry-wide shift toward continual learning. John-Clark Levin, Head of Research at Kurzweil Technologies, notes that while current inference is profitable, the ongoing capital expenditure is a strategic, high-stakes investment in the $30 trillion addressable market that AGI will eventually unlock.
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