As artificial general intelligence (AGI) moves from conceptual to practical reality in 2025, the economic frameworks underpinning AI development are undergoing a radical shift. Liran Zvibel's insights illuminate the critical transition into what he terms the fourth industrial revolution, where AI is not merely a technological breakthrough but a systemic economic transformation. The traditional metrics of AI success, focused on model scale, are being supplanted by the imperative for economic efficiency—redefining leadership in this trillion-dollar space.
Central to this new landscape is the rise of token-based economies, which provide the infrastructure to dramatically reduce operational costs, especially in GPU utilization, by up to 95%. This evolution in infrastructure addresses one of AI's most stubborn barriers: latency, which currently impedes real-world AI adoption. By re-engineering how computing resources are allocated and priced, token economies incentivize smarter resource management and unlock sustainable growth strategies.
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