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This leap in efficiency and capacity significantly reduces the cost per token (or per operation), exponentially increasing the economic value generated. An example is CodeX, OpenAI's coding assistant, which evolved from simple snippets to handling hours of work with near-engineer-level proficiency. Future iterations could manage entire projects or knowledge-based tasks spanning days, vastly expanding what AI can accomplish in workforce automation, creative industries, and scientific research.
This trajectory indicates a demand spike rather than a bubble—more users and industries eager to leverage AI's capabilities will continue to fuel investment and progress, especially if supply (measured in compute and model sophistication) keeps pace with demand.