Nate B Jones discusses the narrative that AI is in a bubble, driven by factors like GPT-5's disappointing rollout, Meta layoffs, Sam Altman's bubble admission, and studies showing AI project failures. He argues this narrative overlooks key facts: chatbot use case saturation, progress in complex agentic applications, exponential performance gains, chip shortages, and corporate refocusing. Jones suggests the AI landscape demonstrates real value, power-law dynamics, and strategic capital allocation, indicating a frothy market with disproportionate returns rather than a bubble, with model makers showing exponential gains while businesses are very early in seeing how that lands.
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