Aiconomy

AI Winter

A period of reduced funding, interest, and progress in AI research, typically following a cycle of over-hyped expectations and subsequent disillusionment with the technology's capabilities.

Two major AI winters occurred: the first from 1974-1980 after early perceptron limitations were exposed, and the second from 1987-1993 after expert systems failed to meet expectations. Each winter saw dramatic funding cuts — DARPA reduced AI research budgets by over 80% during the first winter. The current AI boom, driven by deep learning breakthroughs since 2012, has lasted over a decade — the longest period of sustained AI progress. Some researchers warn that unmet expectations around AGI or generative AI profitability could trigger another downturn.

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