AI Winter

AI winter refers to recurring periods in the history of artificial intelligence research and development characterized by a drastic reduction in funding and a general decline in interest in the technology. This phenomenon typically occurs when excessive expectations (hype) fail to meet the technology's current performance capabilities, resulting in disappointment and the withdrawal of investments from both government and corporate sectors. Such periods slow immediate development, but in the long term serve to clarify research directions and bring more sustainable, theoretically grounded approaches to the forefront.