
Periods of innovation in artificial intelligence (AI) often alternate with phases of disillusionment and funding cuts, known as “AI winters.” These cycles can profoundly affect technological advancement and investor sentiment. While looking back at the history of AI winters provides useful lessons, understanding contemporary challenges and possible futures is equally crucial. Such cycles illustrate a pattern of ambitious expectations that









