AI Winter refers to periods in the history of artificial intelligence characterized by diminished funding, decreased research activity, and waning public and industrial interest. These downturns typically follow overly ambitious expectations that lead to setbacks. During AI Winters, progress stalls, skepticism grows, and investment declines, until advancements or new breakthroughs reignite enthusiasm and renewed focus in AI development.