During the 1970s, artificial intelligence faced a significant period of reduced funding and interest, known as the ‘AI winter.’ This downturn was primarily due to unmet expectations and the realization that early AI systems could not perform as promised. Despite this setback, research continued in smaller circles, setting the stage for later breakthroughs. The AI winter is a reminder of the cyclical nature of technological enthusiasm and the importance of realistic goal-setting in research.