Where is the line between what is AI and Neural Network?

Lately, I’ve been working on solving some problems using AI, but I realized I’m still confused about the difference between traditional models like CNNs and more advanced AI systems like ChatGPT. Initially, I considered using a Convolutional Neural Network for an image-related task, since CNNs are known to be effective for image classification and recognition. However, I found that a more general AI model could also handle the task with little effort, which surprised me—especially because, with a CNN, I would typically need to collect data, design the architecture, and train the model myself. Now I’m wondering: how can models like ChatGPT—or similar multimodal AIs perform well on image tasks without going through the same training process I expected?