As communication systems evolve and grow more complex, AI powered joint sensing and communication networks will become a standard feature in future 6G and WLAN systems. By incorporating generative AI, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), we significantly enhance the performance of advanced wireless sensing and ISAC by generating synthetic training data, bolstering signal processing capabilities, and compensating for noise and missing data, all of which are critical for future intelligent heterogeneous 6G networks (3GPP).