Rumors of a potential divorce between Aishwarya Rai Bachchan and Abhishek Bachchan have been circulating in the gossip circles for a while, causing concern among their fans. While Abhishek seems to be sticking close to his family, reports suggest that Aishwarya has distanced herself from the entire Bachchan clan. Amidst these speculations, a video featuring Abhishek Bachchan has surfaced, where he is allegedly seen talking about divorcing Aishwarya. This video has sent shockwaves through the film industry.

In the video, Abhishek reportedly says, “This July, Aishwarya and I have decided to get a divorce.” This statement, along with a mention of their daughter Aaradhya, has caused the video to go viral quickly. The video shows Abhishek speaking about the challenges in their relationship and the reasons behind their decision to part ways. Recently, Abhishek also liked a post about “grey divorce,” which further fueled the rumors of trouble in their marriage.

However, the authenticity of this video is highly questionable. Upon closer inspection, it becomes evident that the video is a deepfake. Abhishek’s lip-syncing in the video is noticeably off, with his words not matching his lip movements. The video appears to have been created using AI technology, and after watching it, many social media users have called it out as fake. Fans of Abhishek and Aishwarya have criticized those spreading such falsehoods, defending the couple and debunking the misleading content.

While some people may have been convinced by the video, it’s important to recognize the dangers of AI-generated deepfakes, especially when they are used to spread false information about public figures. As of now, both Abhishek and Aishwarya have remained silent on these rumors, and there is no official confirmation regarding any issues in their marriage.

This incident highlights the growing concern over the misuse of AI technology in creating fake news and videos, and the impact it can have on the lives of those targeted. It serves as a reminder to verify the authenticity of such content before believing or sharing it.

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