TLDR: ITV Chief Executive Dame Carolyn McCall announced that generative AI is being utilized in the casting process for shows like Love Island. This AI tool efficiently edits hundreds of hours of audition footage into highlight reels, significantly improving the speed and quality of the casting process and allowing the team to focus on other tasks.
ITV, a major broadcaster, has embraced artificial intelligence to streamline its operations, particularly in the demanding casting process for popular reality shows such as Love Island. Dame Carolyn McCall, ITV’s chief executive, revealed during the company’s half-year results announcement on July 24, 2025, that AI is being employed to enhance efficiency across various aspects of the broadcaster’s work. McCall stated, “We will use AI in any way we can to make what we do more efficient.”
A prime example of this integration is the use of a “smart editing tool” by ITV Studios for Love Island’s casting this year. This tool, which includes software like Quickture alongside Adobe editing programs, is crucial in managing the immense volume of applications. Each series of Love Island, which celebrated its 10th anniversary this year after debuting in 2015, attracts approximately 100,000 applications from the public.
The AI-powered system does not make casting decisions but rather assists by condensing thousands of hours of audition footage into manageable highlight reels. This allows the casting team to review prospective Islanders more efficiently and share concise reels with the ITV commissioning team to support their decisions. An ITV spokesperson clarified that the generative AI “simply assists with the editing of audition tapes during the casting period.”
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This technological adoption provides a significant productivity boost, freeing up the casting team to dedicate more time to researching and discovering additional potential contestants. McCall highlighted that this efficiency gain is “really, really good” for the team. The move is also part of ITV’s broader strategy to intensify cost-cutting measures, with an additional £15 million being cut on top of a previously announced £30 million, and content expenditure being reduced.
