The legal and labor-related questions of artificial intelligence (AI) in media and entertainment are still to be decided, but there are many applications that studios can deploy now to boost revenue. For example, postproduction AI applications have the potential to deliver high value to studios without triggering legal or ethical trip wires. Similarly, AI tools can help media producers dramatically reduce risks and lower production costs, increasing the likelihood of market success.
AI is poised to change the world. The full extent of AI’s potential is unknown, but discussions are already high-pitched in the media and entertainment industry, where creative processes have never been easily automated or even quantified. With a fragmented value chain and many manual processes, movie studios and media production companies have yet to unlock the power of data.
The use of AI in the media and entertainment industry is currently a divisive issue. Nevertheless, it has the potential to create a paradigm shift in the industry. This Viewpoint demonstrates how AI can facilitate decision-making and improve processes across each part of the value chain without degrading the value of human creators.
Figure 1 shows the media production value chain (concept to distribution) with the adjacent — yet essential — processes of financing and marketing. Advancements in AI, machine learning (ML), and data science are primed to transform each step of this chain.
Note that data science is a broad, interdisciplinary field that draws from statistics and computer science and uses scientific methods, processes, and algorithms to generate insights from data (see Figure 2). There is overlap with the field of AI, but the terms are not interchangeable. AI involves harnessing computer algorithms to replicate human intelligence and decision-making processes by acquiring, interpreting, and comprehending data.
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