High Cost of Producing TV and Movies: AI Unlikely to Make Financial Impact
(a Paramount subsidiary), explained that when some of the streamers came online, they overpaid for projects to win in competitive bidding situations. This resulted in them sometimes paying 10 times the amount they could have paid to win the project.
“When a single episode of series like Lord of the Rings, Citadel, and Stranger Things started costing more than many feature films, someone should have pumped the brakes, called for a time out and reassessed whether these costs could ever deliver a [return-on-investment] that justified them,” Rosenberg said. For example, one episode of Stranger Things cost $30 million, The Wall Street Journal reported in 2022.
Yet, streaming giants like Apple keep pouring money into content knowing they could still “lose” the battle. According to a recent report from The Information, Apple has lost more than $1 billion per year by spending over $5 billion on streaming since its 2019 launch.
How AI helps film and television production, up to a point
AI has already made its mark on the television and film industry—and even indirectly received a few Oscar nominations this year. Emilia Perez and The Brutalist both used AI to alter voices, and Adrian Brody won the Academy Award for best actor even though AI perfected his Hungarian accent. The tech has also been used to reverse-age Tom Hanks and Harrison Ford, according to a BBC report.
Although AI can be used for visual and audio effects in television and film, the technology is still limited, Turner said.
“We are a ways off from AI fully replacing feature-length films,” she said.
Meanwhile, the use of AI in film and television production has been a contentious issue recently, with more than 11,000 Hollywood film and TV screenwriters going on strike in 2023 against the use of the technology in their industry.
Rosenberg emphasizes that at this point, AI is still just another tool that’s used for developing content—like CGI.
“The industry is counting on the promise of efficiencies from AI streamlining workflows and automating labor-intensive tasks, but they haven’t yet generated proofs of concept that would cause everyone to dive in,” he said.
