The article argues that Hollywood’s rapid embrace of Artificial Intelligence tools has resembled eating from an enticing tray of brownies without asking about the ingredients, with studios prioritizing immediate results over safety and accountability. In this analogy, the core concern is not how impressive the output looks, but whether it is safe to use and who is responsible when something goes wrong. The piece notes that when many in the industry adopted these tools, they often did so without clear answers on training data, consent or liability, creating a situation where the visual appeal of the technology masked uncertain legal foundations.
According to the article, the current landscape was shaped in 2025, when Hollywood flocked to Artificial Intelligence platforms built by companies that scraped content first, scaled as quickly as possible and effectively dared regulators, guilds and courts to keep pace. This “land grab” allowed big technology firms to win an initial speed contest, leaving studios dependent on tools that may prove difficult to defend if challenged. As an example of how deeply this mindset has taken hold, the article points out that Disney proceeded with a deal involving Sora 2 even after the OpenAI company “behaved very, very badly,” highlighting how attractive capabilities have outweighed reputational and legal red flags.
In contrast, the article spotlights a quieter group of creators and companies building Artificial Intelligence tools with very different priorities, including figures like Jason Zada, Bryn Mooser, Tye Sheridan, Trey Parker, Natasha Lyonne and Matt Stone, who are described as putting creators first. These alternatives move more slowly, cost more and are less flashy in demos, but they are trained entirely on licensed data, designed to automate tedious production tasks without encroaching on authorship, and built to prevent unauthorized use of voices, faces and creative styles before it escalates into litigation. The author frames these eight recommended tools as part of a shift from Hollywood’s “junk-food” phase of Artificial Intelligence toward systems that are ethically coherent, legally defensible and intentionally crafted for long-term use rather than short-term spectacle.
