Generative AI can produce polished imagery in seconds. According to Guillermo del Toro, that speed is precisely the problem.
At a 2024 British Film Institute talk in London, del Toro delivered a verdict on AI-generated art that has since circulated widely: it can make “semi-compelling screensavers,” and “that’s essentially that.” His argument is a specific, technically grounded claim about where machine-generated work stops and human craft begins.
Fast to Average, Slow to Great
Del Toro’s Reddit AMA sharpened an argument he first made at the BFI: AI optimizes for the middle, and the extraordinary requires something else entirely.
During a September 9 AMA on Reddit’s r/movies, del Toro expanded on that position directly. “AI can get you to the middle really fast,” he said, “but there’s a dialectic with the process that gets you to that top 10%.”
His framing of the technology is precise. AI is, in his words, a “super-fast engine” producing semi-sentient permutations of things that already exist, which he contrasts with creation: things that have never existed, coming to exist through a process machines cannot replicate.
Eyes in the Hands: How the Pale Man Happened
The design of the Pale Man from “Pan’s Labyrinth” is del Toro’s clearest proof that the best creative decisions cannot be prompted into existence.
The Pale Man, the creature from Pan’s Labyrinth whose eye sockets sit empty while its eyes rest in its palms, did not arrive from a prompt. Del Toro explained, per IGN’s summary of the AMA, that the creature originally had a face.
Over weeks, two unrelated visual references converged in his mind: a photograph of a manta ray and a poster for Don Coscarelli’s horror film Phantasm. That slow triangulation led him to remove the face entirely and relocate the eyes to the hands.
“They are alchemy,” he said of such combinations, “not permutations that are chemically part of an equation.” The distinction matters: one is statistical recombination, and the other is something stranger and harder to produce on demand.
Accidents, Apprenticeship, and the Cost of Skipping the Hard Part
Del Toro argues that accidents, mentorship, and physical reality are not obstacles to great filmmaking; they are its raw materials.
Del Toro places accidents at the center of great filmmaking, not as errors to correct but as evidence of reality. He has said that roughly 30% of a great image occurs accidentally, citing a conversation with James Cameron during a screening of Terminator 2.
Del Toro recalls Cameron pointing out small lens flares in the shot where Robert Patrick breaks a car window. Those imperfections were deliberately added; audiences register such details as proof that what they are seeing is real, per IGN’s reporting of the AMA.
Christopher Nolan surfaces in the same argument. When del Toro asked Nolan how he filmed Matt Damon floating in stormy seas for The Odyssey, the answer was direct: “We put him in a storm in the ocean.”
Both filmmakers treat physical reality and its unpredictable outcomes as tools, not obstacles. His concern about AI extends beyond image quality to who gets trained, and how. “You’re never a master; you’re always an apprentice,” he said in the AMA.
A generation that skips the long, difficult accumulation of craft loses more than efficiency. It loses the lineage.
No Goddamn AI
Del Toro’s rejection of generative AI is not only philosophical; it shaped the production pipeline for the “Pan’s Labyrinth” anniversary re-release.
For the 20th-anniversary 3D and HDR re-release of Pan’s Labyrinth, del Toro converted the film by hand. He insisted on “absolutely no goddamn AI” in the process, according to Rolling Stone, and acknowledged the approach costs more.
His reasoning, delivered at the BFI, was unambiguous: “The value of art is not how much it costs and how little effort it requires, it’s how much would you risk to be in its presence?”
The AI tools being marketed across every creative pipeline promise efficiency. Efficiency and alchemy are not the same thing, and del Toro’s body of work makes a sustained case that confusing the two carries a cost no budget line can capture.
