Why Darren Aronofsky thought an AI-generated historical docudrama was a good idea

2026-02-06 · Source: AI - Ars Technica · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Intermediate, quick

Summary

The historical series "On This Day… 1776," produced by Darren Aronofsky's company, utilizes AI-powered tools primarily for video generation, not for scriptwriting, voice acting, or post-production. The script was penned by human writers Ari Handel and Lucas Sussman, and all dialogue is recorded by Screen Actors Guild voice actors. Human teams are also responsible for music, editing, sound mixing, visual effects, and color correction. The AI's role involves generating individual video shots based on human-created storyboards, visual references, and shot specifications, which are then assembled and refined by human editors in post-production. This approach counters criticisms of "ChatGPT-sounding sloganeering," emphasizing a human-centric creative process augmented by AI for visual production.

Key takeaway

For Computer Vision Engineers developing content pipelines, recognize that AI's current strength lies in generating visual elements from well-defined human inputs, not in replacing creative writing or professional voice acting. You should focus on integrating AI as a tool for visual production, ensuring human oversight for script quality, performance, and final editing to achieve professional-grade output.

Key insights

AI in "On This Day… 1776" augments human creativity in video generation, not core storytelling or performance.

Principles

• Human-written scripts maintain quality.
• AI voices lack professional production quality.

Method

Humans create storyboards, visual references, and shot setups; this input, with the script, feeds an AI video generator for individual shots, which are then human-edited.

In practice

• Use AI for visual generation from human inputs.
• Prioritize human voice actors for dialogue.

Topics

• AI Video Generation
• Human-AI Collaboration
• Digital Media Production
• AI in Filmmaking

Best for: Computer Vision Engineer, Creative Technologist, AI Product Manager, Tech Journalist

Related on AIssential

• How AI Is Transforming Video and Motion Graphics Creation — AI is shifting creative production from sequential tasks to iterative generation, enabling rapid content variant creation.
• Jokes aside this just looks and sounds way too well done — AI video generation is achieving high realism, but subtle artifacts still distinguish it from human-made content.
• Knowledge-Intensive Video Generation — Knowledge-intensive video generation requires new benchmarks and metrics to evaluate factuality and practical usefulness.
• AI-generated actors and scripts are now ineligible for Oscars — The Oscars will exclude AI-generated performances and scripts to uphold human creativity, sparking debate on AI's role in film.
• Hollywood shouldn't fear AI — Generative AI enhances filmmaking efficiency and creativity by automating visual effects, not replacing human artists.
• Can you *really* train AI to "get" videos just by showing it a million of them? — Current video models excel at generation but lack systematic evaluation for genuine spatiotemporal reasoning.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by AI - Ars Technica.