Darren Aronofsky’s production company, Primordial Soup, presented On This Day… 1776 as an experiment: a way to use generative AI video to dramatize Revolutionary-era moments that would be hard to stage on location for the same money. The distributor, TIME Studios, framed the series as artist-led use of AI. The most detailed explanation of the team’s motives comes from an anonymous production source quoted by Ars Technica, not from Aronofsky on the record. Read the stated reasons as the producers’ framing, with the cost argument still unverified.
What the project is
On This Day… 1776 is a short-form historical series produced by Primordial Soup and distributed by TIME Studios. TIME announced weekly releases on its YouTube channel throughout 2026, with episodes timed to the 250th anniversaries of the 1776 events they depict. The first episodes cover the raising of the Grand Union Flag on Prospect Hill and Benjamin Franklin encouraging Thomas Paine to write Common Sense.
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TIME says the stories are grounded in historical records and present the Revolution as a fragile experiment shaped by the people who lived through it. The announced schedule runs through 2026, so check the channel for which episodes are currently available.
Why the team tried it
The public record contains four separate lines of reasoning. They come from different speakers and carry different weight.
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A distributor’s framing: artist-led AI
TIME Studios President Ben Bitonti described the series as “a glimpse at what thoughtful, creative, artist-led use of AI can look like—not replacing craft but expanding what’s possible and allowing storytellers to go places they simply couldn’t before.” This is the distributor’s executive rationale, not a statement by Aronofsky.
A production source: testing tools on a story
An anonymous production source told Ars Technica that the team wanted to test new tools, learn what worked, and use the tools available to get stories across and make audiences feel something. The source said, “It’s a huge experiment, really,” and added: “So, you know, we have the tools now. Let’s see what we can do.” Because the source is anonymous, these lines should not be attributed to Aronofsky or to any named staff member.
Rank #2
A cost argument with no published numbers
The same source said the production could not achieve the same historical recreation for the same amount of money through conventional location filmmaking. Ars Technica could not obtain a budget or savings figure, and no published figure has surfaced in coverage of the series. Treat the claim as a qualitative statement from one participant.
A precedent: Ancestra
Primordial Soup had already explored a hybrid form with Ancestra, a short film directed by Eliza McNitt that combined live-action performance and generative visuals in partnership with Google DeepMind. Tribeca described it as the first of a planned series of three shorts exploring AI’s role in filmmaking (Tribeca Festival, 2025). A Google I/O event page described a conversation between Aronofsky and Google DeepMind CEO Demis Hassabis as being about “how artificial intelligence is expanding creative frontiers for storytellers.” That is event-page wording, not a quotation from either speaker.
Rank #3
- Theirs was one of the greatest partnerships in American history.When John Adams and Abigail Smith married on October 25, 1764, they shared an ambitious vision for the new nation. Adams, the Harvard educated lawyer who once worried that he might never make his mark on history, was one of the key players in the bid for American independence. His work in the first Continental Congress was in many way
This earlier project explains the company’s interest in artist-led AI filmmaking. It does not show that On This Day… 1776 used the same workflow or the same partner arrangement.
How the episodes were made
TIME says artists used generative AI tools to animate the series, with performances voiced by SAG actors, an original score by Jordan Dykstra, and human post-production for editing, mixing, and color grading. Ars Technica’s source adds the production sequence:
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- Scripts. Writers prepared the scripts. Ars says the writing was led by Lucas Sussman, with Ari Handel and Sussman overseeing the effort.
- Storyboards and references. Staff storyboarded the scenes and gathered visual references for locations and characters.
- Shot-by-shot generation. The script and shot direction were fed into an AI video generator one shot at a time.
- Review and assembly. Editors and other post-production staff assembled and refined the generated footage into episodes.
| Stage | Who or what did it, per reporting | Source |
|---|---|---|
| Scripts | Writing team led by Lucas Sussman; Ari Handel and Sussman oversaw the effort | Ars Technica |
| Storyboards and visual references | Production staff | Ars Technica |
| Shot generation | AI video generator, one shot at a time, from script and shot direction | Ars Technica; TIME |
| Voice performance | SAG actors | TIME |
| Original score | Jordan Dykstra | TIME |
| Editing, mixing, color grading | Human post-production | TIME; Ars Technica |
Neither account says AI wrote the scripts or performed the voices. Ars describes the model’s role as visual generation, and the human credits cover writing, performance, music and finishing.
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Ars Technica’s source said generating and refining a few minutes of video took weeks, with frequent deadline pressure. The model rarely produced a screen-ready shot on the first attempt, so artists often regenerated clips to improve details such as lighting and emotional focus. The source compared the work to live-action filmmaking because control over individual shots remained difficult.
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The source named hallucinations and continuity as the main technical problems. Short episodes were easier to keep visually consistent than a feature-length production, because a shorter shot leaves less room for something to go wrong across a long continuous clip. That is the practical reason the format suits this method, and it is one reason the series was built from short episodes rather than a film.
How the workflow compares with conventional production
The reporting gives direct figures only for the AI workflow. Where it makes no comparison, the table says so.
| Axis | AI workflow, as described for this series | Conventional historical production |
|---|---|---|
| Cost | Described as cheaper for the same recreation, by one production source; no figure published | Source says it could not match the same recreation for the same money on location; no figure (Ars Technica) |
| Shot-level control | Difficult; clips often regenerated to fix lighting and emotional focus | Not stated; the source used live-action filmmaking as the reference point (Ars Technica) |
| Iteration time | Weeks to generate and refine a few minutes of video | Not stated |
| Continuity across shot length | Shorter shots easier to keep consistent; hallucinations and continuity cited as problems | Not stated |
| Human labor retained | Writers, storyboard and reference staff, voice actors, composer, editors (TIME; Ars Technica) | Not stated |
| Suitability by length | Short episodes easier to keep consistent than a feature-length production (Ars Technica) | Not stated |
Reception and open questions
Ars Technica summarized early negative reviews that criticized the visuals and writing of the first episodes. These are initial reactions to the opening episodes, not an assessment of the full series.
Two points remain unresolved in public reporting. First, TIME’s announcement says the series was made in part with Google DeepMind AI, while Ars Technica’s anonymous source says DeepMind was not involved in this project. The Ancestra partnership is documented separately, but the two accounts of this series conflict, and this article does not settle that. Second, no production budget, viewership total, or audience-response figure has been published, so claims about the series’ cost or success remain unverified.
Taken together, the stated reasons are plausible but come mostly from the distributor’s framing and one anonymous production source. The creative experiment is documented; the economic case is not.
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