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The process wall / Video & motion

Video & motion / From the wall · 17 July 2025 event · prepared 16 September 2026

Netflix told investors a generative shot reached the screen

Netflix's co-CEO said its in-house VFX group used generative AI to finish a building-collapse shot in El Eternauta ten times faster.

Visual for this record: Netflix told investors a generative shot reached the screen
Visual published by g.foolcdn.com, shown for identification of the record. Credit: g.foolcdn.com · source page ↗ Rights: owner-review-pending.

The process wall

A building collapsing on camera is one of the more expensive ordinary requests a visual effects crew receives: previsualisation, simulation, rendering and compositing all have to agree before a shot is approved. For the Argentine series El Eternauta, a Buenos Aires building-collapse sequence hit that same wall, and Netflix told investors on its 17 July 2025 earnings interview that the studio's own effects group solved it with generative tools rather than the usual pipeline.

What the documents show

Netflix's Q2 2025 shareholder letter confirms the earnings interview was held on 17 July 2025 with co-CEOs Greg Peters and Ted Sarandos among the participants; the letter itself does not describe the shot. In the interview, recorded in a published transcript, Sarandos answered a question on generative AI by describing iLine, which he called 'our production innovation group inside of our VFX house at Scanline,' as having used AI-powered tools to complete the Buenos Aires collapse '10 times faster' than traditional visual effects work, and said it was 'the very first GenAI final footage to appear on screen in a Netflix original series or film.'

Authorship and limitation

The claim is specifically about finished, on-screen pixels, not concept art or previs, which is the distinction Sarandos draws by calling it 'final footage.' The mechanism named is Netflix's own in-house pipeline, iLine, working inside Scanline, the visual effects house Netflix owns, rather than an outside vendor or a general-purpose public tool. Neither the letter nor the transcript names the individual artists who worked the shot, describes the underlying model, or states what material trained it, and both are investor communications aimed at demonstrating cost and speed efficiency to shareholders rather than a production credit or a technical breakdown.

What survives

What survives, on this record, is a company's own claim of a speed and cost result and a labelled milestone, not an independently verified shot analysis. Editorially, 'ten times faster' and 'first' are figures worth holding against any later account from the production itself, since an earnings interview is written to reassure investors rather than to document a craft process.

  • Look for a separate account from El Eternauta's own production or VFX credits describing the same sequence.
  • Ask whether 'final footage' has been defined anywhere as excluding any manual compositing or clean-up pass.
  • Treat the speed and cost figures as a company's investor-facing claim until a production-side source corroborates them.

The interview establishes that Netflix is willing to name a specific show and shot in public rather than speak only in general terms about AI adoption, which is itself notable, even where the technical detail behind the claim remains with the company.

Sources & reading trail

Netflix Q2 2025 Shareholder Letter ↗

Confirms the date, format and participants of the July 17, 2025 earnings interview referenced in the transcript.

Source published: 17 July 2025 · Retrieved: 16 September 2026

Netflix (NFLX) Q2 2025 Earnings Call Transcript ↗

Records co-CEO Ted Sarandos's remarks naming iLine, Scanline, El Eternauta and the '10 times faster' and 'first GenAI final footage' claims.

Source published: 17 July 2025 · Retrieved: 16 September 2026

Papers, documentation, rulings and the makers' own records establish the note; the authorship reading and what-survives are Creative AI editorial analysis. This retrospective draft does not imply the site published on the event date.