Amazon's House of David Season 2 had 350 to 400 AI-generated shots, up from 70+ in Season 1, using 10 to 15 tools from companies like Runway, drawing criticism
The show, which follows David's ascent to King of Israel, used four times as much AI this season, including for many of its battle scenes.
Context & Ripple Effects
Amazon’s production follows Netflix’s earlier first disclosed use of AI for a TV VFX sequence, where the stated rationale was making an otherwise costly effect feasible. It also aligns with Amazon MGM’s subsequent AI Studio plan to build production tools with AWS and LLM providers.
The jump from dozens of shots to several hundred makes this a workflow-scale deployment rather than a one-off effects experiment, while the criticism shows that visible use can carry a creative and audience-facing cost.
First-order effects
- Amazon and the show’s production teams must coordinate 10–15 AI tools across a far larger set of shots, particularly battle sequences, increasing the importance of integration and quality control.
- The expanded use puts House of David’s creative choices under greater scrutiny, as criticism becomes part of the release’s public reception.
Second-order effects
- Runway and the other tool providers gain a more substantive studio-use case, but their products must fit into multi-tool production pipelines rather than serve as standalone demonstrations.
- Competing streamers and studios have a clearer benchmark for expanding AI beyond isolated VFX work; Netflix later described generative AI use across roughly 300 titles, mostly in post-production.
Third-order effects
- If repeated across productions, AI adoption in film and television is likely to shift from individual-shot experimentation toward managed post-production systems that combine several specialized tools.
- The economic case for AI-assisted effects will increasingly be weighed against audience and creative backlash, making governance and disclosure choices a competitive part of production strategy rather than a purely technical decision.
The trend: Generative AI is moving from limited VFX tests into multi-tool, production-scale post-production workflows, with cost and speed benefits accompanied by heightened scrutiny over creative use.