How AI-Assisted Pre-Visualization is Changing Filmmaking

Martin Scorsese, a director long associated with traditional cinematic craftsmanship, has become an adviser to the AI company Black Forest Labs.

VR
Victor Ren

June 26, 2026 · 3 min read

A director observing holographic AI-generated storyboards on a futuristic film set, symbolizing the integration of AI in pre-visualization.

Martin Scorsese, a director long associated with traditional cinematic craftsmanship, has become an adviser to the AI company Black Forest Labs. This collaboration involves Scorsese utilizing their technology to instantly generate storyboard images, marking a significant integration of artificial intelligence into high-profile film pre-production.

AI offers legendary directors unprecedented creative freedom and efficiency in pre-production. However, this advancement comes at the potential cost of human artists' livelihoods and raises ethical questions concerning the use of their past work for AI training.

Based on the rapid adoption by industry titans and the growing capabilities of AI tools, the role of human storyboard artists is likely to undergo significant transformation, requiring new models for collaboration and compensation to prevent widespread displacement.

The New Canvas: How AI is Reshaping Pre-Visualization

Martin Scorsese utilized AI to instantly create storyboard images, as reported by BBC. This capability allows directors to rapidly iterate on visual concepts, streamlining the initial creative phase. Such AI-assisted pre-visualization prioritizes speed and directorial vision, enabling filmmakers to quickly visualize complex scenes. This shift fundamentally alters the traditional human creative pipeline, impacting the industry's workforce.

From Frames to Animatic: A Glimpse into AI Workflow

AI tools transform static concepts into dynamic sequences. DomoAI, for example, offers a 'Frames to Video' feature, converting 2-8 frames into a smooth animatic, as reported by DomoAI. This capability allows directors to rapidly test camera movements, pacing, and scene blocking without extensive manual drawing. The implication is a compressed pre-production timeline, potentially shifting resources and creative focus earlier in the development cycle.

The Unseen Cost: Ethical Dilemmas and Livelihood Threats

The rise of AI in pre-visualization presents significant ethical and economic concerns for human artists. Karla Ortiz criticized Scorsese's endorsement, stating AI models are likely trained on storyboard artists' work, directly threatening their livelihoods, according to BBC. This suggests the 'creative freedom' for directors may derive from uncompensated labor, creating an urgent crisis regarding intellectual property and fair compensation. The viability of human creative professions now faces direct challenge.

Industry Perspectives: Integration vs. Caution

The industry holds divergent views on AI's role. Martin Scorsese stated AI has been 'creatively freeing' in pre-production, according to BBC. This reflects a growing acceptance that AI enhances creative control and accelerates idea visualization. However, this perspective contrasts with concerns about the technology's broader impact on human artists. Steven Spielberg believes AI could assist in tasks like scouting locations but should remain a 'tool in a large tool chest,' as reported by BBC. This philosophical divergence among legendary directors highlights the ongoing debate: full partnership versus cautious utility. The integration of AI into filmmaking pre-production presents a dual-edged sword, offering creative liberation for some while demanding careful consideration of its broader impact on the artistic community. Specialized tools from companies like Black Forest Labs, which Scorsese advises, and platforms like DomoAI with features like 'Frames to Video,' exemplify the diverse applications emerging.

The rapid evolution of AI tools, exemplified by Black Forest Labs and DomoAI, suggests that by 2026, the film industry will likely face an imperative to establish clearer guidelines for ethical AI use and compensation, shaping a sustainable creative future if dialogue between technologists, filmmakers, and artists can bridge current divides.