Rewiring how stories are developed and produced

  • Preproduction acceleration. AI-assisted storyboarding, 3D modeling for sets, and camera path planning can front-load work in preproduction and shorten the length of physical production, including costly reshoots. Adobe’s Firefly Foundry approach —commercial safe, IP-protected models trained for specific IP owners —hints at what’s next: 'You don’t need a model that works for everyone,' a leader at Adobe said. 'You just need one trained for that use case.'
  • Postproduction efficiency. AI is already automating cosmetic improvements, de-aging, and dialogue replacement. As a former studio executive observed, 'Vanity fixes are a significant share of visual effects [VFX], and that’s now pretty easy to do with AI. These tasks used to be incredibly manually intensive.'
  • Marketing and engagement. From automated trailer editing to AI-assisted audience testing, 'Marketing asset creation is an obvious and lower-stakes use case,' one studio executive noted.
"These use cases are not speculative. Studios are already deploying gen AI tools in Adobe Premiere Pro, Adobe After Effects, and other professional workflows to extend shots, remove booms, or realign visuals to the soundtrack —the kind of microtasks that once absorbed hundreds of staff hours. Studio executives expect as much as 80 to 90 percent efficiency gains in VFX and 3D asset creation."


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