Edge AI Reshapes Creative Production, Says Slay Media

Edge AI is beginning to reshape how creative teams operate, according to Khushboo Mulani, Founder and ShEO of Slay Media. She says tasks that once consumed hours, including resizing visuals, drafting pipeline scripts and sequencing edits, are now largely automated, compressing production timelines and freeing teams to focus on higher-value creative decisions.
- Edge AI is reshaping day-to-day creative production
- Repetitive adaptation, resizing and versioning are being automated
- Human teams shift to ideas, taste and brand consistency
- View from Khushboo Mulani, Founder and ShEO, Slay Media
The Edge AI Shift in Creative Workflows
The change points to a production model in which AI handles repetitive adaptation and versioning close to the point of use, rather than routing every task through centralised, time-intensive processes. Instead of manually preparing each asset for different platforms and formats, teams increasingly rely on automated systems to manage the technical groundwork of production.
What used to require hours - resizing visuals, drafting pipeline scripts, sequencing edits - is now completely automated. - Khushboo Mulani, Founder and ShEO, Slay Media
What It Means for Indian Marketers
For Indian marketers producing high volumes of platform-specific creative, the promise is faster turnarounds without a proportionate rise in production cost. As brands push out content across multiple formats and platforms simultaneously, the ability to automate versioning and adaptation reduces the operational burden on production teams.
According to Mulani, this shift allows human teams to concentrate on ideas, taste and brand consistency rather than repetitive technical work. With automation absorbing the mechanical aspects of production, creative talent is positioned to spend more time on strategic and conceptual decisions that shape how brands are perceived.
The development reflects a broader trend in which automation is moving closer to the point of use in creative pipelines, rather than being confined to isolated tools or one-off tasks. As this model matures, it may influence how agencies and in-house teams structure their production processes, particularly for brands that need to produce large volumes of platform-specific content at speed.
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