AI in creative production — what works, what doesn't, and how taste still wins.
Goa has become an unexpectedly interesting place to see how AI in social media is being adopted by brands that take craft seriously.
Indian D2C brands spend more on product photography than almost any line item except media. In 2026, that became an unforced error.
Every D2C founder we meet has a strong intuition about what their content production costs. Almost no one has actually run the numbers in eighteen months.
Lifestyle imagery is the part of a D2C catalogue most brands cannot afford to keep current. AI has changed that — but only for the brands that know which.
A Shopify catalogue is a working hypothesis about what converts. Most brands treat it as fixed creative.
Amazon is where image quality and image discipline produce the most measurable revenue lift in commerce.
For most D2C founders, the catalogue is an asset that depreciates by the month and a cost line that resists shrinking. AI production breaks this trade-off.
Brand teams spend long hours worrying about how to disclose AI-augmented content. Most of that worry is misplaced.
Most D2C brands talk about content as if it were a marketing channel. The brands that win treat it as operating infrastructure.
AI in creative production crossed the line from gimmick to working tool over the past eighteen months.
The right answer to 'shot or AI?' is almost always 'both, in the right places'. Here's the framework we use to decide for every brand we work with.
