Looks Good On Screen

At Governors Ball Music Festival a few weeks ago, festival goers could experiment with AI powered outfit try-on’s powered by Depop and DressX. Users could step in front of the “AI mirror” take a photo with different tops, bottoms, shoes and accessories, and DressX will email or text the photo with links to buy the pieces. 

This isn’t the first instance of AI integrating in fashion. 

Google’s Gemini-powered virtual try-on tool is now letting shoppers upload photos to see how billions of garments might fit their bodies. Snapchat, Amazon, and luxury retailers have also invested in augmented reality shopping tools of their own.

However, these AI tools are not actually accurate representations od a product. AI try-on tools are digitally draping a 2D or 3D image of a garment onto a photo of a person’s body. It's closer to Photoshop than an actual fitting room. The AI doesn't know how that fabric actually behaves. Whether a silk blouse clings awkwardly at the waist or if those jeans gap at the back, or whether that dress pulls across the shoulders when you move.

Fit is determined by dozens of factors the AI simply cannot simulate, someone’s posture, how they carry weight in motion, the stretch (or lack thereof) in a fabric or how a waistband sits after you've been wearing it for three hours. A static image on a static body tells you almost nothing about any of that

And it isn’t just fashion, it’s also beauty brands. Sephora has allowed users to take a selfie and allow users to test lipstick shades, foundation matches, blush placement, and eye looks directly on their faces through AI and augmented reality. But again factors like lighting, skin tone variations and the product placement actually affects how the makeup product looks on a face which AI cannot replicate accurately.

What was once a futuristic experiment is quickly becoming one of retail’s biggest innovations. AI try-on technology is reshaping how consumers discover, shop, and imagine clothing, moving the fitting room from physical stores to smartphones, festivals, and social platforms. When you can see a product on your body before buying, the logic goes, you buy smarter. Less waste, fewer returns, more confidence.

And that raises a bigger question: is AI try-on actually solving a problem, or just making consumption easier?

The friction that once existed in a physical fitting room wasn't just inconvenient. It was a natural pause, a moment where people asked themselves do I actually need this? AI try-on quietly eliminates that pause and replaces it with a dopamine hit and a "buy now" link texted straight to your phone.

At a deeper level, this technology accelerates the very cycle it claims to solve. Fast fashion's biggest crisis isn't that people can't visualize clothing, it's that people buy too much, too fast, and discard it too easily. Making purchasing more seamless doesn't reduce overconsumption. It supercharges it.

The future of retail may very well be digital mirrors and virtual fitting rooms. But if AI is changing how we shop, it’s also worth asking whether it’s changing why we shop.