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Tyson Cung
Tyson Cung

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AI Skincare Scanned Her Face and Got It Completely Wrong

AI beauty apps are failing millions of women — especially those with darker skin tones.

The Problem

The AI skincare industry is projected to hit $16.4 billion by 2036. But most of these apps were trained predominantly on lighter skin tones.

The result? Wrong product recommendations. Misdiagnosed skin conditions. An entire market built on biased training data.

Why It Matters

When an AI scans your face and gets it wrong, the consequences are not just cosmetic. Wrong skincare advice can lead to:

  • Skin damage from incorrect product recommendations
  • Missed conditions that needed medical attention
  • Wasted money on products that were never right for you

The Fix

Companies need to invest in diverse training datasets. Period. Until then, treat AI skincare recommendations as suggestions, not prescriptions.


Has an AI beauty app ever gotten YOUR skin wrong? Drop your experience in the comments 👇

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