Perfect Corp.’s AI-powered skin-analysis kiosk at CES 2026 told a Gen-Z reporter her skin age is over a decade older than her calendar age, then offered a detailed, non-salesy roadmap to better skin.
> At a Glance
> – A quick tablet scan rated the writer’s skin age at 10+ years older than her real age
> – The free report flagged redness, wrinkles, and moisture loss instead of pushing products
> – Users can preview long-term results of new habits or products via generative AI simulations
> – Why it matters: It shows beauty tech can educate without immediately upselling
The experience started with a brief survey on sunscreen habits, current skincare steps, and home climate. A tablet camera captured a close-up photo, and within 60 seconds a color-coded dashboard appeared on screen.
How the AI Skin Scan Works
Perfect’s system scores skin on multiple metrics, then bundles them into an overall grade. While the writer’s skin-age number stung, her general score felt fair and the granular data-especially the low moisture reading-matched how her face felt after long CES days.
The dryness insight proved useful:
- She drank extra water that night
- Next morning her complexion already looked plumper
- The app never tried to sell her a $200 serum
Beyond Analysis: Virtual Try-Ons & Time-Lapse Views
Perfect’s “beauty stack” runs on three layers:
- Perception layer – computer vision maps skin issues
- Data layer – generative AI renders possible changes
- Chat layer – request tweaks through a conversational window
Luxury brands are embedding the tech so shoppers can watch a simulated 14-day progression of using a specific cream before paying. Early access users get a complimentary consultation plus a 14-day free trial inside the consumer app.
Key Takeaways
- Skin-age numbers can be jarring but spur helpful habit tweaks
- The tool focuses on education, not instant product pushes
- Generative previews may curb pricey skincare trial-and-error
- Responsible design will decide whether AI beauty tech truly helps users or just sells more jars
For the writer, the biggest surprise wasn’t the gloomy age estimate-it was finding an AI beauty booth that felt more like a coach than a cash register.
