A professional beauty editor puts ChatGPT to the test, requesting a brutal critique of her look to see if artificial intelligence can provide viable makeup, hair, and skincare advice.
In an era where artificial intelligence has permeated almost every aspect of our existence, from professional productivity to emotional support, a daring experiment was conducted to see if ChatGPT could handle the nuanced world of high-end beauty.
The premise was simple yet intimidating: a professional beauty editor decided to subject her own appearance to the ruthless gaze of an AI, instructing the program to be brutal, much like a critical older sister. This approach was based on the insight that AI often defaults to polite, generic platitudes unless specifically pushed to be honest.
The goal was to determine if an algorithm could identify the subtle deficiencies in a look that had remained unchanged since 2012, and whether such a tool could eventually render human beauty consultants redundant. According to data from the BBC, one in three UK adults already utilize these tools for social interaction or emotional support, making it a prime time to test its efficacy in the aesthetic sphere. The initial phase of the experiment focused on makeup and color theory.
After analyzing a photograph, the AI provided a rapid-fire list of improvements. It suggested adding shimmer to the eyelids, enhancing brow definition, and opting for a more vibrant lip shade to give the mouth more personality. While the editor agreed with the general logic—specifically the idea that contrast tends to diminish with age, leading to a washed-out appearance—she noted a critical flaw in the AI's logic. The algorithm failed to account for personal skin conditions such as rosacea.
For someone with facial redness, a bold red lip can create an unflattering, ruddy effect that a human expert would immediately recognize as a mistake, but which an AI perceives only as a lack of contrast. This highlighted the gap between data-driven suggestions and the actual biological realities of skin tone. The critique then shifted to hair and overall grooming. The AI advocated for a sharper haircut and the addition of face-framing highlights to create more dimension.
Interestingly, the AI suggested making the hair glossier, a point of contention for the editor who had already invested in professional salon blow-dries and conditioning treatments. Despite this misstep, the AI's ability to generate images of trending fringes was impressive enough to make the editor reconsider her current style, although she noted that the AI remained oblivious to practical realities like stubborn cow licks or the habitual need to tie hair back during work.
The AI eventually rated her look an 8 out of 10, suggesting that with a few strategic pushes, she could reach a 9 or above. Moving into the realm of aesthetic medicine, the AI demonstrated a surprising level of specificity. It steered the editor away from invasive surgery, stating that she did not need fixing but rather editing.
It identified minor hollowing under the eyes and upper-lid heaviness, suggesting non-surgical interventions such as polynucleotides and a very cautious dose of lip filler—specifically capping it at 0.5 ml to avoid an unnatural appearance. It also recommended Ultherapy for skin tightening and BroadBand Light therapy for skin tone evening. These suggestions aligned closely with treatments the editor had already undergone or considered, proving that the AI possesses a vast database of current dermatological trends and standard clinical practices.
Ultimately, the experience revealed a fundamental truth about the intersection of technology and aesthetics. While ChatGPT can process massive amounts of data and offer technically sound advice, it lacks the intuitive human understanding of nuance, physical sensation, and the psychological aspects of beauty. The AI's parting comment—that the editor was polished and attractive but slightly too safe—captured the essence of the tool: it is an excellent starting point for inspiration, but it requires a human sense-check to be truly effective.
For the beauty editor, the conclusion was clear: while AI can suggest the right products, like a high-quality frizz-ease treatment for smooth hair or a specific Nars lip balm for a pop of color, it cannot replace the curated eye and professional experience of a human expert
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