How AI Is Forcing Brands to Rethink Authenticity

Chris Sanderson, cofounder of The Future Laboratory, questioned the future of beauty, fashion, and wellness categories at the 2026 Beauty CEO Summit, arguing that AI’s rapid advances may erase traditional boundaries. He noted that while AI was intended to diversify beauty standards, it often reinforces homogeneity, with algorithms prioritizing familiarity over diversity in platforms like TikTok, Instagram, and Spotify. Sanderson’s research revealed that 49 percent of 18- to 35-year-olds accept AI communication from brands, but only 24 percent of 18- to 24-year-olds trust it, creating a risk of eroding consumer trust. To navigate this challenge, Sanderson and Madeleine Boyd of the Together Group identified three trends: algorithmic amplification, creator verse, and mood curation. Algorithmic amplification turns digital spaces into echo chambers, producing content that feels safe but emotionally hollow. Brands like Dove are resisting AI-generated unrealistic beauty standards, but the issue extends beyond images—AI creators now mirror narrow aesthetic norms, complicating authenticity and ownership. Sanderson emphasized that deepfakes and synthetic content blur the line between human and AI-generated influence, requiring brands to adopt transparency and co-creation. He advised brands to frame AI as a collaborator rather than a replacement, ensuring audiences accept artificial enhancements while rejecting inauthenticity. Boyd added that beauty risks losing relevance if it becomes predictable, but this tension presents an opportunity for brands to innovate responsibly. The discussion highlighted that AI cannot replicate real-life sensory experiences but can amplify in-person activations when used thoughtfully. Sanderson concluded that beauty’s predictability weakens its impact, urging brands to balance AI efficiency with trust-building measures. The key, they agreed, lies in careful attribution and preserving genuine influence in an increasingly artificial landscape.