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          What Does the AI Revolution Mean                           compounds, streamlining  the ingredient discovery process.
          for the Beauty Industry?                                   Among some of the most notable cosmetic breakthroughs seen
          Artificial  intelligence  is  making  waves  across  industries,  and   within the industry, Ireland-based biotech company Nuritas
          beauty is no exception. While AI might sound like a buzzword   has discovered through  a combination  of  AI  and  genomics,
          for advanced  computer programs, its  role  has  been  key  in   bioactive  peptides  having  an  effect  on  skin  health  and  anti-
          developing consumer-centric experiences, from personalized   aging properties.
          skin and hair analysis and recommendation, to virtual try-
          ons, to immersive shopping experiences, the beauty industry
          is  benefiting  from  this  wave  of  technological  advancements,
          contributing to its global expected value of US $445.98 billion
          by 2030. 4
          Beyond its role in reshaping the consumer experience both on
          and offline, AI plays a significant role in developing new cosmetic
          ingredients, bringing innovation and efficiency to formulation
          processes. The cosmetics industry thrives on discovering novel,
          effective  ingredients  to  meet  consumer  demands  for  safer,
          more sustainable, and superior products. AI is emerging as a
          powerful ally in this quest, unlocking opportunities for ingredient
          discovery, formulation optimization, and personalized product
          development.

          AI as an Ally for Cosmetic
          Ingredient Discovery

          Once traditionally a human-led effort, the search and discovery of
          new cosmetic ingredients is revolutionized by AI. Sifting through
          vast datasets of chemical compounds, biological interactions,
          and consumer preferences, machine learning algorithms can   Image source: Unsplash
          rapidly predict the efficacy, safety, and compatibility of various
          1 PwC                                                                                                             17
          2 University of Pennsylvania
          3 Nexford University
          4 Grand View Research
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