How brands can build AI that inspires
Efficiency dominates conversations about AI. We celebrate its ability to automate and optimize so businesses can move faster and people can work smarter. But AI is becoming more integrated into people’s lives in ways that go far beyond productivity. In a world obsessed with speed and efficiency, the future of AI isn’t just intelligent—it’s beautiful. AI is now a force that enhances creativity, self-expression, and confidence. AI does not just optimize life—it elevates it.
Consumers are embracing AI for everything from recipe creation and travel planning to interior design and fitness regimens. They are turning to AI for recommendations on shows, movies, music, restaurants, and, of course, beauty and fashion. In these contexts, AI is enhancing experiences and sparking creativity.
Because consumers are using AI to explore and have fun, companies can encourage broader adoption by focusing on building AI products designed to inspire. Brands have more opportunities than ever to build AI into their experiences as access to generative AI and specialized APIs broadens. However, that shift requires rethinking how we design and deploy AI so that it serves as a partner in expression and discovery.
BUILD AI THAT DELIGHTS
To build AI experiences that consumers genuinely enjoy, we need to understand what makes technology beautiful and inspirational in the first place. Fundamentally, it’s about aligning how systems function with how people naturally behave, think, and learn.
We gravitate toward systems that show cause and effect, where we can see how our unique inputs shape the results. Visual feedback, confidence scores, or small cues that acknowledge uncertainty all make the interaction more collaborative. For example, Neutrogena’s Skin360 helps consumers identify their individual skin concerns and goals, and then suggests products, tips, and ingredients to help them achieve their desired outcomes. The experience gives consumers personalized assistance that makes them feel confident about the products and encourages them to purchase.
Inspirational AI also encourages curiosity. AI assistants allow users to try different inputs and discover new outcomes on their own terms. As an example, Hopper’s AI travel planner lets users play with different dates, destinations, and budgets, surfacing alternative routes or seasons to encourage experimentation.
That experimentation works best when users maintain creative control. AI that provides suggestions rather than conclusions empowers people to make choices that feel personal. This approach transforms digital moments, such as shopping and content creation, into expressive experiences. Similarly, Grammarly and Shopify’s AI suggest edits or design options, but leave final decisions to users.
APIs HELP BRANDS OF ALL SIZES UNLEASH CREATIVITY
One of the most exciting developments in consumer AI is its accessibility. The proliferation of APIs and generative frameworks now makes it possible for companies of all sizes to experiment, prototype, and deploy creative AI experiences quickly, affordably, and with less risk.
These tools allow brands to plug advanced models into existing platforms, test new ideas, and learn from user behavior in real time. A small direct-to-consumer (DTC) brand can integrate a virtual try-on experience or an AI-powered stylist without specialized expertise. They can test whether a feature resonates with users, gather feedback, and deploy updates within days or weeks rather than months.
The proliferation of consumer AI APIs also unlocks entirely new categories of creative experiences. Take cultural recommendation engine Qloo, which offers an API that can predict correlations across music, dining, fashion, and film. Brands can explore creative pairings that surprise and delight users. Imagine a fashion brand suggesting a playlist to match a look—these connections create moments of discovery that feel magical.
What makes these experiences particularly powerful is how they reimagine the relationship between users and recommendations. Generative tools shift the paradigm from delivering static recommendations to enabling co-creation. Brands can now offer generative AI tools that let users actively participate in creating something new rather than showing them what they might like based on past behavior—designing personalized products, generating new looks, or expressing preferences interactively. This transforms passive consumption into active exploration.
With this transformation, the metrics of success change. Brands should think of these APIs as creative building blocks to test emotional responses and track indicators of enjoyment that may include time spent experimenting, frequency of sharing, or the likelihood of a consumer returning. New metrics for a beauty brand might look like a consumer spending ten minutes playing with different virtual makeup looks, trying bold colors they had never considered before.
With access to this technology once reserved for large enterprises, DTC brands and small-to-medium-sized businesses can compete with brand and retail giants in delivering sophisticated AI experiences. A boutique cosmetics shop can offer the same caliber of consumer AI technology as a multinational beauty company. This democratization gives consumers wider access to inspirational AI experiences across products and services they care about.
DESIGN FOR WHAT COMES NEXT
Consumer AI is at a turning point. The underlying technology will continue to improve, but adoption depends on how well it understands and serves human emotion.
To design AI rooted in inspiration and discovery is to design for trust and for delight, giving users space to explore and create technology that stops feeling like automation and starts feeling like play.
Alice Chang is the CEO and founder of Perfect Corp.