Prediction: Designers to Lead Consumer Products
As AI gets better at writing code, designers with strong UX and design system skills will become more dominant in building consumer products. Technologist Matthew Lam predicts AI will lag in creating polished, human-centric experiences, creating an opening for designers who can build full products themselves.
The financial upside to a design-led strategy is well-documented; companies in the top quartile for design integration have seen their revenues grow by 32 percentage points more than their industry counterparts over a five-year period. This same group also delivered 56 percentage points higher total returns to shareholders, underscoring a significant market reward for prioritizing user experience. This trend is powered by a shift in organizational structure where design is not a siloed department but a core, cross-functional talent integrated into all business functions. In these top-performing companies, design is treated as a C-suite issue, with performance measured with the same analytical rigor as revenue and costs, a practice that less than 5% of companies in a McKinsey survey reported their leaders could do objectively. The technologist mentioned, Matthew Lam, is a Senior Product Manager at Reddit with over a decade of experience in product roles at companies like Udacity and Deloitte Digital. His prediction stems from a career focused on the intersection of user experience and business strategy in consumer technology. In practice, the collaboration between product managers and designers is becoming a true partnership, with both roles sharing responsibilities in customer research, testing ideas, and defining product requirements. Successful product teams often initiate projects together, with PMs creating low-fidelity wireframes based on their requirements, which then serve as the foundation for UX designers. This close-knit workflow ensures that business goals and user needs are aligned from the start. Leading consumer applications are already demonstrating the power of AI in enhancing user experience. Netflix attributes over 80% of content streamed to its AI-driven recommendation engine, which analyzes viewing habits in real-time. Similarly, Starbucks uses its "Deep Brew" AI platform to personalize offers for its 34 million rewards members by analyzing purchase history alongside contextual data like location and weather. Beauty retailer Sephora provides another example with its AI-powered "Virtual Artist," which uses augmented reality to suggest products by analyzing a user's facial features. This move transforms the browsing experience into an interactive "try-before-you-buy" tool, a clear example of using AI to solve a core user need. However, the increasing use of AI for personalization is shaped by data privacy regulations like the GDPR. These regulations require companies to be transparent about what data they collect and for what specific purposes, a principle known as "purpose limitation." As a result, companies must design their AI systems to use only the data necessary for a stated purpose, a concept called data minimization. This regulatory environment reinforces the need for strong, human-centered design. As AI handles more of the backend data processing, designers and product managers are freed up to focus on the strategic and ethical considerations of the user experience. The emphasis is on creating transparent, fair, and trustworthy AI-driven interactions that respect user privacy while still delivering a personalized and valuable experience.
