As artificial intelligence becomes embedded in everyday life, the question is no longer whether it will shape society, but how it should be shaped. For product designer Yuqing Zhang, design serves as a bridge between humanistic values and technological innovation, transforming emerging tools into meaningful social impact. Over the past year, her work has garnered sustained international recognition across major design awards and exhibitions. ServeUp first received Gold Winner at the 2025 MUSE Design Awards and was later presented at The Flavor of Learning at Flowing Space in New York. Around the same period, her installation Sweat for Generation earned the Best of the Best distinction at the 2025 C2A Awards and was exhibited at CICA Museum in Korea. Most recently, ServeUp was honored as a 2026 iF Design Award Winner, one of the world’s most respected recognitions in the global design industry.
These recognitions reflect the growing relevance of her inquiry into artificial intelligence as a socio-technical force. Across scalable product systems and critical installations, Zhang explores how technology can strengthen, rather than diminish, the human experience. Her practice approaches technology as a medium that must be carefully shaped through design—guided by social responsibility, cross-disciplinary thinking, and a commitment to expanding access and opportunity.
ServeUp: Redesigning Workforce Equity Through AI
ServeUp is an AI-powered, gamified training platform designed to help restaurants streamline onboarding and improve staff engagement. The idea grew out of Zhang’s market research, which revealed that the hospitality industry struggles with high turnover and repeated retraining cycles, with many employees leaving within just a few months. Through conversations with operators and frontline workers, she found that most training methods remain outdated, placing a disproportionate burden on small and mid-sized businesses. “The core failure of current training systems is structural,” Zhang explains. “Materials are disconnected, and without timely feedback, growth feels slow and discouraging. Staff don’t have hours to study outside of work. Training has to adapt to real working conditions and fragmented attention.”
In response, Zhang co-founded ServeUp and led its product experience design, transforming onboarding into an adaptive, mobile-first learning ecosystem. Restaurants upload menus and internal guidelines, which the system converts into structured micro-lessons, flashcards, and dynamically adjusted quizzes. When employees struggle with specific content, the platform reinforces weak areas and recalibrates difficulty. A scenario-based roleplay module allows staff to interact with an AI simulating real customers who ask about dishes, dietary restrictions, and recommendations. Instead of memorizing information, employees practice applied service situations and receive personalized feedback. A real-time administrative dashboard enables managers to track engagement and standardize training across locations, converting informal onboarding into a measurable system.
ServeUp is projected to reduce onboarding time by up to 40 percent, significantly lowering retraining costs and operational inefficiencies for restaurants. Its recognition as a 2026 iF Design Award Winner highlights the platform’s innovation in applying artificial intelligence to workforce development at scale. The project has also received honors from the 2025 MUSE and French Design Awards and has been presented at international venues including Flowing Space in New York and GOSIM 2025 Spotlight in China.
For Zhang, the ambition extends beyond efficiency. “By lowering training costs and reducing turnover, we help businesses operate more sustainably while giving workers access to structured, effective learning that leads to greater stability,” she explains. “AI should ultimately serve people. If it expands opportunity and professional growth, then it becomes a tool for strengthening social equity rather than widening gaps.”
Sweat for Generation – Experiencing the Labor Unseen
If ServeUp addresses workforce inequity, Zhang’s art installation Sweat for Generation – Experiencing the Labor Unseen examines the invisible infrastructure behind AI itself. Today, users type questions into AI systems and receive answers within seconds, rarely considering the computational resources required to generate them. This frictionless convenience also risks fostering intellectual complacency, as instant responses replace slower processes of independent reasoning and critical reflection.
In the installation, visitors type a question into a familiar chatbot interface. After retrieving the AI-generated response, the system calculates token usage and translates that computational cost into an estimated equivalent of physical energy. The participant must rotate a mechanical handle attached to a printer as the answer slowly prints on receipt paper, accompanied by contextualized comparisons that translate energy consumption into relatable physical equivalents. By converting digital output into bodily effort, the work restores friction to an otherwise seamless interaction.
“I wanted to make the invisible visible,” Zhang explains. “When everything feels instant, we forget the cost—both environmental and cognitive, and we risk losing our ability to pause and evaluate critically. Design shouldn’t only make systems smoother; it should make their consequences understandable.”
Awarded the Best of the Best distinction at the 2025 C2A Awards and presented across multiple international venues, the installation reflects the growing global resonance of Zhang’s inquiry into AI’s hidden infrastructures. Through its deliberate physical interaction and energy translation mechanism, the work reframes AI as infrastructure rather than oracle, inviting viewers to reconsider their relationship with automated knowledge.
An Interdisciplinary Vision for Human-Centered AI
Together, these projects reflect Zhang’s interdisciplinary foundation. Trained initially in Urban Planning, she developed a systems-level understanding of how design shapes public participation and social equity. She later pursued advanced studies in Human-Computer Interaction at the University of Washington in Seattle, expanding her expertise in product design and interactive systems. This combination enables her to approach AI as a socio-technical infrastructure rather than an isolated interface.
Now based in New York, Zhang works as a product designer developing AI tools that assist legal professionals in reviewing and drafting documents, improving efficiency and reducing error in high-stakes environments. Across industries—from hospitality to law—her focus remains consistent: designing AI systems that augment human judgment while preserving accountability. As she has articulated, “Technology is never neutral. The systems we design determine who benefits, who is excluded, and how power circulates. My goal is to build AI tools that expand access to knowledge and opportunity, while preserving human agency and critical thinking.”
