Gain a deeper understanding of the role structure plays in research and analysis by uncovering connections between ideas, patterns, and context. Explore how structured thinking allows us to decode complex systems and develop inclusive strategies that adapt to cultural nuances. Learn how a well-organized approach can reduce bias, highlight diverse perspectives, and reveal hidden dynamics that shape our understanding of the world.

This episode explores the challenges facing luxury and political brands, highlighting how inconsistent narratives and misaligned strategies have eroded their relevance. It emphasizes the importance of cultural intelligence and value-driven storytelling to restore trust, using examples like Hermès’ focus on craftsmanship and Andy Beshear’s inclusive political messaging. To remain relevant, brands must evolve from static symbols into dynamic entities that listen to and adapt alongside cultural shifts.

Gender dynamics reveal profound tensions, where men face crises of isolation and identity as traditional roles are questioned, and women strive to balance empowerment with persistent societal burdens. Both groups are renegotiating their cultural archetypes, signaling opportunities for greater equity, empathy, and collaboration in reshaping societal systems. We take a closer look.

This analysis explores the parallels between Stephen Fry's description of surface-level conversational techniques, such as repeating the last word to maintain engagement, and how generative AI tools like NotebookLM can sometimes fall into similar patterns of shallow mimicry. While Fry's technique highlights the illusion of connection without depth, AI tools risk reinforcing passive interactions if they only reflect back user inputs. To overcome this, we must rethink how we craft prompts, treating them as opportunities for deeper exploration and collaboration. By designing prompts that encourage thoughtful engagement, we can use generative AI as a tool for augmented intelligence, fostering dynamic and meaningful dialogue that challenges assumptions and drives innovation.

This semester, another outstanding cohort of students has participated in the Analyzing Trends course at Parsons School of Design - The New School. Students have been delving deeper into the use of Generative AI tools within a structured framework for trend analysis and speculative foresight. Their work is grounded in a methodical approach to desk research and pattern recognition, forming the foundation of their analyses. By incorporating Generative AI, students have been able to accelerate their exploration and expand into more diverse directions of inquiry. Here is a summary of their project work for the semester.

South Korea and the United States are navigating significant societal pressures, including mental health challenges and shifting political dynamics, with pop culture serving as both a mirror and a catalyst for change.

Post-Hype Design Futures explores innovative strategies for cultural, retail, and experiential design in a post-hype landscape, emphasizing sustainability, inclusivity, and long-term engagement. It analyzes the duality of spectacle-driven events, critiquing their reliance on exclusivity and consumerism, while proposing shifts toward authenticity, decentralized trends, and ethical practices. (GenAI podcast generated with NotebookLM)

Post-Global Fashion Design Futures explores the fashion industry’s evolution under post-pandemic pressures such as fragile supply chains, nearshoring, and rising political populism, driving a shift toward decentralized, sustainable models. Together, these scenarios offer diverse solutions while highlighting the need to balance strategies in an uncertain global environment. (podcast produced with NotebookLM) Download the pdf report at scenariodna.com/trendreports

In our latest episode, produced with the help of NotebookLM robots, we explore potential futures for the food and beverage industry under a second Trump administration by analyzing historical and emerging consumer and market patterns. It examines how the industry might adapt to potential government actions, such as deregulation and economic policy shifts, by focusing on key themes like trust, transparency, and local responsiveness.

In our latest podcast episode, produced with the help of NotebookLM robots, we examine the use of artificial intelligence (AI) and culture mapping in cultural research, specifically focusing on the potential for bias in these tools. The discussion highlights the benefits of AI, such as enhanced pattern recognition and pre-emptive culture mapping, but also warns of potential biases embedded in the data and algorithms.