In a world where brands function as cultural artifacts rather than just commercial entities, traditional metrics no longer tell the full story. To understand a brand’s true value and its potential for longevity, we must move beyond surface-level sentiment and transactional data. What matters now is resonance: the ability of a brand to align with evolving cultural narratives and systemic realities. This means decoding how brands participate in shared symbols, respond to shifting social norms, and integrate into the broader ethical and ecological structures shaping our future. Resonance is not just a measure of relevance. It is a measure of adaptability, integrity, and meaning.

Scapegoating in contemporary culture reveals a deeper failure not only in public discourse but in the way research and foresight are practiced. When societies assign blame to symbolic targets such as migrants, youth, AI, or academic institutions, they often reflect a broader discomfort with complexity, ambiguity, and systemic accountability. These patterns of blame are not merely sociopolitical but point to a crisis in how knowledge is produced and applied. Traditional foresight practices that rely heavily on linear trends, quantifiable data, and sanitized narratives fail to account for the emotional, symbolic, and narrative dimensions of collective behavior. To move forward, research must evolve into a layered, participatory practice that includes cultural semiotics, affective insight, and plural perspectives. Only by treating scapegoats as meaningful signals of what societies cannot process can foresight become a tool not just for prediction, but for understanding and transformation.

In the wake of this weekend’s strike on Iran, the urgency to reassess how we understand uncertainty is clear. Strategic decisions are often driven by what appears to be missing, yet the real blind spots may lie in how meaning is constructed and perceived. A mixed-method approach that combines scenario planning, cultural analysis, and psychological models like the Johari Window offers a more complete way to navigate complexity. It moves beyond filling data gaps and instead focuses on understanding the narratives, identities, and emotions that shape global events.

Cultural behavior rarely follows a straight line. What looks irrational on the surface often reflects deeper emotional logics, shifting norms, and emergent values. This piece explores how strategic foresight can move beyond binary thinking to recognize ambiguity as a key signal, not a flaw in the system. Using a Bayesian framework, it highlights how patterns like solo living, intragenerational tension, and hybrid urban resistance offer measurable insights into how culture is evolving. Rather than seeking clarity too quickly, the analysis embraces contradiction, showing how foresight becomes stronger when it listens more carefully to what doesn’t fit. GenAI plays a supporting role in surfacing these subtleties, helping to track meaning where logic alone falls short

In a world increasingly shaped by GenAI, memory becomes an active tool for understanding, not just a static archive of the past. Rather than offering linear predictions, GenAI helps us uncover forgotten narratives, buried assumptions, and long patterns that still influence the present. It allows us to reorganize history across multiple timescales, revealing how emotional resonance, environmental shifts, and cultural habits converge in ways we often overlook. This turns foresight into more than a forward-looking practice. It becomes a form of intentional remembrance, prompting us to ask which stories we carry, which we silence, and how those choices shape what comes next.

In a world focused on logic and optimization, the real forces shaping our future often exist beneath the surface in the quiet codes of culture. From the design of suburban lawns to the voices of digital assistants, everyday elements carry hidden narratives. These implicit cultural domains are not random; they are inherited and deeply influential. Understanding them calls for intelligence that sees contradiction as meaning and uses that insight to design futures grounded in both human complexity and cultural truth.

In this episode of Analyzing Trends, we explore how sport is evolving from a stage of protest and identity to a site of technological transformation and social impact. From the legacy of athlete-activists to the rise of biometric performers and subscription-supported creators, we unpack how sport is not just mirroring culture—it is shaping it. Through the lens of design, policy, and cultural foresight, this episode challenges us to think beyond the arena and into the systems, platforms, and futures that define what it means to play, perform, and belong.

Metabolic health is no longer just a medical issue. It is a cultural flashpoint shaping body image, social equity, and how communities build trust. What began as a pharmaceutical breakthrough is now influencing the way people eat, connect, and express identity. The deeper story is not about the drug itself. It is about the systems and symbols people use to navigate it.We used our AI-augmented Crisis Subcultures Toolkit to explore the deeper connections between internal stakeholders and both internal and external subcultures. This method reveals how influence flows through institutions, grassroots networks, and fringe communities. The future is not fixed. It is unfolding through the tension and alignment among these groups as external forces continue to shift. By mapping these cultural dynamics, we gain clearer insight into what shapes behavior and how to design more responsive, human-centered strategies.

In this episode, we explore the rise of the AI purity test, a new social instinct that quietly judges people based on how they use artificial intelligence in their work. From subtle comments about writing that feels too polished to deeper assumptions about effort and authenticity, we look at how these judgments are shaping creative and professional spaces. Through themes like Rich Reset Culture and Deepfake Normal, we examine how privilege influences who gets to reject AI and who relies on it to keep up. This is not just a story about technology but about status, design, and what it really means to think for yourself.

What if the future of AI wasn't about making machines more human, but about helping humans better understand themselves? In a world increasingly shaped by frictionless communication and emotionally polished chatbots, we’re beginning to trade the messy, imperfect, deeply human textures of interaction for something eerily seamless. This podcast explores how generative AI is not just changing how we talk—it’s quietly reshaping what we value in emotional labor, empathy, and connection. From the Eliza Effect to Her and Interstellar, we dig into the cultural and ethical stakes of designing AI that doesn't just imitate us—but influences how we define ourselves.