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Analyzing Trends is the essential podcast for leaders, strategists, and innovators seeking to decode the cultural forces shaping our future.
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Most of what passes as “trend” right now is really about how we route memory. Feeds and platforms teach us to click what we already recognize, so nostalgia quietly becomes a default strategy. It feels safe, but if every brand keeps raiding its own archive, the past stops feeling special and starts feeling like inventory.The next phase of brand work has to focus less on throwbacks and more on continuity: building products, rituals, and experiences people want to return to, not just recognize once. We discuss this needed shift in strategy in our new book Story Systems, which looks at how cultural research can show where people use references for comfort, status, and belonging, and how brands can respond by adding new chapters to culture rather than replaying old scenes.
Brands used to assume that if the numbers added up, the story would fall into place. The cases of Gucci, Nike, and Temu show the opposite is now true. Each looked structurally sound on paper, yet their business models began to erode as soon as culture stopped believing the myths that made those models feel legitimate. Heritage no longer guarantees authority, scale no longer guarantees centrality, and price no longer guarantees permission. Strategy can still tell you where value sits and how to pursue it. It cannot tell you whether anyone will still grant you the right to matter. That now depends on whether your narrative system matches the world people actually live in.
Physical spaces are not neutral settings. Our offices, kitchens, parks, malls, movie theaters, and classrooms, all tell us who belongs, what behavior is expected. They are narrative systems, not just built environments. Every layout, threshold, queue, sign, fixture, and seat rehearses a version of the future.This is one of the central arguments of our new book Story Systems and Cultural Research. Culture does not change only through new technologies, policies, or markets. It changes through the stories that organize behavior and make certain futures feel possible. When we learn to read those stories, we design more intentionally. Narrative systems help us move beyond trend language and ask a better question: what should future spaces help people become capable of doing together?I
Most of what we call “looking ahead” is really a mirror turned back on ourselves. Companies hire experts, build models, deploy AI to forecast markets and manage risk, but beneath the charts sit unspoken stories about who matters, who is expendable, and what “progress” is supposed to look like. In a time of conspiratorial thinking, wounded publics, and machine generated predictions, those stories harden into priors that shape what leaders even recognise as plausible. Machines don’t yawn. We do. The danger is not that we use probability, but that we mistake it for something neutral, disembodied, and somehow above culture. The work now is to treat intelligence systems as fast instruments for laying out the pieces, while we relearn how to see, question, and rearrange them together as humans who still yawn, hesitate, and change our minds.
We are living through a moment when “it was just a joke” has become a default way of speaking about serious things, from AI and product launches to corporate apologies and national policy. The old figure of the jester, who once used humor to tell hard truths to power, has been inverted: power now borrows the jester’s stance to float disruptive ideas, test public tolerance, and retreat into irony when challenged. At the same time, ordinary people rely on jokes and memes to cope with systems they no longer trust, turning contradictions into content that is instantly recognized but rarely resolved. The result is not a shortage of insight, but an inability to hold any single insight long enough for it to change how we act, leaving innovation, governance, and public discourse suspended in a loop of continuous exposure without commitment.
The mood of 2026 is friction at the surface. Reforms stall. Institutions grow brittle. Feeds fill with minor ruptures that never quite resolve. People talk about uncertainty, burnout, quiet cracking, but these are not abstract signals buried beneath events. They appear in work chats, neighborhood group texts, mutual-aid spreadsheets, and the steady accumulation of small adaptations. In that kind of world, the reassuring clarity of the iceberg begins to fail. When so much of the deeper story is already visible in the ways people improvise their lives, the task is less to dive for hidden truths than to learn how to read what is already in front of us.That is the working premise behind Story Systems and Cultural Research. In a recent workshop, a conversation about why foresight so often feels detached from culture brought us back to the relationship between Causal Layered Analysis and Culture Mapping: one clarifies how an issue is framed, the other shows where different stories already live and how they move. Taken together, they suggest that culture is not a submerged mass beneath events, but a moving field of narratives circulating across institutions, publics, and subcultures. The book traces how residual, dominant, emergent, and disruptive codes travel across that field, and how some narratives quietly harden into common sense while others register coming fractures. It asks how researchers, designers, and strategists can learn to read those patterns without falling back on trend lists or timeless archetypes.
Loneliness today is less a simple lack of company than a breakdown in shared meaning about what it means to be connected. Individuals move through days saturated with notifications, group chats, and parasocial ties yet feel unseen, because contact no longer guarantees recognition or obligation. Publicly, the experience is translated into shorthand complaints about busyness, missing “third places,” or being “chronically online,” while institutions reduce it to metrics like interaction frequency or screen time, counting what is visible but missing whether anyone truly holds anyone else in mind. This gap between private feeling and public criteria leads to misdiagnosis, blaming individuals for a structural problem shaped by precarious work, eroded communal spaces, and platforms built for visibility rather than reciprocity. Addressing the crisis requires redesigning the social rules and rituals that define when a relationship counts, so that connection once again names something people can both feel internally and recognize together.
The mood of 2026 is friction at the surface. Reforms stall. Institutions grow brittle. Feeds fill with minor ruptures that never quite resolve. People talk about uncertainty, burnout, quiet cracking, but these are not abstract signals buried beneath events. They appear in work chats, neighborhood group texts, mutual-aid spreadsheets, and the steady accumulation of small adaptations. In that kind of world, the reassuring clarity of the iceberg begins to fail. When so much of the deeper story is already visible in the ways people improvise their lives, the task is less to dive for hidden truths than to learn how to read what is already in front of us.That is the working premise behind Story Systems and Cultural Research. In a recent workshop, a conversation about why foresight so often feels detached from culture brought us back to the relationship between Causal Layered Analysis and Culture Mapping: one clarifies how an issue is framed, the other shows where different stories already live and how they move. Taken together, they suggest that culture is not a submerged mass beneath events, but a moving field of narratives circulating across institutions, publics, and subcultures. The book traces how residual, dominant, emergent, and disruptive codes travel across that field, and how some narratives quietly harden into common sense while others register coming fractures. It asks how researchers, designers, and strategists can learn to read those patterns without falling back on trend lists or timeless archetypes.
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