TELECURSO DA MODA 05 | tendências comportamentais, IA e a cultura de recessão

Summary

The presenter connects recession-era consumer behavior, cultural trends, brand strategy, and AI. Her central business point is that brands can create value not only through expensive or exclusive products, but also through relevance, storytelling, sensory experience, and a coherent relationship with the communities they serve.

Business and consumer trends

• “Little treats” in a constrained economy: When consumers cannot afford travel, major purchases, or frequent restaurant visits, they may still spend on smaller indulgences—such as makeup, a drink, fragrance, or decorative stickers. These purchases offer an affordable sense of pleasure or escape.
• Everyday activities becoming status signals: Grocery shopping and food culture can take on luxury associations. The presenter cautions that branding and exclusivity cannot compensate for poor fundamentals: a retail concept still needs safe, reliable operations and compliance with sanitation standards.
• Luxury shifting toward experience and meaning: The VML examples discussed suggest that modern luxury can come from elevating familiar things—such as water, food-inspired fragrance, or everyday retail touchpoints—through storytelling and immersive execution, rather than relying only on rare materials or overt displays of wealth.
• Nostalgia and “cute” culture: Kawaii-inspired products, character merchandise, bag charms, and nostalgic packaging may offer comfort amid uncertainty. The presenter stresses that brands should not assume these behaviors are merely short-lived fads or interpret them through a single region’s cultural lens.
• Authenticity and cultural context: Trends can mean different things in different markets. Businesses should distinguish between what is genuinely new to a particular audience and what has long been part of another culture.

Frameworks and playbooks

Brand culture framework

• Visual culture: The exchange is instant recognition, spread through visual assets and memes. Its outputs include a recognizable aesthetic and audience recognition. Overuse can make a brand feel stale or reduce its desirability.
• Social culture: The exchange is participation in a ritual or shared routine. It can build connection and community over time. Its vulnerability is inconsistency: a brand can lose trust if its actions contradict its stated values.
• Practical takeaway: Decide whether a campaign is primarily designed to create recognition or to build recurring participation and community, then ensure the execution matches that objective.

Cultural insight and research

• Cultural insight as a product-development input: The example of a dating app for readers illustrates a process of identifying a specific audience’s behavior and unmet need, then designing around it. The cultural consultant’s insight was that readers may enjoy bookstores but feel uncomfortable approaching strangers there; an app could create a more suitable way to connect.
• Trend research through a broad “repertoire”: The presenter recommends building an informed perspective through newsletters, reports, industry peers, and cultural commentators—not relying on one social platform or algorithm. She describes this as allowing ideas from different sources to connect while still organizing the resulting information.

AI and human-centered execution

The presenter argues that AI products and recommendation systems are shaped by people and trained on data. Businesses should therefore consider data use, social responsibility, and the human consequences of deploying AI—not treat the technology as neutral or autonomous.

Examples and recommendations

• Luxury hydration: The VML article’s Water Bar example at a Diptyque flagship store illustrates how a basic product category can be reframed through retail experience and luxury positioning.
• Food-inspired fragrance: Beetroot, tomato, carrot, and other familiar ingredients can support a story of nature, authenticity, and sensory connection. The product’s appeal depends on the brand world and experience built around it, not just the ingredient.
• Retail execution: An exclusive grocery-market concept reportedly failed within less than a year after problems including high prices, exclusionary positioning, and food-safety issues. The lesson is that operational basics must support the brand promise.
• Cultural products: Hello Kitty, Barbie, Polly Pocket, and character accessories illustrate how nostalgia can recur across generations. Brands should research local cultural meanings rather than dismissing a trend as over simply because it has peaked in another market.

The presenter’s recommendations are to:

• Look for the consumer needs behind trends, such as comfort, affordability, identity, community, or sensory pleasure.
• Make everyday products or interactions feel meaningful without relying exclusively on premium pricing.
• Build cultural relevance through consistent behavior, not just campaign imagery.
• Use culturally informed research when designing products and services for a specific audience.
• Treat AI-driven personalization and trend mechanics as data and responsibility questions, as well as marketing opportunities.
• Preserve a human voice in business and content, avoiding an overly polished or algorithmically templated feel.

Metrics and timelines

• The video gives no revenue, margin, CAC, LTV, churn, or growth targets.
• The presenter notes that a featured VML article was dated September 3 and that she was recording on September 13. She refers to the reader-focused dating app as launching around the week of September 10.
• A claim that AI could harm communities by 2030 is relayed as part of the public debate; it is not presented as a business KPI or an independently substantiated finding in the video.

Presenters and sources mentioned

Presenter: Mel, from the Telecurso da Moda channel.

Sources and people discussed: VML articles on luxury hydration, niche fragrance, kawaii and cute culture, and Cannes Lions trends; Studio Nemesis and founder Emily Segal; Juliana Salazar; the reader-focused dating app Readme; Emily Oberg of Sporty & Rich; and commentary about TikTok, Meta, AI, and data practices.