Perceived online trends are often amplified by journalists' personal algorithms, creating a feedback loop where niche content is reported as a widespread phenomenon. Quantitative analysis often reveals these 'trends' are just a loud minority, not a reflection of the general population's sentiment.
Society has shifted from a shared monoculture to a "pluriculture" of fragmented online enclaves. These groups develop their own languages and norms ("speciation"). When terms break containment and go mainstream, the lack of shared context leads to widespread miscommunication, a phenomenon termed "babalification."
As bots dominate internet traffic, content creators face "machinic capture," optimizing for AI agents, not just humans and algorithms. This will give rise to "machinic taste"—aesthetic preferences defined by agent-to-agent interactions, revealing what an AI-driven culture finds compelling, independent of human preferences.
New aesthetics flourish in micro-communities but rarely achieve mass adoption because culture industries are "financialized." Media companies prioritize low-risk, predictable returns—like movie sequels or artists with existing followings—which stifles novel, unproven creative work from reaching a broader audience.
The modern concept of "taste" originated in 17th-century England not just as aesthetic preference, but as a moral guide for a new elite to manage unprecedented wealth and prevent societal decay. Today, taste re-emerges as a crucial framework for navigating the abundance of information and AI-driven content.
A significant public perception gap exists around AI. As a broad concept, "AI" is feared due to job displacement concerns. Yet, specific AI tools like chatbots are widely adopted and loved for their daily utility. This highlights a critical branding and communication challenge for the industry: the fear of the abstract versus the love of the concrete.
Cultural identity is shifting from being based on nationality to being defined by the primary social media platform a person uses. Each platform has a distinct culture, humor, and vernacular that shapes users' real-world behavior and communication style, making platform affiliation a primary cultural signifier.
