Why Taste Will Always Be a Strong Business Model

Why It Matters

As AI makes content creation virtually free, the scarcity shifts from supply to trusted judgment, turning taste into a decisive competitive advantage for media, brands, and the $250 billion creator economy.

Key Takeaways

• Generative AI drives content abundance, boosting demand for human taste curators
• AI can automate facts, but opinions and judgment remain uniquely human
• Past tech waves created new taste infrastructure; AI era needs new models
• Lokol aims to embed tastemakers’ recommendations directly into purchase moments
• The $250 billion creator economy relies on trusted curation for sales

Pulse Analysis

The rise of generative AI has turned the media landscape into an endless well of free content, but abundance does not equal quality. Decision‑makers now face a flood of articles, videos, and music that are technically correct yet lack the nuanced perspective that only seasoned curators provide. This creates a premium market for "taste"—the human ability to sift signal from noise, apply cultural context, and make bold recommendations. Companies that can embed this judgment into their products gain a durable moat, as consumers increasingly seek trusted voices to navigate the overload.

Historically, each technological wave reshaped how taste is delivered: gatekeepers once controlled access, digital curators democratized it, and algorithmic feeds automated recommendations at scale. Yet algorithms prioritize engagement metrics over genuine discernment, often flattening diverse opinions into homogenized feeds. The current AI era intensifies this tension: large language models can summarize facts instantly, but they lack the lived experience and personal stake that give taste its credibility. As a result, creators and editors risk having their expertise harvested as training data without compensation, eroding the economic foundation of the creator economy.

Enter the next generation of taste infrastructure. Startups like lokol are experimenting with models that let curators license their judgment directly into AI‑driven discovery tools, preserving brand voice and attribution while scaling reach. By turning individual taste into a portable, monetizable asset, these platforms aim to keep the curator at the center of the decision‑making loop rather than relegating them to the background of generic recommendation engines. For businesses, investing in such infrastructure means safeguarding a critical competitive edge—trusted curation—while unlocking new revenue streams in an AI‑saturated market.