In the AI Era, Data is the New Oil: How Can We Ordinary People Go from Exploration to Selling Gasoline?
The article reinterprets the popular metaphor "data is the new oil" for the AI era, arguing that it is not just relevant for tech giants but also actionable for ordinary individuals. It breaks down the process into a practical framework mirroring the oil industry: exploration (finding data), refining (processing data), and selling (monetizing outputs).
For exploration, individuals should tap into two types of "oil fields": personal private data (e.g., work notes, emails, decision logs) and public data sources (e.g., articles, podcasts, social media), while avoiding low-quality AI-generated content. The refining stage involves using AI tools (like ChatGPT or Gemini) not as ends in themselves but as part of a broader "refinery"—a personal system of methodologies, prompts, and workflows.
The final and most challenging step is monetization: AI outputs are often non-standard (e.g., custom scripts, reports, or advice) and require identifying a target audience—whether for personal use, businesses, or consumers. The article also emphasizes the need for "environmental cleanup" to avoid digital clutter, outdated tools, and unnecessary subscriptions.
Ultimately, it urges readers to focus on building their own data reserves, refining processes, and defining their "gas station" (distribution channel) rather than being passive consumers of AI hype.
marsbit01/19 11:08
