Core Insights - The article discusses the pitfalls of trying to optimize AI by imposing human knowledge and rules, which can lead to a degradation of the AI's capabilities [2][4][5] - It emphasizes the importance of providing AI with high-quality, exclusive data rather than attempting to teach it how to think [6][12][33] - The concept of "intelligent first" is introduced, suggesting a paradigm shift where AI is seen as the central intelligence in business operations, rather than a tool to follow predefined processes [36][39] Group 1: AI Optimization Pitfalls - The attempt to enhance AI performance through human knowledge and prompts can actually harm its general intelligence [2][4] - Imposing rigid rules on AI limits its creative potential and can result in a product that is ultimately "not useful" [4][24] - The rapid advancement of general models like search engines exacerbates the risks of "intelligent degradation" [5] Group 2: Strategies for Effective AI Utilization - To avoid "intelligent degradation," the focus should be on providing AI with relevant materials and context rather than teaching it how to think [6][12] - Companies should leverage their unique internal data as a competitive advantage, allowing AI to access and analyze this information effectively [7][9][10] - A successful AI implementation requires a robust data infrastructure that connects various internal data sources, creating a comprehensive knowledge base [27][33] Group 3: Successful vs. Unsuccessful AI Implementations - The article contrasts two types of AI products: "workflow AI," which is inflexible and contextually limited, and "context platforms" like Glean, which integrate diverse data sources [20][26] - Glean exemplifies a successful model by ensuring that AI can access all relevant company data, enabling it to provide insightful analyses without predefined processes [26][33] - The future of AI in business is envisioned as a system where AI autonomously operates based on defined goals, context, and tools, reducing the need for human intervention in routine tasks [39][44]