AI Integration: More Than Just Mixing Ingredients

The concept of "AI integration" is often misunderstood, with many companies merely applying AI tools to existing processes instead of achieving true fusion. This superficial approach is likened to mixing ingredients in a pot without allowing them to cook and meld into a new dish. For instance, using an AI chatbot to write a report is seen as outsourcing the task, not as a genuine integration of AI into the core of writing and planning.

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AI integration is about changing the system of an organization and individuals to fit the AI environment, but its essence lies in the fusion of specialized domains and AI.

The article argues that true integration requires the fundamental nature of one domain to meet the fundamental nature of another, leading to the creation of something entirely new. This deeper process is essential for meaningful AI adoption. Simply applying AI to a specific field or using it to automate tasks does not constitute this deeper level of fusion.

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Mixing meat, vegetables, and seasoning in one pot does not automatically make a delicious stew. Only when the ingredients simmer together, undergoing chemical reactions through heat and time to create a savory flavor unattainable by any single ingredient, does it truly become a dish.

The author emphasizes that the current state of "AI integration" in society resembles merely putting ingredients together in a single pot. The crucial step of allowing these elements to interact through processes like heating and time, which leads to chemical reactions and the development of complex flavors, is missing. This analogy highlights the gap between superficial AI application and the profound transformation that true integration promises.

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Writing a report with an AI chatbot in a company is not integration; it is entrusting writing and planning to AI.