Many people who lack professional skills think that by using AI they can do professional work. This is like some people who can use a hammer and therefore believe they are a craftsman.
In fact, there’s a core issue here: the difference between upper and lower limits. Knowing how to use a hammer only represents the lower limit. What truly allows you to become a craftsman is professional competence.
Today, many people use AI to work—generate PowerPoint slides, create business plans, and draft work schedules. But these people don’t have the ability to read information effectively, nor do they have the ability to identify problems and formulate questions.
So when AI produces content for them, a major issue arises: it becomes too abstract. Why is it abstract? Because when conducting business activities, you actually need certain dimensions of information—but you don’t need all dimensions.
However, large language models often add irrelevant information dimensions into the business model you’re trying to build. This creates a problem: time and cost.
So sometimes, when you use a large model to create a plan, you find the timeline is very long and the cost is very high. You can clearly feel that it’s not concrete enough, not explicit enough—perhaps even completely unexecutable.
So what’s needed today is not just people who use AI, but people who have professional competence and can use AI as well. In other words, people who can use AI to raise the ceiling—not just those who know how to use a hammer.$BTC
In fact, there’s a core issue here: the difference between upper and lower limits. Knowing how to use a hammer only represents the lower limit. What truly allows you to become a craftsman is professional competence.
Today, many people use AI to work—generate PowerPoint slides, create business plans, and draft work schedules. But these people don’t have the ability to read information effectively, nor do they have the ability to identify problems and formulate questions.
So when AI produces content for them, a major issue arises: it becomes too abstract. Why is it abstract? Because when conducting business activities, you actually need certain dimensions of information—but you don’t need all dimensions.
However, large language models often add irrelevant information dimensions into the business model you’re trying to build. This creates a problem: time and cost.
So sometimes, when you use a large model to create a plan, you find the timeline is very long and the cost is very high. You can clearly feel that it’s not concrete enough, not explicit enough—perhaps even completely unexecutable.
So what’s needed today is not just people who use AI, but people who have professional competence and can use AI as well. In other words, people who can use AI to raise the ceiling—not just those who know how to use a hammer.$BTC