Core Viewpoint - The article emphasizes that the current AI trend is not primarily about technological advancement but rather about exploiting people's anxieties related to the trend, leading to a market for quick-fix solutions and courses [5][6][12]. Group 1: AI Trend and Market Dynamics - The initial response to the AI boom has been dominated by those selling courses and concepts rather than actual applications or industry upgrades [6][7]. - Advertisements promoting quick mastery of AI skills are prevalent, creating a sense of urgency and fear of missing out among individuals [8][9]. - The article suggests that the fear of being left behind drives many to invest in these courses, often without a clear understanding of their value [9][12]. Group 2: Business Model Analysis - The article outlines a business model that capitalizes on fear and anxiety, starting with defining fears related to AI and then creating a sense of shame for not keeping up [19][24]. - This model involves selling shortcuts and simplifying complex issues into easy-to-digest solutions, which can mislead consumers into thinking they are prepared for the future [28][34]. - Ultimately, the focus is on managing emotions rather than providing substantial knowledge or solutions [37][38]. Group 3: Consumer Behavior and Decision-Making - Many consumers are driven by a desire to act rather than a genuine interest in learning, often purchasing courses for psychological comfort rather than educational value [41][42]. - The article highlights that entrepreneurs often confuse surface-level actions with meaningful progress, leading to a lack of real change in their businesses [45][48]. - The tendency to seek quick answers can result in superficial engagement with complex issues, which is detrimental to long-term success [49][73]. Group 4: Entrepreneurial Weaknesses - The article identifies three key weaknesses among entrepreneurs: urgency, superficiality, and laziness, which can lead to poor decision-making in the face of new trends [60][72]. - Entrepreneurs often rush to adopt new trends without fully understanding their implications for their businesses, resulting in wasted resources [62][69]. - The desire for quick solutions can prevent meaningful organizational change, as true progress requires addressing deeper issues within the business [73][75]. Group 5: Importance of Judgment - The article stresses the need for entrepreneurs to develop judgment skills to differentiate between genuine opportunities and those that exploit anxiety [78][85]. - It suggests that the ability to critically assess information and make informed decisions is more valuable than simply acquiring knowledge through courses [86][90]. - Ultimately, maintaining clarity and judgment in a chaotic environment is essential for long-term success in the face of technological change [97][102].

Group 1 - The core viewpoint of the article emphasizes that the value of cognitive labor has shifted significantly in the AI era, where traditional metrics of effort and knowledge are no longer sufficient for success [2][3][5] - The new formula for effective decision-making in a complex environment is now based on cognitive structure, judgment ability, and responsibility, rather than merely completing tasks [6][22] - Low cognitive labor is characterized by three structural deficiencies: lack of structural understanding, lack of judgment ability, and inability to take cognitive responsibility [8][9][10] Group 2 - AI is not merely replacing jobs but is consuming low cognitive areas, excelling in tasks such as information organization and template-based analysis [14][15][16] - In complex systems, low cognitive labor can even create negative value, leading to structural inefficiencies and misinterpretations of uncertainty [17][18][20] - Individuals who retain irreplaceable value in the AI era possess a complete feedback loop: positioning, judgment, accountability, and model updating, which AI cannot replicate [21][22][24] Group 3 - The valuation of cognitive labor is transitioning from a headcount model to a focus on cognitive nodes, indicating that a single clear cognitive node can outperform a low cognitive density team [23][24] - The article argues that this shift is not a reflection of coldness but rather a structural reality where value judgments are increasingly based on cognitive capability rather than effort or tenure [25][26][28]