AI越普及，打工人越忙

Group 1 - The core viewpoint of the article highlights that while AI is perceived as a tool for efficiency, it has paradoxically led to increased workloads and faster-paced work environments for employees [4][6][8] - A study by the National Bureau of Economic Research (NBER) indicates that for every 1 percentile increase in AI exposure, weekly working hours increase by 0.063 hours, while leisure time decreases by 0.064 hours [4] - The article discusses the phenomenon of employees feeling overwhelmed and trapped in a relentless "acceleration race," where project timelines are shortened and competition intensifies [6][7] Group 2 - The article features the experiences of mid-level employees like Leon, who find themselves cleaning up the mess left by AI-generated outputs, leading to a shift in their roles from creative contributors to quality controllers [10][15] - Leon's observations reveal that the influx of AI-generated content has resulted in a significant increase in the time required for creative review, transforming his job into one of filtering and correcting AI outputs [17][18] - The article also notes that the advertising industry is facing a decline in creative standards and professional barriers due to the reliance on AI, which threatens the foundational skills of new entrants [20][26] Group 3 - The article presents the case of Zhang Xinxin, an algorithm manager at an AI medical startup, who embraces the increased workload brought on by AI, viewing it as an opportunity for personal and professional growth [30][33] - Xinxin's experience illustrates how AI has allowed her to significantly accelerate project timelines, enabling her to take on more responsibilities and achieve higher performance metrics [35][39] - The narrative emphasizes that those who effectively leverage AI tools are likely to outperform their peers who do not, highlighting a competitive edge in the workforce [40] Group 4 - The article discusses the perspective of Tang Chengjia, an e-commerce entrepreneur who invested heavily in building an AI team to survive in a declining market, emphasizing the necessity of AI for business sustainability [42][44] - Tang's company underwent a significant reduction in workforce while maintaining operational efficiency, showcasing the transformative impact of AI on business structures and labor costs [50] - The shift towards hiring fresh graduates who can quickly adapt to AI tools reflects a broader trend in the industry, where traditional skills are being overshadowed by the ability to utilize AI effectively [53][55]