Core Insights - The operational roles in companies are facing unprecedented challenges and opportunities due to the digital transformation, with over 50% of operational professionals actively seeking skill upgrades or cross-industry transitions to adapt to automation and AI impacts [1][3] - The urgency for role transformation and self-improvement is particularly pronounced in the operational field, as traditional operational models lose competitiveness and the demand for multi-skilled operational talent continues to grow [3][4] Current Status and Urgency of Transformation - Traditional operational roles are increasingly being replaced by automation tools, leading to a decline in the demand for basic operational tasks, which has dropped to single-digit growth rates over the past three years [3] - A significant skills gap exists, with only about 30% of employees in a leading internet company able to independently use AI tools to optimize workflows, highlighting the need for proactive skill upgrade planning [3][4] Core Skill Enhancement Directions - The demand for operational skills is evolving from single-specialty capabilities to multi-dimensional competencies, with three key areas identified for self-improvement: 1. Data analysis and AI application skills, requiring knowledge of statistics and tools like Python and SQL [6][8] 2. Cross-department collaboration and project management skills, which can increase project success rates by approximately 40% when certified [14] 3. Industry insight and business thinking, essential for understanding industry dynamics and profitability [14][15] Practical Paths and Strategies for Cross-Industry Transition - Successful role transitions require systematic planning, including skills mapping and gap identification, which can reduce the time to adapt to new roles by about 50% [15][16] - A gradual learning approach is recommended, focusing 70% on practical projects, 20% on feedback, and 10% on theoretical learning, to effectively build credible capabilities [16][19] Future Outlook and Continuous Growth Recommendations - By the end of 2025, it is predicted that over 60% of operational roles will involve the use or management of AI tools, necessitating a deeper understanding of the underlying technology and ethical considerations [20][22] - Continuous learning and regular skill matrix evaluations are advised, with data indicating that those who update their knowledge structure regularly can achieve salary growth approximately 25% higher than their peers [20][22]