AI圈“普通人上岸指南”，走对4条路，草根也能成大佬

Core Insights - The AI industry remains a hot career choice, but many individuals entering the field are feeling anxious about their readiness and skills [1][2][30] - A significant increase in the number of people listing AI skills on their resumes has been observed, with an 80% growth over the past three years [10] - The requirement for formal education in AI-related positions has decreased by approximately 15%, while the salary premium for AI skills has increased by about 23% [10] Group 1: Entry Paths into AI - Four main pathways to enter the AI industry have been identified: graduating into the field, transitioning from other careers, internal company shifts, and self-learning [13] - Graduates who engaged with AI during their studies have the smoothest transitions, often securing job offers before graduation [14][15] - Individuals transitioning from non-technical fields leverage their existing skills to enter AI roles, emphasizing the importance of business understanding over technical expertise [16][18] - Internal transitions within companies allow employees to shift to AI departments, which can be a lower-risk option for career advancement [20] - Self-learners often create portfolios to showcase their skills, which can lead to job opportunities despite initial rejections [22] Group 2: Mindset and Approach - Many successful entrants into the AI field did not wait until they felt fully prepared; instead, they took action and learned along the way [9][11] - The common theme among these individuals is the willingness to start experimenting and learning through doing, rather than waiting for the perfect moment [23][30] - The AI industry is characterized by rapid changes, and the ability to adapt and take initiative is more critical than having all the answers [31][33]