The entry point into the data field is becoming more challenging for new graduates due to automation and Gen AI.CTOs are empowering senior data team members with Gen AI, impacting tasks previously assigned to juniors.Benefits of using Gen AI include immediate efficiency, cost management, and reduced supervisory load perception.The trend may lead organizations to consolidate tasks among senior staff, diminishing the need for a large junior pool.As an educator, the challenge is to equip graduates with skills complementary to AI and focused on higher-order value.Junior talent must demonstrate irreplaceable value beyond what seniors can achieve with AI.Structuring junior roles differently, focusing on AI model curation, exploratory data analysis, and niche expertise, is crucial.Companies need to invest in a smaller, more skilled junior pipeline for future leadership.A radical curriculum overhaul is needed to emphasize critical reasoning, AI ethics, and fostering adaptability.Graduates must be able to creatively extend AI capabilities, combine tools, and apply them to novel problems.