Hiring junior developers is often seen as a costly gamble, especially with the pressures of AI transforming the landscape. Many companies are reacting by cutting junior positions or internship programs, believing they're too expensive and unproductive. However, the author argues that managing juniors effectively for learning rather than immediate output can change the dynamics of this investment. The concept of the "valley of regret" illustrates the risks associated with hiring juniors. Typically, companies see high turnover rates, with around 20% leaving annually. Traditional ramp-up times of 24 months mean that 36% of juniors might leave before becoming net positive contributors. By compressing that ramp to nine months, the failure rate drops to 15%. This shift not only accelerates productivity but also increases the chances of juniors reaching profitability before leaving. AI coding assistants can help juniors learn faster and more effectively. Instead of struggling through extensive research or trial and error, juniors can leverage AI tools to quickly evaluate options and focus on deepening their understanding. This method promotes a culture of continuous learning, leading to juniors who not only become productive but also mentor others and contribute to team knowledge. The article emphasizes that investment in AI tools is essential for making junior hires more viable, as it requires intentional strategies for integrating these tools into learning processes.