Eliminating entry-level roles to automate junior tasks is counterproductive. This pipeline provides the young, enthusiastic power users who are essential for driving AI adoption. It also breaks the apprenticeship model crucial for developing future senior expertise within the company.

The immense cost of AI compute is being offset by a strategic shift: eliminating junior-level positions across tech, sales, and support. This "death of the junior" trend frees up budget for data centers but risks creating a severe talent gap in the coming years as the pipeline of experienced mid-level professionals dries up.

A key concern is that AI will automate tasks done by entry-level workers, reducing hiring for these roles. This poses a long-term strategic risk for companies, as they may fail to develop a pipeline of future managers who learn foundational skills early in their careers.

In a radical shift, LinkedIn is ending its traditional Associate Product Manager (APM) program. It's being replaced by an Associate Product Builder (APB) program where new hires are trained from day one in coding, design, and product management, reflecting the move toward a consolidated, AI-powered builder role.

The current PM career path is flawed, driven by framework obsession, advice from inexperienced creators, and a premature rush to leadership. This creates "strategy theatre" where leaders lack foundational experience, perpetuating a cycle of ineffectiveness and contributing to the craft's demise.

By automating entry-level software engineering tasks, AI companies are eliminating the traditional training ground for future leaders. Without a pipeline of junior talent to develop, the industry faces a long-term crisis of where to source its next generation of senior engineers.

Don't wait for a senior title to think strategically. Junior PMs should stretch beyond pure delivery and engage with customer discovery, business context, and pain points to build the strategic skills necessary for advancement.

When companies remove the middle management layer, they also eliminate the primary path for career progression and mentorship for individual contributors. This lack of a clear future within the organization is a major, often overlooked, driver of high turnover, especially among younger employees.

AI tools are now performing tasks historically assigned to junior PMs, such as competitive research and meeting notes. This automation is reducing corporate demand for entry-level product talent, making it harder for aspiring PMs to enter the field through traditional paths.