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As HR practitioners navigate the many implications of AI for the workplace and the future of work, this newly released report by Stanford’s Institute for Human-Centered AI provides one of the most comprehensive independent reviews of AI’s trajectory available. While there is much to unpack in this 400+ page report, one topic I want to expand on is AI’s impact on early-career employment and what this means for future leadership pipelines. One finding is that early-career workers in AI-exposed roles such as software development and customer support have experienced meaningful employment declines, while mid-career and senior workers in those same roles have held steady or grown. This is an important finding, given that entry-level roles help people build tacit knowledge, judgment, and the leadership capability that senior roles eventually require. Organizations that automate away entry-level positions without rethinking early-career talent strategies are likely to find their leadership pipelines weakening in the years to come. A few weeks back, I pointed out how IBM is taking a different approach, announcing plans to triple its U.S. entry-level hiring in 2026 and redesign junior roles around judgment, oversight, and customer engagement rather than routine tasks that AI now handles. Reflection: How is AI changing early-career roles in your organization? Do you have a strategy for redefining them before the pipeline gap shows up in your leadership bench?
