The First Rung

An entry-level job is often more than a list of tasks. It is where people learn to recognise exceptions, ask for help, correct mistakes and acquire tacit knowledge. If AI tools automate or reduce some junior activities, the effect may also concern how organisations build experience. A new Stanford study offers a signal to watch, with important caveats.

In the version revised in August 2026, Brynjolfsson, Chandar and Chen analyse ADP administrative payroll data covering millions of US workers through June 2026. The authors report that employment for 22–25-year-olds in AI-exposed occupations is 19% below where it would have been had it followed the trajectory of peers in less-exposed occupations.

This comparison does not mean that AI eliminated 19% of jobs. It is a gap against an estimated benchmark trajectory. The authors find no widespread displacement across the whole economy and describe the evidence as early and non-causal. The divergence appears mainly as weaker hiring growth, rather than a wave of layoffs. It is stronger in occupations where AI can substitute for parts of the work and does not appear in the same way in complementary occupations.

This caution matters: economic changes, sample composition and existing trends may contribute to the result. The study concerns the United States and cannot be transferred directly to the Italian or European labour market.

The organisational reading is a hypothesis, not a result measured by the paper. Many professions are learned through progressive tasks: a junior prepares analysis, observes decisions, receives corrections and gradually takes on greater responsibility. Automating entry-level work may improve efficiency in the short term while reducing opportunities for experience to be passed on.

That does not mean every junior task should be preserved unchanged. Employers can redesign apprenticeships: delegate repetitive parts to AI, retain activities that develop judgement and teach new professionals to check automated outputs. Senior employees’ tacit knowledge can be shared through mentoring and documentation, without assuming it can be captured entirely in a database.

If AI performs some of the tasks through which people built experience, what new pathways will help tomorrow’s professionals develop? For HR and functional leaders, monitoring junior hiring may also be a way to assess the organisation’s future capability.

The 19% figure is a comparison with a trajectory estimated by the authors in the ADP sample. The researchers describe the work as descriptive and do not causally attribute the gap to AI. The “missing rung” is an editorial interpretation to be tested in longitudinal research and European contexts.