AI Is Eroding Junior Roles... And Commodification Explains Why

Why It Matters

This dynamic reshapes labor markets by accelerating the substitution of routine work and increasing premiums for expert-AI collaboration, with implications for hiring, training, and inequality across industries. Employers, workers and policymakers must prioritize upskilling and job design to protect wages and capture AI-driven productivity gains.

Summary

A recent LSE study suggests the decline in junior hires predates generative AI, tracing early pulling-back to remote work which limits supervision and makes firms prefer automation. On fully online freelancing platforms like Upwork and Fiverr, generative AI produced mixed effects: some freelancers lost jobs and saw wages fall, while others—especially those who paired AI with specialized expertise—saw demand and pay rise. The speaker argues commodification explains the divergence: routine, easily packaged tasks are most exposed to AI substitution, whereas expert work that can leverage AI as a tool becomes more valuable. The policy and business prescription is to move workers away from commodifiable tasks and toward expert roles that complement AI.

Original Description

The OII's Dr Fabian Stephany reflects on a recent LSE study that explored the relationship between remote work and AI automation pressure on specific job roles. Dr Stephany adds insights from his own work, arguing that the more commodifiable your work is, the more likely you will be competing with AI. On the flip side, for experts working in lockstep with AI and prioritising delivering their unique expertise, work quality and wages are likely to increase.