The verification tax replaces the apprenticeship model

At the consulting firm Futurety, the CEO replaced a summer intern with ChatGPT for social-media copy, while Grindr has shifted its hiring preference toward seasoned engineers over recent graduates (Tanya Puri from PurInsights). This trend reflects a broader contraction in entry-level opportunities, with SignalFire reporting that new-graduate hiring at 12 large technology companies is roughly 65% below 2019 levels. As AI automates routine tasks, the traditional apprenticeship model—where juniors learn by performing basic work—is fraying. Researchers at Stanford’s Digital Economy Lab found that employment among workers aged 22–25 in AI-exposed roles was 19% below expected levels, a divergence driven by reduced hiring rather than increased departures.

Developers are now paying a 'verification tax,' with 54% of US software professionals reporting that AI negatively affects their career progression by replacing hands-on coding with AI-agent management (Consultant Magazine). While AI can boost productivity for novice support agents by 14% (Bitcoin Fortress Newsletter), the reliance on automation threatens foundational skill development. As Roggiero J. Spillere notes, "The answer is instant. Judgment still takes work." (Roggiero J. Spillere from Reflections on Policy, Economics, and…). When the cost of generating fluent reports or financial models approaches zero, the value of the output diminishes, leaving the human worker responsible for evaluating whether the machine-generated result is correct, relevant, and appropriate for the specific business context.