---
id: "question-entry-level-competence"
type: "open-question"
source_timestamps: ["§ Competence."]
tags: ["workforce-development", "future-of-work"]
related: ["concept-psychological-needs-triad", "quote-entry-level-competence", "entity-danny-tolli"]
resolutionPath: "Requires longitudinal studies on new apprenticeship models and redesigned entry-level roles that focus on AI auditing and prompt engineering rather than raw production."
sources: ["adoption"]
sourceVaultSlug: "hbr-seg-adoption"
originDay: 9
articleStem: "hbr-sig-52-genai-threatening-to-workers"
sourceUrl: "https://hbr.org/2026/03/why-gen-ai-feels-so-threatening-to-workers"
sourceTitle: "Why Gen AI Feels So Threatening to Workers"
---
# How Will Future Workers Build Competence If Entry-Level Tasks Are Automated?

**Open question:** In fields like screenwriting or software engineering, competence is traditionally built through accumulated experience on routine, entry-level tasks. If Gen AI replaces these tasks, the pathway for younger generations to acquire credibility and expertise is **severed**. The article highlights this fear (see [[quote-entry-level-competence]] from [[entity-danny-tolli]]) but does not provide a definitive solution for restructuring career ladders. It threatens the **competence** leg of the [[concept-psychological-needs-triad]].

**Resolution path:** Requires longitudinal studies on new apprenticeship models and redesigned entry-level roles focused on **AI auditing and prompt engineering** rather than raw production.

**Enrichment note:** Economic and labor research acknowledges automation may erode traditional training-ground tasks; there is active discussion but limited hard data on replacement pathways, and longitudinal evidence is scarce — the article correctly flags this as unresolved. A **counter-perspective** worth holding: some research suggests AI *raises the floor* of competence (less-experienced workers perform complex tasks with guidance) and can accelerate skill development when workflows are designed for **learning** rather than mere output — so outcomes are likely heterogeneous by organizational design.