It’s time to address the looming crisis in entry-level work.

TL;DR

AI has not caused mass unemployment, but early-career hiring in AI-exposed occupations has seen a significant relative decline.
More experienced workers and those in low AI-exposure jobs have not experienced similar declines, highlighting a specific impact on entry-level positions.
Firms may be using AI to substitute for junior tasks, hindering traditional pathways for career entry.
There is a softening labor market for recent graduates, with rising unemployment and underemployment rates.
AI may be accelerating the difficult transition from school to work, leading to personal distress for young job seekers.
Entry-level jobs serve as a crucial training system, and AI's absorption of these tasks could reduce long-term societal capability.
The skill of supervising AI systems and understanding their outputs is becoming more relevant than traditional coding skills.
Educational institutions and professional programs need to embed AI literacy, data literacy, and verification skills into degrees.
Students should aim to be AI fluent and combine this with domain judgment and human relationship skills.
Governments should offer incentives for businesses that hire and train early-career workers in AI-augmented roles.
Businesses must view entry-level hiring as an investment in future judgment and expertise, not just short-term cost savings.

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