---
id: "claim-ai-exposed-job-decline"
type: "claim"
source_timestamps: ["¶4"]
tags: ["labor-market-data", "statistics"]
related: ["claim-entry-level-slashing", "claim-50-percent-elimination", "question-workforce-reduction-scale"]
confidence: "high"
testable: true
speakers: ["Atta Tarki", "Joseph Raczynski"]
sources: ["reskilling"]
sourceVaultSlug: "hbr-seg-reskilling"
originDay: 10
articleStem: "hbr-edu-45-consulting-firms-hire-talent"
sourceUrl: "https://hbr.org/2025/10/how-ai-is-upending-how-consulting-firms-hire-talent"
sourceTitle: "How AI Is Upending How Consulting Firms Hire Talent"
---
# 13% Decline in AI-Exposed Entry-Level Jobs

**Claim:** AI-driven workforce reductions are not just a futuristic prediction — they are already happening.

The authors cite recent research utilizing **highly accurate payroll data** which estimates there has already been a **13% decline in entry-level jobs specifically within the fields most exposed to Artificial Intelligence**. The authors assert this downward trend will inevitably continue as AI technology improves and corporate adoption rates increase.

This is the empirical anchor beneath [[claim-entry-level-slashing]] and feeds the unresolved [[question-workforce-reduction-scale]]; it is a more measured figure than the forward-looking [[claim-50-percent-elimination]].

**Confidence: HIGH — well sourced.** Enrichment: the 13% figure matches Stanford University's analysis of millions of **ADP payroll records**, which found workers aged 22–25 in AI-exposed jobs experienced a ~13% decline in employment since late 2022, with larger declines (~20%) in software engineering and customer service, while *older* workers in the same jobs saw employment grow 6–9%. **Minor caveat:** the underlying study frames results in terms of young workers (age cohorts) in AI-exposed occupations, not literally 'all entry-level jobs' in every profession.


## Related across articles
- [[claim-ai-displaces-early-career]]
- [[claim-post-chatgpt-demand-shift]]
- [[evidence-stanford-canaries]]