Fast Company Cites Revelio Labs on Entry-Level Hiring
Fast Company cited Revelio Labs research on July 17, 2026, highlighting a roughly 35% decline in U.S. entry-level job postings since early 2023. The data appears in a Work Life article examining how changes at both ends of the career ladder are reshaping work for mid-career professionals.
Fast Company, “Mid-career and feeling stuck? Here’s how to reclaim your value”: https://www.fastcompany.com/91572679/mid-career-and-feeling-stuck-heres-how-to-reclaim-your-value
The finding comes from Revelio Labs research examining rising unemployment among entry-level workers and whether artificial intelligence is contributing to the shift.
Entry-level job postings have fallen about 35%
Fast Company opens its analysis with a labor market increasingly difficult for workers at the beginning of their careers.
Citing Revelio Labs, the publication notes that U.S. entry-level job postings have fallen about 35% since early 2023.
The decline is part of a broader shift Revelio Labs has documented in the early-career labor market. Entry-level workers have faced weakening demand at the same time that employers are reconsidering the skills and experience they need from new hires.
The Fast Company article places that trend alongside changes higher up the career ladder. It cites separate Korn Ferry research showing that 41% of surveyed professionals said their companies reduced management layers in 2024.
Together, those shifts leave many mid-career workers operating between a smaller pipeline of junior employees and leaner management structures.
Is AI contributing to the decline in entry-level hiring?
The Revelio Labs research cited by Fast Company examines whether AI can explain the growing challenges facing entry-level workers.
The relationship is still developing. Changes in entry-level hiring reflect multiple forces across the labor market, and the decline in job postings alone does not establish AI as the cause.
Revelio Labs continues to measure these changes through workforce and job posting data, including how employment differs across occupations based on their exposure to AI.
This distinction matters as companies adjust their workforce strategies. Measuring where hiring is slowing, which occupations are affected, and how demand differs by experience level provides a clearer picture of how the early-career labor market is changing.
Measuring changes across the career ladder
Revelio Labs provides standardized workforce data covering employment histories, job postings, compensation, skills, company headcount, and employee sentiment.
By connecting these datasets across companies, occupations, industries, and geographies, Revelio Labs can measure changes in hiring and employment that may be difficult to see in aggregate labor statistics.
The decline in entry-level postings is one example. It provides a measurable signal of how access to the first rung of the career ladder has changed since 2023.
Fast Company’s analysis places that shift in a broader career context, showing how changes in entry-level hiring can sit alongside changes in management structures and the responsibilities of workers in between.
Read the Revelio Labs research behind the finding to explore what the data shows about entry-level employment and AI.
Read Revelio Labs research: https://www.reveliolabs.com/news
FAQ
How much have entry-level job postings declined?
Revelio Labs data shows that U.S. entry-level job postings have fallen about 35% since early 2023. Fast Company cited the finding in a July 2026 Work Life article about changes across the career ladder.
Is AI causing the decline in entry-level hiring?
The decline in entry-level job postings alone does not establish AI as the cause. Revelio Labs research examines AI alongside other labor market factors to understand where employment and hiring patterns are changing.
What does Revelio Labs measure?
Revelio Labs provides standardized workforce data covering areas including employment, job postings, hiring, compensation, skills, company headcount, and employee sentiment.