AI-Heavy Firms Grew Headcount 10.2% as Entry-Level Roles Rose 12%

3 articles · Updated · TechCrunch · Jun 30

Ramp and Revelio Labs found companies spending about $30 per employee a month on AI lifted headcount 10.2%, with entry-level jobs up 12% through their first three months of heavy adoption.
The gains appeared across engineering, sales, administration, customer service, finance, marketing and scientist roles, with the strongest growth in the information sector spanning software, internet and media firms.
The report argues sustained AI investment may support firm expansion by lowering costs in coding, debugging, internal tools and product development, while companies limited to pilots and subscriptions showed no comparable hiring gains.
The authors caution the data covers nearly 22,000 mostly tech-forward, knowledge-work companies, so it does not prove AI broadly creates jobs even as it pushes back on claims of universal losses.
That nuance matters because AI-linked layoffs have approached 90,000 this year, while Goldman Sachs estimated AI erased about 16,000 net jobs a month over the past year, hitting Gen Z and entry-level workers hardest.

Sources

Left67%

Center33%

TechCrunch3h ago

Ramp, Revelio Labs Report: AI Investment Linked to Headcount Growth, Including Entry-Level Jobs

Financial Times3h ago

Heavy corporate AI spenders add staff faster than peers

reveliolabs.com3h ago

Are AI Certifications Worth It? What the Salary Data Shows | Revelio Labs

4 Sources

AI is creating more entry-level tech jobs, so why are young workers being hit the hardest overall?

Firms heavily investing in AI are growing, but is this creating new opportunities or a new class of corporate giants?

Companies report AI saves hours of work, so why are many not seeing real productivity gains from their investment?

The Vanishing Entry-Level Job: How AI Is Reshaping Early Careers and Threatening the Talent Pipeline (2023–2026)

Overview

Between 2023 and mid-2026, the job market has seen strong overall growth, especially in sectors using Artificial Intelligence. However, entry-level opportunities have dropped sharply, making it much harder for young professionals and recent graduates to find jobs. The share of workers aged 25 and younger has fallen significantly, and hiring for this group is down by over 45% compared to 2019. This shift is driven by the 'seniorization' of entry-level roles, where employers now expect more advanced skills and experience, creating a more selective labor market that prioritizes immediate expertise over long-term potential.

...