Is AI Quietly Reshaping Entry-Level Hiring? New Data Suggests the Shift Is Already Here
The question of when — or whether — artificial intelligence will replace human labor is no longer just hypothetical. While full-scale job replacement remains uneven and industry-dependent, recent trends point to AI already reshaping how and whom companies hire — especially at the entry level.
According to new findings from SignalFire, a data-focused venture capital firm tracking workforce activity across LinkedIn’s 600 million+ user base, early indicators suggest AI is beginning to influence hiring patterns in the tech industry. Their data shows a sharp decline in hiring fresh college graduates in 2024, coupled with increased demand for more experienced workers — a signal that automation might be pushing out entry-level opportunities.
Fewer Open Doors for Grads
SignalFire’s analysis reveals that the top 15 Big Tech companies cut graduate hiring by 25% in 2024 compared to the year before. Startups also followed suit, decreasing their entry-level intake by 11%. While the firm didn’t share the exact headcount drop, a spokesperson confirmed that the number was in the “thousands.”
Asher Bantock, SignalFire’s Head of Research, attributes a significant portion of this shift to AI’s growing capability:
“There’s mounting evidence that generative AI is reshaping the type of talent companies prioritize. Many entry-level tasks — once a gateway for new grads — are now automated.”
It’s not just a question of preference. Entry-level roles often involve routine, repeatable tasks that generative AI now handles with surprising efficiency — from financial modeling to writing code and generating market research. This means roles traditionally reserved for junior analysts or developers may no longer require human input — or as many humans, at least.
“I Built a Tool That Does My Old Job”
Gabe Stengel, founder of AI startup Rogo and a former investment banker, illustrated this point bluntly during a recent fintech summit:
“Back at Lazard, I spent weeks doing diligence on biotech targets. Rogo now does most of that in minutes — reviewing financials, building decks, even surfacing red flags.”
And while investment banks haven’t officially slashed junior hires due to AI, reports from outlets like The New York Times suggest some firms have quietly debated hiring fewer analysts or reducing compensation, citing a lower workload thanks to AI tools.
Experience Is the New Entry Point
Yet while doors may be closing for graduates, they’re opening wider for mid-level professionals. SignalFire’s data shows a 27% jump in Big Tech hiring for individuals with two to five years of experience in 2024. Startups also increased hiring in this cohort by 14%.
“Companies want professionals who can hit the ground running — and use AI productively,” said Heather Doshay, SignalFire’s talent partner. “They’re not looking for blank slates anymore.”
This shift leaves today’s graduates in a familiar but now AI-intensified bind: No job without experience, no experience without a job.
The New Skill Baseline
So what can graduates do? Adapt — fast.
“Your best bet is to become fluent in the tools changing the market,” Doshay advised. “AI might automate tasks, but it can’t replace people who know how to direct, train, and get the most from it.”
This means skills in tools like ChatGPT, GitHub Copilot, Claude, and AI research platforms aren’t just resume boosts — they’re baseline expectations in many roles.
A Tipping Point
While the long-term impact of AI on employment remains in flux, the present-day effects are becoming clearer. AI isn’t replacing all jobs — it’s replacing the pathways into them. For young talent entering the workforce, the rules of the game have changed. The challenge now is not just to get your foot in the door — it’s to prove you can do what the AI can’t.
Or, at the very least, prove you can do it better.