Show summary Hide summary
The U.S. economy lost 92,000 jobs in February, but industry leaders say the deeper disruption may be happening inside hiring systems. RedBalloon CEO Andrew Crapuchettes warns that artificial intelligence is quietly reshaping who gets seen — and who is effectively screened out — with consequences that go beyond the headline unemployment figure.
The Labor Department’s report Thursday showed a net decline of 92,000 payrolls for the month, a result that fell short of the modest gains economists expected. The jobless rate rose to 4.4%, slightly above forecasts. Several sectors — including government, manufacturing, information, construction and transportation — registered meaningful cutbacks, and health care payrolls were affected by strike activity.
How AI is changing hiring
Crapuchettes describes what he calls an “invisible layoff”: recruiters and applicant-tracking systems increasingly rely on algorithms that favor resume formats and language produced by AI tools. That, he argues, lifts algorithm-friendly candidates to the top of the pile while sidelining others whose skills or potential are harder to capture on paper.
UAE breaks with OPEC: immediate risks for oil prices, consumers and investors
Cohere, Aleph Alpha join forces: what the tie-up means for the AI landscape
At RedBalloon, he says automation has boosted output dramatically without adding staff — a positive for productivity but a signal of the broader shift employers are confronting. “We were able to raise our engineering output substantially while keeping head count steady,” he told reporters, explaining that similar moves across companies reduce immediate hiring demand.
This dynamic can produce a disconnect between what an algorithm prefers and what a hiring manager needs. Automated filters are effective at evaluating keywords, formatting and structure, but they cannot fully measure judgment, adaptability or on-the-job wisdom — qualities that remain distinctly human.
Immediate implications for workers and firms
- Screening bias: Resumes optimized by AI tools may gain an advantage in automated systems, amplifying the importance of how experience is presented.
- Hiring frequency: Higher per-worker productivity driven by AI can reduce the rate at which firms expand payrolls in the near term.
- Sectoral shifts: Public-sector payroll declines and strike-driven pauses in health care hiring are altering labor supply and demand patterns.
- Skills premium: Employers increasingly value candidates who can use AI to boost performance — even in traditionally manual trades.
Those trends help explain why federal employment is also in flux: BLS figures show federal payrolls are down roughly 330,000 jobs, or about 11%, from an October 2024 peak. Crapuchettes suggested that a smaller public payroll could free up workers for private-sector roles, creating short-term hardship but potential long-term gains in economic activity.
What to watch next
Policy makers and company leaders face several practical choices. If AI remains the primary gatekeeper, firms risk hiring candidates who look perfect on paper but lack intangible strengths. Conversely, limiting automation in screening could slow productivity gains.
Other factors will also shape the labor market in coming months: wage trends, interest rates, and industrial disputes are all at play. The jobs tally alone does not capture these underlying shifts, which is why observers caution against reading any single monthly report as definitive.
For workers, the takeaway is pragmatic: becoming “AI-enabled” — understanding how to use generative tools to improve output and to present experience in ways that automated systems recognize — is increasingly a workplace advantage. For employers, the challenge is to balance efficiency gains with hiring practices that still surface lived experience and human judgment.
