The US labor market added 178,000 jobs in March, in keeping with the Bureau of Labor Statistics.
Abstract
- March job development stayed modest whereas tech hiring remained weak and entry-level roles stored shrinking.
- AI use rose in places of work, however many staff reported rework, frustration, and decrease belief.
- Executives noticed beneficial properties from AI instruments, whereas employees confronted errors and additional checks day by day.
The info confirmed restricted change from the prior month, at the same time as firms stored speaking about AI-led development and higher office effectivity.
That hole has stored consideration on whether or not AI is lifting hiring and output as promised. Latest labor, office, and trade reviews present a extra blended image, particularly in tech and entry-level roles.
Most job development in March got here from healthcare, building, transportation and warehousing, and social help. Healthcare added 76,000 jobs, whereas building gained 26,000 and transportation and warehousing added 21,000.
The BLS knowledge didn’t present the identical power in tech-linked areas. Computing infrastructure suppliers and net search portals confirmed little motion, whereas laptop methods design and associated providers misplaced 13,000 jobs throughout the month.
That sample stands in distinction to public claims that tech hiring is recovering. Marc Andreessen stated fears about AI-led job losses had been overblown and shared knowledge exhibiting extra job openings at tech companies.
However openings don’t at all times result in hiring. The March labor figures confirmed that the strongest hiring got here from sectors outdoors core tech, whereas associated digital providers stayed flat or moved decrease.
A latest Goldman Sachs report, cited by Fortune, stated AI lower about 16,000 jobs monthly over the previous yr. On the similar time, a 2025 SignalFire research stated new graduate hiring had dropped 50% from ranges seen earlier than the COVID-19 pandemic.
SignalFire stated, “The door to tech as soon as swung vast open for brand spanking new grads. Right this moment, it’s barely cracked.” The report linked that shift to smaller funding rounds, leaner groups, fewer graduate packages, and rising AI use.
Goldman Sachs additionally warned that staff pushed out by know-how typically transfer into extra routine jobs. The report stated this shift can cut back the worth of their current expertise and weaken labor outcomes for years.
That concern has widened the talk round AI and employment. Whereas some leaders nonetheless anticipate long-term beneficial properties, latest knowledge has stored consideration on present hiring patterns and who bears the price of the change.
Employee expertise doesn’t match govt optimism
Executives proceed to report sturdy assist for AI instruments. Harvard Enterprise Assessment stated 80% of leaders use AI weekly, whereas 74% reported constructive returns from early deployments.
Employees reported a distinct expertise. Mercer stated 43% of staff discovered their jobs extra irritating, whereas Workday stated practically 4 hours are misplaced fixing AI output for each 10 hours of claimed effectivity beneficial properties.
Harvard Enterprise Assessment additionally pointed to “workslop,” described as content material that appears polished however lacks substance. Researchers stated 41% of staff had seen this sort of output, with every case including nearly two hours of rework.
Workday stated solely 14% of respondents “constantly obtain net-positive outcomes from AI use.” That end result suggests many workplaces are nonetheless coping with errors, further evaluate, and weak belief in outputs.
OpenAI warns coverage might lag behind change
The divide between govt use and day by day employees expertise might come from how groups use the instruments. Harvard Enterprise Assessment stated senior leaders typically apply AI to technique, drafting, and synthesis, the place the methods are inclined to carry out higher.
For routine operations that want regular accuracy, outcomes seem much less dependable. Brian Solis of ServiceNow referred to as this burden an “AI tax,” which he described as “Extra checking. Extra rework. Extra nervousness.”
OpenAI has additionally acknowledged that AI is altering employment. Its coverage concepts included broader healthcare protection, retirement financial savings assist, and a brand new industrial agenda.
The corporate stated its proposals are early and meant to start dialogue. It additionally warned, “Except coverage retains tempo with technological change, the establishments and security nets wanted to navigate this transition might fall behind.”