The US labor market added 178,000 jobs in March, according to the Bureau of Labor Statistics.
summary
- Job growth in March remained modest while technology hiring remained weak and entry-level roles continued to shrink.
- The use of AI in offices has risen, but many employees report rework, frustration and decreased confidence.
- Executives saw gains from AI tools, while employees faced errors and additional checks daily.
Data Show Limited change from the previous month, even as companies continue to talk about AI-led growth and improved workplace efficiency.
This gap has kept interest on whether AI is on the rise or not Employment Output as promised. Recent job, workplace, and industry reports show a more mixed picture, especially in technical and entry-level roles.
Most of the job growth in March came from health care, construction, transportation and warehousing, and social assistance. The health care sector added 76,000 jobs, while the construction sector increased 26,000 jobs, and transportation and storage added 21,000 jobs.
BLS data did not show the same strength in technology-related areas. Providers of computing infrastructure and web search portals showed little movement, while computer systems design and related services lost 13,000 jobs during the month.
This pattern contradicts general claims that technology employment is recovering. Marc Andreessen He said Concerns about job losses due to artificial intelligence were overblown, and shared data showed more job openings at technology companies.
But available opportunities do not always lead to employment. March employment numbers showed that the strongest hiring came from sectors outside core technology, while related digital services remained flat or declined.
Goldman Sachs recent a reportFortune magazine said that artificial intelligence has eliminated about 16,000 jobs per month over the past year. Meanwhile, a study conducted by SignalFire in 2025 indicated that hiring of new graduates has occurred decreased 50% of levels seen before the Covid-19 pandemic.
“The door to technology used to be wide open to new graduates. Today, it’s barely open,” SignalFire said. The report linked this shift to smaller funding rounds, smaller teams, fewer graduate programs, and increased use of artificial intelligence.
So is Goldman Sachs to caution Workers displaced by technology often move on to more routine jobs. This shift could devalue their current skills and impair work outcomes for years, the report said.
This concern has expanded the debate about artificial intelligence and employment. While some leaders still expect long-term gains, recent data has kept attention on current hiring patterns and who bears the cost of change.
Worker experience does not match executive optimism
Executives continue to report strong support for AI tools. Harvard Business Review said that 80% of leaders use AI weekly, while 74% use AI weekly. I mentioned Positive returns from early deployments.
Workers reported a different experience. Mercer He said 43% of workers found their jobs more frustrating, while Workday said nearly four hours are wasted fixing AI outputs for every 10 hours of claimed efficiency gains.
Harvard Business Review too He pointed out to “workslop,” which is described as content that looks polished but lacks substance. The researchers said 41% of workers saw this type of production, with each instance adding approximately two hours of rework.
Only 14% of participants “consistently achieve net positive results from using AI,” Workday said. This finding suggests that many workplaces are still dealing with errors, additional review, and poor confidence in the output.
OpenAI warns that the policy may be overdue for change
The divide between executive use and employees’ everyday experience may come from how teams use the tools. Harvard Business Review said senior leaders often apply AI to strategy, formulation and synthesis, where the systems tend to perform better.
For routine operations that need consistent accuracy, the results appear less reliable. Brian Solis from ServiceNow Named This burden is similar to an “AI tax,” which he described as “more scrutiny. More rework. More anxiety.”
OpenAI has too I confess That artificial intelligence is changing employment. Her policy ideas included broader health care coverage, support for retirement savings, and a new industrial agenda.
The company said its proposals are early and aim to start discussion. The report also warned that “unless policies keep pace with technological change, the institutions and safety nets needed to navigate this transformation may be left behind.”
