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The AI jobs headline is getting attention, but the labor market data tell a more measured story.
Listening to this morning's news on the way to work, a headline caught my attention; " Goldman Sachs is pointing to a net monthly loss of roughly 16,000 jobs tied to AI." That headline gets attention, but the real story is more nuanced. The labor market is still adding jobs overall, but the composition of those jobs is what is changing.
In the latest BLS release, U.S. payrolls increased by 178,000 in March 2026, unemployment was 4.3%, and the largest gains were in health care, construction, and transportation/warehousing.
At the same time, the February JOLTS report showed:
- 6.9 million job
- 4.85 million hires
- 1.7 million layoffs and discharges
What does that tell us? It suggests employers are still hiring, but more selectively. Many organizations are not making broad cuts. They are slowing hiring, delaying backfills, and reallocating work.
The bigger pattern appears to be this, AI is reducing hiring demand in certain white-collar roles faster than it is driving widespread unemployment across the economy. Meanwhile, other sectors are still growing, especially labor-intensive and infrastructure-related industries.
Goldman’s research suggests the disruption is concentrated in areas like:
- Technology
- Knowledge work
- Creative functions
- Administrative roles
- Customer support
At the same time, AI is also contributing to job growth in areas such as:
- Construction
- Power and utilities
- Data centers
- Engineering
- Electrical trades
Bottom line, this is less about wholesale job destruction and more about role reallocation, slower hiring, and shifting demand. The labor market is still adding jobs overall, but the composition of those jobs is changing.
For employers, this is a reminder to think carefully about workforce planning, reskilling, and where human talent adds the greatest value.
