Job growth in the US manufacturing and construction sectors outpaced that in the service sector, with AI infrastructure being the primary driver.

The US labor market is showing structural differentiation, with employment growth in manufacturing and construction significantly outpacing that in the larger service sector, and the wave of investment in AI infrastructure construction is considered the core driving force.

Data from the U.S. Bureau of Labor Statistics (BLS) shows that in the six months ending in August, wage employment in goods-producing industries grew by 0.6%, the highest for the same period since 2023, higher than the 0.4% increase in the service sector.

This data supports the better-than-expected August non-farm payroll report, which showed the highest number of new jobs in five months and the unemployment rate remained at 4.1%.

Citigroup economist Veronica Clark said the recent improvements in the manufacturing and construction sectors are closely related to the large-scale advancement of AI and the construction of data centers, with tax provisions in the Big Beauty Act passed last year further stimulating investment in equipment and facilities.

The White House quickly responded to the jobs report, with National Economic Council Director Kevin Hassett stating that since the Trump administration took office, 90,000 jobs have been created in factory construction, meaning a large number of future jobs are in the works.

AI infrastructure investment is driving accelerated commodity production and employment.

This year, employment in the goods-producing sector has continued to outperform the service sector. BLS data shows that in the past three months alone, manufacturing added 43,000 jobs, the strongest single-quarter performance since the end of 2022.

The index measuring the breadth of hiring across 72 manufacturing sub-sectors rose to its highest level in nearly four years in August, with sectors such as machinery, basic metals and metal products, computers and electronic products, electrical equipment and home appliances all recording steady growth.

Citigroup economist Veronica Clark attributed the improvements to the spillover effects of AI infrastructure investment.

She pointed out that the large-scale construction of data centers has directly driven the demand for labor in construction and related manufacturing industries, while the tax incentives for equipment and facility investments in the Big Beauty Act provide institutional guarantees for this round of investment expansion.

The White House uses employment data to demonstrate the effectiveness of its policies.

The White House quickly characterized the report as evidence of policy benefits. Kevin Hassett stated in an interview:

"A deeper analysis of the data reveals signs of policy success. Since President Trump took office, 90,000 jobs have been created in factory construction, which will generate a significant number of future jobs."

The August jobs report showed significant expansion in hiring in both manufacturing and construction, providing data support for the White House's statement.

Short-term improvements cannot mask the underlying weakness in employment in the medium term.

However, analysts point out that the current employment recovery needs to be examined within a longer time frame.

Gregory Daco, chief economist at EY-Parthenon, pointed out that the industry had experienced three years of continuous layoffs before this round of manufacturing job growth. The recent rebound is more a result of the low base effect and the resonance of a specific investment cycle, and its sustainability remains to be seen.

For investors, the structural recovery in employment in the manufacturing and construction sectors, to some extent, confirms the logic of AI capital expenditures being transmitted to the real economy. However, the divergent trends in the overall labor market will remain an important reference variable for the Federal Reserve to assess economic resilience and determine the path of interest rates.

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