U.S. manufacturing and construction employment growth surpasses the service sector, with AI infrastructure as the primary driver

The U.S. labor market is experiencing structural divergence, with employment growth in manufacturing and construction now clearly outpacing the much larger services sector. The wave of investment in AI infrastructure construction is seen as the core driving force.

According to data from the U.S. Bureau of Labor Statistics (BLS), in the six months up to August, payroll employment in the goods-producing sector grew by 0.6%, the highest for the same period since 2023 and higher than the 0.4% increase in the service sector.

This data supports the better-than-expected nonfarm payrolls report for August, when new jobs reached a five-month high and the unemployment rate held at 4.1%.

Citi economist Veronica Clark stated that recent improvements in manufacturing and construction are closely linked to the large-scale rollout of AI and the construction of data centers, with tax provisions in last year's "Inflation Reduction Act" further boosting investment in equipment and facilities.

The White House was quick to respond to the jobs report. National Economic Council Director Kevin Hassett said that since the Trump administration took office, the number of jobs in factory construction has increased by 90,000, indicating a large number of future jobs are in the pipeline.

So far this year, employment in the goods-producing sector has continued to outperform the services sector. BLS data shows that in just the past three months, manufacturing added 43,000 jobs—the strongest quarterly performance since the end of 2022.

An indicator measuring hiring breadth across 72 manufacturing sub-industries rose to its highest in nearly four years in August, with strong growth seen in sectors such as machinery, basic metals and metal products, computers and electronic products, and electrical equipment and household appliances.

Citi economist Veronica Clark attributes these improvements to the spillover effects of AI infrastructure investment.

She noted that the large-scale construction of data centers directly drives labor demand in construction and related manufacturing industries, while the tax incentives for equipment and facility investments from the "Inflation Reduction Act" provide institutional support for this round of investment expansion.

The White House was quick to frame this report as evidence of policy dividends. In an interview, Kevin Hassett stated:

"If you look deeply into the data, you can see the signs of policy success. Since President Trump took office, the number of jobs in factory construction has increased by 90,000, which will create a large number of future jobs."

The August employment report showed widespread hiring in both manufacturing and construction, lending data-driven support to the White House's assertions.

However, analysts caution that the recent rebound in employment should be viewed within a longer-term context.

Gregory Daco, chief economist at EY-Parthenon, pointed out that prior to this round of manufacturing job growth, the industry had undergone three consecutive years of layoffs. The recent rebound is largely a result of a low base effect coupled with a specific investment cycle, so its sustainability remains to be seen.

For investors, the structural recovery in manufacturing and construction employment to some extent confirms that AI capital expenditure is indeed trickling into the real economy. However, the diverging trends in the overall labor market will remain a key reference for the Federal Reserve in assessing economic resilience and judging the path of interest rates.