Companies
American Capital Spending Is Holding Up, and AI Hardware Is Helping Drive It
New York — Core capital-goods orders rose in June even as total factory orders fell, pointing to continued business investment beneath a mixed manufacturing picture.
By Jonathan Reed · Corporate Strategy & Industry Correspondent · Published
US manufacturing data in June looked weak at first glance: total factory orders fell 0.3%, marking a second consecutive monthly decline. The details were considerably better for business investment.
Orders for non-defense capital goods excluding aircraft, a closely watched proxy for business equipment spending, rose 1.2%, according to Commerce Department data reported in early August. Shipments of the same core category increased 2.0%.
The strength was particularly visible in computers and electronic products, where orders rose 3.2% from May and 13.9% from a year earlier. That is consistent with an economy still directing substantial capital toward data centers, computing and related digital infrastructure.
The headline factory number hides a split economy
Manufacturing is being pulled in different directions. Aerospace and energy-related equipment can create large swings in total orders, while technology-linked categories are benefiting from a separate investment cycle.
Defense aircraft and parts orders fell in June, and mining and oil-field equipment also declined sharply. Those moves weighed on the aggregate number even as machinery, vehicles, electrical equipment and computer-related categories performed better.
For suppliers, the distinction matters. A broad statement that US manufacturing is weakening can obscure strong demand in selected capital-goods markets.
AI spending is becoming visible in hard economic data
The AI boom began as a software and venture-capital story. It is now showing up in orders for physical equipment, data-center construction and electrical infrastructure.
Training and running advanced models requires accelerators, servers, networking hardware, cooling systems and power. Large technology companies are turning those requirements into capital expenditures at a scale large enough to influence national investment statistics.
This is one reason the AI cycle has broader economic importance even before productivity gains are fully measured. The buildout creates current demand for manufacturers, construction companies, utilities and engineering suppliers.
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Capital spending can support productivity later
Equipment investment matters because businesses can only improve output per worker if they combine labor with better tools, processes and technology. Not every capital project succeeds, but a sustained rise in productive investment is generally healthier than growth driven only by consumption.
The second-quarter GDP data later confirmed that investment contributed positively to US growth. The challenge is determining how much of today's AI-related spending will translate into lower costs, better products or new revenue rather than excess capacity.
That return-on-investment question will become more important as the infrastructure stock grows and shareholders demand evidence of commercial output.
Manufacturing remains exposed to supply shocks
The capital-spending trend is constructive, but manufacturers are still operating through geopolitical and tariff uncertainty. Companies have been front-loading some purchases to protect against shortages or price increases.
That can temporarily strengthen orders and shipments while making later months harder to interpret. It also raises working-capital requirements as firms hold more inventory than they would under stable trade conditions.
The June data therefore point to genuine investment strength with an important qualification: part of the timing reflects a business sector adapting to an unusually uncertain supply environment. If core orders remain firm after precautionary purchasing fades, the case for a broader investment cycle will become considerably stronger. That would matter well beyond technology because equipment demand feeds through to factories, transport networks, utilities and skilled industrial employment.