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AI investment and semiconductor prices

The takeaway

Although data center construction and semiconductor purchases are both related to the AI boom, changes in their prices may be occurring at different stages of the investment process.

Producer price index

Our FRED graph above shows the producer price index for semiconductor and other electronic component manufacturing. This index measures prices received by domestic producers in that industry. For much of the recent past, the index had changed slowly, even during periods when semiconductor shortages received wide attention. But that pattern has changed: The index rose from 61.6 in January 2026 to 73.1 in May 2026, an increase of about 19% in four months.

A question of timing

Increased data center construction has been expected for some time. A study byKalyani and Li (2026)finds that US business spending related to AI grew substantially in 2025: Information processing equipment, software, and data center construction accounted for one-third of total business investment in the third quarter of 2025, the highest share since 1947. In other words, the boom in AI-related capital spending appears to have materialized and is no longer merely expected. But if firms were already planning large investments in AI infrastructure, why would semiconductor prices rise onlynow?

One possibility is that data center construction and semiconductor demand may arrive at different points in the investment process. Early spending on data centers includes land, buildings, cooling systems, power connections, and other physical infrastructure—costs that aren’t measured by this semiconductor price index.

Semiconductor price pressures may appear later, when planned data centers are closer to being equipped and firms have a better sense of which inputs are scarce. At this stage, firms need processors, memory, networking equipment, power-management chips, and many other electronic components.Recent earnings reportsfrom semiconductor firms suggest that AI data center demand has started to reach a wider set of chip producers and not only firms that make the most advanced AI processors.

This interpretation helps explain why semiconductor prices may not have moved much during earlier stages of the AI boom.

Also, supply bottlenecks and capacity constraints in the investment and construction process aren’t always obvious in advance. As projects move forward and orders become more concrete, firms can learn more about where supply can expand easily and where price pressures may emerge for specific components.

Inventories

A surge inexpecteddemand doesn’t necessarily raise prices immediately if suppliers can increase production or if inventories are available. In fact, some semiconductor markets were working through excess inventories after the pandemic-era cycle. Once these inventories have fully normalized and data center orders have strengthened, the boom could begin to fully and clearly show up in the price index.

How this graph was created: SearchFREDfor “Producer Price Index by Industry: Semiconductor and Other Electronic Component Manufacturing.” Select the monthly, not seasonally adjusted series. The series ID is PCU33443344.

Suggested byAakash Kalyani.

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