Investments in AI and housing construction

Investments in AI and housing construction: how will a half trillion dollar wave of capital investment affect the forestry industry in 2026

    In 2026, the forestry industry faced a new, less obvious, but powerful macroeconomic factor — an unprecedented wave of investments in artificial intelligence. According to consensus forecasts, capital expenditures on AI in the amount of about 600-700 billion dollars are planned in 2026, which makes this sector a central macroeconomic factor closely related to the economics of the housing sector. This wave of investments puts pressure on the wood products market through two channels: maintaining high inflation and interest rates, as well as direct competition for land, labor and capital with housing construction.

AI as a macroeconomic factor: a hidden driver of growth

    In 2025, US GDP growth, judging by the overall indicators, seemed stable. However, the data suggests a more complex picture. Excluding fluctuations in trade, inventory, and government spending, data center construction accounted for between one-third and one-half of that growth. This means that basic household consumption remained weaker than the official statistics suggested.

The situation in 2026:

•     - The scale of AI spending is accelerating.
•     - Consensus forecasts point to $600-700 billion in capital expenditures this year.
•     This is no longer a secondary story for the economy — it is a central factor directly related to housing construction.
•  

Two pressure transmission channels for the forestry industry

    Investments in AI affect the wood products market not directly (through demand for lumber), but through the macroeconomic environment. We identify two key channels.

Channel 1: Maintaining high inflation and interest rates
    The wave of investments in AI helps to keep the overall inflation rate and interest rates at a high level. For a market where housing construction is critically dependent on financing conditions, this pressure is directly transferred to demand.

Channel 2: Competition for real resources
    Investments in AI compete with housing construction for:

• - Land (building plots)
• - Labor force (construction crews, engineers, designers)
• - Capital (investment resources)

    This phenomenon of "crowding out" means that housing construction faces not only a demand problem, but also fierce competition for resources from another large capital-intensive sector.

Impact on housing construction and the timber supply chain

    Housebuilders are already under tremendous pressure.:

•     - House prices have stabilized or are declining.
•     - There are growing incentives to attract cautious buyers.
•     - Input costs (including fees and other market factors) constrict profitability.

Developers' reaction: Reduction of production and focus on more marginal projects rather than accepting lower returns.

Implications for the forestry industry:

•     Housing construction provides 70-80% of the demand for wood products.
•     The decline in activity in this sector is an obvious negative factor for all segments of the supply chain.:
  •     - Owners of forest lands
  •     - Sawmills
  •     - Distributors
  •     - Retailers of building materials

Comparison of 2025 and 2026

The key conclusion: In 2025, AI-related growth masked weakness in underlying demand. In 2026, the scale of AI spending is so large that it is actively supporting high inflation and interest rates, while competing with housing construction for resources.

Key signals for monitoring

1. The pace of capital investment in AI
    Will this unusually high level of spending continue in line with expectations? This will affect interest rates and inflation, and consequently, activity in housing construction.

•     Slowing down the construction of data centers can free up resources (land, labor) for housing construction.
•     However, a slowdown in the AI sector may coincide with a stock market correction and a negative wealth effect, which will not be exclusively positive for housing construction.

    2. Sources of economic growth
    Are the growth rates of employment and wages high enough to push the economy to further growth, or will GDP growth continue due to the boom in the AI sector?

•     A broader growth base would indicate a healthier consumer economy, which is crucial to maintain demand for housing and repairs.

    Both signals agree on one thing: the more capital and labor are invested in the construction of data centers, the greater the inflationary pressure on housing construction. This is one of the factors preventing a faster recovery of the housing market in 2026.

Key macroeconomic indicators:

Forecast and conclusions for the forest industry

Prospects for housing construction recovery:

•     - There are significant obstacles in 2026.
•     - A potential recovery is possible in 2027, but it will not be easy.

Result

    The boom of artificial intelligence is not just a technological story. This is a powerful macroeconomic force that already determines the conditions for housing construction and, consequently, for the entire forestry industry. A wave of capital investments of $600-700 billion supports high inflation and interest rates, competes for resources and creates a "crowding out effect" for the housing sector. For the timber industry, this means a prolonged period of pressure on demand, especially in segments dependent on housing construction. Recovery in 2027 is possible, but it will depend on how quickly the investment boom in AI slows down and whether resources are released for housing construction.

Tags: #world market #forestry #artificial intelligence #housing #inflation #interest rates #North America #capital expenditures #wood products