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AI Spending Could Trigger New Inflation Wave

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Global equity markets entered 2026 riding momentum from artificial intelligence enthusiasm, with major indexes posting double-digit gains throughout 2025. US stock markets reached record peaks as seven technology companies delivered half of all market earnings, while European and Asian equities similarly climbed to unprecedented levels. The rally extended to bond markets, where US Treasury investors enjoyed their strongest annual performance in five years as inflation declined from previous highs.

Market analysts now warn that this technology-driven rally faces a significant threat that investors may be underestimating. The massive wave of investment flowing into artificial intelligence infrastructure could reignite inflation pressures and force central banks to reverse their accommodative monetary policies. Government stimulus programs planned across the United States, Europe and Japan are expected to support economic growth in 2026, but the combination of fiscal spending and technology investment may overheat economies.

Money managers are preparing for inflation to accelerate again, which would likely prompt central banks to halt interest rate cuts or potentially raise rates. Higher borrowing costs would reduce investor appetite for speculative technology stocks, increase funding expenses for AI projects and compress profit margins for tech companies. The current market environment depends heavily on continued access to cheap capital, making any monetary tightening a substantial risk to valuations.

The construction boom in data centers represents a particularly inflationary force. Technology giants including Microsoft, Meta and Alphabet are racing to build new facilities to support AI capabilities, creating intense demand for energy supplies and advanced semiconductors. These projects consume resources at unprecedented rates, pushing up costs for both electricity and specialized chips. Market strategists note that expenses are rising rather than falling, with inflation affecting both semiconductor manufacturing and power generation.

Consumer price inflation in the United States is forecast to remain above the Federal Reserve’s 2 percent target through late 2027, driven partly by heavy corporate investment in artificial intelligence. The improving labor market, ongoing stimulus spending and previous interest rate reductions are also expected to sustain price pressures regardless of component costs. Central banks may need to end their rate-cutting cycles sooner than markets currently anticipate, or potentially begin raising rates again if inflation accelerates.

Investment firms managing hundreds of billions in assets identify inflation as a renewed threat to portfolio stability. Some fund managers are reducing exposure to debt markets that could face disruption from unexpected price increases, while maintaining equity positions for now. The market gauge tracking inflation expectations has diverged from actual realized inflation for several years, suggesting investors may not be adequately pricing this risk.

Early warning signs have already emerged. Oracle shares dropped sharply in recent months after revealing significant spending increases, while Broadcom stock declined following warnings that high profit margins would face compression. Personal computer manufacturers expect pricing pressure in late 2026 from surging memory chip costs driven by data center demand. These developments indicate that the cost inflation anticipated by strategists is beginning to materialize in corporate results.

Analysts project that capital expenditure on AI data centers could reach four trillion dollars by 2030. The rapid deployment of these facilities may create supply bottlenecks for semiconductors and electricity, causing investment costs to spiral beyond current projections. Memory chip inventory levels at major suppliers have declined steeply since late 2024, suggesting tightening supply conditions. Such constraints would push prices higher across the technology supply chain.

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