Artificial intelligence infrastructure development may drive inflation higher before delivering any promised cost savings, according to a new analysis from investment research firm MRB Partners. In a February 25 note to clients, Phillip Colmar, a partner in global strategy at the firm, warned that the massive capital expenditure required for AI buildout is already pushing up prices for electricity and computer products, contradicting the widely held belief that AI will reduce inflation through productivity gains.
The assessment challenges conventional market wisdom that artificial intelligence will act as a deflationary force in the economy. While many investors have focused on potential job displacement as a primary AI risk, Colmar argues that higher consumer costs represent a more immediate threat to both economic stability and stock market performance.
AI Infrastructure Spending Drives Price Increases
According to Colmar, the current AI boom is likely to remain inflationary for several years before any meaningful disinflationary benefits materialize. The analysis points to rising prices in electricity markets and computer hardware as early evidence of this trend. Additionally, any potential cost savings from AI-driven productivity improvements in services sectors will take considerable time to develop meaningful momentum.
The timing of when AI benefits might offset infrastructure costs remains uncertain. MRB Partners indicates that while future productivity gains could eventually reduce prices, particularly in service industries, no concrete evidence of this transition has emerged yet.
Multiple Factors Contributing to Inflation Outlook
Beyond AI infrastructure investment, Colmar identified two additional drivers supporting his inflation forecast. The first is that the economic output gap as a percentage of GDP has turned positive, indicating the economy and labor pool are operating above their sustainable capacity. This overheating creates upward pressure on wages and prices across the economy.
Meanwhile, the ongoing reversal of globalization through expanded US trade conflicts presents another inflationary headwind. For decades, global trade integration had served as a disinflationary force by providing access to lower-cost production. However, recent trade policy shifts are unwinding these dynamics, according to the research firm.
Market Implications of Higher Inflation Environment
The inflation analysis carries significant implications for equity markets, particularly technology stocks and cryptocurrencies. Colmar warns that investors have not yet fully recognized that structurally higher inflation may persist, and this realization could deflate assets currently in bubble territory. Rising inflation typically pressures stock valuations by pushing both long-term bond yields and short-term policy rates higher.
In contrast to the prevailing market optimism, MRB Partners has taken profitable short positions against both growth stocks and cryptocurrencies. The firm recommends underweight exposure to these asset classes within broader portfolio allocations, expecting a shift in consensus views to trigger significant repricing.
Bubble Indicators in Growth Sectors
Several metrics suggest growth stocks have reached unsustainable valuation levels, according to the analysis. Stock valuations have soared amid optimistic growth expectations, while the market capitalization of growth companies as a share of the broader market has increased faster than their actual profit contribution to overall US corporate earnings. Furthermore, technology investment as a percentage of GDP has climbed to levels last seen during the dot-com era.
However, intense competition in the technology sector makes individual firms vulnerable to disruption despite elevated valuations. This combination of high prices and competitive pressure increases downside risk if inflation forces interest rates higher, the report indicates.
Markets will likely monitor upcoming inflation data closely to determine whether the MRB Partners outlook proves accurate. The timeline for when AI productivity benefits might offset infrastructure costs remains unclear, leaving considerable uncertainty about the ultimate economic impact of artificial intelligence adoption.
