Morgan Stanley forecasts that AI-related capital expenditure by major US technology firms will reach $800 billion by 2026, nearly doubling previous estimates. This surge in spending, driven by the demand for AI infrastructure, is expected to continue rising, with projections hitting $1.1 trillion by 2027. The spending pattern is described as "uniquely price insensitive," as companies continue to invest heavily in chips, data centers, and power equipment despite rising costs. While this influx of capital supports GDP growth and employment, it also raises inflation concerns. The persistent demand for resources like copper and memory chips, regardless of price, could make inflation harder to control. Additionally, the financing of these expenditures through debt could widen credit spreads in corporate bond markets, potentially increasing borrowing costs. Morgan Stanley's analysis suggests that this spending trend may keep interest rates elevated longer than expected, complicating efforts to cool the economy.