Artificial intelligence (AI), while offering significant potential benefits, is also contributing to rising costs for consumers in the United States, experts say. Even individuals who do not directly use AI technologies may be feeling the financial impact as the technology drives inflation and affects various sectors of the economy.
Mark Zandi, chief economist at Moody’s Analytics, highlighted that households are spending roughly $375 more annually to purchase the same goods and services compared to the previous year, attributing part of this increase to AI’s inflationary influence. This effect contributes to an ongoing affordability challenge fueled by higher living expenses, sluggish wage growth, and elevated prices overall.
One of the primary drivers of this cost increase is the growing demand for electricity linked to AI operations. Energy-intensive AI data centers require substantial computing power, leading to a surge in electricity consumption. According to a study by the MIT Energy Initiative, data centers accounted for about 4.4% of all electricity used in the United States in 2023, a figure expected to more than double by 2030. Utilities often transfer these higher operational costs to consumers through increased electric bills.
AI’s ripple effects extend beyond energy prices. The construction industry has experienced pressures due to the rapid expansion of data centers, which require significant building resources. This surge has diverted labor and materials away from residential projects and strained supplies of key components such as electrical wiring and copper. Copper prices reached record highs earlier this year, reflecting these supply constraints.
In addition, computer prices, including laptops, desktops, and smartphones, have risen after years of decline. This trend is largely attributed to a shortage of memory chips used in AI systems. With just three major manufacturers producing the high-bandwidth memory essential for AI data centers, demand has outpaced supply, driving prices upward, as reported by industry analysts.
AI’s impact on the labor market also raises concerns. Boston Consulting Group (BCG) projects that within the next five years, AI could replace 10% to 15% of jobs in the United States. Furthermore, BCG estimates that AI will “reshape” between 50% and 55% of American jobs in the next three years, altering the nature of work even in positions that remain.
Matthew Kropp, managing director and senior partner at BCG, noted that while some jobs may survive, “what people do in these jobs will be different,” emphasizing the transformative effect AI is expected to have on the workforce.
As AI continues to develop and integrate into various facets of the economy, the direct and indirect financial consequences are becoming increasingly apparent, contributing to higher costs for consumers and shifts in employment patterns nationwide.
