Goldman Sachs has highlighted that while artificial intelligence (AI) holds the promise of significant long-term economic benefits through productivity gains, its current widespread infrastructure expansion is actually contributing to inflationary pressures. The financial institution, along with others like J.P. Morgan Asset Management and Stifel, cautions that AI-driven investments in computing power, data centers, and related technologies are pushing up costs in the near term, delaying the productivity dividend that could fuel economic growth and disinflation. Economist Manuel Abecasis from Goldman Sachs estimated that AI-related cost pressures have added approximately 0.3 percentage points to annual core personal consumption expenditures inflation and 0.1 percentage points to core consumer price index increases over the past year. Key inflation contributors include climbing electricity demands to power AI data centers, leading to higher energy prices in some U.S. regions, as well as costs associated with computer hardware and AI-specific surcharges. Goldman Sachs expects this inflationary effect to persist for a few more years before AI’s efficiency returns begin to reduce inflation and enhance productivity more visibly. This situation also coincides with a degree of skepticism among younger generations, such as Gen Z, toward the hype surrounding AI’s economic impact. The overarching view is that while AI will eventually play a transformative role in revitalizing the economy, policymakers and businesses must navigate a transitional period marked by added expenses and inflationary challenges.
