The sharp increase in artificial intelligence (AI) investments is emerging as a new powerful engine of global economic growth, yet it also brings unexpected macroeconomic risks. Massive capital inflows into the technology sector are radically altering the demand structure for key resources, creating conditions for a new wave of inflationary pressure in global markets.
2027 Inflationary Threats and the Fed's Stance
Leading economic analysts and regulatory representatives are hardening their assessments of the technology boom's consequences. US Federal Reserve Governor Lisa Cook warned on October 2, 2026, that unprecedented investments in artificial intelligence could become a major source of inflationary pressure that the Fed must closely monitor looking into 2027. The surging demand for specialized chips, software, data centers, and skilled labor is generating severe strain in the real economy.
Investment Scale and Infrastructure Boom
Financial injections into AI infrastructure are staggering. According to analytical agencies, tech giants Amazon, Alphabet, Microsoft, and Meta plan to spend a total of roughly $650 billion in 2026, significantly higher than the roughly $400 billion spent in 2025. Concurrently, players like OpenAI, Oracle, and SoftBank are advancing the ambitious Stargate project, planning to invest up to $500 billion in US AI infrastructure over several years. Such initiatives push artificial intelligence far beyond a typical technology upgrade cycle, turning it into a core driver of industrial demand.
Production Bottlenecks and Resource Shortages
The primary challenge is that modern AI requires immense physical infrastructure. Building data centers entails consuming enormous amounts of electricity, semiconductors, networking equipment, steel, and copper. Demand for these resources is outstripping suppliers' ability to scale production, driving up costs. In turn, resource shortages and fierce competition for specialized talent inevitably lead to higher wages and increased end-consumer prices, presenting central banks with a complex monetary policy dilemma.
