Hidden Costs of the AI Gold Rush

Hidden Costs of the AI Gold Rush

Over the past few years, spending across households, businesses, and governments has picked up. Inflation has lingered longer than many expected, and interest rates have moved higher. The economy is becoming more capital-intensive, with costs of labor, energy, materials, and equipment playing a bigger role in determining which companies succeed.

Artificial intelligence is central to this shift. Robert Almeida, a portfolio manager at MFS, notes that while AI has long-term potential to improve productivity, in the near term it is raising costs. Scaling AI requires massive physical investment in data centers, chips, power generation, cooling systems, and skilled labor.

Years of underinvestment have left infrastructure stretched, and demand for resources is rising faster than supply, pushing costs higher. Households feel it in rent, energy, food, and transportation; businesses face higher wages, logistics, and tech spending. These pressures reflect deep structural changes, not temporary issues.

For investors, the stakes are higher. Almeida emphasizes distinguishing companies with durable advantages from those facing hidden headwinds. The key question is not whether AI will drive productivity, but who bears the costs along the way.