The artificial intelligence (AI) revolution is reshaping the rules of the U.S. economy—but instead of launching a golden era of consumer prosperity, it’s triggering a massive, resource-intensive infrastructure surge that could leave average workers in the dust.
A newly released strategic report from Morgan Stanley Wealth Management notes the market has entered a “GenAI-capex-fueled” phase—marking a rare shift away from consumption-driven growth and toward an investment-led “reindustrialization renaissance.” The caveat? It’s vastly different from prior tech revolutions like the internet, personal computers, or mobile devices.
Lisa Shalett, chief investment officer at Morgan Stanley Wealth Management, states the current generative AI (GenAI) wave is “not clearly consumer-focused yet.” Instead, the expansion is deeply grounded in the physical world to meet massive computing demands.
Shalett’s team highlights that data center-related investment already made up a staggering 25% of annual GDP growth in 2025, and its expansion rate is multiples of projected real GDP growth. This enormous scale demands trillions in investment that will ripple through physical markets—directly affecting real estate, construction, power generation, and industrial metals. The firm argues this dynamic is spurring a multiyear period where “investment overtakes consumption as the growth driver during economic rebalancing.”
About those humans
While this infrastructure expansion boosts industrial metrics, the outlook for people is far less positive. Morgan Stanley cautions about “transformational risks to the labor market” posed by the spread of GenAI.
The report characterizes U.S. consumer prospects as ultimately “unimpressive,” burdened by “dampened sentiment, job insecurity, a low 3.6% savings rate, and increasing debt levels and credit delinquencies.” Moreover, the firm predicts consumption growth will likely slow due to a lackluster job market, aging demographics, and sluggish population growth—leaving the public stuck in “K-shaped economic dynamics” that widen inequality. This refers to a meme from the past five years that became reality: the wealthy and working class represent the branching lines of a “K,” rather than a “V-shaped” or “U-shaped” financial recovery.
Notably, this new model is also forcing a harsh reality check on tech giants. For years, U.S. indexes were led by “asset-light, recurring-revenue tech business models” that enjoyed near-zero marginal costs and ever-growing profit margins. But the GenAI revolution is fundamentally distinct: it’s a “cash-thirsty R&D arms race” with marginal-cost economics—meaning as tech companies gain more subscribers, they must simultaneously spend far more on critical “compute” capacity.
As a result, these once asset-light favorites are evolving into “capital-intensive, cash-flow-needy businesses.” Morgan Stanley bluntly states that for these hyper-scalers, “the era of multiple expansion driven by seemingly endless profit margin growth is likely over.”
Research chief equity strategist Savita Subramanian has about tech’s shift away from an asset-light model, while Silicon Valley executives are AI may have ended the , and even .
Ultimately, Morgan Stanley’s view of 2026 and beyond is one of significant economic realignment. The GenAI revolution may not be delivering a consumer utopia, but it’s powering a global, capital expenditure (capex)-driven infrastructure surge. This is an era where heavy machinery, power grids, and data centers take precedence—suggesting fundamentally that, at least for now, the AI boom benefits computers far more than it does humans.
For this story, journalists utilized generative AI as a research aid. An editor confirmed the information’s accuracy prior to publication.