Nvidia forecasts $4 trillion data-centre spend as AI infrastructure reshapes consumer costs
The chipmaker’s first-quarter fiscal 2027 revenue surged 85% to $81.6 billion, driven by a 92% jump in data-centre sales, even as analysts highlight the broader economic impact of surging power demand.
Nvidia chief executive Jensen Huang has projected that global annual capital expenditure for data centres will reach between $3 trillion and $4 trillion by the end of the decade, a figure that significantly exceeds prevailing Wall Street consensus estimates. The forecast, delivered during the company’s first-quarter fiscal 2027 earnings call, underscores a stark divergence in expectations regarding the trajectory of artificial intelligence infrastructure spending over the next several years.
The projection coincides with Nvidia reporting an 85% year-on-year revenue increase to $81.6 billion for the first quarter of fiscal 2027. This growth was primarily driven by a 92% surge in data-centre revenue, which climbed to $75.2 billion. The company has guided for $91 billion in second-quarter revenue, a figure that excludes data-centre compute revenue from China due to ongoing export restrictions.
The gap between Huang’s outlook and market expectations is substantial. Needham analyst Laura Martin noted that industry participants expect hyperscale cloud providers to reach approximately $1.03 trillion in annual capital expenditure by 2028, making Nvidia’s projection roughly four times the prevailing consensus. Bank of America analyst Vivek Arya has also revised his total addressable market estimate for AI data-centre systems to $1.7 trillion by 2030, up from a prior estimate of $1.4 trillion, reflecting the rapid shift in spending assumptions.
Nvidia’s market capitalisation currently stands near $4.9 trillion, trading closely with Apple. Despite the strong fundamentals, Morgan Stanley analyst Joseph Moore has highlighted concerns about the stock’s longevity, noting that the share price has stalled despite improving business metrics. However, Moore pointed to hyperscalers signing three-year supply contracts, some with full upfront prepayments, as a signal of durability in the sector.
Beyond the balance sheet, the rapid expansion of AI infrastructure is beginning to impact consumer costs. Goldman Sachs analysts forecast that consumer electricity inflation will run at approximately 6% through 2026 and 2027, easing to 3.5% in 2028. With data-centres projected to account for 40% of total electricity demand growth over the next five years, the burden is expected to fall disproportionately on lower-income households, potentially reducing consumer spending growth by 0.2% through 2027.
