Gartner Says AI Data Center Capex Needs $8.5 Trillion, Faces Only $3.6 Trillion Revenue by 2030
Updated
Updated · Computerworld · Oct 16
Gartner Says AI Data Center Capex Needs $8.5 Trillion, Faces Only $3.6 Trillion Revenue by 2030
2 articles · Updated · Computerworld · Oct 16
Summary
$8.5 trillion in AI data center revenue would be needed through 2030 to cover announced spending, financing costs and expected returns, Gartner said, versus forecast attributable enterprise and consumer AI revenue of no more than $3.6 trillion.
That gap means investors are committing more to AI infrastructure than the market is likely to repay this decade, according to Gartner analyst Will Sommer.
More than 80% of neocloud providers could be forced to stop operating independently as cost pressure builds, while larger hyperscalers are seen as better able to absorb the strain.
Bain recently reached a similar conclusion, projecting annual AI infrastructure spending could hit $1.5 trillion by 2031 and require AI services revenue above $6 trillion a year to justify it.