Gartner: Cost pressure to end independent operations for over 80% of neocloud providers by 2030
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Gartner forecasts that cost pressure will force more than 80% of neocloud providers to cease independent operations by 2030, while hyperscalers face less risk because their large, diversified revenue could plausibly sustain AI investments for years. Gartner also forecasts AI-optimized IaaS spending will grow from $66B in 2027 to $174B in 2030, a pace too low for most AI compute providers to recover their investments before current AI chips are replaced. AI data center owners would need $8.5T in cumulative revenue through 2030 to cover announced capex, financing costs and a 12% return on invested capital, yet Gartner forecasts attributable AI revenue of no more than $3.6T. On the current trajectory, more than $4T in asset value could be exposed to write-down risk through 2032, and Gartner does not expect the 12% return to be reached before the end of 2032.
Source report
Gartner predicts that cost pressure will force more than 80% of neocloud providers to cease independent operations by 2030.
Hyperscalers face less risk, as their large, diversified revenue could plausibly sustain AI investments for years.
AI-Optimized IaaS Spending Forecast
Gartner also forecasts that AI-optimized IaaS spending will grow from $66 billion in 2027 to $174 billion in 2030.
That growth is too low for most AI compute providers to recover their investments before current AI chips are replaced.
Revenue Gap and Write-Down Risk
AI data center owners would need $8.5 trillion in cumulative revenue through 2030 to cover announced capex, financing costs, and a 12% return on invested capital. Yet Gartner forecasts attributable AI revenue of no more than $3.6 trillion.
On the current trajectory, more than $4 trillion in asset value could be exposed to write-down risk through 2032. Gartner does not expect the 12% return to be reached before the end of 2032.
Source
rohanpaul_aiNeutral / independent