Gartner Forecasts Trillion-Dollar Write-Downs in AI Infrastructure
Gartner warns that AI infrastructure spending could hit $7 trillion by 2030, while projected revenue remains insufficient, risking over $3.5 trillion in asset write-downs.

Gartner warns that AI infrastructure spending could hit $7 trillion by 2030, while projected revenue remains insufficient, risking over $3.5 trillion in asset write-downs.

Gartner's CTEM framework aims to reduce breach frequency by focusing on business-critical exposure, though full operational adoption remains at 16% as of 2025-2026.

Global PC shipments fell by 22.4% to 55.35 million units in the third quarter, driven by rising component costs and reduced consumer demand.

Gartner predicts that by 2029, companies will be forced to rehire one-third of staff previously laid off due to AI implementation, often at a higher cost than initial savings.

Contact centers are shifting from traditional performance metrics to outcome-based scoring as AI adoption aims to cut labor costs by $80 billion this year.
