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AI Spending Forecast Hits New Heights as Nvidia Reaffirms Trillion-Dollar Target
Nvidia's Jensen Huang reaffirmed his forecast that AI infrastructure spending will reach $3 trillion to $4 trillion by 2030 during the Goldman Sachs Communacopia + Technology Conference.
Supply chain constraints continue across both upstream components and downstream datacenter capacity, land, and power resources as companies add capacity to meet higher demand levels.
The analysts at Goldman Sachs noted that downstream constraints may prove more significant than supply chain issues.
AI inference is driving higher data usage for context windows, which increases demand for mass storage. The shift toward multi-chip integrated packages in AI infrastructure is also creating higher growth in advanced packaging and printed circuit board structures.