Jensen Huang has a number he likes, and he is sticking to it. At the Goldman Sachs Communacopia + Technology Conference on September 10, 2026, Nvidia’s CEO reaffirmed his forecast that global AI infrastructure spending will reach somewhere between $3 trillion and $4 trillion annually by the end of the decade. Notably, he made the exact same call at the exact same conference a year earlier. The numbers behind the confidence Nvidia reported fiscal Q2 2027 revenues of $96.2 billion, a figure that represents 106% growth year-over-year. Of that total, $89 billion came from data center operations alone. Huang attributed the acceleration partly to the death of Moore’s Law. Traditional chip improvements, the reliable doubling of transistor density every couple of years, have effectively stalled. That forces companies chasing AI performance to buy more specialized hardware rather than wait for the next silicon generation to bail them out. Supply, however, is not keeping up with demand. Huang flagged memory chip availability as the primary bottleneck currently limiting Nvidia’s ability to ship more product. On the product pricing side, the numbers tell their own story. Nvidia’s Hopper-genera...
Nvidia CEO Jensen Huang reaffirms $3T-$4T AI spending forecast by 2030
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