SoftBank CEO Masayoshi Son told CNBC on Monday that the current wave of AI infrastructure investment is roughly 50 times larger than the dot-com boom of the early 2000s. Speaking in Paris, Son framed the comparison around capital deployment and long-term growth, not hype cycles.

“This is like more than 10x, probably 50x bigger than dotcom,” Son said, a day after SoftBank announced a €75 billion ($87 billion) commitment to build AI data center capacity in France, including 5 GW of total power. The investment includes 3.1 GW of dedicated AI data centers in the Hauts-de-France region, with sites in Dunkirk, Bosquel, and Bouchain slated for completion by 2031.

Son acknowledged that market corrections are inevitable—citing the 1929 Wall Street crash as a historical parallel—but argued that each correction was a buying opportunity in a century-long technology cycle. “Electronics and motorization crashed in 1929, but went up for the next 100 years,” he noted. For data engineers, the takeaway is clear: the underlying infrastructure buildout—power, cooling, networking, and compute—is the foundation, not a speculative bubble.

SoftBank is partnering with Schneider Electric to establish a large-scale industrial production hub in Dunkirk, focusing on electrical and cooling systems for high-density AI clusters. This move signals a shift from cloud-scale data centers to purpose-built AI facilities that demand higher power densities, advanced thermal management, and tighter integration with grid capacity.

Son emphasized that France could become Europe’s AI infrastructure hub, leveraging SoftBank’s existing U.S. momentum. For practitioners, the engineering challenge is less about AI models and more about scaling power delivery, supply chain logistics, and operational reliability at a pace that outpaces historical benchmarks.

Source: CNBC