đš JUST IN: JPMORGAN â AI INFRASTRUCTURE COULD TRIPLE TO $1.4 TRILLION BY 2030
J.P. Morgan analysts project that **annual spending on AI infrastructure â including data centers, hardware, and support systems â could grow to about **$1.4 TRILLION per year by 2030, driven by exploding demand for compute power and AI deployment. $XRP
đ Key takeaway:
âą This forecast highlights the largest infrastructure buildout in tech history, as companies rush to build the backbone needed for advanced AI models, services, and systems.ïżŒ
âą GPUs, data centers, power, cooling, and networking gear are central drivers of this projected growth.$SOL
đ Why this matters:
âą Trillions in capex spending represent a multi-year opportunity for tech and infrastructure investors. ïżŒ
âą Reinforces AIâs role as a core engine of economic and technological transformation. ïżŒ
đ§ Big picture:$ETH
With compute demand exploding, AI is transitioning from software hype to physical build-out reality â and markets are beginning to price in the massive capital requirements behind the next generation of digital infrastructure.
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