đ¨ 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. $XRP
đ Key takeaway:
⢠This forecast highlights the largest infrastructure buildout in tech history, as companies rush to build the backbone needed for advanced AI models, services, and systems.￟
⢠GPUs, data centers, power, cooling, and networking gear are central drivers of this projected growth.$SOL
đ Why this matters:
⢠Trillions in capex spending represent a multi-year opportunity for tech and infrastructure investors. ￟
⢠Reinforces AIâs role as a core engine of economic and technological transformation. ďżź
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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