🚹 JUST IN: JPMORGAN — AI INFRASTRUCTURE COULD TRIPLE TO $1.4 TRILLION BY 2030

J.P. Morgan analysts project that **annual spending on AI infrastructure — including data centers, hardware, and support systems — could grow to about **$1.4 TRILLION per year by 2030, driven by exploding demand for compute power and AI deployment. $XRP

📌 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.ïżŒ

‱ GPUs, data centers, power, cooling, and networking gear are central drivers of this projected growth.$SOL

🌍 Why this matters:

‱ Trillions in capex spending represent a multi-year opportunity for tech and infrastructure investors. ïżŒ

‱ Reinforces AI’s role as a core engine of economic and technological transformation. ïżŒ

🧠 Big picture:$ETH

With compute demand exploding, AI is transitioning from software hype to physical build-out reality — and markets are beginning to price in the massive capital requirements behind the next generation of digital infrastructure.

#Binanceholdermmt #FOMCWatch #JPMorgan

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