Bank of America Analyst: AI Is Becoming “Deeply Embedded in Enterprise Workflows” as AI Spending Could Reach $1.5 Trillion Quick Read – NVDA posted $82B in Q1 revenue, up 85%, while AVGO guided AI chip revenue to $16B next quarter, over 200% year-over-year growth. – Cloud capex…
ojections jumped from ~$650B to nearly $1T in 2026, with Arya forecasting another 40% rise to $1.5T in 2027. – Arya argues persistent chip shortages signal insatiable demand, noting even 7-year-old GPUs remain fully utilized with zero dark compute sitting idle. – Bank of America Securities Senior Semiconductor Analyst Vivek Arya believes the AI-driven semiconductor boom is still in its early stages. In a recent CNBC interview, he argued that demand for AI infrastructure continues to accelerate as artificial intelligence becomes an essential part of enterprise software. “AI is going from being just kind of a proof of concept, a novelty and experimentation to being deeply embedded in enterprise workflows,” Arya said
The numbers support his optimism. The Philadelphia Semiconductor Index is up nearly 80% year-to-date through early July 2026, as the industry’s growth has accelerated dramatically. It took roughly 50 years for cumulative semiconductor sales to reach $1 trillion, then just five more years to add another $1 trillion, driven by an AI infrastructure spending boom that keeps getting revised higher.
AI Spending Is Exploding Faster Than Wall Street Expected Arya’s clearest data point on the demand side came on hyperscaler spending. “When we started the year, we were thinking that cloud capex this year would be $6 to $700 billion… nowadays, getting close to $1 trillion. And if our projections are right next year, we could be looking at cloud capex that is up another 40 to 50% towards $1.4 to $1.5 trillion,” he said. He added that “AI is becoming more of a necessity.