Bank of America Analyst: AI Is Becoming “Deeply Embedded in Enterprise Workflows” as AI Spending Could Reach $1.5 Trillion

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By Thomas Richmond Published

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 projections 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.

  • Don't wait: the analyst who called NVIDIA in 2010 just revealed his top 10 AI stocks. See the full list FREE now.

Bank of America Analyst: AI Is Becoming “Deeply Embedded in Enterprise Workflows” as AI Spending Could Reach $1.5 Trillion

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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. And to deploy that AI, a lot of capex is required.”

The revenue base supporting that spend is compounding. Arya pointed out that combined annual recurring revenues at OpenAI and Anthropic already exceed the revenues of some of the largest software companies, giving hyperscalers reason to keep committing capital.

NVIDIA Remains the Biggest Winner in the AI Boom

NVIDIA Corporation (NASDAQ:NVDA | NVDA Price Prediction) is the clearest read on Arya’s thesis. Q1 FY2027 revenue reached $81.615 billion, up 85.23% year over year, with Data Center revenue of $75.246 billion (up 92%) and Networking of $14.8 billion (up 199%). CEO Jensen Huang described the buildout as “the largest infrastructure expansion in human history.” Supply commitments total $119.0 billion, and Q2 FY27 revenue is guided to $91.0 billion. NVIDIA trades at a forward P/E near 23.

Broadcom, TSMC, AMD and Micron All Benefiting From Spending Growth

Broadcom Inc (NASDAQ:AVGO) posted Q2 FY26 revenue of $22.19 billion, up 47.9%, with AI semiconductor revenue of $10.80 billion (up 143%). CEO Hock Tan guided Q3 AI semiconductor revenue to $16.0 billion, representing over 200% year-over-year growth, driven by custom accelerators and networking.

Taiwan Semiconductor Manufacturing (NYSE:TSM), the foundry backbone for the group, reported May 2026 revenue of NT$416.98 billion (up 30.1% year over year). TSM shares are up 43.59% year-to-date, and Polymarket traders are pricing roughly a 77% probability of Q2 revenue exceeding $40 billion.

Advanced Micro Devices (NASDAQ:AMD) shows the multi-vendor pattern Arya highlighted. Data Center revenue accelerated from 14% year over year in Q2 2025 to 57% in Q1 2026, hitting $5.78 billion. CEO Lisa Su said, “Customer engagement around MI450 Series and Helios is strengthening, with leading customer forecasts exceeding our initial expectations.” Meta committed to up to 6 gigawatts of AMD Instinct GPUs.

Memory is the other pillar. Micron Technology (NASDAQ:MU) posted Q3 FY2026 revenue of $41.456 billion, up 345.7%, with GAAP gross margin of 84.6% and Q4 guidance of $50.0 billion in revenue. CEO Sanjay Mehrotra said results “reflect the strategic value of memory in the AI era” and cited multi-year Strategic Customer Agreements.

Supply Constraints Are a Bullish Signal

Arya’s most contrarian point is that shortages are a feature, not a bug. “Every time they talk about their infrastructure, they talk about supply constraints. And I think that is very bullish for the semiconductor industry,” he said. He also pushed back on stranded capacity: “Even the chips that they deployed 6 or 7 years ago, the TPU chips at Google, or the Trainium chips or the Nvidia GPU chips… are fully utilized. There is no dark compute.”

The Biggest Catalysts for AI Chip Stocks Going Forward

Arya’s core message is that AI demand is being driven by a long-term infrastructure buildout rather than short-term market enthusiasm. As cloud providers continue raising capital spending plans, companies across the semiconductor supply chain, including NVIDIA, Broadcom, TSMC, AMD, and Micron, stand to benefit from sustained investment in AI hardware. While export restrictions and seasonal slowdowns could create near-term volatility, Arya believes the most important signal remains hyperscaler spending, which has continued moving higher rather than lower.

Contact [email protected] for any questions or corrections.

Photo of Thomas Richmond
About the Author Thomas Richmond →

Thomas Richmond is a financial writer and content strategist with 5+ years of experience covering stocks and financial markets. He has published over 250 articles focused on individual stock analysis, helping investors better understand business fundamentals, stock valuations, and long-term opportunities.

Thomas previously served as a Content Lead at TIKR, a stock research platform, where he helped scale the company’s blog to hundreds of articles per month and contributed to a weekly newsletter reaching more than 100,000 investors.

He specializes in breaking down complex companies into clear, actionable insights for everyday investors, with a focus on fundamentals-driven research.

His work has also been featured on platforms including Seeking Alpha and Sure Dividend.

Outside of work, Thomas enjoys weight lifting and soccer.

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