SKN | Bank of America Reaffirms Nvidia as Top AI Pick, Sees $1T Data Center Opportunity

      Key Points

• Bank of America reiterated a Buy rating on Nvidia with a $300 price target.
• Nvidia raised its data center sales outlook to $1 trillion+ through 2027, signaling massive AI-driven demand.
• Growth is expected to be driven primarily by hyperscalers, with enterprise and industrial demand also contributing.
  

  Bank of America reaffirmed its Buy rating on Nvidia, maintaining a $300 price target following meetings with management at GTC and discussions with the company’s CFO.

  The firm continues to view Nvidia as its top AI investment pick, citing strong visibility into long-term demand driven by data center expansion and artificial intelligence infrastructure.

  The valuation is based on a forward earnings multiple aligned with Nvidia’s historical range, reinforcing confidence in sustained growth.

  Data Center Outlook Doubles to $1 Trillion

  A key highlight from the update is Nvidia’s revised data center revenue opportunity, which has been increased from $500 billion+ (2025–2026) to $1 trillion+ (2025–2027).

  This expanded outlook reflects growing demand not only for GPUs, but also for related components such as CPUs and networking solutions.

  According to analysts, the revised forecast aligns closely with broader Wall Street expectations of roughly $970 billion in data center spending over the same period.

  Hyperscalers Lead AI Spending

  Nvidia expects approximately 60% of data center spending to come from major hyperscalers, with the remaining 40% driven by enterprise, industrial, and sovereign demand.

  This distribution highlights the continued dominance of large cloud providers in AI infrastructure investment, while also signaling expanding adoption across other sectors.

  The growing role of enterprise and government-backed AI initiatives could provide an additional layer of demand beyond traditional cloud players.

  Economics of AI Infrastructure

  The report also sheds light on the economics of large-scale AI infrastructure. Building 1 gigawatt of data center capacity is estimated to require around $40 billion in capital expenditure.

  Within that, Nvidia’s revenue opportunity is estimated at $20 billion to $30 billion, depending on the level of networking integration.

  This illustrates the company’s central role in the AI value chain, capturing a significant portion of total infrastructure spending.

  Risks to the Bullish Thesis

  Despite the strong outlook, analysts highlighted several risks that could impact performance.

  These include potential weakness in the gaming segment, increasing competition from other large technology firms, and regulatory or export restrictions—particularly related to shipments to China.

  Additional uncertainties include variability in enterprise demand, potential fluctuations in capital returns, and growing government scrutiny over Nvidia’s dominant position in AI chips.

  Outlook

  Nvidia remains at the center of the global AI investment cycle, with its expanded data center outlook reinforcing expectations of sustained long-term growth.

  While risks remain, Bank of America’s continued bullish stance reflects confidence that AI infrastructure spending will remain a powerful driver of revenue and valuation in the years ahead.

   

  For confidential inquiries, partnership opportunities, or deeper insights into AI infrastructure, semiconductor trends, and high-growth tech investments, interested parties are invited to reach out to our team directly for professional engagement.