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Oppenheimer Remains Bullish on Nvidia (NVDA) Amid Expanding AI Demand

Nvidia Corporation (NASDAQ:NVDA) is one of the top 10 picks from Harvard University’s stock portfolio. As of the end of Q1 2025, Harvard Management Co.’s portfolio indicates that the position in the stock has reduced by approximately 36% quarter-over-quarter to 507,831 shares (around 5% portfolio’s weight).

On June 16, Oppenheimer analyst Rick Schafer reiterated his Outperform rating on Nvidia (NASDAQ:NVDA), maintaining a price target of $175. His outlook reflects continued optimism around Nvidia’s central role in the AI infrastructure buildout, supported by recent insights from company leadership during Oppenheimer’s 23rd Annual Semiconductor Bus Tour and discussions with Nvidia’s CFO Colette Kress and IR Director Stewart Stecker.

Management is actively engaging with global policymakers to support sovereign AI infrastructure, a market Nvidia estimates could exceed $1.5 trillion in total addressable opportunity. Europe alone could account for $120 billion of that market, with demand generally scaling in line with GDP. According to Schafer, these discussions reinforce Nvidia’s first-mover advantage in the AI ecosystem.

Looking ahead, Nvidia expects large-scale AI data centers, or “AI factories”, to emerge within the next two to three years. A single gigawatt-scale facility could represent a $40–$50 billion market for Nvidia, with early deployments anticipated by 2027 and broader multi-gigawatt buildouts by 2028.

Nvidia’s AI revenue currently skews 60/40 between training and inference, but management expects inference to gain ground. The company’s full-stack approach — combining GPUs, networking, and software — remains well suited to both workloads, positioning it competitively as AI use cases diversify.

Schafer also highlighted NVLink Fusion, Nvidia’s new interconnect technology, which allows customers to mix CPU architectures (e.g., x86 alongside ARM-based Grace CPUs) without performance trade-offs, potentially broadening Nvidia’s addressable market.

While U.S. restrictions on AI chip exports have impacted sales to China, prompting a $4.5 billion write-down, management views the exposure as manageable, with China now contributing less than 5% of total revenue.

In summary, Schafer continues to see Nvidia as a leader in the AI space, backed by product strength, global momentum, and a deep pipeline of long-term opportunities.

Nvidia Corp. (NASDAQ:NVDA) is a leading innovator in the design and production of graphics processing units (GPUs), system-on-a-chip (SoC) solutions, and AI-driven hardware and software. The company’s GPUs are used in gaming, high-performance computing, AI training, and inference and serve as the backbone of data center infrastructure worldwide.

While we acknowledge the potential of NVDA as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you’re looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock.

READ NEXT: The Best and Worst Dow Stocks for the Next 12 Months and 10 Best Tech Stocks to Buy According to Billionaires.

Disclosure: None.

The $250 Trillion AI Hype is Real. A few years from now, you’ll probably wish you’d bought this stock.

When Jeff Bezos said that one breakthrough technology would shape Amazon’s destiny, even Wall Street’s biggest analysts were caught off guard.

Fast forward a year and Amazon’s new CEO Andy Jassy described generative AI as a “once-in-a-lifetime” technology that is already being used across Amazon to reinvent customer experiences.

At the 8th Future Investment Initiative conference, Elon Musk predicted that by 2040 there would be at least 10 billion humanoid robots, with each priced between $20,000 and $25,000.

Do the math. According to Musk, this technology could be worth $250 trillion by 2040.

Put another way, that’s roughly equal to:

  • 175 Teslas
  • 107 Amazons
  • 140 Metas
  • 84 Googles
  • 65 Microsofts
  • And 55 Nvidias

And here’s the wild part — this $250 trillion wave isn’t tied to one company, but to an entire ecosystem of AI innovators set to reshape the global economy.

It’s a leap so massive, it could reshape how businesses, governments, and consumers operate worldwide.

Even if that $250 trillion figure sounds ambitious, major firms like PwC and McKinsey still see AI unlocking multi-trillion-dollar potential.

How could anything be worth that much?

The answer lies in a breakthrough so powerful it’s redefining how humanity works, learns, and creates.

And this breakthrough has already set off a frenzy among hedge funds and Wall Street’s top investors.

What most investors don’t realize is that one under-owned company holds the key to this $250 trillion revolution.

In fact, Verge argues this company’s supercheap AI technology should concern rivals.

Before I reveal the details, let’s talk about how some of the richest people on the planet are positioning themselves.

  • Bill Gates sees artificial intelligence as the “biggest technological advance in my lifetime,” more transformative than the internet or personal computer, capable of improving healthcare, education, and addressing climate change.
  • Larry Ellison — through Oracle, is spending billions on Nvidia chips and partnering with Cohere to embed generative AI across Oracle’s cloud and apps.
  • Warren Buffett — not known for tech hype — says this breakthrough could have a ‘hugely beneficial social impact.

When billionaires from Silicon Valley to Wall Street line up behind the same idea — you know it’s worth paying attention to.

Even as we admire what Tesla, Nvidia, Alphabet, and Microsoft have built, we believe an even greater opportunity lies elsewhere…

But the real story isn’t Nvidia — it’s a much smaller company quietly improving the critical technology that makes this entire revolution possible.

And judging by what I’m hearing from both Silicon Valley insiders and Wall Street veterans…

This prediction might not be bold at all:

A few years from now, you’ll wish you’d owned this stock.

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