Blogs -This AI Stock Could Outpace Nvidia’s Returns by 2030

This AI Stock Could Outpace Nvidia’s Returns by 2030

July 03, 2024


Beth Kindig

Lead Tech Analyst

Lead Tech Analyst and CEO Beth Kindig recently joined Real Vision’s Nico Brugge to discuss her AI outlook on leading AI stock Nvidia, while sharing which AI stock she believes may outpace Nvidia’s returns through 2030.

This AI stock’s opportunity is in the AI inference market, which will begin to take shape when large language models (LLMs) migrate and operate locally on AI-capable client devices, such as PCs and smartphones. Kindig has boldly stated in Forbes, and on CNBC, and Bloomberg that Nvidia will reach a $10 trillion valuation by 2030. Yet, she believes this AI stock may outpace Nvidia’s stock and provide investors with a larger percentage return.

Click here to watch the full interview on RealVision.

We built a leading AI portfolio beginning with Nvidia’s AI thesis in 2018, with our AI allocation of 45% in 2023 helping push us to a 131% cumulative return since inception. Now, we’re closely tracking what we believe is one of the next explosive growth waves in AI – and it’s not the cloud. Learn more here.

Training Versus Inference

Nvidia had surged to briefly become the world’s most valuable company due to its impenetrable moat in the data center GPU market, which was built upon the CUDA software platform for the purposes of training AI models. Eventually, we will see a shift from AI training to AI inference, which leaves the market open for competitors.

Kindig explained in the interview with Brugge that Nvidia’s H100 transformer engine was the impetus for Chat-GPT’s moment. Chat-GPT, and its competitors, are essentially large R&D departments for training models. We are in the midst of AI training, and what follows will be the AI inference market. As Kindig explains, “when you take the models and you bring them to the edge, and you run those models and have it make predictions based on live data for actionable results, that’s inference.” She pointed out that “for the most part, it’s agreed that inference will be a larger market than training once the ecosystem is mature.”

Currently, there’s one primary headwind to the inference market; devices are not powerful enough to handle the requirements to run AI at the edge. Kindig says that “one of the things holding back inference is our client devices, so our PCs and mobile. Inference runs best close to the data, and we don’t have powerful enough devices for inference, for where AI needs to go.”

AI PCs are currently working on solving this critical bottleneck, with NPU, GPU and CPU equipped devices packing the necessary power and efficiency to operate AI models locally, on-device and without relying on data being sent to and from the cloud.

Kindig told Brugge on Real Vision that she believes one AI stock is well positioned to capitalize on the long-term opportunity arising in AI inference -- that stock is AMD.

Why AMD Can Outpace Nvidia Through 2030

Nvidia will need to rise nearly 250% by 2030 to reach Kindig’s $10 trillion target, yet she thinks AMD has the potential to provide a larger return over that time frame.

She told Brugge that her “time horizon would be that we see really nice movement by 2027, but we really need this 2030 time period to play out, and there’s a few reasons. Number one, Nvidia has the training market cornered right now. Training requires a lot of compute power, and they’ve gone through architectural changes that have defied Moore’s Law. This is things like Tensor Cores, which do matrix computations; floating-point precision, moving from 16 point [FP16] to 8 point [FP8], [the transformer engine switches back and forth which] increases accuracy while also increasing speed [depending on the workload]. So, all of those things, Nvidia has 98% of the GPU market and is crushing it, but a lot of that is training.”

Core to this thesis on AMD is giving time for the budding inference market to take off and mature – Kindig explains that “where AMD is going to compete with Nvidia is a market that is very early, so we need time for that to mature, which is inference. Many people may get that confused, because we are fully in the AI market today because Nvidia is putting up those huge data center numbers. We are in the data center training market today; one day, we will be an AI market led by inference.”

Kindig told Brugge that there are a “few reasons” that AMD could do better than Nvidia in inference and etch a niche, with the primary reason being that inference is “one way to circumvent CUDA.” CUDA is Nvidia’s proprietary software stack that has essentially locked developers into its GPU ecosystem, and what has driven its ~98% market share in AI GPUs.

For a deep dive on CUDA and how it’s Nvidia’s moat and first line of defense in the AI accelerator market, read more here and here.

How AMD Can Fend Off Nvidia

AMD is equal to Nvidia on hardware in many regards, but CUDA has locked in Nvidia’s monopoly; however, it’s likely that Big Tech and developers will seek alternatives to CUDA to limit reliance on Nvidia for the entirety of the hardware stack for AI development.  

Kindig notes that CUDA will be the “biggest hurdle for sure” for AMD to compete against, “but after that, it’s probably product roadmap versus product roadmap, meaning that for everything AMD does, can Nvidia do better, by 6 months.”  Put differently, Nvidia took the industry by storm with its transformer engine-equipped H100s, which saw extreme demand outstrip supply for multiple quarters. No company could compete at the time with a similarly spec’d GPU that could provide the same level of AI computing performance.

Now, AMD is accelerating its product roadmap cycle to align with Nvidia’s, after being a generation behind. AMD is aiming to launch its MI400 lineup in 2026 alongside Nvidia’s Rubin platform, catching up in the release cycle after being behind the GB200 with its MI350x accelerators.

AMD has an edge over Nvidia in that it is undercutting them quite heavily on price, though this is detrimental to margins and thus bottom line growth. Kindig explains that this “incentive of saving $20,000 or more [per GPU] is big enough for these companies that are building these huge data centers, that they’re likely to try their very best to make this work with their in-house engineering departments. This is Big Tech only. This will not apply to enterprises or small businesses, which won’t have the time or resources to do anything other than CUDA.”

At scale, that $20,000 savings for a GPU with similar compute performance capabilities and similar memory bandwidth, albeit with AMD’s software instead of CUDA, can entice companies to shift towards allocating some of the tens of billions flowing to Nvidia’s chips to AMD in the long-run.

For example, Microsoft is reportedly aiming to triple its GPU supply this year, from 600,000 GPUs to 1.8 million GPUs, and is a customer of both Nvidia and AMD. As AI accelerator purchases increase in size and scale, with upgrades to the latest generation for performance improvements and decreasing TCOs, Big Tech can save billions by allocating a fraction to AMD – hypothetically speaking, allocating one-third of a 1.2 million GPU purchase could save $8 billion with AMD’s pricing. That $8 billion could then be deployed to purchase more GPUs, train the next generation of AI models, and otherwise remain ahead of stiff competition.

Kindig explains that this is both an “opportunity and a risk that AMD undercut so much on price, because their margins will not look as good as Nvidia’s. Nvidia has been an amazing stock not only because of these revenue beats, but because the margins and the pricing power that CUDA has created” has driven 600% growth on the bottom line that AMD won’t be able to replicate.

Analysts foresee strong growth for AMD on both the top and bottom lines over the next few years, though it pales in comparison to Nvidia’s streak of blazing triple-digit growth rates. AMD’s revenue growth is forecast to accelerate from under 13% in 2024 to 28% in 2025, before moderating to 18% in 2026. Adjusted EPS growth is expected to accelerate from 32% to 59% in 2025.

amd revenue adjusted eps estimates

Source: Seeking Alpha

While it is by no means the triple digit growth that Nvidia has been putting up, these top and bottom line accelerations are what has been rewarded by the market, especially for AI stocks. Because of the differing growth rates, AMD trades at a cheaper valuation than Nvidia: currently, AMD is valued at 7.8x 2025 revenue and 28.3x adjusted EPS, versus 19.2x revenue and 34.7x adjusted EPS for Nvidia for the same period. However, both companies are currently trading above long-term historical averages for these valuation multiples, with AMD trading above its 10-year average 4.3x revenue multiple and Nvidia above its 10-year average of 14.0x revenue.


Nvidia has greatly rewarded investors as it quickly ascended to be the pinnacle of the generative AI revolution of 2023 and 2024, with revenue consistently exceeding expectations so far on robust demand. Beth Kindig and the I/O Fund have projected Nvidia to potentially rise to a $10 trillion valuation by 2030 on strong data center growth from its rapid GPU roadmap and upcoming software and automotive opportunities, but Kindig believes that AMD and its opportunity in AI inference may help the stock outpace Nvidia’s projected 250% return through 2030.

Click here to watch the full interview on RealVision.

For more insights on AMD, consistent deep dive research on AI stocks and mega-trends, weekly webinars with AI stock and broad market outlooks, real-time trade alerts on AI stock buys and sells, consider taking a look at the I/O Fund’s premium services here.

Disclaimer: The I/O Fund conducts research and draws conclusions for the company’s portfolio. We then share that information with our readers and offer real-time trade notifications. This is not a guarantee of a stock’s performance and it is not financial advice. Please consult your personal financial advisor before buying any stock in the companies mentioned in this analysis. Beth Kindig and the I/O Fund own shares in NVDA and AMD at the time of writing and may own stocks pictured in the charts.

Recommended Reading:

Gains of up to 2,390% from our Free Newsletter.

Here are sample stock gains from the I/O Fund’s newsletter --- produced weekly and all for free!

+2,390% on Nvidia

+450% on Bitcoin

*as of Jun 25, 2024

Our newsletter provides an edge in the world’s most valuable industry – technology. Due to the enormous gains from this particular industry, we think it’s essential that every stock investor have a credible source who specializes in tech. Subscribe for Free Weekly Analysis on the Best Tech Stocks.

If you are a more serious investor, we have a premium service that offers lower entries and real-time trade alerts. Sample returns on the premium site include 3,900% on Nvidia, 850% on Chainlink, and 695% on Bitcoin. The I/O Fund is audited annually to prove it’s one of the best-performing Funds on the market, with returns that beat Wall Street funds.


More To Explore


Tesla’s Q2 Deliveries Strong, But What’s To Come?

After months of being the lowest performing Mag 7 stocks, Tesla saw rapid gains — up 42% in a one month rally, with 37% of those gains in eight sessions — after it reported Q2 deliveries ahead of expe

July 16, 2024
Knox at SA conference

How to Participate in Tech: The Million Dollar Question (Video Highlights)

With audited returns of 131% since inception, compared to the NASDAQ-100’s 82%, portfolio manager, Knox Ridley, lays out how we have successfully maintained an overexposure to the right tech stocks, w

July 03, 2024
This AI Stock Could Outpace Nvidia’s Returns by 2030

This AI Stock Could Outpace Nvidia’s Returns by 2030

Lead Tech Analyst and CEO Beth Kindig recently joined Real Vision’s Nico Brugge to discuss her AI outlook on leading AI stock Nvidia, while sharing which AI stock she believes may outpace Nvidia’s ret

July 03, 2024,compress

AI PC Stocks: Emerging 2024 And 2025 Story

Currently, there is a major bottleneck right now for AI applications to where client devices are not powerful enough or energy efficient enough to leverage AI capabilities at the edge.

July 01, 2024
AI image

AI Power Consumption: Rapidly Becoming Mission-Critical

Big Tech is spending tens of billions quarterly on AI accelerators, which has led to an exponential increase in power consumption. Over the past few months, multiple forecasts and data points reveal s

June 24, 2024
With Bitcoin at All-Time Highs, Here’s What’s Next for COIN, HOOD

With Bitcoin at All-Time Highs, Here’s What’s Next for COIN, HOOD

Bitcoin and the spot BTC ETFs have clearly seen strong investor appetite since the approval in the beginning of the year. Alongside strong initial adoption of the new ETF class, we’re also seeing majo

June 13, 2024
Jensen Huang Presentation

Here's Why Nvidia Stock Will Reach $10 Trillion Market Cap By 2030

I believe Nvidia can achieve an astonishing $10 trillion market cap by 2030. As you’ll see from the key points to my thesis, there is a bull case where a $10T market cap estimate in a little over six

June 10, 2024
TSMC Building

Taiwan Semiconductor Stock: April Sales Soar From Advanced Nodes

Despite warning of a slowdown in the broader semiconductor industry this year, TSMC’s April sales surged 60% YoY and 21% MoM. This marks a positive start to the 20-percentage point acceleration to 33%

June 02, 2024
Jensen Huang Presentation

Nvidia Q1 Earnings Preview: Blackwell And The $200B Data Center

Nvidia’s management team will focus on the H200 in the upcoming earnings call, but make no mistake, we will end this year in full-on Blackwell territory. The new architecture is at the forefront of tr

May 28, 2024
Amazon Building

Amazon Stock: Nearing $2 Trillion Club From AWS Growth & Ads Catalyst

Amazon is on the verge of joining the $2 Trillion Club, driven by a 4-percentage point accelerating in AWS to 17% YoY growth combined with strong 25% growth in advertising revenue.

May 21, 2024

Sign up for Analysis on
the Best Tech Stocks
The I/O Fund specializes in tech growth stocks and offers in-depth research for Premium Members. Investors get access to a transparent portfolio, a forum, webinars, and real-time trade notifications. Sign up for Premium.

We are on social networks

Copyright © 2010 - 2024