As AI stocks keep driving market headlines in 2026, investors are asking a harder question than just “what’s up next?” Companies like SpaceX have already set the tone with the $60 billion acquisition of Cursor AI. But are there lesser-known names that still have enough operating leverage, backlog, or product traction to justify a much bigger move from here? Here is the top 5 list of Wealthier Today’s AI stocks that could still move much higher from here.
Mark Twain’s infamous statement “During the gold rush, sell the shovels” has rang true over the years, telling investors to take the road less traveled when it comes to making business decisions. This list follows a similar line of thought, looking at opportunities that investors may miss during the AI rush, and five stocks have stood out, including Innodata (INOD), BigBear.ai (BBAI), SoundHound AI (SOUN), Aehr Test Systems (AEHR), and Vertiv (VRT), all playing in very different parts of the AI economy.
Below is a chart showing the performances of the 5 AI stocks over the past year:
Note: 52-week price performances are based on live market data and market data pages accessed on June 19, 2026, and may change intraday.
Innodata (INOD): The Data Layer Investors Still Overlook
Innodata (INOD ) is the most obvious example of a company whose business model is intertwined with the AI buildout. Its 2025 annual report says the company supports the development, training, post-training, evaluation, and deployment of advanced AI systems, and that five of the so-called Magnificent Seven are among its customers. This means that it is a major driving force in the current AI market, making it an important player. In its May 7, 2026, first-quarter release, Innodata (INOD) reported 54% year-over-year revenue growth to $90.1 million and raised full-year 2026 growth guidance to about 40% or more.
This kind of growth is why Wealthier Today sees a bullish opportunity here. The argument for Innodata (INOD) is simple: If it keeps expanding beyond a few large customers, the market could eventually value it less like a services vendor and more like a strategic AI infrastructure partner. This could lead to a much bigger re-rating in AI stocks, especially if agentic AI and evaluation tools become recurring revenue engines.
BigBear.ai (BBAI): Backlog Matters More Than Sentiment
BigBear.ai (BBAI) remains a classic high-beta name, but the more useful bull argument is buried in the company’s order book. In its first-quarter 2026 release, BigBear.ai (BBAI) said its backlog rose to $281.9 million and total cash and investments stood at $431.5 million as of March 31, 2026. The company also confirmed that its full-year 2026 revenue guidance was targeted at $135 million to $165 million.
However, the bull case for this AI stock is not just profit; it is also the possibility that national security, border, and logistics contracts turn into a steadier software story over time. If management converts its backlog into repeatable revenue and continues to improve margins, BBAI could force investors to rethink its valuation. That is exactly the kind of setup that can produce outsized returns in AI stocks
SoundHound AI (SOUN): Voice AI, Acquisitions, and the Profitability Clock
SoundHound AI (SOUN) is one of the most visible pure-play AI stocks in the consumer-facing AI stack. In its May 7, 2026, first-quarter update, the company said revenue rose 52% year over year to $44.2 million, and it also reaffirmed 2026 revenue guidance of $225 million to $260 million. The company also highlighted its push into conversational and agentic AI.
The bull case is simple here. If SoundHound becomes the default voice layer across restaurants, automotive, customer service, and enterprise workflows, the market could reward it with a much higher revenue multiple. For that reason, SOUN is one of the clearest “high risk, high reward” entries among AI stocks.
Aehr Test Systems (AEHR): Tiny Revenue, Huge Swing Potential
Aehr Test Systems (AEHR) is probably the most explosive name on this list in terms of percentage gains, but it is also the most demanding in terms of valuation discipline. For one, its 2025 annual report says its solutions are used in AI compute data centers, electric vehicles, power infrastructure, and silicon photonics. However, the company also noted a backlog of $15.2 million at May 30, 2025, and that its offerings now include AI processor burn-in and packaged-part testing.
Its upside case depends on AI chip makers continuing to prioritize reliability testing as chips get more powerful and expensive. If wafer-level and package-level burn-in adoption broadens, the revenue base could grow far faster than current sales suggest. Nevertheless, AEHR’s recent price action already reflects a lot of hope, so this is the kind of AI stock name that drives a real conversation.
Vertiv (VRT): The Infrastructure Lever Behind the AI Trade
Vertiv (VRT) may be the most fundamentally proven business on the list. Its 2025 annual report says the company provides critical digital infrastructure for data centers and that it is aligned with next-generation rack-scale AI compute. Vertiv (VRT) also reported $15.0 billion in backlog and an adjusted operating margin of 23.2% in its February 11, 2026, update.
If AI datacenter buildouts remain strong, then Vertiv (VRT) could keep compounding through the resulting infrastructure demand. Compared with the more speculative names above, VRT already looks like the most durable way to participate in the AI bull market. It may not have the same lottery-ticket feel as some AI stocks, but it has the clearest earnings engine through infrastructure.
Why these AI stocks can still move much higher
Each of these names has already outperformed the broader market at different points in the cycle, but the bull case focuses on more than momentum. The real question is whether the markets they serve could become even larger if AI spending continues to rise.
A 5X outcome across any of these names would likely require a mix of rising earnings power, sustained AI spending, and a favorable market multiple across the entire space. While that is possible, it is not easy given how much the AI industry has already grown in such a short time, leading to calls for a bubble.
For readers building a broader AI watchlist, it is worth pairing this article with our guides on risk and reward, blockchain, how to invest in Bitcoin, and investing basics. Even within AI stocks, the difference between a good story and a great outcome usually comes down to execution, cash flow, and timing.
This is not financial advice. High-volatility stocks can fall as fast as they rise.