We recently published our article 10 Cheap AI Stocks That Could Make You a Millionaire. In this article, we discuss SoundHound AI Inc. (NASDAQ:SOUN) as one of the stocks gaining attention, and here’s a closer look at why it stands out in today’s market.
Artificial intelligence is no longer confined to Silicon Valley laboratories or science-fiction movies. It is already changing cloud computing, semiconductor production, customer service, digital advertising, defense, automation and creative software. Interestingly, the term “artificial intelligence” was introduced in 1956, but it took decades of advances in computing power, data and cloud infrastructure to turn AI into a major commercial industry.
The opportunity is also much bigger than chatbots. Every AI application depends on processors, advanced semiconductor packaging, servers, storage systems and high-speed networks. Businesses are also adopting AI agents to answer calls, automate office tasks, analyze information and create digital content. This expanding ecosystem has encouraged investors to search for the best cheap AI stocks to buy now.
What Really Makes an AI Stock Cheap?
A low share price does not automatically make a company undervalued. A $5 AI stock can still be expensive if the business generates little revenue, continues losing money and repeatedly issues new shares. Meanwhile, a profitable company trading above $100 may qualify as one of the best undervalued AI stocks if its earnings, cash flow and growth potential support a much higher valuation.
For this reason, experienced investors examine price-to-earnings ratios, price-to-sales multiples, revenue growth, free cash flow, debt and shareholder dilution. The strongest artificial intelligence stocks usually combine genuine AI exposure with an established business model, improving financial performance and a valuation that still leaves room for long-term growth.
Can AI Stocks Really Make Investors Millionaires?
The millionaire potential makes a powerful headline, but the mathematics should remain clear. Turning $10,000 into $1 million requires a 100-fold return. Such gains can happen, particularly among successful small-cap growth stocks, but they are extremely rare and normally require years of strong execution.
Artificial intelligence has also experienced several boom-and-bust periods known as “AI winters.” The present AI boom has much stronger commercial foundations, but revolutionary technology does not guarantee that every company will succeed. The internet changed the world, yet many internet stocks disappeared after the dot-com bubble.
How the 10 Cheap AI Stocks Were Selected
This ranking considers valuation, AI-related revenue potential, financial strength, competitive advantages, business momentum and long-term growth opportunities. Companies were penalized for continuing losses, excessive dilution, weak balance sheets, customer concentration and uncertain paths to profitability.
The final list includes AI software stocks, semiconductor companies, cloud-computing providers, automation specialists, conversational AI developers and data-center infrastructure businesses trading on the New York Stock Exchange and Nasdaq. Market prices and valuation figures are based on the latest available U.S. trading data as of September 4, 2026.
The countdown begins with the most speculative selection at No. 10 and ends with the strongest risk-adjusted AI stock at No. 1. None can guarantee millionaire-making returns, but each provides a different way to participate in the continuing artificial intelligence revolution.
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Our Methodology
To come up with our list of the 10 Cheap AI Stocks That Could Make You a Millionaire, we ranked each company based on its valuation, AI exposure, growth potential, financial strength, competitive advantages and overall investment risk.
10 Cheap AI Stocks That Could Make You a Millionaire
9. SoundHound AI Inc. (NASDAQ:SOUN)
SoundHound AI, Inc. (NASDAQ: SOUN) ranks ninth because it combines exceptionally strong revenue growth with equally significant financial and execution risks. Trading at approximately $6.74, it is one of the most recognizable low-priced AI stocks available on Nasdaq.
The company specializes in voice and conversational artificial intelligence. Its technology allows customers to speak naturally with AI systems inside vehicles, restaurants, healthcare organizations and customer-service platforms. Unlike basic voice assistants that can only follow limited commands, its platform is being developed to understand conversations, complete transactions and perform actions across different digital and physical channels.
Revenue reached a record $61.9 million during the second quarter of 2026, increasing 45% from the same period a year earlier. That growth was supported by broader adoption of its OASYS agentic AI platform and expanding enterprise applications. The company subsequently completed its acquisition of LivePerson, bringing together voice-based AI and digital customer messaging under one organization. The combined business immediately gained access to customers that include 25 Fortune 100 companies and an intellectual-property portfolio containing more than 750 patents.
This is one of the more intriguing generative AI stocks because conversational systems could eventually handle millions of interactions currently performed by human employees. A successful expansion across automotive, restaurant and enterprise markets could create a much larger recurring-revenue business.
The catch is that rapid growth has not yet translated into dependable profitability. Acquisitions create integration risks, while stock-based funding and capital requirements can dilute shareholders. The market capitalization also approaches $3 billion, meaning the company is not automatically undervalued simply because each share costs less than $10.
The upside could be substantial if management converts revenue growth into positive cash flow. Until then, this remains a high-risk AI stock for investors willing to tolerate extreme volatility.
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Disclosure: No material interests to disclose. This article was originally published on Global Market Bulletin.
