We recently published our article 5 Cheap AI Stocks That Could Make You a Millionaire. To read the full story, you can go directly to 10 Cheap AI Stocks That Could Make You a Millionaire. In this article, we discuss UiPath Inc. (NYSE:PATH) 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.

CHECK THIS OUT: Top 10 Best Stock Picks With Possible 500% Upside and 10 Stocks That Beat Wall Street at Its Own Game in Q2 2026.

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.

5 Cheap AI Stocks That Could Make You a Millionaire

5. UiPath Inc. (NYSE:PATH)

UiPath Inc. (NYSE: PATH) occupies the No. 5 position as one of the most compelling turnaround opportunities among automation and agentic AI stocks. At approximately $15.19 per share, the stock trades far below the excitement that surrounded its public-market debut.

The company originally became known for robotic process automation, which allows software robots to handle repetitive office tasks. Its future strategy is broader. The platform is now designed to coordinate AI agents, software robots, employees and business systems across entire workflows.

That orchestration layer could become increasingly valuable. Individual AI agents may be powerful, but large companies still need security, governance, accuracy and predictable execution. Businesses generally cannot allow autonomous systems to access sensitive financial, customer or operational data without appropriate controls. The company is betting that its automation experience will allow it to provide those controls.

Fiscal second-quarter 2027 revenue increased 13% to $410 million. Annual recurring revenue reached $1.938 billion, rising 12%, while the company produced both GAAP and adjusted operating income. It also held approximately $1.405 billion in cash, cash equivalents and marketable securities.

The cash position is particularly important because it gives management room to invest without immediately depending on additional financing. At a market capitalization of roughly $8 billion, the company is still small enough to become a significant multibagger if enterprise adoption accelerates.

The central risk is also obvious: generative AI could make traditional automation tools less necessary. Major cloud and enterprise-software companies are developing their own agents, creating intense competition. The investment thesis therefore depends on the platform becoming the trusted system that manages automation—not merely another tool that AI eventually replaces.

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Disclosure: No material interests to disclose. This article was originally published on Global Market Bulletin.