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 Alphabet Inc. (NASDAQ:GOOGL) 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

3. Alphabet Inc. (NASDAQ:GOOGL)

Alphabet Inc. (NASDAQ: GOOGL) earns the third position because it combines a surprisingly moderate earnings multiple with one of the strongest collections of AI assets in the world.

The company owns Google Search, YouTube, Google Cloud, Gemini, Waymo and a growing portfolio of custom AI processors. This creates several avenues for artificial intelligence monetization. AI can improve search results and advertising, attract cloud customers, increase subscription revenue, support autonomous transportation and reduce internal operating costs.

Google Cloud produced particularly impressive second-quarter 2026 results. Revenue climbed 82% to $24.8 billion, operating income more than tripled to $8.8 billion and the segment’s operating margin reached 35.6%. Cloud backlog increased to $514 billion, supported by strong demand for enterprise AI services and infrastructure.

Despite that growth, the shares traded at approximately $338.46 and only around 17 times trailing earnings. That valuation is lower than those of numerous slower-growing technology companies. Investors are clearly concerned that AI-generated answers could eventually weaken the traditional search advertising business.

That threat is legitimate, but the company controls its own leading AI models, enormous amounts of computing infrastructure and a distribution network reaching billions of users. It also generates enough cash to fund massive data-center investments without relying heavily on outside financing.

Its enormous market capitalization limits the likelihood of a rapid 10-fold return. Nevertheless, this is arguably the strongest risk-adjusted choice among the best AI stocks to buy now. It offers profitability, financial strength, multiple AI businesses and a valuation that does not appear to reflect the full growth of Google Cloud.

YOU MUST READ THIS: 10 Best Robotics Stocks to Buy Before the Robot Revolution Takes Off

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