In this piece, we will shed light on the 10 Best Low-Priced AI Stocks to Buy Now.
The growing influence of Artificial Intelligence is seen across all markets.
According to Reuters, sectors such as travel platforms and financial data providers are starting to feel the impact of Artificial Intelligence (AI), which continues to reshape industries. The technology is not only disrupting the market but also creating new opportunities for investors.
Earlier, concerns arose that AI chatbots could hamper the business of online travel agencies by bypassing intermediaries and dominating travel planning and booking.
However, reports came out on March 5, 2026, that OpenAI will not pursue its plans to integrate direct booking into ChatGPT. Instead, the AI research organization will focus on enabling checkouts through third-party apps integrated with ChatGPT. With this, platforms such as Expedia and Booking Holdings can accelerate user engagement through AI-driven interfaces.
At the same time, AI’s role across the software and data industry remains strong, with AI disruption fears continuing to weigh down on valuations. Reuters reported on March 5, 2026, that uncertainty is at its peak regarding whether AI could pull off the information and advisory services that companies like FactSet and its peers sell. As a result of this, these stocks have experienced sharp share price declines.
Meanwhile, the U.S. government is increasingly focusing on building control over AI infrastructure. On March 5, 2026, Reuters reported that debates are emerging over rules governing exports of advanced AI chips. According to the proposed policy, foreign governments would be required to either provide security guarantees or make investments in U.S. data centers to access large quantities of chips.
While there remain a dozen concerns surrounding the AI boom, enterprise leaders are seen reaping its benefits. Tech giants such as Salesforce are reporting significant enhancements to their products. Salesforce’s CEO appeared on CNBC on March 5, 2026, saying that its AI systems now qualify tens of thousands of sales leads weekly and handle millions of customer service inquiries.
With that backdrop, low-priced AI stocks could help investors capitalize on the growing penetration of AI across industries. Therefore, we present here our list of the 10 best low-priced AI stocks to buy now.
Photo by NeONBRAND on Unsplash
Methodology
To curate our list of the 10 best low-priced AI stocks to buy now, we used screeners to identify AI stocks trading below $50 per share and limited our final selection to companies that have recently reported noteworthy developments likely to impact investor sentiment. These AI stocks were defined as companies considered either pure-play AI firms or beneficiaries of AI technology. These stocks are also popular among analysts and elite hedge funds.
Note: All data is as of March 4, 2026.
Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 427.7% since May 2014, beating its benchmark by 264 percentage points (see more details here).
10. Figma, Inc. (NYSE:FIG)
Figma, Inc. (NYSE:FIG) is one of the 10 best low-priced AI stocks to buy now.
Figma, Inc.’s shares have fallen more than 60% since its IPO in July 2025. This value is roughly twice the 30% decrease in the applications industry as a whole. As of March 4, 2026, sentiment is still restrained, with a consensus price target of $35.00 suggesting an upside of slightly more than 10%.
RBC Capital on February 19, 2026, highlighted solid fundamentals, robust gross margins, and growing AI-native monetization through Dev Mode and Figma Make, reaffirming its “Sector Perform” rating and raising its price target from $31 to $38.
However, despite convincing fourth-quarter results, RBC refrained from turning bullish on the stock while awaiting a more attractive entry point. Among analysts who lowered their price targets that same day were Morgan Stanley, Goldman Sachs, and Stifel, citing a cautious approach.
Investors are divided over whether Figma’s AI-driven growth narrative can support its valuation amid persistent industry pressure.
Figma, Inc. is a cloud-based, AI-powered design software platform that enables real-time collaboration across product development using tools such as Figma Design, FigJam, Dev Mode, and Figma Make for organizations worldwide.
9. Dynatrace, Inc. (NYSE:DT)
Trading under $50 and boasting strong analyst and hedge fund interest, Dynatrace, Inc. (NYSE:DT) secures a spot on our list of the 10 best low-priced AI stocks to buy now.
Shares of Dynatrace, Inc. (NYSE:DT) remain under pressure. They have dropped over 25% in the last six months and more than 30% over the previous year. The reason for this has been weakness in the software industry rather than company-specific difficulties. Yet, as of March 4, 2026, sentiment remains positive, with 73% of analysts remaining bullish and a median target of $50.00, suggesting a 34.26% upside.
Selective caution has been evident in recent analyst calls.
On February 27, 2026, Macquarie initiated Dynatrace, Inc. (NYSE:DT) with a Neutral rating and a $36 price target, noting declining metrics and intense competition despite advancements in full-stack observability.
Following an Anthropic briefing on February 24, 2026, Truist highlighted agentic AI themes and identified Dynatrace, Inc. (NYSE:DT) as a possible beneficiary of growing industry attention on data unification and observability.
At the same time, Wedbush lowered its target on Dynatrace, Inc. (NYSE:DT) to $55 from $67 while maintaining an Outperform rating. The company highlighted strong Q4 guidance and Q3 earnings beats to support its claim that AI adoption might accelerate use cases and position Dynatrace as a cost-control enabler.
Dynatrace, Inc. (NYSE:DT) offers AI-powered observability and analytics solutions that help businesses monitor, automate, and optimize complex cloud and digital environments with full-stack visibility and actionable real-time insights.
