
South Korea’s recent current account surplus, supported by semiconductor exports, shows how critical AI hardware and software have become to global trade. That puts the AI stocks theme front and center for investors who do not want to miss the next major technology spending cycle. This article highlights three stocks from the AI screener that sit at the heart of chips, cloud and large language models.
The three stocks below are just a starting sample. The full screen surfaced 30 more companies with equally compelling AI narratives across chips, software and cloud that are not covered here. If you want to identify and analyze potential opportunities directly involved in the ChatGPT and AI transformation, head straight into the Artificial Intelligence/ AI Stocks screener.
Docebo is a Toronto based education software company that runs a cloud learning platform used by enterprises to design, deliver, and analyze training, with modules for content creation, analytics, AI powered search, integrations, mobile learning, and eCommerce. The company generates essentially all of its revenue, about $251 million, from educational software, rather than multiple product lines that might dilute focus. Docebo currently has a market cap of roughly $708 million, which places it firmly in small cap territory.
Investors looking at AI infrastructure beyond chips may find Docebo interesting because its platform is closely tied to how large organizations deliver and personalize training at scale using AI tools like Harmony Search and Creator. Earnings growth has been strong in recent years and analysts see further gains, while the stock currently trades at a sizable discount to several fair value estimates and the consensus price target. At the same time, a high debt load, negative shareholders’ equity and recent one off losses, plus customer concentration and unproven monetization of new AI features, mean the story involves meaningful risk. The new share repurchase plan and entry into government and larger enterprise accounts indicate how the thesis could evolve from here, but that is where investors need to look more closely.
Docebo’s push into government and large enterprise training is colliding with questions around high debt and unproven AI monetization. Get the full context from the 4 key rewards and 3 important warning signs (1 is major!)
Docebo and the other two stocks here all surfaced from one screener, but the real value comes when you shape the filters yourself. Use our flexible Screener to mix valuation, growth, balance sheet and risk criteria, or tap into the ready made themes in our Investing Ideas for a quicker starting point.
Kinaxis runs a cloud based, AI infused supply chain platform that helps manufacturers and global brands plan and orchestrate everything from demand and inventory to transportation and tariffs. Its Maestro platform and related services are sold on a subscription basis across sectors such as aerospace, automotive, life sciences and consumer products. Kinaxis currently has a market cap of about CA$4.6b, putting it in mid cap territory.
Kinaxis sits at the intersection of AI and real world supply chains, with its Maestro platform and agentic AI tools helping customers test scenarios and link decisions to outcomes. Recent results show solid profitability with a 14.4% net margin and Q2 2026 SaaS revenue up 20% year on year, while analysts have published price targets and DCF analyses that indicate potential for further upside in their models. The flip side is growing reliance on external partners, heavier R&D spend to maintain its AI capabilities, and regulatory or competitive pressure from large enterprise software providers such as SAP and Oracle. For investors who want exposure to AI that is tied to physical goods, this combination of growth, quality earnings and real risks may make Kinaxis worth a closer look.
Kinaxis looks like an AI supply chain story where solid margins and SaaS traction may not be the whole picture. See how the analyst forecasts for Kinaxis stack up against partner reliance and big software rivals that could change everything.
Quantum eMotion is a Montreal based cybersecurity company that develops quantum based hardware and software tools to secure data, AI workloads and connected devices using its own quantum random number generator technology. Its products, including Sentry-Q and eShield-Q, aim to protect areas such as cloud infrastructure, blockchain, medical devices and defense systems. Quantum eMotion currently has a market cap of about CA$671 million, which puts it in small cap territory.
Quantum eMotion catches attention because it sits at the intersection of quantum security, AI infrastructure and critical systems like energy storage and defense. Recent agreements to embed its technology into AI data centers, secure battery units and a universal security chip platform show how the product set is being tested in real world environments. At the same time, revenue is tiny, losses have been widening and the company is forecast to remain unprofitable while earnings are expected to decline about 20.5% a year. Add in a high P/B multiple and share price volatility, and you have a stock where the commercial roll out of these pilots could matter much more than any near term financial metric.
Quantum eMotion sits where quantum security meets AI and critical infrastructure, yet tiny revenues and widening losses leave big questions. Read the 1 key reward and 5 important warning signs (2 are major!) to see what could change the story next
Fresh opportunities move fast. Breakout stories gain momentum, weak ideas start dropping and under the radar stocks will not stay quiet for long. Scan the next wave and act now.
This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.
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