As we navigate through the second half of 2026, the Artificial Intelligence (AI) market is entering a new, more mature phase. Following the frenzy of previous years, which focused almost exclusively on hardware and chip manufacturers, investment interest is now shifting toward the layers of data infrastructure and enterprise automation. According to a recent analysis published in The Globe and Mail, Wall Street has identified two specific stocks that, despite recent underperformance, possess the fundamental elements to surge by at least 40% over the next twelve months.

The Shift from Hardware to Software

The history of technological cycles teaches us that the first to profit are the toolmakers—in this case, Nvidia and TSMC. However, the true value of AI is unlocked when enterprises begin using these tools to produce tangible results. This requires two things: clean, accessible data and intelligent process automation. This is where Snowflake and UiPath come to the fore, emerging as top picks for analysts in the 2026-2027 window.

The previous decline in these stock prices was not due to a lack of innovation, but rather a broader correction of earnings multiples in the SaaS (Software as a Service) sector. As interest rates stabilize and companies begin to see the ROI from their initial experiments with Generative AI, the need for robust data platforms is becoming imperative.

Snowflake: The Data Custodian in the AI Era

Snowflake (SNOW) was once the darling of Wall Street during its IPO, but its stock faced pressure due to leadership changes and concerns regarding competition from cloud giants like AWS and Azure. However, the strategy of new CEO Sridhar Ramaswamy appears to be yielding results. The focus on "Cortex," a fully managed service that allows enterprises to build AI applications directly on top of their data, is a game-changer.

Snowflake's significant advantage lies in security and governance. Large banks and pharmaceutical companies do not want to send their sensitive data to external LLMs (Large Language Models). They want the AI to come to their data. Snowflake enables exactly this, making it an essential link in the AI value chain. Analysts predict that as businesses move from the experimentation stage to full production, resource consumption on the Snowflake platform will grow exponentially.

UiPath: Rebirth Through AI Agents

The second stock in the crosshairs is UiPath (PATH). The company, a pioneer in Robotic Process Automation (RPA), was initially viewed by some as a potential victim of Generative AI. The reality, however, has proven quite different. UiPath integrated Generative AI to create what is known as "Agentic AI"—digital assistants that do not just execute predefined commands but can make decisions and adapt to changes.

Wall Street sees UiPath as a classic case of undervalued potential. With a healthy cash reserve and a client base that includes the majority of Fortune 500 companies, the transition to an outcome-based pricing model is expected to bolster profit margins. Analysts believe the market has underestimated how critical automation is for maintaining competitiveness in an environment of rising labor costs.

Risks and Outlook

Of course, a forecast of a 40% surge is not without risk. Competition from Microsoft, which is integrating AI capabilities across its entire ecosystem, remains the biggest threat. Additionally, any delays in AI adoption by the corporate sector due to ethical or regulatory concerns could stall growth. However, for the patient investor in 2026, these two stocks represent a rare opportunity to buy "quality at a discount" before the market fully realizes their true value in the AI-driven economy.