GitLab’s AI DevSecOps Play: Is the Market Discounting a Steep Adoption Curve?

The AI boom is not just a software story. It is a physical and operational revolution that demands entirely new infrastructure. For all the talk of models and algorithms, the system only works because of a complex physical supply chain-chips have to be made, servers built, data centers cooled, and power delivered reliably. This is where the real structural opportunities lie. The next wave of value creation will flow to companies building the fundamental rails, whose adoption curves are just beginning to steepen.

These firms operate at the critical choke points of the AI stack. They are not training frontier models, but they enable the economy to function at scale. Take TSS Inc., which assembles and validates high-density server racks, a task that has driven its revenue to nearly triple year-over-year. Or ACM Research, which supplies the precision cleaning tools that improve yield in advanced chip fabrication. Then there is Power Solutions International, whose backup power systems are becoming essential for the resilience of AI data centers. These are the companies sitting at the operational seams where demand is outpacing supply, and their growth is a direct function of the AI adoption curve.

The investment thesis is clear. In a market where AI execution now dictates enterprise value, success or failure can swing a company's valuation by as much as 28 percentage points. A well-executed transformation can add up to 19% to valuation, while poor execution risks a 9% loss. This is the "AI Delta" in action. For investors, the question is not whether a company has an AI strategy, but whether it is building the infrastructure that will capture the exponential growth of the next paradigm. The companies positioned at these structural choke points-handling rack integration, data engineering, edge inference, and power-are the ones most likely to ride the steep part of the S-curve.

Company Deep Dive: Assessing the Exponential Adoption Curve

Each of these companies represents a different node on the AI infrastructure S-curve. Their current positioning hinges on whether they are building foundational layers for a new paradigm or merely riding an existing wave.

SoundHound AI is constructing a foundational layer for human-machine interaction. Its strategy is to unify voice recognition with agentic AI, creating a platform for natural, intent-driven customer service. The company's financials show the early signs of exponential adoption: revenue doubled last year and climbed 59% in the fourth quarter. More importantly, it is beginning to scale profitably, with adjusted gross margin expanding 800 basis points last quarter to 60.5%. This combination of rapid top-line growth and strong margin expansion suggests SoundHound is moving beyond a niche player into a core infrastructure provider for voice-powered automation. Its success would be a function of the broader adoption of voice interfaces in enterprise services, a trend that is just beginning to steepen.

UiPath is undergoing a critical transformation into an AI orchestration platform. The evidence points to enterprise adoption, but the path is not without friction. The company reported total remaining performance obligation (RPO) of $1.475 billion, marking a 19% increase year-over-year, a key metric signaling committed future revenue. However, this growth is tempered by a decline in its dollar-based net revenue retention rate (DBNRR) to 107%, indicating some churn or expansion challenges. UiPath's story is about whether it can successfully pivot from a legacy RPA vendor to the central nervous system for AI-driven workflows. The 19% RPO growth shows demand is there, but the margin compression and retention issues highlight the execution risk of this paradigm shift. Its valuation, at a forward price-to-sales multiple of only 3.6 times, reflects this uncertainty.

GitLab is attempting to unify the entire software development lifecycle with agentic AI. Its latest release, GitLab 18.10, is explicitly centered on agentic AI for software development and security, aiming to replace a fragmented stack of tools. The company's narrative is built on a massive potential market, with a narrative fair value of $150 versus a recent price around $22.89. This implies a steep adoption curve is required to justify the gap. The recent share price performance, with a 90-day return of 39.76% but a 1-year total shareholder return of 55.26%, suggests fading momentum after an initial AI-driven pop. GitLab's challenge is to prove that its integrated DevSecOps platform, powered by agentic AI, becomes the indispensable infrastructure layer for software teams. The market is pricing in future growth, but the company must now deliver the exponential adoption to close the valuation gap.

The bottom line is that all three are playing in the infrastructure layer, but their positions on the S-curve differ. SoundHound shows the cleanest adoption metrics and margin expansion. UiPath demonstrates enterprise demand but faces execution hurdles in its transition. GitLab is the most speculative, with a valuation that assumes a steep and sustained adoption curve for its AI-native platform. For investors, the question is which company is best positioned to capture the next phase of exponential growth.

Financial Impact and Valuation: Discounting the Future

The financial impact of exponential adoption is what ultimately matters. For investors, the question is whether current valuations are pricing in the steep part of the S-curve or merely the early, uncertain climb.

SoundHound AI's stock is down roughly 26% year-to-date, a correction that reflects the volatility inherent in smaller AI plays. This discount may be a function of the stock's own turbulent ride, but it also prices in the risk of inconsistent performance. The company's fundamentals, however, show the clean adoption metrics of a foundational layer: revenue doubled last year and climbed 59% in the fourth quarter, while adjusted gross margin expanded 800 basis points to 60.5%. These are the financial signatures of a company moving from niche to infrastructure. The valuation gap-trading at a market cap of just $3.3 billion-suggests the market is discounting the long-term growth potential of its voice-powered agentic AI platform, which is still largely unproven at scale.

UiPath's financials reveal a more complex picture of transition. The company posted strong revenue growth and a total remaining performance obligation (RPO) of $1.475 billion, marking a 19% increase year-over-year, signaling committed future demand. Yet the critical metric for SaaS growth, its dollar-based net revenue retention rate (DBNRR) of 107%, tells a story of solid retention but also challenges in expanding revenue from existing customers. This is the friction of a paradigm shift. UiPath's forward price-to-sales multiple of just 3.6 times analyst estimates reflects this uncertainty. The valuation is low not because of weak fundamentals, but because the market is waiting to see if the company can successfully orchestrate its AI transformation without losing momentum in its core business.

GitLab presents a stark contrast, with its stock described as extremely cheap on a very low valuation platform. The company's narrative fair value of $150 versus a recent price around $22.89 implies a massive gap that can only be closed by a steep and sustained adoption curve for its AI-native DevSecOps platform. The recent share price performance-a 90-day return of 39.76% followed by a 1-year total shareholder return of 55.26%-suggests fading momentum after an initial AI-driven pop. For GitLab, the financial impact hinges entirely on whether its latest AI integration can become the indispensable infrastructure layer for software teams. The current valuation prices in failure, making it a high-risk, high-reward bet on exponential adoption.

The bottom line is that all three companies are trading at discounts that reflect different risks. SoundHound's discount is for volatility and execution risk. UiPath's discount is for the friction of a strategic pivot. GitLab's discount is for the sheer scale of the adoption curve it must climb. For a deep tech strategist, the opportunity lies in identifying which of these structural choke points is most likely to see its adoption rate accelerate toward the steep part of the S-curve.

Catalysts, Risks, and What to Watch

The thesis for these AI infrastructure plays hinges on execution. The long-term narrative of exponential adoption is clear, but the near-term path is paved with specific events and metrics that will validate or challenge the S-curve acceleration. For investors, the focus must shift from strategic positioning to measurable adoption signals.

For SoundHound AI, the key catalyst is partnership momentum and platform adoption. The company recently announced a partnership with technology advisory firm Bridgepointe Technologies and showcased its Amelia 7 agentic AI platform at CES 2026. These are early indicators of its strategy to unify voice with agentic AI. The market will watch for follow-on announcements that demonstrate the platform's integration into enterprise workflows. The financial metrics to watch are the continuation of its 59% revenue growth in the fourth quarter and, more importantly, whether its adjusted gross margin expansion can persist. Any acceleration in these adoption and profitability signals would confirm its move from a niche voice player to a foundational layer for human-machine interaction.

UiPath's success depends on converting its strong demand into sustainable growth. The company's 19% year-over-year increase in total remaining performance obligation (RPO) shows committed future revenue, but the critical metric is its annualized renewal run-rate growth and customer expansion. The company reported an 11% year-over-year rise in its annualized renewal run-rate (ARR) and a 12% increase in customers with greater than $100K ARR. These are the hard numbers that gauge the success of its pivot to an AI orchestration platform. Investors must monitor whether this growth can accelerate and whether the dollar-based net revenue retention rate of 107% can improve, signaling stronger expansion from existing customers. The stock's low forward price-to-sales multiple of 3.6 times reflects the market's wait-and-see stance on this execution.

For GitLab, the catalyst is the market's reaction to its AI product roadmap and the adoption of its agentic AI features. The company recently released GitLab 18.10, a platform update explicitly centered on agentic AI for software development and security. The key will be whether this translates into tangible customer uptake. The market's recent price action-a 90-day return of 39.76% followed by a 1-year total shareholder return of 55.26%-suggests fading momentum after an initial AI-driven pop. The company must now demonstrate that its AI integration becomes the indispensable infrastructure layer for software teams. The upcoming fireside chat with its CFO, which discussed the AI roadmap and privacy-focused partnership with Google, is a step in the right direction. The market will watch for evidence that GitLab's AI features drive new customer acquisition and expansion within its existing DevSecOps platform.

The primary risk for all three companies is execution. Failing to convert strategic positioning into measurable adoption could lead to valuation compression despite the long-term AI growth narrative. For SoundHound, that means partnerships must lead to revenue. For UiPath, it means its ARR growth must outpace the decline in its net revenue retention. For GitLab, it means its AI features must close the valuation gap. The next few quarters will separate the companies building the rails from those merely talking about them.