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Further Reading from MarketBeat
SaaS Apocoplyse Survivor? Why Datadog Could Be a Real AI WinnerAuthor: Leo Miller. Article Posted: 3/26/2026. 
Key Points
- The so-called "SaaS Apocalypse" has resulted in somewhat indiscriminate, leading to opportunities and value traps.
- As AI proliferates, Datadog could be a big beneficiary, yet shares remain down almost 40% from their highs.
- Despite the stock’s year-to-date decline, analysts see DDOG rising well above the current share price.
- Special Report: Elon’s “Hidden” Company
Over the past few months, many investors have encountered the phenomenon dubbed the “SaaS Apocalypse." The phrase describes a trend of software-as-a-service (SaaS) stocks seeing their share prices fall amid the rise of new artificial intelligence (AI) tools. It often seems markets are selling anything with a SaaS-adjacent model, but AI disruption will affect each company differently.
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That divergence can create opportunities in certain SaaS names poised to benefit from AI adoption rather than be replaced by it. One tech stock that may fit this description is Datadog (NASDAQ: DDOG). While shares have recovered from recent lows, the stock is still down about 10% in 2026 and nearly 40% below its 52-week high. Some investors believe the market may be misreading Datadog’s potential role in an AI-heavy enterprise environment. Understanding the Drivers Behind the “SaaS Apocalypse”One of AI's big promises is that AI agents will be able to act autonomously within enterprise workloads. The theory holds that these agents could perform tasks that previously required expensive SaaS products, allowing companies to cut costs. This expectation is one reason incumbent SaaS stocks have sold off so sharply. Some also argue that a highly capable employee working with AI agents could replace several colleagues, reducing headcount and costs. AI providers such as OpenAI, Anthropic, and Alphabet (NASDAQ: GOOGL) promote this cost-savings case: pay to deploy agents, and you need fewer employees. But AI is imperfect and can make mistakes. With consumer-facing chatbots, errors create distrust. Inside organizations, mistakes can cause larger consequences: customer impact, revenue leakage, and operational disruption. Companies are unlikely to deploy agents at scale without first building trust and having tools to diagnose failures quickly. Observability vendors argue they can fill that need. Outsourcing Thinking: AI Agents Increase the Need for ObservabilityDatadog sells observability software that collects telemetry from companies' applications, whether used internally or by customers. That telemetry helps teams detect problems, identify root causes, and resolve incidents. A key argument for Datadog is that while AI agents could reduce labor costs, they introduce complexity and generate far more data and telemetry. A video on Datadog’s AI Agent Monitoring tool illustrates this. The presenter describes a fictional personal finance app called Budget Guru. A user asks the app’s agents to buy $500 of a stock and to remind them about an overdraft fee. A human could complete that task in a few clicks and handle the internal reasoning. Budget Guru, however, coordinates five separate AI agents to execute the request—essentially outsourcing the thinking a human would do. That process creates a mountain of observable data documenting how the conclusion was reached. AI agents generate logs, traces, and events that wouldn’t exist if a human performed the same task. As the number of moving parts grows, so do the potential failure points. In this framework, agents don’t eliminate the need for monitoring; they raise the bar for it. That dynamic should increase demand for observability platforms like Datadog, turning dispersion risk into an opportunity. Datadog: Impressive Growth, Profitability, and Analyst SupportIn its latest quarter, Datadog’s revenues grew 29% to $953 million. The company generated free cash flow (FCF) of $291 million, for an FCF margin of about 31%. The Rule of 40 combines revenue growth and profitability to evaluate SaaS companies; scores above 40 are considered healthy. Datadog scores roughly 60, putting it in a strong position. Wall Street analysts also see upside. The MarketBeat consensus price target is near $180, implying more than 40% upside. Price targets updated after the company’s latest earnings average slightly lower, at about $174. With strong growth, healthy profitability, analyst backing, and potential tailwinds from agentic AI, there is reason to believe DDOG could weather the "SaaS Apocalypse." |
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