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Sunday’s Featured News
SaaS Apocoplyse Survivor? Why Datadog Could Be a Real AI Winner
Written by Leo Miller. 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 Musk: This Could Turn $100 into $100,000
Over the past few months, many investors have likely encountered the phenomenon known as the “SaaS Apocalypse.” The term describes a wave of selling in software-as-a-service (SaaS) stocks as markets reassess the impact of new artificial intelligence (AI) tools.
To some extent, markets have been indiscriminately selling stocks with even a SaaS-adjacent business model. But the extent to which AI will disrupt each SaaS company is far from uniform.
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That uneven impact 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% year-to-date in 2026 and nearly 40% from its 52-week high.
Some investors believe the market may be underestimating what Datadog’s role could look like 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 workflows.
The theory is that deploying agents will allow companies to cut costs by automating tasks that previously required expensive SaaS products or larger teams. That prospect has driven heavy selling of incumbent SaaS companies.
Proponents—including companies such as OpenAI, Anthropic, and Google’s parent Alphabet (NASDAQ: GOOGL)—argue that a single employee equipped with AI agents could replace the work of several people, reducing headcount and labor costs. Their pitch: pay to deploy AI agents, and you’ll need fewer employees.
However, AI is far from infallible and can make mistakes. Those errors are visible even with consumer-facing chatbots and can create distrust. Inside an organization, the consequences of mistakes can be larger—customer impact, revenue leakage, and operational disruption. Businesses are therefore unlikely to adopt AI agents at scale without first building trust and having fast, reliable tools to diagnose failures. This is where observability vendors say they can help.
Outsourcing Thinking: AI Agents Increase the Need for Observability
Datadog sells observability software. It collects telemetry from companies’ applications—both internal and customer-facing—so teams can detect problems, identify root causes, and resolve incidents.
While AI agents could reduce some labor costs, they also introduce complexity and generate much more observable data.
A video on Datadog’s AI Agent Monitoring toolillustrates this. The presenter describes a fictional personal-finance app called Budget Guru: a user asks the AI agents powering the app to buy $500 of a stock and remind them of an overdraft fee.
A human could perform that task in a few clicks and do the internal thinking required to execute it. Budget Guru, however, coordinated five separate AI agents to complete the request—effectively outsourcing the decision-making a human would have handled—and in the process generated a large volume of logs, traces, and events about how the outcome was reached.
AI agents create telemetry that would not exist if a human had performed the same task. As the number of moving parts grows, so do potential failure points. In that context, 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 opportunity.
Datadog: Impressive Growth, Profitability, and Analyst Support
In its latest quarter, Datadog’s revenues rose 29%to $953 million. The company also generated free cash flow of $291 million, yielding a free cash flow margin of roughly 31%.
The Rule of 40 is a common metric for evaluating SaaS businesses, combining growth and profitability. Scores above 40 are considered healthy; Datadog’s score sits near 60.
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 report average slightly lower at about $174.
With strong growth, solid profitability, analyst backing, and potential agentic-AI tailwinds, there is reason to believe DDOG could weather—or even benefit from—the so-called “SaaS Apocalypse.”
This Month’s Bonus Story
Autonomous Security and the New AI Arms Race
Authored by Jeffrey Neal Johnson. Article Published: 3/25/2026.
Key Points
- CrowdStrike’s massive, real-time dataset provides its AI-driven security platform a significant competitive advantage.
- Palo Alto Networks leverages its comprehensive, all-in-one platform and proven profitability to capture the enterprise market.
- The essential industry-wide shift toward autonomous security creates a powerful and durable tailwind for both companies.
- Special Report: Elon Musk: This Could Turn $100 into $100,000
The cybersecurity battlefield has fundamentally and irrevocably changed. A new class of autonomous artificial intelligence (AI), known as agentic AI, is being rapidly adopted by businesses to drive unprecedented productivity. But this powerful technology also creates an urgent, escalating threat: malicious actors are already weaponizing these tools to launch attacks that operate at a speed, scale, and sophistication beyond human capacity to manage.
That reality has triggered a nonnegotiable, industry-wide spending cycle. The era of relying on human-led security teams to manually triage alerts is over. To survive and operate, enterprises must now invest heavily in autonomous defense systems that can fight AI with AI.
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This market shift has created a substantial investment opportunity. Leading the way are two industry titans, CrowdStrike (NASDAQ: CRWD)and Palo Alto Networks (NASDAQ: PANW), each of which has launched pioneering platforms to address this new frontier. Their strategic moves are powerful near-term catalysts that position both companies for meaningful long-term growth.
CrowdStrike: Unleashing a Data-Fueled Growth Engine
CrowdStrike has built its reputation on speed and intelligence, and its latest move into autonomous security doubles down on those strengths. The company recently unveiled its Agentic MDR platform, an AI-driven service that automates the lifecycle of threat detection, investigation, and response. Rather than simply alerting overwhelmed analysts, the system is designed to autonomously handle incidents at machine speed—precisely what’s needed to counter AI-powered attacks.
Agentic MDR is the logical evolution of CrowdStrike’s chief competitive advantage: its data. The cloud-native Falcon platform is powered by the proprietary Threat Graph, a massive dataset that processes trillions of security events each week.
That real-time data trains CrowdStrike’s AI models, giving them an exceptional view of the threat landscape. A security AI is only as effective as the data it learns from, and CrowdStrike’s data reservoir creates a meaningful and durable competitive moat.
For investors, Agentic MDR reinforces CrowdStrike’s high-growth narrative. The company is already expanding rapidly, with year-over-year revenue growth near 24%. The new platform should accelerate adoption of the Falcon ecosystem and drive add-on sales of high-margin services, directly addressing industry-wide alert fatigue. That creates a clear path to faster growth in annual recurring revenue and supports CrowdStrike’s growth-oriented valuation—a compelling catalyst for CrowdStrike’s stock.
Palo Alto Networks: The Profitable AI Security Fortress
Where CrowdStrike emphasizes data-driven speed, Palo Alto Networks is leveraging market scale and breadth to become the indispensable security partner for AI-enabled enterprises.
Palo Alto recently launched Prisma AIRS 3.0, a platform that secures the full lifecycle of AI agents. It helps organizations discover the AI tools in use across their environment, assess associated risks, and enforce consistent security policies from a single console.
This product is the capstone of Palo Alto Networks’ platform strategy. Enterprises—especially large, Fortune 500 customers—are tired of managing dozens of separate security vendors. By offering an integrated platform that spans network firewalls, cloud security, and now agentic AI, Palo Alto makes its ecosystem highly sticky. Once a large company adopts the platform, switching costs and complexity become prohibitively high, locking in long-term revenue.
That approach has created a financial fortress. For investors, Prisma AIRS 3.0 is a catalyst to deepen customer relationships and drive predictable growth. Palo Alto Networks is already profitable, with a net margin around 13% and a strong history of free cash flow generation. The new AI security capabilities should increase customer lifetime value and further expand margins, supporting Palo Alto’s stock and reinforcing its status as a blue-chip leader.
Tale of the Tape: A Data-Driven Comparison
Both CrowdStrike and Palo Alto Networks stand to benefit from the AI security wave, but they offer distinct investment profiles. Here are the key differences:
- Market Capitalization: Palo Alto Networks is larger, at approximately $128 billion, versus CrowdStrike’s roughly $100 billion valuation.
- Revenue Growth (YOY): CrowdStrike leads with growth near 24%, while Palo Alto Networks posts a more mature but solid rate of about 15%.
- Profitability (Net Margin): Palo Alto Networks is profitable with a net margin around 13%; CrowdStrike remains focused on growth and currently has a negative net margin.
- Go-to-Market Strategy: CrowdStrike uses a land-and-expand approach—winning customers with its endpoint solution and upselling new modules. Palo Alto leverages incumbency to drive platform consolidation across the enterprise.
- Core Advantage: CrowdStrike’s case rests on an AI-native, data-centric advantage and operational agility. Palo Alto’s strength is its entrenched, all-in-one enterprise platform and established profitability.
Choosing Your Champion for the Next Wave of Cybersecurity
Autonomous security is not a distant prospect; it is already reshaping the industry and creating a durable tailwind for cybersecurity vendors. For investors, the question isn’t whether the market will generate returns, but how best to capture that growth.
If you prioritize aggressive growth and innovation, CrowdStrike offers a focused bet on a best-of-breed, data-centric approach to AI security. Its momentum and market-share potential present an opportunity for above-market returns.
If you prefer stability and proven market leadership, Palo Alto Networks is the fortified incumbent. Its deep enterprise entrenchment, strong profitability, and integrated platform strategy create a predictable, long-term growth trajectory.
Ultimately, the choice depends on your investment objectives. What’s clear is that the AI security transition is a rising tide likely to lift both companies. Their recent platform launches are strong signals that CrowdStrike and Palo Alto Networks are well positioned for the most important technology trend of the next decade, making them compelling contenders for portfolios focused on the future.
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