In the ever-evolving landscape of technology, the impact of artificial intelligence (AI) on software companies is nothing short of transformative. As AI continues to advance, it's not just about integrating new features; it's about adapting to a new era of disruption and innovation. This is particularly evident in the cybersecurity sector, where companies like Zscaler are at the forefront of this technological revolution. The recent post-earnings sell-off in Zscaler's stock serves as a compelling case study in how AI is reshaping the industry and what it means for investors. Personally, I think this is a fascinating development that highlights the dual nature of AI's influence: both a potential threat and an incredible opportunity.
The AI-Driven Sell-Off
The sell-off in Zscaler's stock following its third-quarter earnings report was driven by a slightly disappointing earnings outlook. Management's guidance for just 16% to 17% annualized recurring revenue (ARR) growth in 2027 was a marked slowdown from the 21% reported last quarter. This slowdown is primarily due to how management is accounting for Red Canary contracts, which Zscaler acquired at the start of fiscal 2026. Without including Red Canary renewals, ARR growth would have been 14% last quarter. This raises a deeper question: Can Zscaler continue to grow at the pace investors demand without simply buying growth through acquisitions?
The Impact of AI on Cybersecurity
Artificial intelligence increases the need for cybersecurity solutions that can cover multiple attack angles and secure networks and systems. Zscaler's Internet Access and Private Access solutions provide secure routing for internal and external network traffic and help contain malicious activity. A growing set of features makes the solution more appealing, especially as enterprises look to consolidate security vendors. However, agentic AI poses a threat to Zscaler's business model as well. Historically, the company charges enterprises on a per-user basis. However, artificial intelligence agents could generate significant network traffic for just a handful of users. This has led Zscaler to shift to a usage-based pricing model.
The Shift to Usage-Based Pricing
The company is gaining momentum with the new model, which accounted for over 30% of new annualized contract value in the third quarter. Total contract value for non-seat-based solutions climbed more than 100% year over year. The potential for usage-based pricing is huge as AI agents generate increasing traffic over time. However, investors will have to be patient, as this represents a major transition for the business. As a result, Zscaler looks positioned to ultimately reaccelerate revenue growth after a slowdown in 2027. That makes its current stock price of 6.5 times revenue expectations look like an incredible opportunity for investors willing to be patient.
The Broader Implications
The shift to usage-based pricing is not just a technical adjustment; it's a strategic move that reflects the broader implications of AI on the cybersecurity industry. As AI agents become more sophisticated, they will generate more network traffic, creating a new set of challenges and opportunities for companies like Zscaler. This raises a deeper question: How will the cybersecurity industry evolve in the era of agentic AI? Will usage-based pricing become the norm, or will new models emerge that better reflect the changing dynamics of the market?
The Takeaway
In my opinion, the post-earnings sell-off in Zscaler's stock is an incredible buying opportunity for long-term investors. The company is well-positioned to reaccelerate revenue growth after a slowdown in 2027, and its current stock price of 6.5 times revenue expectations looks like a steal. However, investors will have to be patient as the company transitions to a usage-based pricing model. The broader implications of this shift are significant, and the cybersecurity industry as a whole is on the cusp of a major transformation. As AI continues to advance, the companies that adapt to this new era will be the ones that thrive.
