Amid a sharp decline in chip stocks, cybersecurity software stocks surged across the board, with CrowdStrike and Palo Alto Networks hitting new highs.

AI security warnings have triggered divergence within the technology sector, with the cybersecurity ETF outperforming the semiconductor ETF by more than 10 percentage points in a single day, marking the largest gap in its history.

On Monday, CrowdStrike surged 13.8%, hitting a record closing high; Palo Alto Networks jumped 13%, its biggest one-day gain since April 2025; and Fortinet rose 9%. All three stocks were among the top gainers in the S&P 500 that day. Previously, Anthropic CEO Dario Amodei warned of the rapid pace of AI development and the risk of it spiraling out of control, a statement that put pressure on chip stocks but unexpectedly became a strong catalyst for the cybersecurity sector.

This round of market activity has led to a historic divergence between the software sector and the chip sector. According to Dow Jones market data, the iShares Extended Technology Software ETF outperformed the iShares Semiconductor ETF by 10.67 percentage points in a single day, marking its largest single-day outperformance ever. Analysts believe the market signal is clear: as the AI narrative faces skepticism, funds are rapidly rotating from computing hardware to security software.

AI security warnings trigger sector differentiation

In a blog post, Amodei elaborated on his concerns about AI's "recursive self-improvement" (RSI)—that is, once an AI model has the ability to train and iterate on its own, it may trigger an uncontrollable leap in capabilities.

He also mentioned the recent attack by OpenAI's AI agent on the open-source model platform Hugging Face, and called on major industry players to slow down and prioritize safer AI development. OpenAI CEO Sam Altman, as well as Tesla and SpaceX CEO Elon Musk, have all publicly expressed their support for Amodei's position.

This warning directly impacted chip stocks that are highly sensitive to AI computing power demands, but the market quickly turned its attention to another logic: regardless of the pace of AI development, security needs will only increase.

The more AI expands, the more rigid security expenditures become.

According to Marketwatch, Evercore ISI analyst Kirk Materne pointed out in a client report on Monday that regardless of the speed at which AI agents are deployed to enterprises, "these agents still need to be protected, governed, and monitored," thus maintaining a "structural demand background for cybersecurity and certain infrastructure components," even if the pace of AI training slows down.

Materne further stated, "A greater scrutiny of AI security could prompt companies to increase their focus on identity management, data governance, observability, and security." He believes that Okta, SailPoint, Palo Alto Networks, and CrowdStrike will be among the first to benefit, as companies are prioritizing identity security software investments.

He also specifically pointed out that cybersecurity vendors are accelerating their collaboration with AI labs, particularly focusing on runtime security—that is, real-time protection of actively running systems.

Among all cybersecurity targets, Materne believes Palo Alto Networks and CrowdStrike are "best positioned to capture growing security spending" because of their differentiated advantage in providing integrated visibility and responsiveness across the entire security stack.

According to a report, Jefferies analyst Joseph Gallo stated that while market momentum for AI agent security is building, it is still in its early stages. He anticipates "initial signs" later this year, while "substantial contributions" may not appear until 2027 and beyond .

Gallo also sees identity security vendors as early beneficiaries, arguing that the demand in this segment is "highly visible" and that the adoption of AI agents is accelerating the deployment of related products.

It's worth noting that Gil Luria, Managing Director of DA Davidson, acknowledges the existence of AI security risks but holds a different view on the appropriate response. In his report, he states that the correct approach for enterprises to address AI security threats is to "strengthen the codebase" —that is, enhance the software's inherent resilience against attacks—rather than slowing down AI development.

Luria believes that Microsoft, Amazon, and Google, with their massive customer base, are the "ideal candidates" to dominate this direction. This view complements the assessment of Materne and Gallo: regardless of which path the industry ultimately chooses, the core position of cybersecurity will remain unshakable.

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