Wedbush's Cyber Spending Survey: No Lost Deals Amid AI Disruption

While the broader tech sector has been gripped by a frenzy over AI displacement, a recent survey by Wedbush paints a different picture for one critical area. The firm's checks with enterprise clients revealed a surprising result: no lost deals due to AI displacement fears. This finding cuts against the grain of a market that has seen $1.1 trillion wiped from software, education, and media stocks in just a few months. In that volatile landscape, cybersecurity has emerged as a rare resilient corner of tech.

Wedbush analysts, led by Dan Ives, characterize the sector as offering a unique setup. It provides exposure to AI adoption while simultaneously steering clear of the AI worries that have rattled investors. The logic is straightforward: as AI becomes more powerful, it simultaneously makes both attacks and defenses more sophisticated. This dynamic is driving demand, not replacing it. As the analysts noted, "AI will be a major tailwind to the cyber security sector" because the need to protect data, endpoints, and AI models themselves is becoming "mission-critical risk management."

This positions cybersecurity as the direct counter-narrative to the "SaaSpocalypse" fears. While companies in other software categories face existential questions about their revenue models, cybersecurity firms are seeing their value propositions reinforced. The market's intense focus on AI disruption has, ironically, highlighted the indispensable nature of security spending. For investors looking to navigate the current turbulence, the Wedbush survey suggests the sector offers a way to participate in the AI story without betting against enterprise software.

The AI Spending Surge: A Decade-Long Catalyst

The real story for cybersecurity in 2026 isn't about dodging disruption-it's about being at the center of the world's largest tech buildout. The market is fixated on AI, and the numbers show why. Wedbush analysts frame this as a decade-long AI buildout, with 2026 marking a pivotal year for monetization. The scale of investment is structural, not a fleeting trend.

The forecast is staggering. Global AI spending is projected to hit $2.02 trillion in 2026, a 36% jump from the year before. This isn't just about flashy new models; it's a fundamental shift from the "Model Wars" of training to the "Execution Era" of enterprise deployment. That transition is the main catalyst. As companies move AI from pilot projects into core operations, their spending moves from experimentation to essential infrastructure and security.

The engine for this spending is clear. More than $650 billion in AI capital expenditure has been committed for 2026 by the hyperscalers-Microsoft, Alphabet, Amazon, and Meta. This isn't a one-time surge; it's a multi-year commitment to build out data centers and AI infrastructure. Wedbush notes this capex will reshape cloud economics, rewarding scale players and locking customers into AI-first platforms. For cybersecurity, this creates a massive, built-in demand channel. Every new AI model, every enterprise deployment, every cloud migration requires robust protection.

Viewed another way, 2026 is the year the AI story stops being theoretical and starts being operational. As analysts put it, this is the year of AI monetization. The focus shifts from dazzling new capabilities to the less glamorous but critical work of data hygiene, integration, governance, and, crucially, security. This is where cybersecurity becomes the indispensable enabler, not a peripheral cost. The sector is no longer just riding the AI wave; it's the foundation upon which the entire enterprise AI buildout is constructed.

The Main Character: Wedbush's Top Cyber Picks

In a market where AI fears have rattled investors, Wedbush has identified the clear main character: cybersecurity. The firm's analysts, led by Dan Ives, point to three stocks as the best-positioned to capture the AI-driven demand surge. These are Palo Alto Networks, CrowdStrike, and Zscaler.

For CrowdStrike, the argument is about staying ahead of the curve. Wedbush notes that the company's Falcon platform is becoming increasingly effective as AI adversaries grow more sophisticated. In other words, the very threat landscape that AI is creating is validating CrowdStrike's approach, solidifying its "gold standard" status.

Palo Alto Networks is seen as a consolidator in a more complex world. The firm argues that AI is forcing customers to consolidate vendors and improve visibility. This dynamic reinforces Palo Alto's value proposition, making its security architecture more relevant, not less, as enterprises seek to manage the heightened risk.

Zscaler stands out for its mission-critical role in the new era. Wedbush's key point is that AI is amplifying the need to secure access to data, models, and applications everywhere. This isn't just about protecting traditional endpoints; it's about securing the distributed, AI-powered applications and the models themselves. The firm concludes this reinforces the mission-critical nature of ZS's offering, driving durable growth.

The broader thesis here is a powerful one. As AI use cases explode, so does the attack surface. The need to protect data, models, and endpoints is expanding markedly. This isn't a niche demand; it's becoming mission-critical risk management for every enterprise. The sector's growth is structural, fueled by this expanding need. For investors, Wedbush's picks represent a way to get direct exposure to this fundamental shift, positioning them to benefit from the AI buildout without the headline risk.

Market Sentiment and Search Volume: Gauging the Headline Risk

The market's current mood is defined by a viral fear of AI taking over, creating a clear headline risk for any company perceived as vulnerable. This "AIpocalypse" sentiment has been a powerful driver of volatility, with AI displacement fears wiping over $1.1 trillion from software, education, and media stocks in recent months. The intensity of this fear is measurable in the search volume and social media traction around terms like "Ghost GDP" and "Intelligence Displacement Spiral," which gained thousands of likes and shares in a matter of days. For investors, this represents a classic case of narrative-driven selling, where a fictional report can trigger a $285 billion market wipeout in a single session.

Against this backdrop, cybersecurity stands out as a relative safe haven. The sector's resilience story-offering exposure to AI adoption while avoiding the AI displacement fears-is gaining traction. This isn't just an analyst call; it's a narrative that fits the market's current search behavior. As the fear of AI taking jobs and revenue spreads, the logical counter-narrative is the need for AI-powered security. This creates a natural tension: the same technology causing panic is also creating a massive, durable demand for protection. The market's attention is shifting from the existential threat of AI to the essential countermeasure.

To gauge the strength of this viral sentiment, we need to track search trends for the top picks. The Wedbush survey's core finding-that no deals have been lost due to AI displacement fears-suggests the sector's resilience story is already resonating with enterprise buyers. The next step is seeing if that story is gaining mainstream attention. Monitoring search volume for terms like "AI security spending," "cybersecurity AI," and the tickers Palo Alto Networks, CrowdStrike, and Zscaler will reveal whether the market's focus is beginning to pivot from fear to a more constructive, investment-oriented view. If search interest in these terms surges, it would signal that the cybersecurity safe-haven narrative is moving from analyst briefings into the broader financial conversation, validating the sector's current momentum.

Catalysts and What to Watch

The thesis that cybersecurity is a resilient beneficiary of AI-driven demand hinges on a few key near-term events. For the top picks-Palo Alto Networks, CrowdStrike, and Zscaler-the next quarterly earnings reports will be the first major test. Analysts need to see concrete evidence that AI is fueling deal momentum and customer retention. Look for management commentary on whether enterprise clients are accelerating security spending to keep pace with AI deployments. The Wedbush survey's finding of no lost deals due to AI displacement fears is a strong starting point, but the market will want to see that translated into revenue growth and expansion of deals. Any sign of pricing power or upselling to secure AI workloads would confirm the thesis. Conversely, a slowdown in growth or a shift in customer priorities would challenge the narrative.

Beyond the individual stocks, watch the broader AI capex narrative. The sector's growth is tied to the decade-long AI buildout and the projected $650 billion in 2026 hyperscaler capex. If spending data from Microsoft, Alphabet, Amazon, and Meta shows any meaningful deceleration, it would signal a potential shift in the AI investment cycle and directly threaten the demand story for security firms. At the same time, monitor for new AI security threats. The sector's value proposition is built on the idea that AI is a double-edged sword, making both attacks and defenses more sophisticated. Any major, novel AI-powered cyberattack could validate the need for advanced security, but a perceived lack of new threats might weaken the urgency argument.

Finally, track the performance of the Dan IVES Wedbush AI Revolution ETF (IVES). Launched in June 2025, the fund has already surpassed $1 billion in assets under management. As a thematic barometer, IVES offers a direct, liquid way to gauge market sentiment toward the entire AI investment story. Its flows and relative performance against broader tech indices will serve as a real-time indicator of whether the market's attention is staying firmly on AI-driven growth or beginning to pivot back to the fears that initially caused the selloff. If IVES continues to attract capital, it suggests the bullish AI narrative, including its cybersecurity component, remains intact. A reversal in flows would be a warning sign.