Investors are increasingly drawn to enterprise software stocks as they appear to be trading at appealing lows. Companies like Adobe Inc., Salesforce Inc., and ServiceNow Inc. have all faced significant declines from their recent peaks, prompting many to consider them as potential bargains. However, a deeper analysis reveals that these perceived opportunities may mask underlying risks tied to the evolving landscape of artificial intelligence.
Current Market Trends
Adobe’s stock has retraced to levels not seen since November 2022, showing a stark 55% drop from its peak in February 2024. Similarly, Salesforce is down approximately 40% from its January 2025 high, while ServiceNow has seen a decline of about 45% since early 2025. For many investors, this situation signals a classic mean reversion, where lagging sectors, particularly software, present a chance to rotate investments following a rally in AI hardware stocks like Micron and Nvidia.
The Structural Shift in Software Economics
However, analysts such as Jordi Visser from 22V Research caution that this instinct to invest in discounted software stocks may be misguided. Instead of reflecting a typical cyclical downturn, the current landscape may signify a structural change in how software is consumed and valued due to advancements in AI. Visser argues that AI is fundamentally altering the economics surrounding software development, procurement, and utilization.
Historically, the high costs and risks associated with internal software development led companies to default to purchasing Software as a Service (SaaS) solutions. This reliance on external vendors fostered an environment where software sprawl became common, as each department justified its own software stack. As a result, administrative complexity grew alongside company revenue.
The Impact of Agentic AI
The advent of agentic AI technology is changing this dynamic dramatically. As AI systems now enable software to be created and modified with negligible marginal costs, the traditional reasons for purchasing software are diminishing. Visser aptly points out that when the friction associated with software acquisition is reduced, the demand for it can also decline.
This perspective helps explain the downward pressure on stocks like Adobe, Salesforce, and ServiceNow. Their business models, which still rely heavily on seat-based pricing and subscription models, are increasingly at odds with the capabilities that AI offers. The erosion of administrative layers and interfaces driven by AI further compounds these challenges.
A New Perspective on Price Declines
Investors often view a 40% to 60% drop in stock prices as a buying opportunity. However, Visser warns that this mindset could be a trap. The analogy he draws between software stocks and snack companies in the wake of appetite-suppressing drugs highlights the potential risks. Just as a reduction in hunger cues can lead to lower consumption of food, the diminishing need for traditional software solutions could result in a contraction of market demand.
Organizational Mismatch and AI Advancements
Another critical factor at play is the mismatch between the speed of AI advancements and the operational tempo of legacy software companies. While AI technology evolves rapidly, large software firms operate on a slower cycle, bound by quarterly release schedules and established roadmaps. Consequently, by the time these legacy companies introduce new AI features, many workflows may have already been automated, leaving them trailing behind.
Visser emphasizes that these companies are not merely competing with one another but are, in fact, in a race against the rapid pace of AI innovation. This structural disadvantage makes it increasingly difficult for legacy firms to adapt and thrive.
Rethinking Investment Strategies
The current situation invites investors to reassess their approach to software stocks. Instead of viewing price declines in companies like Adobe and Salesforce as attractive entry points, they should consider the broader implications of a contracting economic environment. The drawdowns may not signal cyclical lows but rather reflect a shrinking demand for traditional software solutions.
Investing in these beaten-down stocks could represent a bet on inertia, relying on outdated procurement practices and organizational resistance to change. The true divide in the market is shifting from “AI winners” versus “AI losers” to a new paradigm: companies that are evolving with the changing landscape versus those that remain anchored to past models.
Conclusion
The landscape for enterprise software is shifting under the influence of AI, revealing both challenges and opportunities. Investors must navigate this evolving terrain with caution, recognizing that what appears to be a bargain today may be indicative of deeper structural changes. The future belongs to those organizations that can adapt to new demands and leverage AI effectively, while those stuck in outdated practices risk being left behind.
- Key Takeaways:
- The decline in software stocks may not indicate a buying opportunity, but rather a structural shift in demand.
- AI reduces the need for traditional software procurement, affecting legacy companies.
- Organizational inertia could hinder adaptation to the rapid pace of AI advancements.
- Investors should focus on companies that embrace and integrate AI technologies effectively.
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