A new piece of Wall Street research prompted us to change our rating on Salesforce

Melius Research downgraded Adobe to 'sell,' asserting that AI is disrupting the software industry similarly to how cloud computing impacted on-premise solutions, posing a significant threat to the Software-as-a-Service (SaaS) model. Analysts contend AI's ability to reduce demand for 'seat-based' software will pressure valuations for companies like Salesforce, Atlassian, and Workday, despite some actively developing AI offerings. Conversely, cloud providers such as Microsoft and Amazon are poised to benefit as they enable AI adoption, underscoring that companies failing to adapt to this AI-driven shift risk significant valuation contraction.

Analysis

A recent downgrade of Adobe to a 'sell' rating by Melius Research highlights a significant emerging thesis: Artificial Intelligence is fundamentally disrupting the Software-as-a-Service (SaaS) business model. The analysis draws a direct parallel to the way cloud computing displaced on-premise data centers, which led to a severe and prolonged contraction in the price-to-earnings multiples of hardware providers like Dell, HP, and IBM. The core of the threat to SaaS companies such as Salesforce, Atlassian, and Workday is the potential for AI tools to reduce the need for knowledge workers, thereby eroding demand for the 'seat-based' licensing model that underpins their revenue. Tech leaders are reportedly already reducing operating expenses by cutting workers who are the primary consumers of SaaS products. Conversely, companies providing the foundational infrastructure for AI are poised to benefit. Cloud providers, specifically Microsoft's Azure and Amazon's AWS, are identified as primary beneficiaries, seeing accelerated demand as they enable the AI transition. Microsoft serves as a key case study, having successfully navigated a similar disruption by pivoting to its Azure cloud service. While Salesforce faces this structural headwind, it is not remaining idle, actively developing its own agentic AI offerings ('Agentforce') to create new AI-centric revenue streams and increase value per customer. However, the overall sentiment for the SaaS 'neighborhood' is deteriorating, prompting a cautious outlook until tangible financial results can prove these companies can adapt and thrive in the new AI-driven landscape.

Key Decisions for Investors

• Investors should re-evaluate enterprise software portfolios, potentially reducing exposure to pure-play SaaS companies reliant on seat-based licensing and favoring firms providing the core cloud and computational infrastructure for AI, such as Microsoft and Amazon.
• For holdings in at-risk SaaS companies like Salesforce, closely monitor key metrics for any deceleration in seat-based revenue growth and scrutinize management's progress in monetizing new, proprietary AI-driven products.
• Use a company's strategic response to AI as a critical investment criterion, as firms that fail to adapt their business models risk significant P/E multiple compression, mirroring the historical decline of on-premise hardware companies during the cloud transition.
• Acknowledge that while the stocks of incumbent SaaS leaders have already declined in 2025, further downside risk exists if they cannot demonstrate a clear path to offsetting potential seat-based revenue losses with new AI-generated income streams.