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While Adobe's core enterprise business is sticky, the real danger from AI is that new creators will adopt AI-native tools from the start. This "top of funnel" leakage, where young users bypass Adobe's ecosystem entirely, slowly erodes the company's long-term growth and terminal value.
Permira's analysis suggests AI can replicate software features, eroding the value of high switching costs and recurring revenue. The new moat is whether a company owns critical data or is deeply embedded in workflows.
The primary threat from AI disruptors isn't immediate customer churn. Instead, incumbents get "maimed"—they keep their existing customer base but lose new deals and expansion revenue to AI-native tools, causing growth to stagnate over time.
Beyond technical switching costs, Adobe is protected by organizational inertia. Employees are naturally resistant to adopting new AI tools that promise efficiency gains, as they may perceive them as a threat to their jobs. This misalignment of incentives between management and staff slows disruption.
Moats like migration pain, proprietary data, and UI lock-in are weakening. AI agents are flexible with interfaces and can easily replicate code and migrate data, forcing companies to find new, more distinct sources of value beyond simply 'owning' the customer.
AI poses a greater existential threat to Adobe than to a company like Intuit. While AI can augment accounting (Intuit's domain), it is creating entirely new workflows for content creation (Adobe's domain). When the fundamental "job to be done" changes, the incumbent software provider is at a much higher risk of being displaced.
A major disconnect exists between the confident earnings calls of SaaS leaders (Adobe, HubSpot) and their SEC filings. While publicly projecting strength, their legal disclosures increasingly admit that AI agents pose a competitive risk, as customers could use them to replicate features or build their own internal tools, threatening the subscription model.
The rise of AI didn't just compete with Tailwind's products directly. It also reduced traffic to their documentation website by 40% as developers used LLMs for answers. For businesses that rely on their docs for product distribution, this indirect traffic loss can be a significant and unexpected blow to revenue.
The market fears that AI will instantly replace enterprise SaaS platforms are overblown. Companies like Salesforce and Adobe are deeply embedded in corporate workflows with massive switching costs. They are now trading at low multiples despite strong growth, presenting a significant investment opportunity.
Incumbent software vendors face a crisis: customers aren't churning, but all new enterprise budget is directed at AI. This traps legacy platforms as stagnant 'systems of record' while AI applications built on top capture all future growth.
SaaS products like Salesforce won't be easily ripped out. The real danger is that new AI agents will operate across all SaaS tools, becoming the primary user interface and capturing the next wave of value. This relegates existing SaaS platforms to a lower, less valuable infrastructure layer.