SaaS is alive: AI is not replacing entrenched enterprise platforms such as Palantir, Microsoft, ServiceNow, Shopify, Datadog, Salesforce, Snowflake, AppLovin, MongoDB and Zeta. Switching costs and risks are too high, and no credible CTO will swap ServiceNow for a stitched-together AI replacement. Using AI themselves should expand margins by cutting headcount bloat and lifting revenue through AI features. ServiceNow has 600+ customers with ACV over $5M, up 22%, and rose 23% in a week. x.com 

Enterprise demand for sovereign AI favors Palantir's transformation model. In a two-pronged AI economy, businesses can retain their IP and use low-cost open models while frontier labs compete for the last increment of intelligence. x.com 

Palantir's reliance on pay-as-you-go service with refunds makes customer cancellations and sudden earnings declines or write-downs a serious risk as AI and high SaaS prices pressure the business. Its 10-Q warns of these risks. Anthropic can and will easily replace Palantir with an all-in-one platform under Democratic control of the legislative branches. x.com  x.com 

Salesforce's poor M&A is literally half the reason its multiple stays low. Slack and Informatica are cited as examples, with Braze raised as a question; AI making Tableau obsolete in a few years would be a separate risk, not itself poor M&A. x.com 

Vertical, domain-specific SaaS companies that control proprietary data should keep thriving despite Claude's spread, making Salesforce, ServiceNow, Adobe and Palantir a turnaround play. Salesforce's Agentforce has 9.5k+ paid deals at $2 per autonomous action, ServiceNow's Now Assist ACV doubled to $600M+, Adobe has 24B+ Firefly generations with IP indemnity as a massive moat, and Palantir's US commercial revenue rose 137%. x.com 

Palantir's long-term moat is hard to assert in a heavily computational space. Clients have an incentive to remove inefficiencies, and it will become increasingly easy for them to drop its value proposition and build their own, so there are better picks. x.com 

AI has erased engineering complexity as a SaaS moat, so software survives only with compliance or data lock-in. Tyler Technologies, Veeva and Guidewire are anchored in government, pharma and insurance rules, where leaving means a compliance audit; Veeva's revenue rose 16% while its stock fell 25%. Palantir's ontology locks in customer data. Salesforce, Workday, Adobe and ServiceNow are seat-based with neither moat, and BlackLine and nCino, though regulated, never went AI-native. x.com 

Adobe, Salesforce and ServiceNow still generate massive cash flow, push deeper into AI and sit at the center of enterprise operations. Three of the biggest SaaS names remain beaten up in 2026; their valuations have been crushed, but the long-term opportunity may not have been. The market has swung way too far against them. x.com 

Palantir looks exposed as AI deployment gets cheaper and more crowded, because outside government contracts it lacks domain expertise and controls no meaningful infrastructure software, relying on others such as Databricks. Amazon and Microsoft are launching forward-deployed engineering and frontier AI groups backed by deep enterprise relationships, and open-source models gaining traction should bring costs down. IT services firms such as Infosys could do really well instead. x.com  x.com 

Horizontal SaaS tools such as HubSpot, Atlassian and Intuit will be disrupted as companies build their own replacements with AI. Per @CJ0pp3l, quoting one of Constellation Software's AI leads, HubSpot, Jira, Mailchimp and Zendesk have been replaced with AI-built systems and agents, and only vertical software with strong systems of record and deep workflow integration will grow with AI. The market also sold vertical names like Constellation and Topicus, which hold deep platform data. x.com