AI Won't Kill SaaS. It Will Raise the Bar.

AI Won’t Kill SaaS. It Will Raise the Bar.

Stonebridge · Perspectives on Enterprise Technology

A confident narrative has taken hold: artificial intelligence will gut the software-as-a-service industry. It is a clean story, and it is the wrong question. AI is not replacing SaaS. It is rewiring it — changing the underlying technology and the user experience while quietly, and durably, raising what customers expect from every vendor they already buy from.

AI is being adopted through software, not around it

Gartner projects that more than 80% of enterprises will have used generative AI APIs or deployed GenAI-enabled applications in production by 2026, up from less than 5% in 2023. A separate Gartner forecast puts 40% of enterprise applications on track to feature task-specific AI agents by 2026, up from less than 5% in 2025. Both numbers point the same direction: AI is being embedded into the software companies already own, not used as a reason to throw it out.

Interfaces are commoditizing. Systems of record are not.

AlixPartners has argued, in its “Farewell, SaaS” series, that agentic AI displaces the UI-centric logic layer SaaS has monetized through seats and features. That pressure is real — but it falls on the interface, not on the underlying business system. At SAP Sapphire 2026, CEO Christian Klein framed it directly: ERP is the brain and heart of a company. The same logic applies to Oracle, Salesforce, Workday, ServiceNow, and Maximo. AI agents without that substrate are demos; with it, they are operating leverage.

The scaling problem is bigger than the replacement question

McKinsey’s State of AI 2025 finds 88% of organizations using AI in at least one business function, but roughly two-thirds have not yet begun to scale it across the enterprise, and only 39% report enterprise-level EBIT impact. Klarna’s public reversal on its all-AI customer-service stance — and its quiet return to hiring human agents — is a useful reminder that wholesale replacement is harder than the bull case implies. The real problem is integration, governance, and workflow redesign, not vendor selection.

What changes for vendors — and for buyers

For utilities, energy, and infrastructure operators, the implication is concrete: they are not abandoning legacy systems. However, they are demanding AI-enabled interfaces to assist with procurement, predictive asset management, and intelligent maintenance on top of the systems they already trust. Pricing is moving with the value and that movement seems to be shifting to tokenization. Revenera’s 2025 "Monetization Monitor" says 59% of software companies expect usage-based approaches to grow as a percentage of revenue, up 18 percentage points from 2023.  The competitive question is no longer whether an AI startup will replace the incumbent. It is whether the incumbent — or the faster-moving peer — ships credible AI capability before renewal.

SaaS will not die. It will not stay the same either. The winners will combine trusted data, proven workflows, and AI-native experiences. Customers will keep buying from the vendors who make the work faster, safer, and more accountable. They will simply expect significantly more for the same dollar.