'The SaaS apocalypse is overrated': How Workday and other software provders plan to survive AI

2026-07-17 · Source: News and Advice on the World's Latest Innovations | ZDNET · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Corporate Strategy & Leadership, Software Development & Engineering · Depth: Intermediate, medium

Summary

The narrative of a "SaaS apocalypse" driven by agentic AI is prompting enterprise software providers like Workday, Freshworks, and Snowflake to redefine their strategies. Gartner predicts agentic AI will disrupt enterprise software revenue models, exposing up to \$234 billion in application spending to "agentic arbitrage" by 2030, accounting for roughly 20% of enterprise application SaaS spending. This shift has already contributed to an estimated \$300 billion loss in SaaS valuations. However, analysts suggest this is a "metamorphosis" rather than an apocalypse, with successful vendors focusing on "durable capabilities" such as trust, security, governance, and specialized data platforms. Workday is integrating agents through its Sana service, emphasizing a trusted platform for cross-business workflows, while Freshworks highlights its role as a system of record with its Freddy AI agentic technology. Snowflake, a data platform specialist, believes its expertise in data and customer relationships will ensure its relevance, drawing parallels to its co-existence with cloud giants like Amazon Web Services.

Key takeaway

For AI Product Managers evaluating future enterprise software roadmaps, recognize that agentic AI will disintermediate traditional interfaces, shifting value to underlying trusted platforms. Focus your strategy on developing durable capabilities like robust data governance, security, and specialized data management. Your products must offer unique, defensible value beyond simple application logic, ensuring they remain essential systems of record even as AI agents handle front-end interactions.

Key insights

Agentic AI will disintermediate traditional enterprise software interfaces, forcing SaaS providers to adapt by focusing on durable, trusted capabilities.

Principles

• Agentic AI drives disintermediation, not destruction.
• Focus on durable, unique capabilities.
• Trust, security, and governance are critical differentiators.

In practice

• Integrate AI agents for natural-language queries.
• Build trusted platforms for cross-business workflows.
• Specialize in data management and governance.

Topics

• Agentic AI
• Enterprise SaaS
• Software Disintermediation
• AI Strategy
• Data Platforms
• Workday

Best for: Investor, CTO, Executive, Director of AI/ML, VP of Engineering/Data, AI Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by News and Advice on the World's Latest Innovations | ZDNET.