The global software industry is confronting an existential challenge from artificial intelligence, with leading companies developing new strategies to maintain relevance. Dubbed the "SaaSpocalypse" by some analysts, the threat centres on AI's potential to automate software creation, prompting a fundamental rethink of business models at firms like Salesforce and Microsoft.
Industry leaders, however, frame AI not as a death knell but as the next evolution. Their plan involves developing sophisticated AI agents capable of navigating and operating across their entire software suites, rather than within single applications. This shift aims to address customer demand for tools that streamline work across multiple platforms simultaneously.
A New Layer Between User and Software
This strategic pivot introduces a significant new layer between the customer and the software itself. "That additional layer could hold much of the power and value that software once owned," the analysis notes, suggesting a potential redistribution of influence within the tech ecosystem. The core efficiency of these AI agents lies in their cross-platform functionality, making single-tool agents seem less valuable by comparison.
The market reaction has been severe, with massive stock selloffs reflecting investor uncertainty about software's future role. Despite this, industry insiders challenge the most extreme predictions. One software CEO questioned the viability of companies simply "vibe-coding" their own critical systems, citing immense compliance and reliability requirements for tools like payroll and customer relationship management (CRM) software.
'Software Isn't Dying, It's Disappearing'
Aneel Bhusri, CEO of Workday, highlighted the ongoing reliance on established software by pointing out that leading AI firms, Anthropic and OpenAI, still use his company's products. The consensus emerging is not of extinction but of obscurity. The software is likely to be pushed "further down the stack," becoming infrastructure that users' AI agents interact with, rather than a direct interface.
An analogy drawn is the relationship between a smartphone and its apps. While applications are frequently changed, the underlying operating system and hardware platform remain constant for most users. Similarly, software may become a stable, background component in an AI-driven workflow.
The immediate consequence is a battle for positioning in this new hierarchy. Companies that control the AI agents which orchestrate tasks across multiple software platforms may capture greater value, while traditional software firms risk becoming less visible—and potentially less valuable—to the end-user.