"SaaSpocalypse": Why Replacing SaaS With AI-Written Code Costs More Than It Seems

TNW analysts are warning company executives: before replacing enterprise SaaS subscriptions with AI-generated code, they need to assess the full total cost of ownership, not just the cost of initial development.

Why the idea sounds tempting

Generative AI has made building internal tools dramatically faster. What once took developers weeks can now be done in hours, sometimes without a single line written by hand. That is why more and more organizations are considering dropping paid subscriptions to Salesforce, Notion, Slack, Zendesk and similar products in favor of homegrown solutions.

The industry has already named this scenario the "SaaSpocalypse": a predicted apocalypse of the SaaS market in which AI tools gradually push out ready-made products. The logic is clear: if a language model writes a CRM system in one working day, why pay hundreds of dollars a year for an off-the-shelf solution?

What gets overlooked in the cost calculation

TNW points to a fundamental error in typical calculations: organizations compare the cost of development with the price of a SaaS subscription, and at that stage a homegrown solution almost always looks cheaper. The problem is that development is only the beginning of the costs, not the bulk of them.

The total cost of owning an internal tool includes:

• Regular updates to keep pace with changing business processes
• Security patches and fixes for vulnerabilities as they appear
• Employee support and documentation upkeep
• Integrations with new external systems as the business grows
• Working time of developers who, during that time, are not working on the core product

At SaaS companies with thousands of customers, dedicated teams handle these tasks on a permanent basis. Moving the functionality in-house means the same tasks fall to engineers who have other priorities and other KPIs.

The right question for executives

The article's main thesis: the question is not whether a company can build a tool, since today practically any team can. The question is whether it has the resources and staying power to maintain, secure and develop it over a horizon of several years.

"The key question is not whether an organization can build a tool, but

whether it has the resources and staying power to maintain it, protect it and keep developing it."

Large technology companies with a mature engineering culture often do have such resources, and in those cases in-house development is economically justified. For most organizations, whose engineers focus on the core product, moving to internal tools creates hidden debt: technical, operational and tied to data security.

What this means

The "SaaSpocalypse" as a mass phenomenon is more exaggeration than real trend. AI has indeed lowered the barrier to building highly specialized tools where off-the-shelf SaaS handles a particular business's specifics poorly. For standard functions such as CRM, helpdesk and project management, replacing proven SaaS with your own code is justified only if you have a team ready to take responsibility for maintenance for several years ahead.