The End of the SaaS Model: How Agentic AI is Disrupting the Industry

The Disintermediation of Enterprise Software

Over the last decade, the digital economy was built on the foundations of the SaaS (Software as a Service) model. The promise was seductive: outsource technical complexity in exchange for a predictable subscription. From Salesforce to Workday, companies accepted vendor lock-in in exchange for the promise of constant innovation. However, we are witnessing a historic paradigm shift. The emergence of Agentic AI—systems capable not only of analyzing but of executing autonomous workflows—has fractured this dynamic, forcing vendors to face a crisis of existential relevance.

Historically, enterprise software was designed under the premise of human interaction: the user was the epicenter. The success metric of a SaaS was based on "time spent" and the number of active seats. Today, that metric is a signal of inefficiency. If an AI agent can process an invoice in seconds without human intervention, the user interface becomes irrelevant. We are facing a disintermediation similar to what the banking sector experienced with the rise of Fintech or retail with e-commerce, but this time the affected party is management software itself.

1. The agent as a user: the erosion of licenses

The most immediate threat to the tech sector is the replacement of the human user. As TechRadar points out, the revenue structure based on seat licenses is collapsing under the weight of automation. In sectors like technical support or IT management, we are already seeing cases where autonomous agents resolve more than 70% of level 1 tickets without a human ever accessing the platform.

This phenomenon has profound financial implications. Companies, seeing their manual operational load reduced, are questioning the value of paying premium licenses for tools they barely use. It is not just about reducing the number of users; it is about a devaluation of software as a workplace. If the agent interacts via API with the platform's backend, the frontend (the interface we pay a subscription for) becomes a "luxury car" that no one drives. SaaS providers face the dilemma of charging for "API usage" or "value delivered," a model that is significantly less lucrative than the recurring per-user subscription.

2. The rebirth of 'bespoke' software

The dogma of the last decade was "buy vs. build." Companies preferred a generic solution that worked at 80% capacity rather than developing something in-house, due to the prohibitive costs of engineering. However, generative AI and AI-assisted development tools (such as GitHub Copilot or Cursor) are drastically reducing the cost of creating custom software.

Today, a company can task an AI agent with generating the code for a specific workflow that fits its data perfectly, eliminating the need for third-party tools that impose their own processes. This marks the end of the era of the "tyranny of the generic interface." Companies are beginning to regain their technological sovereignty. Instead of adapting their processes to the logic of a SaaS, they are adapting the software to their actual operations. This shift is a direct threat to the SaaS model, whose competitive advantage resided in the standardization and scalability of a single codebase for thousands of clients.

3. The obsolescence of the commercial model

The biggest challenge is structural: the seat-based pricing model is incompatible with a world where work is performed by agents. We are entering a stage of business model redundancy. If a software provider maintains its current pricing model while its clients automate their processes, it is actively incentivizing its own obsolescence.

The industry must transition toward a success metric based on "transactional value" or "delivered outcome." It is a painful transition: moving from a model of recurring and predictable revenue (ARR) to one based on consumption or efficiency. It is speculative to state which providers will survive, but the history of technology suggests that those who try to protect their margins from obsolete licenses through rigid contracts will lose to new players born with an Agent-first architecture. The resilience of large SaaS companies will not disappear overnight, but their pricing power is at an all-time low in the face of more efficient, cheaper, and, above all, autonomous alternatives. The era of software as a final destination is over; now, software is simply an infrastructure upon which agents operate in silence.