Why SaaS Is Ditching the "Pay-Per-User" Model in 2026

AI agents and AI features are breaking the classic subscription model. Companies are increasingly shifting to usage-based, credit-based, and hybrid pricing because traditional per-user billing no longer reflects the real value of the product. Over the past twenty years, the SaaS model was relatively simple. Companies built software, and customers paid a fixed amount per user every month or year. This model was easy for businesses to understand, predictable for customers, and allowed SaaS companies to easily forecast revenue.

In 2026, this logic is beginning to fall apart.

The reason is not only the advancement of artificial intelligence, but also the shift in the very way software is used. Modern SaaS products are no longer just sets of tools operated manually by humans. Increasingly, part of the work is handled by AI agents, automated workflows, and algorithms that run without constant human involvement.

And this is precisely what calls the per-user pricing model into question.

Why the classic SaaS model no longer works

Imagine a company using a CRM with a built-in AI agent. A manager creates a deal, and then the system independently analyzes calls, fills in fields, drafts meeting summaries, and generates recommendations for next steps.

In such a scenario, straightforward questions arise:

• What exactly should the customer pay for?

• For one manager?

• For the AI agent?

• For the number of calls processed?

• Or for the actual value delivered to the business?

The traditional per-user pricing model offers no answers to these questions. AI agents do not take up separate seats in the system. They have no login credentials. Yet they consume compute resources, incur costs, and create value for the customer. That is why SaaS companies are beginning to seek new approaches to monetization.

AI has changed the economics of SaaS

In classic SaaS, each new user was virtually free. Infrastructure scaled, and the cost of servicing a single customer gradually decreased.

AI operates entirely differently.

Every query sent to a model comes at a price. Generating text, analyzing documents, creating reports, or running an AI agent directly affects company costs. If a user begins heavily utilizing AI features, the cost of serving such a customer can surge several times over.

That is why many companies are abandoning unlimited plans and starting to meter tokens, queries, credits, or completed actions. This ties the product's price to its actual usage and prevents scenarios where costs grow faster than revenue.

Usage-based pricing is becoming the new standard

Just a few years ago, usage-based pricing was seen as an experimental model primarily utilized by infrastructure companies.

Today, the landscape is different.

Customers are gradually getting used to paying for actual product consumption. Some pay for API calls, others for credits, and some for automated tasks performed. For many SaaS companies, this has proven more lucrative than traditional flat-rate tiers.

It is easier for users to get started with a product, as they don't need to purchase an expensive enterprise package right away. Meanwhile, companies gain the ability to earn more as the customer grows. That is why usage-based and hybrid models are steadily becoming the new standard for AI products.

However, new models create new challenges

Along with flexibility comes complexity: whereas previously a customer knew they paid a fixed amount each month, now costs can fluctuate depending on user activity or AI agent operations.

In some companies, this has already led to unforeseen consequences. Following the aggressive adoption of AI, computing costs began to soar, and finance teams lost the ability to forecast budgets accurately. Some large companies were even forced to impose limits on AI usage to keep expenses under control. As a result, SaaS products face a new challenge: not only must they accurately meter usage, but they must also explain to customers what they are actually paying for.

Design is becoming part of the pricing model

It might sound unusual, but in 2026, design is increasingly impacting product monetization, and users want to see how many credits they've spent, which AI features they've used most, and how the final service cost is calculated.

If this data is concealed or presented unclearly, even a solid pricing model will breed distrust. That is why modern SaaS design is no longer just about interfaces and user journeys. It is also about transparency, clarity, and control. Customers want—and need—to feel that they are paying for value, rather than for baffling numbers on an invoice.

The future of SaaS will be more flexible

It is unlikely that the per-user pricing model will disappear entirely in the near future. For many products, it remains simple and clear. Yet something else is already obvious: SaaS can no longer apply a one-size-fits-all approach to all customers. AI is transforming not only products, but the economics of software. Pricing is steadily decoupling from headcount in the system and aligning with the actual business impact delivered.

And this will likely become one of the most critical shifts in the SaaS industry in the coming years—not new features or new models, but rather a new way of THINKING ABOUT SOFTWARE VALUE.