For decades, many software companies sold access rather than actual usage. A customer bought 20 seats, signed an annual contract, and paid roughly the same whether employees used the product every day or barely opened it. That model made revenue predictable, but artificial intelligence is making the logic harder to defend. AI workloads can vary dramatically, and the cost of delivering a complex task can be very different from answering a simple request. The result is a new pricing conversation, and it is helping create Disruptive Business Models built around consumption, outcomes, and measurable value rather than access alone.
The shift is already substantial. McKinsey reported in January 2026 that the number of software companies using consumption-based pricing more than doubled between 2015 and 2024. Maxio’s 2025 pricing research also found that hybrid models combining subscriptions with usage recorded the highest median growth rate among the models surveyed, at 21%. These figures suggest that consumption pricing is moving beyond a niche approach used by cloud infrastructure companies. It is becoming a broader commercial strategy.
Why Disruptive Business Models Are Moving Toward Consumption
The basic idea is simple. Instead of paying primarily for access, customers pay according to what they actually consume. That might mean API calls, documents processed, minutes of audio generated, computing resources used, transactions completed, or AI tasks performed. For businesses with highly variable workloads, the model can feel more natural because spending rises when value-generating activity rises.
That connection is particularly powerful for Disruptive Business Models built around AI. Traditional software can often add another user at relatively low marginal cost. AI systems can incur meaningful inference and computing costs every time they perform work. A customer asking an AI system to summarize a short document and a customer asking it to perform a complex multi-step reasoning task are not necessarily creating the same cost for the provider. Consumption pricing gives the vendor a mechanism to reflect that difference.
The Customer Gets a Lower Barrier to Entry
Consumption pricing can also change who is willing to buy a product. A small company may hesitate to sign a large annual software contract when it cannot predict how much value it will get. A pay-as-you-go structure can reduce that initial commitment. The customer can start small, prove the value, and expand as usage grows.
That creates an interesting flywheel for Disruptive Business Models. A company does not necessarily have to convince a buyer that its software deserves a large budget on day one. It can make the first step inexpensive and allow successful use to drive expansion. Stripe identifies lower barriers to entry and a closer connection between adoption and revenue as important advantages of usage-based SaaS pricing.
The approach also changes the sales conversation. Instead of asking, “How many employees need accounts?” a vendor can ask, “How many transactions, workflows, documents, or outcomes are you trying to handle?” That is a very different way of defining value.
AI Is Pushing Pricing Beyond Per-Seat Software
The rise of AI agents makes the model even more interesting. A traditional SaaS product is generally used by a human employee. An AI agent can potentially perform hundreds or thousands of actions without each action corresponding to a separate employee seat.
That makes per-user pricing increasingly awkward for some AI products. Deloitte’s 2026 technology research notes that agentic software could be priced around actions completed, computing time, API calls, tokens, or even the period for which a digital agent operates. Its research also cites a Maxio survey in which 83% of AI-native SaaS companies offered usage-based pricing.
This is where Disruptive Business Models can become genuinely different from conventional SaaS. Imagine an AI procurement agent priced according to purchase orders completed, or a customer-service agent priced according to resolved cases. The software is no longer simply a tool employees access. It becomes an operational resource whose economic value can be tied to the work it performs.
The Next Step Could Be Paying for Outcomes
Consumption is not necessarily the final destination. Once companies become comfortable paying for usage, they can start asking whether usage itself is the right measure.
Suppose a company buys an AI system to reduce customer churn. Paying per AI interaction might be straightforward, but the customer’s real interest is retained revenue. That creates an opening for outcome-based pricing, where the vendor’s compensation is connected to measurable business results.
PwC’s 2026 analysis argues that usage metrics work best when they have a clear relationship with customer outcomes, while Zuora’s recent research distinguishes among subscription, usage-based, and outcome-based approaches as companies experiment with AI monetization.
That distinction matters for Disruptive Business Models because it shifts the commercial relationship. The vendor has greater incentive to make the product successful, while the customer may feel that spending is easier to justify. But outcome pricing is harder to implement. Results can be influenced by many factors outside the software, and disagreements over attribution can quickly become commercial disputes.
The Model Has a Serious Weakness: Unpredictability
Consumption-based pricing is not automatically better for customers. The same flexibility that makes it attractive can create anxiety when usage becomes difficult to predict.
A business might begin an AI project expecting modest usage and then see consumption surge as employees discover new applications. A large unexpected bill can make customers restrict usage, even when the underlying product is valuable. Stripe highlights unpredictable revenue for vendors, budgeting difficulty for customers, and the risk of unexpected bills as significant drawbacks of usage-based pricing.
Recent industry data reinforces the concern. Salesforce’s 2025 technology trends report, citing IDC research, found that 43% of consumers preferred some form of consumption-based pricing, but also reported that 67% of IT leaders had experienced unexpected charges from usage-based pricing models. For Disruptive Business Models to succeed, transparency therefore becomes part of the product. Usage dashboards, spending limits, forecasts, alerts, and understandable billing are not cosmetic features. They are trust mechanisms.
Consumption Pricing Changes the Company, Too
There is another consequence that receives less attention. Once revenue is linked directly to customer activity, the vendor has to understand usage much more deeply. Product teams need to know which actions create value. Finance teams need better forecasting. Sales teams need to explain variable costs. Engineering teams have to protect margins as usage scales.
Maxio’s 2025 research found that 73% of SaaS companies with usage-based models actively forecast variable revenue. That illustrates how consumption pricing reaches far beyond the billing department.
For emerging Disruptive Business Models, this can be an advantage. Usage data can reveal how customers actually behave rather than how they said they intended to use the product during a sales process. It can expose valuable workflows, weak features, expansion opportunities, and customers who are consuming heavily without generating enough margin.
A New Definition of What Customers Buy
The deeper change is not simply that software companies are replacing monthly subscriptions with meters. Consumption pricing reflects a broader movement from selling products to selling productive capacity.
That is particularly visible in AI. OpenAI’s September 2026 expansion into specialized enterprise applications, including chip design and life sciences, illustrates how AI providers are increasingly discussing measurable business value alongside model access. The company has also been cutting prices on lower-cost models to encourage greater usage, highlighting how price can directly influence consumption and adoption.
The strongest Disruptive Business Models will likely combine several approaches rather than choose one rigid pricing formula. A predictable base subscription can provide budget stability, consumption charges can reflect variable workloads, and outcome-based components can capture additional value when results are measurable.
The important question is no longer simply what a customer is willing to pay for software access. It is what the customer is actually trying to accomplish, how clearly that value can be measured, and whether the pricing structure makes the relationship feel fair.
That is why Disruptive Business Models built around consumption have such potential. They can lower the barrier to experimentation, reward vendors when customers expand usage, and create a more direct connection between price and value. But they also demand better forecasting, clearer communication, and much stronger billing infrastructure. The companies that get the balance right will not just have a different pricing page. They will have redesigned the economic relationship between product, customer, and growth.
