How New Technology Changes Business Models
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Jul 21, 2026 - How New Technology Changes Business Models
Whenever a new technology appears, almost everyone claims it will be “transformational.” Usually, that claim is too vague to be useful.
A company may adopt a technology, launch a feature, or improve a few internal processes, all of that without materially changing its business.
A more useful question is:
What fundamental constraint does the technology remove?
I use this question to classify the impact of new technologies on companies, products, and business models.
The framework
A new technology can affect a business model in five distinct ways.
Classification<br>What constraint the technology removes
No Material Impact<br>It removes no constraint that materially affects the business model
Existing Model Leverage<br>It removes a constraint that limited the performance of an already viable model
Economic Enablement<br>It removes a cost constraint that prevented a technically possible model from being viable
Technological Enablement<br>It removes a capability constraint that made the model technically infeasible
Model Destruction<br>It removes a constraint that an existing model depended on to create or capture value
1 - No Material Impact
The technology removes no fundamental constraint that materially affects the business model’s performance, differentiation, or viability.
The company may still use the technology to automate internal tasks, improve marketing output, or reduce minor operating costs.
Consider a restaurant using an LLM to draft job descriptions and marketing copy. The tool may be useful, but the restaurant still depends on locations, food, labor, customer traffic, and operational execution.
The technology improves activities around the business. It does not materially change the business itself.
2 - Existing Model Leverage
The business was already viable, and the technology removes a constraint that limited its scale, margins, productivity, differentiation, or monetization potential.
Rather than creating something fundamentally novel, the technology amplifies a model that already worked.
An established software product, for example, may use AI to automate part of an existing workflow. Customers complete the same job faster, the product becomes more valuable, and the company may charge more or serve more customers with the same resources.
The product can change substantially while the core business model remains intact.
This category is called leverage , not transformation, because the technology acts as a multiplier on an existing economic engine.
This can improve scale or market share, but the company still competes with established rivals in an existing market.
3 - Economic Enablement
The business was technically possible, but a cost or resource constraint prevented it from being economically viable at scale.
The economic equation changes through lower delivery costs, greater monetization potential, or both.
Personalized tutoring is a useful example.
One-to-one tutoring has always been possible, but it is expensive because each additional student requires additional human time. An AI-based tutor can provide continuous assistance at a much lower marginal cost.
The underlying capability and need are not new. What changes is the cost of delivering the service at scale.
The same pattern can apply to customer support, translation, legal assistance, research, design, and other services historically constrained by skilled labor.
If executed well, the company may expand its total addressable market by making the product or service available to a wider audience.
4 - Technological Enablement
The business was not practically possible because a required technical capability did not exist or was not sufficiently mature.
The technology creates a fundamentally new capability, rather than making an existing capability cheaper.
AI-based protein design is an example.
Companies such as EvolutionaryScale use generative models to reason across protein sequence, structure, and function, allowing scientists to design novel proteins with desired characteristics.
Traditional methods could analyze existing proteins or test variations through slow...