Why Are AI CRMs Hard to Leave? Switching Costs Explained

An AI CRM is customer relationship management software that uses artificial intelligence to analyse customer data, forecast sales and automate tasks such as drafting emails or answering queries. As more firms adopt these tools, an established economic idea is becoming more relevant: switching costs, meaning the costs a buyer faces when changing suppliers. AI tends to raise these costs, with consequences for prices and competition.

Why UK Businesses Are Adopting AI CRMs

According to the Office for National Statistics' July 2026 business survey, almost three in ten UK businesses (29%) used at least one AI technology in June 2026, eight percentage points more than a year earlier. Among businesses with 250 or more employees, the figure was 49%.

For sales teams, the economic appeal lies in lower search costs and the time and effort spent finding and assessing potential customers. An AI CRM can rank leads, flag accounts at risk of leaving and suggest the next contact, so staff spend less time searching and more time selling.

How AI Increases CRM Switching Costs

Economist Paul Klemperer identified three main forms of switching costs: transaction costs, learning costs, and artificial or contractual costs. A CRM involves all three. Moving records to a new system takes time, staff must learn new software, and many vendors sell multi-year contracts.

An AI-enhanced CRM system enables businesses to add complexity to the existing CRM. This type of data enhancement allows businesses to build up unique value over time for each business, including automated workflow setup, sales-scoring rules customised to historical sales data, and model-based scoring using a specific business's customer data history. This data does not necessarily transfer easily or transparently to other companies' CRMs. This added value can create a form of lock-in when a company stays with one vendor even when offered a better price from a competing vendor.

Buyers comparing the best AI CRMs tend to focus on features and subscription prices. Economic theory suggests the cost of leaving a system can matter as much as the cost of joining it.

How AI CRM Pricing Affects Business Costs

AI CRM pricing models continue to evolve. For example, Salesforce has transitioned from a flat fee per user to a usage-based billing model (for each interaction or task completed by an AI agent). This transition closely resembles usage-based pricing from mobile telecommunications providers.

Usage-based pricing turns a fixed cost per user into a variable cost linked to activity, so firms pay more only when they use more. However, it also makes total spending harder to forecast and harder to compare across vendors. Klemperer's work predicts a related pattern in markets with switching costs: suppliers compete hard on price to win new customers, then have room to raise prices for customers already locked in.

Do Switching Costs Reduce Competition in the CRM Market?

High switching costs can act as barriers to entry. A new vendor must offer enough extra value to cover a customer's cost of moving, which favours established firms and makes the market less contestable.

While there are risks, there can also be potential benefits to accepting higher switching costs when changing from traditional enterprise models. Many of the switching costs experienced by enterprises can be attributed to how closely their systems are integrated with cloud services. In addition to having higher interworking costs, new customers are also being actively pursued through open integration tools and data-transfer capabilities. For enterprise customers, in the end, the most important factor will be to compare the cost of future switching against the initial purchase cost of the system.