Will Agentic AI Finally Kill the Loyalty Penalty?

For decades, the UK’s financial services, insurance and utility markets have relied on a quiet economic force: consumer inertia. Despite years of regulatory scrutiny, the so-called “loyalty penalty”, where long-standing customers quietly end up paying more than new ones, remains a structural feature of many consumer markets (and something most of us have probably fallen victim to at some point).

Introductory offers expire, renewal prices creep upward, and superior deals emerge elsewhere, yet the majority of consumers stay put. Switching takes time. Comparing options is tedious, and for most people it quickly drops down the to-do list.

Entire business models have quietly evolved around this reality. Pricing strategies, customer lifetime value models, and retention campaigns often assume that a large share of customers will remain long after their initial deal stops being competitive.

But a new shift in technology may finally begin to change that.

From Chatbots to Agentic AI

The rapid maturation of Agentic AI is reshaping how consumers interact with financial and household decisions. Early AI tools largely functioned as conversational interfaces, useful for answering questions or summarising information. Increasingly, however, AI systems are evolving into something more practical: autonomous software that can act on behalf of the user.

Instead of waiting to be asked a question, these systems can monitor, compare and evaluate options continuously.

The key differentiator is persistence. A human might review their insurance renewal once a year, if they remember. An AI agent can review that same policy every day, quietly checking whether a cheaper or better-suited alternative has appeared.

What was previously an occasional decision becomes a continuous optimisation process.

The Regulatory Catalyst: Consumer Duty

In the UK, this technological shift arrives at a pivotal regulatory moment. The Financial Conduct Authority has made clear through its Consumer Duty framework that firms must demonstrate they are delivering fair value and good outcomes for customers.

Historically, the loyalty penalty has been one of the clearest examples of where outcomes have diverged from expectations. Long-standing customers frequently end up paying more than new ones, largely because they do not actively review their products.

Agentic AI changes the dynamic. By removing the friction of manual comparison, AI assistants could effectively enforce the spirit of Consumer Duty at the individual level. If software continuously evaluates competing offers, providers must compete not only for new customers but also for their existing ones.

In that environment, loyalty becomes performance-based rather than friction-based.

The End of “Sticky” Customers?

For industries that have historically relied on inertia, such as retail banking, general insurance, telecoms and utilities, the implications could be significant.

Retail banks, for example, have long benefited from so-called “sticky deposits.” Customers often leave savings in accounts paying below-market interest simply because moving funds requires effort and attention. If AI assistants can monitor interest rates and automatically shift funds when better returns appear, deposit stability may begin to look very different.

Insurance markets face a similar exposure. Renewal models have historically relied on the fact that many policyholders accept higher renewal premiums rather than actively re-shop their coverage. Persistent software agents that routinely compare policies could erode that advantage.

Treasury teams and pricing departments may eventually find themselves modelling behaviour driven less by human habit and more by algorithmic optimisation.

The Rise of Automated Switching

The first signs of this shift are already emerging. Early comparison websites relied on consumers manually searching for deals. A new generation of services is now experimenting with more automated approaches.

Some platforms aim to monitor available tariffs, contracts and promotions in the background, notifying users, or in some cases initiating a switch, when better options appear. Services such as Lodo are exploring how automated switching could help consumers move between telecom, broadband and energy plans as new deals emerge.

These early experiments hint at what a more automated consumer marketplace might look like.

A More Dynamic Market

The transition will not happen overnight. Operational barriers remain. Contract lock-ins, identity verification requirements, and the complexity of transferring services between providers still create friction. Regulation and infrastructure will play a significant role in determining how easily automated switching can occur.

But the broader direction seems clear. As software becomes capable of handling routine decision-making, many of the small frictions that historically protected incumbents begin to disappear.

The loyalty penalty has endured for decades because it exploits a simple human reality. People are busy, and reviewing every contract rarely sits high on the priority list.

Software, however, does not suffer from fatigue or distraction. As Agentic AI begins to manage these everyday decisions, the economic advantage of consumer inertia may gradually erode. Businesses that once relied on passive loyalty may soon find themselves competing in a far more dynamic marketplace.