UK regulator warns of risks as AI agents take over consumer tasks
Key Points
- The CMA report examines “agentic AI,” which can act on a consumer’s behalf for tasks like shopping and insurance searches.
- Risks include biased recommendations, hallucinated information, over‑reliance, and unfair outcomes from skewed data.
- Algorithmic pricing agents could unintentionally reduce competition and raise prices for consumers.
- Closed‑ecosystem agents make switching providers difficult, limiting consumer choice and data portability.
- The regulator calls for transparent practices, strong interoperability standards, and secure digital identity solutions.
- Businesses remain fully responsible for outcomes even when an AI agent makes the final decision.
- Consumers should seek transparent services, confirm major actions, and retain the ability to export their data.
The UK Competition and Markets Authority has released a report on “agentic AI,” systems that act on a consumer’s behalf for activities such as shopping or insurance hunting. While the technology promises convenience and cost savings, the CMA flags a range of risks, including biased recommendations, hallucinated information, over‑reliance, algorithmic pricing collusion, data‑privacy concerns, and lock‑in to closed ecosystems. The regulator stresses that businesses remain fully responsible for outcomes, and calls for transparent practices, strong interoperability standards, secure digital identities, and clear consumer consent mechanisms before the market fully embraces autonomous digital assistants.
Background
The Competition and Markets Authority (CMA) in the United Kingdom has published a report examining so‑called “agentic AI,” which refers to artificial‑intelligence systems that move beyond answering questions to taking actions on a user’s behalf. The report, released in March 2026, looks at how these autonomous agents could handle everyday consumer tasks such as shopping for products or searching for better insurance deals. The CMA acknowledges the potential for time‑saving and cost‑cutting benefits, but argues that consumer law applies equally whether a decision is made by a human or an algorithm.
Risks Identified
The analysis outlines several distinct risks that become more serious as AI gains autonomy. First, an agent may not act in the consumer’s best interest, steering users toward options that are more profitable for the company behind the agent rather than the optimal fit for the shopper. Second, large language models can hallucinate, producing fabricated information that, if acted upon, could lead to costly errors. Third, bias in training data can result in unfair outcomes that are difficult for consumers to challenge. Over‑reliance is another concern: users may stop questioning an agent’s recommendations, allowing mistakes to go unnoticed.
Market Implications
Beyond individual failures, the CMA flags broader market risks. Algorithmic pricing is already common, but the deployment of autonomous pricing agents across multiple businesses could unintentionally dampen competition, reducing real choices and potentially raising prices. Closed ecosystems, such as a cart‑assistant that operates only within a single platform, make switching providers difficult. Moving data, preferences, or an agent’s memory to a new service becomes a hassle, limiting consumer choice and entrenching large players.
Regulatory Recommendations
The CMA is not seeking to halt the development of agentic AI but stresses that trust is essential for widespread adoption. The report recommends the creation of smart data schemes, secure digital identity solutions, and strong interoperability standards that would let consumers switch agents easily while retaining control of their information. Businesses must remain fully responsible for outcomes, even when an AI agent makes the final call. Transparency about limitations, clear confirmation steps before major actions, and the ability for users to walk away with their data are highlighted as key safeguards.
Consumer Advice
For consumers, the takeaway is simple: while autonomous AI assistants can save time and money, a degree of skepticism is prudent. Users should look for services that are open about their capabilities and constraints, demand confirmation before significant transactions, and ensure they can export their data to another provider if needed. As the technology evolves quickly, the regulatory framework is catching up, and consumers play a vital role in keeping AI agents aligned with their interests rather than those of the companies that deploy them.