The new challenge for salespeople: how to sell to customers who have already made up their minds with AI

Imagine a customer walking into a store, showing a product photo and saying, “I want this one. I asked AI, and it said this was the best option for me.”

The salesperson might see this as another chapter in the story of the well-informed consumer. After all, they are used to serving people who have checked prices, watched videos and read reviews before leaving home. But there is an important difference: this customer may have done very little research.

They may have asked a question, received an answer and trusted it.

In my view, this is a development that deserves more attention from retailers: consumers may arrive knowing less about a product, yet feeling more certain about buying it.

Previously, some of that confidence came from the effort of researching. Customers compared alternatives, read opinions and built their own arguments. They often arrived distrusting the salesperson and believing they knew the product better. Now, that confidence can also come from a ready-made conclusion.

By delegating the research, customers may also delegate part of their judgment.

Some people use AI precisely to explore their options in greater depth and make better comparisons. But retailers also need to prepare for those who will do the opposite: consult fewer sources, spend less time researching and place more trust in the answer they receive.

These customers may not know the product’s limitations or the criteria behind the recommendation. Even so, they may defend their choice with considerable confidence. AI takes on something close to the role of a guru: its advice seems enough to make the decision.

Where does that leave the salesperson? How do they earn a hearing when the recommendation already carries that much authority?

Starting by saying that AI is wrong can turn the interaction into an argument. There is also an understandable source of skepticism: customers know the salesperson is there to sell. A different suggestion may look like an attempt to move inventory or get them to spend more.

Trust will have to be earned through something customers can verify for themselves.

A good opening question would be, “What did you ask AI to help you with?” That reveals more than asking which model it recommended. Did the customer want to spend less? Find something easy to use? What information did they provide about their needs?

Take a coffee machine. The customer arrives set on a model recommended by AI. By finding out how many cups they will make each day, the salesperson can show how the cost of capsules affects their budget. If convenience is the priority, they can demonstrate the work involved in cleaning the machine.

Good product guidance comes from connecting a product’s features to the life of the person who will use it. A price difference only makes sense when customers understand what they get in return and whether it matters to them.

The salesperson may also conclude that AI’s recommendation was a good fit. Confirming a good choice and explaining why builds trust. Getting the customer to choose a different product or spend more is not proof of competence.

This work requires a team that understands how products are used, recognizes their limitations and can compare alternatives. A team that can demonstrate what it says. An outdated catalog, unclear pricing and pressure to always push the most expensive product undermine any attempt to build credibility.

What may change is the starting point of the conversation. Customers arrive with their minds made up and questions they have not even realized they need to ask. It is the salesperson’s role to bring those questions into the discussion without making customers feel foolish for trusting technology.

AI can deliver a ready-made answer. The salesperson needs to show whether it makes sense in real life.

Their job is not to beat artificial intelligence. It is to help customers make a good choice. Even when that means agreeing with it.