The Great AI
Whitespace Trap

A fictional planning meeting. A familiar mistake.

You have 100 salespeople.
Where do you send them?

Imagine you lead an AI sales team. You cannot call every company, run every pilot, or help every customer sort out its data. A person sent to one territory is a person you cannot send somewhere else. A bad territory plan can keep everyone busy without bringing a buying decision any closer.

Your fictional VP has a shortcut: "Go where hardly anyone uses AI. Look at all that whitespace!" It sounds reasonable. There are fewer existing users and, apparently, more first-time buyers. The spreadsheet has turned a lack of customers into a reason to celebrate.

Now imagine two companies that both use no AI. One wants to reduce time spent answering service requests, has searchable records and a manager responsible for the result. It may need a supplier. The other has no agreed problem, no project owner and fourteen Excel files named FINAL_v7_really_final.xlsx. It may need quite a different conversation.

Both look identical in an AI-use statistic. They do not offer the same next step. Public business surveys help us ask which explanation deserves a closer look; they cannot tell us that a particular customer will buy.

The question is therefore practical: should your next salesperson chase the biggest blank space, or the places where customers have more of what they need to get started? First, let the VP make the case. Then see what happens when we ask three questions the spreadsheet left out.

Question 1 / Have they considered it?

"Not using AI" is not the same as "looking for AI."

Of every 100 EU businesses, about 80 were not using AI. Only about 11 were non-users that had considered it: 11.10% of all businesses. The survey has not found 80 buyers. It has found a much smaller group for whom the idea has at least come up.

That still leaves a long way to a sale. "We have considered it" might precede a funded project, a rejected proposal, or a conversation that went nowhere. In sales language, "the customer is very interested" sometimes means "they attended the webinar." Neither is an order.

Why Poland and Denmark change the conversation

Start with the VP's view. In Poland, 91.64% of businesses did not use AI, compared with 57.97% in Denmark. Poland offers more blank space as a share of its businesses.

Now ask about consideration. Non-users that had considered AI accounted for 3.90% of all Polish businesses and 16.25% of Danish businesses. Denmark has less blank space, but a larger share of businesses that have thought about filling it.

That does not make Denmark a better territory: these are percentages, not numbers of available customers, and they say nothing about your product. It does mean the VP needs a better reason than "hardly anyone uses AI there." Low consideration could call for finding a useful problem before proposing a product.

Source: Eurostat, 2025. Both consideration percentages refer to all businesses covered by the survey, not just non-users.

Question 2 / Could they get started?

An AI project needs somewhere to land.

Return to our imaginary service team. An AI tool might help answer customer questions, but it needs records it can use and people who can check the answers. If the records are inaccessible or nobody owns the process, a good demonstration does not remove the work required before a pilot.

Public data cannot inspect a customer's records for us. It can offer a clue: 14.33% of EU businesses already used cloud services and data analysis without using AI. They have some relevant technology in place. We call these digital foundations, not proof that they are ready for an AI project.

The businesses that have considered AI and those with these foundations can overlap. One group is about having thought about it; the other is about tools already in use. A company can belong to both, one, or neither.

Before this becomes a real territory plan

Ninety percent of how many customers?

A large blank space on a percentage chart can still contain few businesses. The game treats its eight territories as equally sized so we can see what changes when we ask different questions. Real countries are not equal-sized markets, and the game is not recommending a European hiring plan.

Your actual account list also matters. A salesperson serving large manufacturers is not selling to "the average European company." Businesses differ in the people, money and systems they can bring to a project. The size comparison below shows why a national average is only a starting point.

Question 3 / What is stopping them?

The demo is over. Now the work begins.

Return to the company with a service problem. Suppose the idea makes sense and the records are usable. Someone still has to connect the tool, decide which answers are acceptable, protect customer information and pay for the work. An interested buyer can be blocked without being irrational or indecisive.

Eurostat asked businesses that had considered AI but were not using it what held them back. About 70 in every 100 named a lack of relevant expertise. About 38 named cost. Those are reasons to discuss implementation and affordability, not simply to repeat the demonstration with more enthusiasm.

We are now looking only at that group of non-users who had considered AI, not all businesses. The same company can name several obstacles.

Monday morning, after the meeting

Ask why the space is empty.

Nothing here says to avoid businesses that use little AI. A genuinely underserved market can be attractive. The mistake is to treat the absence of use as evidence that customers want your product and can put it to work.

For the next account conversation, replace "How big is the AI opportunity?" with three questions:

1. What problem is worth paying to solve? Name the work, the cost of leaving it alone, and the person responsible for improving it.
2. What must be in place before a pilot can work? Check the records, access, people and approval needed. This may change what you offer first.
3. Why would this become a buying decision now? Find out whether there is funding, a decision owner and a useful deadline. A webinar registration answers none of those questions.

Then decide whether the next step is a project, help with the basics, a clearer business case, or less sales effort for now. Countries with high AI use can still contain expansion and replacement business; countries with low use can still contain excellent buyers. The public figures help you decide what to investigate. The account conversation tells you what is actually there.

Total Addressable Market and Total Addressable Fantasy are, fortunately, abbreviated differently. The spreadsheet should preserve the distinction.