Unexpected AI headwinds for your business

The biggest AI headwinds may come from outside your company. While you work on internal productivity, your customers can change how they discover, evaluate, buy and use what you sell.

In our view, far too many companies focus inward and underestimate that external change. An AI strategy needs to consider what happens when the people and organizations you depend on become much more capable, informed and demanding.

What happens when your customers achieve AI Abundance?

Imagine your customers using AI in every economically consequential decision. They have help understanding their needs, comparing offers, negotiating terms and evaluating whether a purchase delivered what was promised.

That is AI Abundance on the other side of the relationship. It can put pressure on the assumptions behind your revenue, margins and customer retention, even if you have not changed anything inside your business.

Your most profitable upsell may become harder to sell

Suppose a significant part of your margin comes from an optional service, an upgrade or an addition to the main purchase. Today, a salesperson explains the benefits and persuades the customer to buy it.

Now imagine the customer asking AI whether they need it, what it is worth and what alternatives exist. What will the AI say? Will it recommend the upsell, suggest a cheaper option or advise the customer to skip it?

The pressure comes from a change in the customer's judgment at the moment of choice. A product that still sells can become much less profitable if customers stop accepting the additions that supported its margins.

Your brand may not secure the recommendation

When a customer asks AI to find a provider, why should it recommend you? The assistant can compare your offer with unfamiliar suppliers, substitutes and ways the customer could do the work themselves.

If it treats your service as a commodity, familiar branding and a persuasive sales presentation may carry less weight than you expect. The business could lose inquiries before a salesperson ever gets a chance to explain its value.

Your offer needs a reason to win that survives that comparison. What does the customer receive that makes you the better choice, and can their AI understand it from the information available?

You may have to resell yourself at every interaction

The change continues after the purchase. A customer with AI assistance can review the delivery, question an invoice, compare a recommendation with the contract and reconsider whether to renew.

Imagine that capability available throughout the relationship. Every delay, additional charge, service recommendation and change in scope becomes another opportunity to evaluate you against alternatives.

You may need to keep earning the business at every interaction. Reputation and the original sale matter, but the customer's ongoing assessment of the value you deliver becomes much easier to sustain.

B2B buyers can scrutinize every proposal and contract

Assume every proposal and contract is immediately reviewed by a capable AI assistant. It compares pricing, obligations, exclusions, delivery commitments and risks, then helps the buyer challenge the terms or find another supplier.

A sales team can no longer assume that face-to-face persuasion controls how the offer will be judged. As customers delegate more evaluation and purchasing decisions to AI, the proposal must stand up to analysis against the customer's actual priorities.

The pressure extends through delivery: customers can monitor commitments, examine performance and prepare negotiations across many supplier relationships. Work that once received occasional attention can become a continuing discipline.

Other technologies can amplify the disruption

Consider how these customer capabilities could combine with emerging technologies:

Agentic commerce on blockchain payment rails. Agents could move from recommending an alternative to purchasing it within the customer's delegated authority. That could change how customers reach suppliers and how transactions take place. Google's Agent Payments Protocol and crypto-payment extension illustrate infrastructure being developed for this direction.
Asset tokenization. Programmable ownership and transfers could change how assets are financed, accessed and exchanged. Consider where that could pressure intermediaries or enable a different commercial model. The BIS explanation of tokenization describes the underlying development.
Humanoid robotics. AI connected to physical execution could change the cost and availability of work your business performs or purchases. BMW's humanoid robotics program is one example to watch when considering how software intelligence could affect physical operations.

These are scenarios to examine against your business. The strategic question is how combinations of improving technologies could change what customers need from you, what they will pay for and who can compete to provide it.

Understand the headwinds before they set your direction

An internal efficiency program can leave the business exposed to a changing market. Your investment decisions need to consider both how you can use AI and what happens when everyone around you uses it.

Email us your company's name and what you have in mind. We can analyze the AI headwinds your business is likely to face and discuss what they mean for its future. Business reinvention explains how we connect that analysis to a larger opportunity.