Spend enough time around technology leaders right now and the conversation eventually lands in the same place: automation, efficiency, and how quickly AI will reshape business. There’s an assumption in many of those conversations that more AI is inherently better, powering faster companies, leaner teams, and smarter operations.

As someone who runs a tech company, I understand the excitement. We’re building AI into our own products. We believe it will create meaningful value for our customers. But I also think many leaders are approaching this backwards.

Too many companies are starting with the technology instead of their strategy. They’re asking, “What’s our AI strategy?” before asking a much more important question: “What problem can our business solve for our customers?”

That may sound obvious, but right now there is enormous pressure for companies to adopt AI first and figure out the business implications later. Boards and investors are asking questions. Employees are experimenting with new tools. In that environment, it becomes easy to mistake technology application for strategic advancement.

Michael Porter, one of the most influential thinkers in corporate strategy, points out that there are two, and only two, generic strategies that businesses can undertake: low-cost leadership, where companies drive higher profits through sustainably lower cost structures, and product differentiation, where customers choose to pay more for a better product or service.

Technology alone has never been a strategy. It’s a tool that supports one of Porter’s generic strategies. The real differentiator—especially in service industries, such as health care and hospitality—is still how customers feel when they interact with your business and whether that interaction drives a desire to spend more with you or come back for repeat business.

That’s becoming more important as customer expectations continue to rise. Across industry segments, people increasingly expect experiences that feel immediate, personalized, and frictionless. At the same time, businesses are operating with leaner teams, higher workloads, and constant pressure to improve efficiency.

AI can help address some of those challenges. But, unless you’re working toward a commoditized customer experience and the lowest cost of delivery, efficiency alone is not the goal. For many, customer enthusiasm for your brand, which drives decisions to spend with your company, is the goal. As Porter points out, pursuit of this goal consistently leads to higher spend, increased profits, and higher stock multiples.

For example, at Kipsu we eventually realized that, despite offering a messaging product, we aren’t really in the messaging business. We’re in the satisfaction business. Messaging is one tool to help organizations improve guest experiences and loyalty.

When you define your business success in terms of sound customer relationships rather than technology, you become far more disciplined about where technology adds value and where it doesn’t.

That mindset has shaped how we approach AI. If automation improves the guest experience, it’s serving the strategy. If it starts making interactions feel cold, transactional, or disconnected, then it’s likely working against the very thing the business is trying to build.

This becomes especially important in industries where relationships and trust matter. In service industries, customers rarely remember the operational efficiency behind the scenes. They remember whether someone listened, solved a problem, or made them feel valued.

Thoughtful use of AI may create more room for those essential human moments. One example we often discuss internally comes from luxury hospitality. Staff are trained to end interactions with a simple question: “Is there anything else I can do for you?” It sounds minor, but those moments significantly influence how guests perceive an experience.

Ironically, intentional AI use could create more room for serving the customer in moments that matter by eliminating repetitive, time-consuming tasks. The goal is to give the person at the front desk more time and mental space to create meaningful experiences.

That is the part of the AI conversation I worry businesses are losing sight of right now.

There is a tendency to frame the future as a competition between humans and machines, as though every advancement in automation reduces the importance of people. I suspect the businesses that succeed long term will take a more balanced approach. They will use AI where it improves speed, consistency, and efficiency, while also protecting the human elements that customers value most.

None of this means companies should ignore AI. Leaders should absolutely be experimenting, learning, and identifying areas where these tools can create value. But the companies that benefit most from AI will not necessarily be the ones adopting it the fastest. They will be the ones using it most intentionally.

That starts by asking a much simpler question than “What is our AI strategy?” It starts by asking, “What is our business strategy, and what kind of business are we are trying to build in the first place?”