As AI commoditises everything a company makes, the last defensible moat is not what you sell — it is the human experience you design around it. Most companies are investing in exactly the wrong thing.
In the mid-1990s, a Nike marketer told a room of executives: “We don’t sell shoes. We sell the feeling of being an athlete.” Three decades on, it reads like strategy. Walk into almost any product review today — specifications, roadmaps, feature releases. What the company makes. Rarely does the customer become.
Yesterday, a marketer’s Instagram Reel stopped my scroll. Twenty-nine likes. Just this: “People don’t pay for skincare. They pay to feel confident walking into a room. They don’t pay for coaching. They pay for certainty of achieving a goal.” You knew this already. So why does your board deck open with product metrics — not with who your customer is trying to become?
The milkshake nobody understood
In the late 1990s, a fast-food chain hired consultants to fix flat milkshake sales. Surveys. Focus groups. Flavour tests. Nothing moved. Then a researcher did something different: he watched. The most reliable customer was a lone commuter before 8 am, long drive ahead — not buying sweetness, but hiring something to defeat boredom. A banana was gone in two bites; a doughnut left sticky fingers on the wheel. The milkshake lasted twenty minutes. The competitor was not Burger King. It was the commute itself. The chain had spent months asking the wrong question.
What that researcher practised was radical empathy — not asking customers what they wanted, but inhabiting their experience long enough to see what they could not say. Clayton Christensen built Jobs to Be Done around this. His arithmetic was unsparing: 75 to 85 per cent of new products fail — not from poor execution, but because companies never understood the job the customer needed done. A concurrent McKinsey survey found nine in ten global executives dissatisfied with their innovation results. Nine in ten — after all the data, all the research, all the frameworks. The data exists. The empathy does not.
“Frame your business around the products you sell, and you get supplanted when technology changes. Frame it around the job you do, and new technologies become tools to do it better.”— Clayton Christensen, Competing Against Luck, 2016
What the East knew first
You might think this is what CRM systems are for. What recommendation engines do. What personalisation at scale delivers. The Japanese figured this out centuries before the algorithm — and arrived at something entirely different.
The word is omotenashi. Western management translates it as “hospitality.” That is not right. Hospitality responds. Omotenashi anticipates. Service gives you what you ask for. Omotenashi ensures you never have to ask. At Isetan in Tokyo, umbrella bags appear at the entrance before you notice you need one. No complaint triggered this. No model predicted it. Someone simply asked: What will this person feel when they walk in? That question — not the algorithm — is human experience design.
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One framework came from Harvard. The other predates the printing press. Same conclusion — which most boardrooms still treat as optional: the organisation that wins understands what the customer has not yet found the words to say. Your CRM cannot do that. Only radical empathy can.
When the story collapses
Peloton is the case study nobody wants to be. In December 2020, its stock touched US$162 — a US$2,500 bicycle turned into a cultural identity: not hardware, but the sensation of being a serious athlete, accountable to a tribe. By January 2022: US$24. Most analysts blamed the reopened gyms. Wrong. The product had not changed. The instructors had not left. What collapsed was the story customers told about themselves when they used it. Peloton had never designed that story — they had stumbled into it. When the context shifted, there was nothing to hold it in place.
Apple made the opposite bet, deliberately. Jobs redesigned the Apple Store around one question: not what do people come here to buy, but what do they come here to become? The result was human experience design in its purest form — not a product environment, but an encounter with a more capable self. That encounter cannot be copied or shipped in a software update. It lives in the designed space between a brand and a human being — which is, not coincidentally, why Apple’s retail revenue per square foot still leads every category.
The speed at which AI commoditises what companies make will always outpace the speed at which companies learn to understand what people feel. Radical empathy is not a corrective. It is the only strategy left.
The trap of intelligent personalisation
Here is what most AI transformation roadmaps assume: that personalisation at scale is omotenashi. It is not. Omotenashi is radical empathy — unhurried observation of one specific person in one unrepeatable moment. AI personalisation is pattern-matching: the customer receives what people like them statistically want. That is not empathy. That is a fast guess with good data. Customers can feel the difference between being understood and being predicted.
Zurich Insurance ran the experiment. Between 2023 and 2025, more than a quarter of its workforce completed empathy training — 46,000 hours. Its Net Promoter Score rose seven points in eighteen months: not from a product launch or a price cut, but from understanding what a customer was actually feeling. The ROI of radical empathy was not soft. It was the only lever that moved.
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Accenture’s 2025 Life Trends study found consumers in 22 markets accumulating a “cost of hesitation” — rising distrust of digital content, hunger for something real. When everything can be generated, authenticity becomes the scarce good. Your competitors have the same models. They are running the same optimisations. What they cannot replicate is the human experience you choose to design.
The thing you have not built
Starbucks did not lose a decade because the coffee got worse. It lost the third place — that feeling that the room belonged to you — the moment efficiency became the priority. The product survived. The experience did not. Most leadership teams, hearing this, nod. Then return to optimising throughput.
The most defensible asset a company can build is not a product. It is the story customers tell about themselves when they choose you. That story cannot be generated. It cannot be A/B tested into existence. It has to be designed — through radical empathy, one human experience at a time. Most organisations have more customer data than at any point in history. They understand their customers less than they did a decade ago. That is not a paradox. It is what happens when measurement becomes the goal, and the thing being measured gets forgotten.
Your company has a Chief Data Officer. Probably a Chief AI Officer. Perhaps a Chief Experience Officer. When did any of them last spend an unscripted hour inside a customer’s actual day — not an interview, not a dashboard, just watching what their life costs them? If that question requires thought, you already know what is missing.
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