The Human Premium, Part 2
When everything becomes frictionless, the things that still have texture become priceless.
There’s a pattern that keeps surfacing across industries, and it starts with subtraction.
When electric powertrains began replacing combustion engines, the obvious gains were immediate: better torque, lower maintenance, reduced emissions. The numbers were decisive. But something was also lost. The mechanical intimacy between driver and machine: the vibration through the steering column, the resistance of a clutch, the audible feedback of an engine responding to throttle input. All of it smoothed out into a silent, frictionless glide.
The car became more capable and less interesting at the same time.
I’ve been thinking about this pattern because the same transition is beginning in software. As AI takes over more of the interface layer, interpreting intent, anticipating needs, collapsing multi-step workflows into single interactions, the traditional UI is being hollowed out in the same way. And the consequences will be strikingly similar.
What electrification actually removed
The mistake most people make when discussing electric vehicles is framing the transition purely in terms of performance metrics. But driving was never purely about numbers. A well-engineered combustion car involved a constant physical dialogue between human and machine. Gear selection was a decision. Engine note was information. The mechanical linkages between your inputs and the car’s response created a feedback loop that was rich, textured, and satisfying to master.
Electrification didn’t just change the powertrain. It removed an entire layer of interaction. And in doing so, it revealed something: much of what people valued about driving had nothing to do with getting from A to B efficiently. It was the texture of the journey itself.
This is why classic cars have become more valuable, not less, since electrification accelerated. A 1960s Porsche 911 isn’t a rational transport choice. It’s a deliberate rejection of optimised efficiency in favour of something that feels like it was made by humans, for humans. The human premium, the value placed on handcrafted, tactile, non-commodity experience, rises in direct proportion to how much the mainstream alternative strips that experience away.
It’s not the first time this has happened. When manufacturing automated textile production, handmade fabrics became luxury goods. When digital photography made images effectively free, skilled photography became more prized, not less. When streaming commoditised access to music, live performance became the premium experience. The pattern is consistent: automation commoditises the output and elevates the craft.
The same pattern in software
For thirty years, software design has been an exercise in organising complexity. Navigation menus, settings panels, dashboards, toggle switches: all of it exists because humans needed structured ways to communicate intent to machines. The interface was the translation layer.
AI changes this fundamentally. When a system can interpret natural language, understand context, remember preferences, and anticipate what you’re likely to need next, the traditional interface becomes redundant in the same way a gearbox becomes redundant when there are no gears. The translation layer dissolves.
This is, in many respects, a genuine improvement. Most UI is compensating for limitations, not adding value. Nobody loves navigating a settings menu. The cognitive overhead of learning a new application’s interface conventions is pure friction. Removing it is real progress.
But here’s what’s being overlooked: as AI commoditises the functional interface, the experiential interface becomes the only remaining differentiator. When every product can understand what you want and deliver it efficiently, the question stops being “can this tool do the job?” and becomes “how does this tool make me feel while doing it?”
The logic chain runs like this: AI removes the translation layer, then functional UI commoditises, then experiential design becomes the sole differentiator, then craft becomes the premium. This isn’t a cultural reaction. It’s market mechanics.
The template already exists
There’s a useful case study in the automotive world. Ferrari’s forthcoming electric vehicle, the Luce. It features an interior designed by Jony Ive (of Apple design fame) and purposefully resists the trend toward the exclusively forward looking, screen-dominated, minimal cockpits that has come to define the EV interior. Instead of stripping things down to a tablet bolted to a dashboard, the design blends digital screens with tactile materials and visual language that draws on decades of Ferrari heritage.
It’s modern and familiar simultaneously. And that simultaneity is the point. The design isn’t rejecting the new technology. It’s insisting that capability and character aren’t mutually exclusive. You can have the electric powertrain’s performance without surrendering the feeling that this object was considered, crafted, and intentional at every level.
This is the template for what happens next in software: adopt the capability, but preserve the character.
Why familiarity is a feature, not a limitation
One instinct, when thinking about the likely direction of AI-native interfaces, is to pursue radical adaptability. Interfaces that reshape themselves entirely based on what you’re doing right now. A dashboard that’s different every time you open it because the system has determined what’s most relevant in this moment.
It’s compelling in theory. In practice, it collides with something deeply human: people want consistency. They want to know where things are. They want the comfort of recognition, the sense that an environment is theirs because they’ve developed a spatial and rhythmic relationship with it.
We navigate physical spaces through landmark recognition and muscle memory. We navigate digital spaces the same way. The feeling of mastery over a tool comes partly from the tool staying still long enough for you to learn it. The most efficient interface in the world fails if it disorients the person using it.
The better approach isn’t radical adaptability. It’s considered evolution, changing what genuinely needs to change while preserving the structural familiarity that gives people a sense of place. This is what good architecture does: a renovated building retains its character even as its systems are modernised. The bones stay. The experience updates.
What this means for anyone building products now
The implication is counterintuitive but increasingly clear: as AI handles more of the functional workload, the competitive advantage shifts decisively toward design, craft, and intentionality.
This cuts against the prevailing narrative, which treats AI integration as primarily a capabilities arms race. More features. More automation. More intelligence. But if every product has access to roughly equivalent AI capabilities (which, given the pace of model commoditisation, is the likely trajectory), then capabilities converge and cease to differentiate.
What remains is the quality of the experience itself. The weight of a button. The pacing of a transition. The typeface. The tone of voice. The sense that a human with taste and conviction made decisions about every detail, rather than optimising for metrics or deferring to defaults. These are the elements that can’t be automated, precisely because they require human judgement about what feels right, a category of decision that sits outside algorithmic optimisation.
This doesn’t mean craft always wins. In price-sensitive markets, or where the task is purely functional, a frictionless-but-generic AI interface may be entirely sufficient. The human premium is not universal. It’s a premium, which means it commands a price, and not every user will pay it. The opportunity is in knowing which users will, and building for them deliberately.
Where this leads
The human premium is going to become one of the defining market dynamics of the next decade, not just in cars and software, but across every domain where digital technology is commoditising the baseline experience.
In content, where algorithmically generated material is already flooding every platform, the writers and thinkers who maintain a distinctive voice will command a disproportionate premium. In architecture, in food, hospitality, in education: anywhere the default is becoming automated, the deliberately human alternative becomes more valuable, not less.
The mistake would be to see this as a temporary reaction. It’s structural. The more frictionless the commodity layer becomes, the wider the gap between commodity and craft. And that gap is where the value accumulates.
The builders who understand this early, who adopt AI’s capability without surrendering design’s character, are the ones who’ll define what quality looks like in a post-scarcity interface world.
The texture is the product. It always was. We’re just about to be reminded.