The future of software will be won by platforms that remove human effort, not by tools tailored to narrow verticals. As AI levels the playing field on intelligence and features, defensibility shifts to Effort-to-Value, meaning how little a user must do to extract meaningful output. Horizontal systems that integrate workflows and eliminate friction will dominate, because they collapse effort while amplifying value. I have spent two decades building precisely for this moment.

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The future of software will not be decided by who controls a vertical niche, but by who controls the horizontal plane where work itself happens. I have been writing about the shift away from vertical stacks and into horizontal environments that cut across industries, roles, and categories for years. In fact, I’ve been building the plane for two decades. The reason the world is moving in this direction is simple: in an AI driven era, the defensibility of a product will not come from being tailored to a specific domain, but from how much human effort it removes from the act of working.

Effort-to-Value becomes the real differentiator and basis for competition. It measures how much a human must do in order to extract value from the system. The lower the effort demanded and the higher the value offered, the stronger the defensibility. AI accelerates this shift because it removes the old advantage of feature depth and encoded domain knowledge. Now AI can generate, replicate, or reason about that knowledge instantly. Once every product has access to the same broad intelligence, the only remaining place to compete is on how much human effort is required to use the system. The workload you place on the user becomes the real differentiator.

Effective horizontal systems touch every workflow, collect more structured signals, and integrate across the full cycle of work instead of locking themselves into narrow domains. They create the conditions where effort collapses and value compounds.

Vertical products are trapped inside their own walls. They accumulate integrations, outsource context to the user, and require the operator to be the bridge between tools. Every click, every switch, every manual action is a tax on the human. In the modern environment, that tax is becoming unacceptable. Users will feel it long before executives do and they will gravitate to environments where the system pulls them forward instead of making them push through clutter.

This is why Effort-to-Value is going to determine defensibility. It is not about features: it is not about ecosystems. It is about whether the human needs to work in order to get the software to work. And when AI becomes the backbone of operations, environments that minimize human effort will not just be more pleasant. They will outperform. They will outlearn. They will out-adapt. They will close the loop between action and insight faster than any vertical stack ever could.

The race is not about who can build more tools. It is about who can remove more friction from more places in the workstack. It is about who can create systems where effort approaches zero while value approaches infinity. That is the real moat in an AI-enabled world.

And if I may be just a little cheeky, I will note that this is exactly the world I have been designing for my entire career. Long before AI became fashionable, I was obsessed with eliminating the human tax inside software. Reduce clicks. Eliminate noise. Surface signals. Build environments where the system carries the weight and the human glides. Now the rest of the industry is arriving at the place I have been building toward for twenty years. The river is finally bending in my direction.

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