Data Hierarchy: A Vertical City Where Your Data Score Determines Your Floor

What if the elevator knew more about you than your employer does? In Data Hierarchy, a speculative tower concept by Evan Baker, the vertical city is governed not by zoning codes or market forces but by a centralized AI that evaluates every inhabitant's data output in real time. The more data you generate, the higher you rise, literally. Living conditions, workplace access, and spatial privilege are all indexed to an algorithmic score collected during the simple act of riding an elevator. It is a vision of architecture as judge, jury, and landlord.

Shortlisted in the Breaking Work - Singularity competition, the project responds to the brief's provocation about labor in the age of artificial intelligence. Baker's answer is not subtle: he proposes a building that literalizes the hierarchies already embedded in surveillance capitalism. The tower functions as a living organism whose form and function shift according to the volume of data its inhabitants produce, turning digital engagement into physical mobility within a rigid vertical stratification.

A Tower That Reads Its Inhabitants

At the architectural heart of the tower sits a centralized AI super-computer, embedded within the structure's core like a nervous system. The building's anatomy is organized in layered components: a sculptural skin enveloping modular floor plates, the integrated AI core, and a responsive roof system. Each layer is interdependent, forming a comprehensive hierarchy governed entirely by an artificial entity. The concept reframes the skyscraper not as a neutral container of program but as an active participant in sorting human lives according to invisible, algorithmic metrics.

The Data Collecting Elevator as Architectural Mechanism

The project's most provocative element is the Data Collecting Elevator, a vertical transit system that doubles as a biometric and behavioral scanner. Far beyond a traditional lift, each elevator cabin is equipped with sensors and a built-in data unit that collects personal metrics from every passenger. A cumulative data score is calculated in real time, and that score determines which level of the tower the occupant is taken to. Higher scores unlock access to better living and working conditions; lower scores confine inhabitants to the base. The technical elevation drawing details the elevator's mechanical systems and passenger cabin components, revealing a meticulously considered piece of speculative engineering.

What makes this mechanism so unsettling is its directness. There is no appeals process, no committee review. The act of stepping into the elevator is an act of submission to evaluation. Baker turns a mundane piece of building infrastructure into the single most consequential architectural element in the tower, collapsing the distance between transportation and social stratification into a few seconds of vertical travel.

Dystopia as Design Critique

Baker's project operates in the tradition of speculative architecture that uses dystopian scenarios to interrogate present conditions. The tower is not a proposal to be built; it is a mirror held up to contemporary labor systems, platform economies, and the quiet extraction of personal data that already shapes access to services, credit, and opportunity. By giving these invisible forces a physical form, a stratified vertical city with an AI overlord, the project makes the abstract legible and the familiar disturbing.

The questions it raises are pointed: What happens when urban spaces are no longer neutral but responsive to algorithmic metrics? How does architecture evolve when artificial intelligence becomes the ruling class? These are not rhetorical flourishes. They are the logical conclusions of trends already underway, rendered here in section drawings and elevator schematics.

Why This Project Matters

Data Hierarchy succeeds because it refuses to be comfortable. In a competition field focused on the singularity and the future of work, Baker's entry doesn't celebrate technological possibility or propose optimistic cohabitation with AI. Instead, it demands reflection on what happens when buildings don't merely house us but evaluate us, sorting bodies into spatial privilege based on their usefulness to a machine. The proposal is deliberately confrontational, and that is its strength.

For architects and urbanists, the project serves as a reminder that every design decision encodes a value system. Floor plates are never neutral. Elevator access is never apolitical. Baker's speculative tower simply makes those politics explicit, stripping away the polite fictions of equitable design and replacing them with a transparent, terrifying logic. It is the kind of work that lingers in the mind long after the competition results are posted.

View the Full Project

About the Designers

Designer: Evan Baker

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Project credits: Data Hierarchy by Evan Baker Breaking Work - Singularity (uni.xyz).