AI Humanity Grid

At a glance

AI Humanity Grid uses thousands of dots to make global AI adoption feel tangible, with controls for different years. It is worth a brief look as a visual explanation to question and discuss. It is not a dependable source for an adoption forecast: the inspected 2030 view gave different percentages for the same category in its legend and simulator.

Good fit

People interested in the design of population-scale visualisations. A dot grid makes proportions easier to picture than a bare percentage, while changing the year makes assumptions visible as movement. Its value here is the interaction and the questions it raises about who uses AI, rather than verified measurement of those groups.

Consider something else when

You need statistics to cite, country-level evidence or a forecast with inspectable assumptions. The page broadly attributes its figures to public research and estimates, but the inspected view did not link a dataset or methodology sufficient to reproduce its global categories. The category definitions and whether they overlap also need clarification.

Start here

Compare 2025 with 2030 using the year controls, then check the legend against the simulator cards. In the settled 2030 trial, Never was 18% in the upper legend and 16% in the simulator card. Returning to 2025 restored that view. Until the discrepancy is explained, avoid using a screenshot as a measured global adoption claim.

Cost and requirements

The browser visualisation opened without an account or payment; changing the year did not require submitting a response. No poll vote or personal information was supplied. The examined interface did not establish a reusable dataset or export licence, so the ability to view it should not be mistaken for permission to republish its underlying material.

Limits to know

A visually coherent animation can conceal inconsistent totals or unsupported assumptions. This trial confirms the year interaction and a numeric disagreement, not that every displayed figure is wrong. No usage survey was recreated or forecast tested. Use a primary study whose population and question match your purpose when you need evidence of adoption.

Still unclear

• Which dated datasets and category definitions produce each year, and why do the 2030 legend and simulator disagree?