A Reddit user recently posted a simple problem: they had a list of Mondays in column B, a set of desired spacings in column C, and a manual, laborious result in column E. Their question was straightforward, how to make the spacing dynamic, so that each date automatically jumps forward by the number of days specified. The image they shared shows a grid where every row is a fixed height, every cell is a static container, and the user is fighting the tool just to express a basic relationship between two pieces of data.
This captures exactly why traditional spreadsheets are starting to feel like they were designed for a different century. The user isn't asking for anything exotic. They want one column to control the behavior of another. That's a fundamental need in any workflow that involves scheduling, planning, or iterative processes. Yet the solution, as any experienced spreadsheet user knows, involves writing a custom formula, dragging it down, and hoping the relative references don't break. It works, but it's brittle. Change the spacing in column C, and you have to re-check every dependent cell. It's not a workflow; it's a maintenance task.
What this user is really asking for is a spreadsheet that understands relationships, not just rows and columns. They want a tool where the spacing between dates is a property of the data itself, not a formula you have to manually replicate and maintain. In an AI-native spreadsheet, you could simply say, "For each Monday in this list, add the corresponding value from column C to compute the next date." The tool would handle the rest, no cell dragging, no absolute versus relative reference confusion, no hidden dependencies waiting to break.
This is the practical shift that matters. The user's frustration isn't about a missing feature; it's about a fundamental mismatch between how people think about data and how legacy tools force them to work. We believe the future of spreadsheets lies not in making formulas easier to write, but in making them unnecessary for expressing simple logic. The moment a tool can infer that column C is a spacing parameter for column B, and automatically generate the result in column E, the user stops being a formula writer and becomes a workflow designer. That's the transformation worth exploring.