This user's frustration is not a niche problem. It is a symptom of a much larger failure in how traditional spreadsheets handle the real world. When a tool treats a Latvian Ļ as a plain L during sorting, it isn't just ignoring a diacritic, it is discarding the structure of an entire language. That is not a bug you fix with a workaround. It is a design flaw that tells you the software was built for a narrow, homogenous idea of data, not for the diverse, global workflows people actually run today.
The practical cost for this user, and for anyone working with multilingual data, is wasted time and eroded trust. Every time you have to manually re-sort a column or create a custom sort list to account for accented letters, you are doing work the machine should do. Excel's default behavior treats these characters as visual noise, stripping away the cultural and linguistic context that gives the data meaning. For a Latvian speaker, Ļ is not L with a squiggle; it is a distinct letter that belongs in a specific position in the alphabet. Ignoring that distinction means your sorted list is wrong, your lookup tables are unreliable, and your analysis is built on a silent assumption that your data is simpler than it is.
This is where an AI-native approach changes the conversation. Instead of forcing the user to understand the tool's sorting logic and then hack around it, a smarter system can recognize the locale of the data and apply the correct collation rules automatically. It can learn that a column containing Latvian words should sort Ā, Ē, Ģ, Ķ in their proper order, not in the anglicized order Excel assumes. The solution is not a manual override; it is a system that understands context. That shift from "you fix it" to "it knows" is what transforms a spreadsheet from a static grid into an intelligent partner in your work.
The takeaway is straightforward: if you are spending mental energy fighting your spreadsheet over how to sort your own words, you are using the wrong tool. The technology exists to handle this automatically. It is time to expect more from your data environment than a simple A-to-Z that only works for English.