The question this user asks is one we hear more and more: will Excel experts still matter in a world with AI? Our answer is direct, yes, but the role is evolving, not vanishing. The spreadsheet expert of tomorrow will look different from the one today, and that shift is exactly why this is a smart time to bet on these skills.
This user already has a strong foundation. Two years of self-taught experience, including macros, shows they understand logic and automation, two things AI can amplify, not replace. The real value of an Excel expert has never been knowing every function or shortcut. It has been the ability to look at a messy business problem, ask the right questions, and build a structure that turns raw data into decisions. AI can generate formulas and suggest pivot tables. It cannot understand your company's inventory quirks or know which assumptions the CFO will challenge. That human judgment is what keeps experts in demand.
The practical opportunity here is to learn AI tools alongside Excel, not instead of it. The user's plan to spend three to four months relearning is solid, but they should spend part of that time exploring how AI integrates with spreadsheets. Tools that use natural language to build formulas, clean data, or generate visualizations are becoming common. An expert who can audit those outputs, fix edge cases, and explain the logic to stakeholders becomes more valuable, not less. For testing knowledge, public datasets from sources like Kaggle or government open-data portals are excellent playgrounds. Try to replicate real-world tasks: merge two tables, handle missing values, build a dashboard that updates automatically.
What this means for someone entering the field is that the job title may shift, but the core skill, solving problems with data, is not going away. Focus on becoming the person who can bridge the gap between what AI produces and what a team actually needs. That is where the demand will live in five to ten years. The user should target roles that emphasize analysis, reporting, or process improvement, not just spreadsheet formatting. And they should start building a portfolio of projects that show they can take raw data and deliver a clear, actionable insight. That portfolio will speak louder than any certification.