When generative AI went mainstream after ChatGPT’s public release in November 2022, a popular storyline took hold: AI would replace spreadsheets. If you can ask a chatbot for insights, formulas, and charts, why keep working in a grid?
But the reality playing out across organizations looks very different.
We summarized the most credible findings we could locate across 2024–2025 research and surveys in our AI Impact on Spreadsheet Usage Report. You can download the full report here:
AI Impact on Spreadsheet Usage Report
Send download link to:
Below are the key takeaways and what they mean for teams building spreadsheet-driven solutions.
AI adoption is accelerating and it’s happening alongside spreadsheet work
Gallup’s Q4 2025 findings show a workplace in transition, with meaningful adoption but not universal use.
The report highlights that AI adoption tends to be strongest in knowledge-intensive industries, the same environments where spreadsheets are already heavily used. This is an important signal: for many organizations, the practical future is not “AI instead of spreadsheets.” It’s “AI + spreadsheets.”
The productivity impact is real (and measurable)
One of the most useful parts of the report is the focus on measured time savings, not just hype.
From the Federal Reserve Bank of St. Louis analysis cited in the report:
- AI users save 5.4% of work hours on average
- That’s about 2.2 hours/week for a typical 40-hour worker
- There’s a 33% productivity gain per AI-assisted hour
The implication isn’t that AI replaces analysts — it’s that AI helps them move faster inside the tools they already use, including spreadsheets.
Gen Z and Millennials don’t “hate Excel” — they rely on it
A common assumption is that younger professionals will abandon spreadsheets. The Datarails findings in the report point the other way:
- 54% of Gen Z/Millennials (22–32) say they “love” Excel
- 83% spend 5+ hours/day in Excel
- 84% of finance professionals believe Excel will remain as important or become more important over the next decade
This matters because it means workforce strategy and tooling strategy should assume spreadsheets remain a core competency, not a legacy skill on the way out.
So why hasn’t AI replaced spreadsheets?
The report’s thesis is straightforward: spreadsheets have unique properties that AI tools alone do not replicate, especially:
- Flexibility and speed (rapid iteration without development cycles)
- Transparency and auditability (visible formulas and traceable logic)
- Embedded workflows and institutional knowledge (decades of models/templates/processes)
AI can accelerate parts of the workflow (formula creation, cleanup suggestions, summarization), but the spreadsheet remains the shared, inspectable workspace that teams trust.
What this means for SpreadsheetWeb customers
At SpreadsheetWeb, we see this same pattern every day: teams don’t want to throw away spreadsheet-based logic, they want to operationalize it.
AI-augmented spreadsheets create an opportunity to:
- Standardize spreadsheet workflows into governed web apps
Move from “spreadsheet sprawl” to controlled, auditable applications while preserving the spreadsheet as the model layer. - Make sophisticated models accessible to more users
As AI lowers the barrier to formulas and analysis, more stakeholders can participate, which increases the need for secure, role-based access and consistent versions. - Connect spreadsheet logic to real systems
AI helps interpret and work with data, but the enterprise value comes when spreadsheet-driven workflows are connected to databases, APIs, and business processes.
In short: the future is not “spreadsheets disappear.” It’s “spreadsheets become smarter, and the surrounding workflow becomes more important than ever.”
Bottom line
AI is changing how spreadsheets are used, not whether they are used. And as AI accelerates spreadsheet work, organizations will increasingly need the same things they’ve always needed, just more urgently: governance, security, version control, integration, and scalable deployment.
If your organization depends on Excel-based models, now is the time to modernize the workflow around them, without losing the flexibility and transparency that made spreadsheets indispensable in the first place.
