arXiv:2606.29955v1 Announce Type: cross Abstract: Spreadsheets are widely used for business analysis, financial modeling, reporting, and decision-making. However, most existing spreadsheet benchmarks evaluate isolated operations such as single-formula generation or local cell edits, and therefore fail to capture end-to-end workflows in realistic business settings. We introduce \textsc{SpreadsheetBench 2}, a workflow-level benchmark for spreadsheet agents that covers three task categories: generation, debugging, and visualization. The benchmark is constructed from authentic business data, inclu
The proliferation of advanced AI models has propelled the need for more sophisticated benchmarks that accurately reflect real-world business applications.
This benchmark signifies a crucial step towards evaluating AI agents on complex, end-to-end tasks, indicating a closer proximity to autonomous white-collar automation.
The focus shifts from isolated AI capabilities to assessing agents based on their ability to handle complete business workflows, fundamentally changing how agent performance is measured and developed.
- · AI agent developers
- · Businesses adopting AI automation
- · Productivity software vendors
- · Tasks reliant on manual spreadsheet work
- · Traditional business process outsourcing
- · Legacy spreadsheet training programs
Spreadsheet agents will become significantly more capable, leading to increased automation of financial and business analysis.
This improved capability will reduce the demand for certain entry-level analytical and data-entry roles.
The success of these agents could pave the way for similar workflow-based benchmarks across other white-collar domains, accelerating broader AI agent adoption.
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Read at arXiv cs.AI