According to Greg Brockman on X, Ethan Mollick tested Excel agents from Claude, OpenAI ChatGPT, and Microsoft Copilot to create a working strategy game inside Excel with basic graphics, and only ChatGPT delivered a fully playable game with a formula‑driven "smart" enemy, while Claude acted as game master with a board and Copilot produced a board without full gameplay (source: Greg Brockman citing Ethan Mollick’s post). According to Ethan Mollick’s original X post, the ChatGPT output leveraged complex spreadsheet formulas to implement turn logic and enemy decision rules, demonstrating that LLMs can operationalize game AI heuristics directly in cells without macros, which lowers deployment friction for enterprise environments that restrict VBA. As reported by the shared posts, this highlights a practical business opportunity: using LLMs to auto‑generate domain‑specific simulation tools and lightweight serious games in Excel for training, planning, and what‑if analysis, with rapid iteration and low IT overhead. According to the posts, the comparative results suggest product differentiation among AI assistants for structured tool creation tasks, positioning ChatGPT as stronger at end‑to‑end Excel logic synthesis, Claude as a collaborative facilitator, and Copilot as UI‑first; this has go‑to‑market implications for vendors targeting finance, operations, and education workflows where spreadsheet‑native AI agents can deliver immediate value.

According to Ethan Mollick on Twitter, multiple attempts to have Claude build a fully playable game entirely within Excel worksheets failed, with one design making the model act as the game master and another nonfunctional layout, highlighting current LLM limits in tool-constrained, stateful system design (as reported by Ethan Mollick). According to Ethan Mollick, the tests show Claude’s difficulty with strict in-sheet logic, dependency tracking, and enforcing no external engine, underscoring the need for explicit spec checks, test harnesses, and verification when using LLMs for spreadsheet automation. As reported by Ethan Mollick, the business takeaway is that enterprises should pair LLMs with validation scripts, protected cell schemas, and deterministic formula libraries when deploying Excel-based copilots and games to reduce hallucinated control flows and ensure maintainability.

According to Ethan Mollick on Twitter, when prompted to “make me a working strategy game in Excel… with some form of graphics,” ChatGPT produced a functional, formula-driven game with a basic AI enemy, while Claude generated a board and acted as a game master, and Microsoft Copilot created only a board without gameplay. As reported by Ethan Mollick, ChatGPT’s spreadsheet logic leveraged native Excel formulas to implement turn logic and a “smart” opponent, highlighting rapid prototyping potential for no-code game mechanics and internal training simulations inside Excel. According to Ethan Mollick, the comparative results suggest differentiated agentic capabilities: OpenAI’s model demonstrated stronger procedural planning and cell-referenced logic chaining, Anthropic’s agent favored narrative facilitation, and Microsoft Copilot focused on layout. For businesses, as reported by Ethan Mollick, this points to immediate opportunities to deploy LLMs for spreadsheet-native automation, lightweight simulation tools, and interactive decision exercises without macros or add-ins, lowering development costs and speeding experimentation.

According to Claude, Anthropic announced that Claude for Excel and Claude for PowerPoint now sync context across multiple open files, enabling users to pull data from spreadsheets, build tables, and update slide decks without re-explaining steps, as posted on X on Mar 11, 2026. According to the Claude post, this shared conversational context reduces repetitive prompts and accelerates report-to-deck workflows for analysts and operations teams. As reported by Claude on X, the update targets real-time cross-document assistance, positioning Claude as a productivity layer inside Microsoft 365 and creating opportunities for enterprises to streamline quarterly reporting, sales enablement, and FPandA deliverables.

According to Claude, the model now supports an end-to-end workflow across Excel and PowerPoint in research preview, running data analysis in Excel and auto-building slides in PowerPoint for all paid plans on Mac and Windows, as posted on X and detailed on the Anthropic blog. According to Anthropic’s blog, the cross-app capability leverages Claude’s CoWork plugins to ingest spreadsheets, generate pivot analyses, create charts, and translate insights into structured presentations with speaker notes, streamlining reporting and client deliverables. As reported by Anthropic, availability across desktop platforms lowers deployment friction for enterprise IT and creates immediate time savings in FP and A, sales ops, and consulting use cases by reducing manual handoffs between analysts and presenters.

According to Claude (@claudeai), the latest update to Claude in Excel delivers significant improvements in handling long-running and complex tasks. The AI now demonstrates the ability to plan actions before execution, supports advanced functionalities such as conditional formatting and data validation, and processes multi-step changes in a single operation. As reported by Claude's official blog, these updates enhance workflow efficiency and expand business applications for finance and data analytics professionals using Excel.

According to God of Prompt on Twitter, AI Sheets powered by Genspark offers a user-friendly alternative to traditional spreadsheet tools like Excel by allowing users to request data, receive automated analysis, and instantly generate charts without the need for complex formulas or setup. As reported by God of Prompt, this AI-driven platform streamlines data work, reducing manual effort and increasing productivity, which may prompt businesses to reassess their reliance on traditional software solutions. The adoption of AI Sheets demonstrates a significant trend in the AI industry toward intuitive data automation and has the potential to disrupt the business analytics market.

According to Claude (@claudeai) on Twitter, Claude now allows free plan users to create and edit files, expanding its practical capabilities for document management and workflow automation. The update also introduces skills and compaction to the free tier, enabling users to perform more complex and sustained tasks. Free users can now turn conversations directly into Excel spreadsheets, documents, PowerPoint slide decks, and PDFs, streamlining productivity and business operations. This move is expected to lower barriers for individuals and organizations seeking accessible AI-powered document solutions, as reported by Claude's official Twitter account.

According to The Rundown AI, Anthropic has expanded Claude's integration to support Excel, enabling more efficient data handling for business users. The report also highlights The Rundown Roundtable's discussion on practical AI use cases, the rapid creation of ads with Remotion, and notes that half of U.S. workers reportedly never use AI in their jobs. Additionally, four new AI tools and community workflows were introduced, reflecting ongoing innovation and business opportunities across the AI sector.