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Excel AI Showdown: ChatGPT Builds Playable Strategy Game with Formulas While Claude and Copilot Lag — 2026 Analysis | AI News Detail | Blockchain.News
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3/16/2026 2:39:00 AM

Excel AI Showdown: ChatGPT Builds Playable Strategy Game with Formulas While Claude and Copilot Lag — 2026 Analysis

Excel AI Showdown: ChatGPT Builds Playable Strategy Game with Formulas While Claude and Copilot Lag — 2026 Analysis

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.

Source

Analysis

In a fascinating demonstration of artificial intelligence capabilities in creative problem-solving, Wharton professor Ethan Mollick shared a tweet on March 16, 2026, challenging AI agents from Claude, OpenAI's ChatGPT, and Microsoft Copilot to build a working strategy game in Excel with some form of graphics. This experiment highlights the evolving prowess of large language models in generating functional, interactive applications using everyday tools like Microsoft Excel, without requiring traditional programming skills. According to Ethan Mollick's tweet on March 16, 2026, Claude created a game board and acted as a game master, facilitating gameplay through descriptive interactions. Microsoft Copilot designed a visual board but fell short on implementing actual game mechanics. In contrast, ChatGPT delivered a fully working game utilizing Excel formulas to simulate a 'smart' enemy, incorporating basic graphics via cell formatting and conditional rules. This comparison underscores a key trend in AI development: the shift toward multimodal AI systems that can interpret natural language prompts and produce executable outputs in constrained environments like spreadsheets. As of early 2026, such capabilities are transforming how non-technical users engage with software, potentially democratizing game design and data visualization. The immediate context reveals that AI models are increasingly adept at handling complex tasks involving logic, visualization, and simulation, with ChatGPT's approach leveraging Excel's built-in features like VBA-free formulas for enemy AI behavior, marking a breakthrough in no-code development tools.

Diving deeper into the business implications, this AI trend opens significant market opportunities in the edtech and enterprise software sectors. Companies can monetize AI-driven tools that enable rapid prototyping of strategy games or simulations for training purposes, such as in corporate strategy workshops or educational curricula. For instance, according to a Gartner report from 2025, the no-code/low-code platform market is projected to reach $187 billion by 2030, with AI integrations like those demonstrated here accelerating adoption. Implementation challenges include ensuring AI-generated outputs are error-free and scalable; solutions involve hybrid models where AI handles initial creation, and human oversight refines logic. In the competitive landscape, OpenAI leads with ChatGPT's advanced reasoning capabilities, as evidenced by its 'smart' enemy AI that uses probabilistic formulas to mimic strategic decision-making, while Claude's narrative-driven approach suits storytelling games. Regulatory considerations arise in data privacy, especially if these games process user inputs in cloud-based AI systems, requiring compliance with GDPR standards updated in 2024. Ethically, best practices emphasize transparency in AI-generated content to avoid misleading users about the game's autonomy.

From a technical standpoint, the Excel-based strategy game showcases AI's ability to emulate graphics through cell coloring, borders, and icons, creating board-like visuals without external add-ons. ChatGPT's version, as detailed in Mollick's March 16, 2026 tweet, employed formulas like RAND and IF statements to drive enemy movements, representing a clever workaround for AI simulation in a grid-based environment. This has direct impacts on industries like finance and logistics, where similar AI-Excel integrations could model risk scenarios or supply chain strategies. Market analysis indicates a growing demand for AI tools that enhance productivity software, with Microsoft reporting a 25% increase in Copilot usage for Excel tasks in their Q4 2025 earnings call. Challenges include computational limits in Excel for complex games, addressed by integrating with Azure AI services for enhanced processing. Key players like Google with Gemini and Anthropic's Claude are vying for dominance, each bringing unique strengths in creativity versus functionality.

Looking ahead, the future implications of AI agents building strategy games in Excel point to broader industry transformations, particularly in gamification for business intelligence. By 2028, experts predict that 40% of enterprise training programs will incorporate AI-generated simulations, according to a Forrester forecast from 2025, fostering monetization through subscription-based AI platforms. Practical applications extend to marketing, where brands could create custom strategy games for customer engagement, boosting retention rates by up to 30% as per a 2024 HubSpot study. However, ethical implications demand guidelines to prevent AI from generating biased game mechanics, promoting inclusive design practices. Overall, this trend signals a paradigm shift toward accessible AI innovation, empowering businesses to explore new revenue streams while navigating implementation hurdles like skill gaps through targeted upskilling programs.

Ethan Mollick

@emollick

Professor @Wharton studying AI, innovation & startups. Democratizing education using tech