🤖 AI in Product Management

A digest on how AI is changing the role of the manager, how to automate status collection, and why "digital employees" can sometimes be too expensive.

📺 Videos, Talks, and Research
— Why AI Projects Fail to Deliver Results. Pavel Boyuka (Gazprom ID) on key barriers and hidden reasons for smart system failures.
— Formula for Implementing AI in Business Processes. A practical breakdown of integrating neural networks into e-commerce and retail.
— Who Will Win in the Age of Artificial Intelligence? Key findings from a large-scale study on the future of the market and role redistribution.

⏺️ AI-Native Concept
— What Top Companies Think About AI-Native. A broad cross-section of market leaders' opinions on restructuring business for new technological realities.
— AI-Native Company. Why in modern realities it's time to stop just making products and change the very philosophy of business.
— Top Managers Consult AI. Sber on how executives use neural networks for strategic decisions and what can go wrong with this approach.
— "Digital Employee" — An Expensive Way to Change Nothing. A sober and critical look at the hype around virtual agents.

⏺️ Practice, Automation, and Product Cases
— Automated Status Collection. A real case: from a simple Telegram bot to a full-fledged AI product for project control.
— AI in the Work of a Product Owner at EXANTE. A practical guide: from deep market research to the final feature release.
— Delegation Through Prompting. What managers and leaders can learn from prompt engineers about task assignment to people.
— AI Lab for 200,000 RUB. A technical case on building a local AI server with two Tesla V100 cards by yourself.

⏺️ Future of Professions and AI Agents
— Project Manager 2026. How modern AI tools are changing the daily profession of a project manager right now.
— MCP in Project Management Systems. How to use the Model Context Protocol to safely entrust AI with sensitive corporate data.
— On Organizing the Work of AI Agents. How to properly structure processes when your subordinates become digital entities.
— AI Did Not Automate Developers. An analysis of how neural networks have impacted engineering culture and why the consequences turned out to be more complex than expected.
— The Irreplaceable Office. On which functions within a company remain beyond the reach of automation.

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