According to God of Prompt (@godofprompt), leading AI practitioners are shifting from hardcoded toolsets to dynamic tool selection, allowing AI agents to choose the most relevant tools at runtime. This approach enables agents to analyze specific tasks, retrieve 3-5 applicable tools, execute them, and then discard unnecessary ones. This method addresses the issue of tool-overload collapse, improving operational efficiency and scalability for enterprise AI solutions. Dynamic tool selection presents a significant business opportunity for developers and AI platforms aiming to optimize workflow automation and adaptive task execution (source: @godofprompt, Jan 12, 2026).