Prompt Economy Recalculates Basic Math of Commerce

Core Insights - The focus in artificial intelligence has shifted from general AI to agentic AI, highlighting both opportunities and challenges in the sector [1] Group 1: LinkedIn's Developments - LinkedIn has developed a comprehensive agentic AI platform that integrates agents into its cloud-native architecture, featuring an "agent life-cycle service" for coordination [3] - The upgraded Hiring Assistant allows recruiters to filter candidates using natural language while maintaining human oversight, emphasizing the need for compliance and reliability [4] Group 2: Booking.com Initiatives - Booking Holdings is creating an agentic AI platform aimed at enhancing travel experiences, enabling actions like booking services while keeping users within its ecosystem [5] - The strategy focuses on building trust and reducing customer service costs, with features like natural language search improving customer satisfaction and reducing cancellations [6] Group 3: Parallel Agents - The concept of parallel agents allows agentic AI to divide large tasks into smaller, independent ones that can be executed simultaneously, improving processing efficiency [7] Group 4: OpenAI's Innovations - OpenAI has launched its GPT-Realtime model, which enhances AI-powered voice agents by processing audio in a single step, improving responsiveness and conversational quality [9] Group 5: Nvidia's Networking Solutions - Nvidia emphasizes that data movement is a bottleneck in AI performance and has introduced new networking technology to enhance data transfer speeds, improving the efficiency of agentic AI systems [10] Group 6: Investment Opportunities - SoFi has launched the SoFi Agentic AI ETF, tracking 30 U.S.-listed companies involved in agentic AI, providing investors with a straightforward entry point into this emerging sector [11] Group 7: Financial Sector Innovations - FinQore has integrated Anthropic's Claude into its financial data platform, enabling CFOs to access real-time, validated data, enhancing trust in AI-driven financial insights [12] Group 8: Visa's Agentic Commerce - Visa is developing tools to integrate agentic AI into digital commerce, aiming to make transactions as seamless and trusted as traditional card payments [13][14] - The introduction of the Model Context Protocol (MCP) server and Acceptance Agent Toolkit is designed to streamline agentic commerce and enhance merchant capabilities [14][15] Group 9: CarEdge's Consumer Advocacy - CarEdge is leveraging agentic AI to empower consumers in the auto-buying process, allowing AI agents to negotiate directly with dealerships on behalf of buyers [16][17] - The potential for AI-led negotiations could extend to other high-value retail sectors, indicating a shift in traditional sales dynamics [18][19]