Technology Convergence Report 2025

First cycle (mid-201 0s to 2021)Second cycle (current) Cloud computing infrastructure combined with machine learning algorithms. These combinations enabled AI-powered analytics and recommendation systems across industries. Widespread adoption drove the standardization of analytical services and significant cost reductions.Foundational models (FMs) are becoming commodities. To differentiate and achieve outsized gains, actors are combining FMs with domain-specific data, specialized hardware and multimodal capabilities, driving capital and talent towards new or custom-built solutions. These new combinations are creating specialized Al solutions, reshaping industries from healthcare diagnostics and creative content production to humanoids. These combinations are enabling AI-powered analytics and recommendation systems across industries. For AI agents, the Model Context Protocol (MCP) offers a standardized way to retrieve real-time information, execute tasks and maintain context across different tools and datasets, leading to increasing investments and solutions being built using AI agents. Technologies combine Value chains converge Value chains converge Compound benefits emerge Technologies combine Compound benefits emerge3Cs in the context of AI – a contemporary illustration FIGURE 3 Technology Convergence Report 13