Description
AI Agents 2026: 7 Powerful Shifts That Will Redefine Work Agent Competitive Landscape Model Layer: OpenAI (ChatGPT Agent) Anthropic (Claude, computer use) Google (Gemini, agent frameworks) Infrastructure Layer: LangChain CrewAI AutoGen Enterprise Layer: Microsoft (Copilot, Agent 365) Salesforce (Agent platform) ServiceNow Key Risk Categories Risk TypeDescriptionReliabilityAgent errors, hallucinations in productionSecuritySystem access creates attack surfacesComplianceAgent actions may not meet regulationsControlMulti-agent systems behave unexpectedlyWorkforceHuman transition not managed well Key Statistics Referenced Salesforce: 50% of support via AI agents Salesforce: Support staff reduced 9,000 → 5,000 KPMG: 33% of organizations deployed agents (3x increase) Gartner: 33% of enterprise software will include agentic AI by 2028 Gartner: 15% of daily work decisions made autonomously by 2028 CTO Takeaways Summary Shift 1: Design agent roles, ownership, and KPIs like human teammates Shift 2: Architecture beats hype. Map value chain and build agent workflows Shift 3: Ask what 50% agent-handled interactions would mean for you Shift 4: Build escalation architecture with explicit human decision points Shift 5: Agent memory architecture is strategic. Own your context data Shift 6: Build on standard protocols (MCP). Design for multi-agent future Shift 7: Model economics at varying agent augmentation levels Resources Google AI Agent Trends 2026 Report Model Context Protocol (MCP) Documentation Agent Orchestration Conceptual Guide Hosted on Acast. See acast.com/privacy for more information.