The 2026 State of AI Agents Report

This report presents the results of a comprehensive survey of over 500 technical leaders in the United States, conducted in collaboration with research firm Material in late 2025. The study analyzes how organizations are deploying artificial intelligence agents in production and their strategic plans for 2026, revealing a profound transformation in enterprise AI adoption.

The findings show that AI agents have rapidly evolved from experimental tools to critical enterprise infrastructure. More than half of organizations (57%) already deploy agents for multi-stage workflows, including 16% that has advanced to cross-functional processes spanning multiple teams. By 2026, 81% plan to tackle even more complex use cases, with 39% developing agents for multi-step processes and 29% deploying them in cross-functional projects.

The software development sector clearly leads adoption: nearly 90% of surveyed organizations use AI to assist with coding. AI agents free up significant time throughout the entire development cycle, from planning and ideation (58%) to code generation, documentation, testing, and review (all at 59%). However, the impact extends far beyond engineering.

Outside the technical realm, the highest-impact use cases include data analysis and report generation (60%) and internal process automation (48%), with 56% planning to implement agents for research and reporting over the next year. Significantly, 80% of organizations report that these investments are already generating measurable economic returns—not projected value or pilot results, but real and quantifiable ROI.

The report includes detailed case studies of real implementations across sectors such as healthcare (Novo Nordisk reduces clinical documentation from weeks to minutes), retail (L'Oréal achieves 99.9% accuracy in conversational analytics), technology (Shopify transforms merchant support), financial services (NBIM manages $1.7 trillion with 20% time savings), cybersecurity (eSentire compresses threat analysis from 5 hours to 7 minutes), and legal (Thomson Reuters delivers comprehensive legal analysis in minutes).

This document is aimed at CTOs, engineering leaders, IT executives, digital transformation managers, and technical decision-makers in organizations of all sizes. It is also valuable for strategic consultants, technology analysts, and academics interested in enterprise AI adoption and its impact on organizational productivity.

The main barriers identified include integration with existing systems (46%), data quality and access (42%), and change management (39%). Small and medium-sized businesses face additional challenges related to change management, including employee resistance and training needs (51%).

The report concludes with perspectives from leaders at Accenture, BCG, and Deloitte on how agent adoption will transform enterprise work in 2026, emphasizing that success will depend as much on organizational readiness as on technical capabilities.

Key points

• Survey of 500+ technical leaders in the US on AI agent adoption
• 57% of organizations already deploy agents for multi-stage workflows
• 90% of organizations use AI to assist with production coding
• 80% report measurable ROI currently, not projected value
• Use cases expanding: from coding to data analysis, internal processes, and reporting
• 81% plan to implement more complex use cases in 2026
• Main barriers: system integration (46%), data quality (42%), change management (39%)
• Agents free up time for strategic work versus routine tasks
• Includes perspectives from Accenture, BCG, and Deloitte on the future of enterprise agents