The Economist Enterprise refers to the business division and operations of The Economist Group that focuses on enterprise-level research, benchmarking, and strategic insights for organizational leaders. As of 2026, this division has established itself as a significant publisher of authoritative operational intelligence frameworks designed to help organizations assess and improve their artificial intelligence implementation maturity.

The Economist Enterprise operates as a research and publishing arm dedicated to providing actionable benchmarking frameworks and strategic guidance to C-suite executives and organizational leaders. The division distinguishes itself by conducting large-scale, multi-industry surveys that translate complex AI operational challenges into measurable maturity assessments and comparative benchmarking analyses ¹⁾.

The enterprise division's work extends beyond traditional business journalism to encompass quantitative research methodologies, stakeholder surveying, and framework development that serve both established corporations and emerging digital-native organizations seeking to operationalize artificial intelligence capabilities at scale.

A prominent example of The Economist Enterprise's research output is the 2026 benchmarking report titled “Making AI deliver: A benchmarking framework on how leading companies operationalise AI for impact.” This comprehensive study surveyed more than 1,220 global executives across eight distinct industries, with particular attention to digital transformation leaders ²⁾.

The research included participation from 150 digital-native company leaders, representing a significant cross-section of organizations at the forefront of AI adoption and implementation. The benchmarking framework developed through this research provides metrics and assessment criteria for evaluating organizational AI operational maturity across multiple dimensions ³⁾.

The Economist Enterprise's 2026 research spans eight major industries, reflecting the breadth of AI adoption across different sectors of the global economy. By surveying executives across diverse industry verticals, the research provides both industry-specific insights and cross-sector comparative analysis. The inclusion of digital-native company leaders ensures that the benchmarking framework captures the distinct challenges and approaches of technology-forward organizations that have built AI implementation into their foundational business strategies.

The multi-industry approach allows organizational leaders to benchmark their AI operational capabilities not only against peers within their own sector but also against best practices and operational patterns emerging across different industries and business models.

The Economist Enterprise's benchmarking frameworks serve a critical function in the broader enterprise AI landscape by providing quantitative, evidence-based assessments of how organizations operationalize artificial intelligence for measurable business impact. Rather than focusing solely on technology adoption metrics or AI spending levels, the research prioritizes operational maturity—the extent to which organizations have developed processes, governance structures, and organizational capabilities to extract value from AI investments.

This focus addresses a recognized gap between AI investment levels and actual business impact realization. The enterprise division's research provides organizations with comparative metrics, maturity assessment tools, and strategic guidance for bridging the gap between AI capability deployment and business value creation.

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