State of AI Reports — 2026

Annual NVIDIA survey of retail and CPG professionals on AI adoption across supply chain, customer experience, and store operations. Part of NVIDIA's vertical-specific State of AI series.

NTT DATA global survey of manufacturing AI leaders on investment priorities, architecture decisions, and governance approaches. Part of NTT DATA's 2026 Global AI Report series.

Cisco report on AI adoption in manufacturing, covering use cases, readiness gaps, and infrastructure requirements across industrial environments. Part of Cisco's broader Industrial AI research series.

NVIDIA survey of 1,000+ telecom professionals worldwide on AI adoption, use cases, ROI, and infrastructure planning. Covers AI in network operations, service delivery, and the path toward 6G readiness.

Industry-specific cut of Deloitte's 2026 State of AI in the Enterprise survey. Examines how TMT companies are deploying AI at scale, covering product strategy, internal operations, and the gap between AI ambition and production readiness.

Industry-specific cut of Deloitte's 2026 State of AI in the Enterprise survey. Draws on responses from senior leaders across energy, resources, and industrials companies to show how AI adoption and priorities differ in this sector.

Industry-specific cut of Deloitte's 2026 State of AI in the Enterprise survey. Examines AI adoption patterns, investment priorities, and governance approaches across banking, insurance, and asset management.

Sixth annual NVIDIA survey of 800+ financial services professionals on AI adoption, ROI, and strategy. Covers use cases across banking, insurance, and asset management, with a focus on open source models and agentic AI.

Industry-specific cut of Deloitte's 2026 State of AI in the Enterprise survey. Focuses on how biopharma, medtech, health plans, and health systems are approaching AI adoption, with attention to clinical, operational, and regulatory considerations.

Bessemer Venture Partners annual look at AI investment and adoption in health. Maps the company landscape, funding trends, and where agentic AI is beginning to take hold in clinical and administrative workflows.

Annual Doximity survey of practicing physicians on AI use in clinical settings. Covers tools in active use, areas of application, and physician attitudes toward AI in patient care.

Second annual NVIDIA survey of 600+ healthcare and life sciences professionals on AI adoption and ROI. Covers medical imaging, drug discovery, administrative workflow, and the shift from experimentation to production.

Annual synthesis from the ARISE Stanford-Harvard Research Network covering the most significant developments, evidence, and challenges in clinical AI. Aimed at clinicians, health system leaders, and policymakers.

Brookings Institution analysis of AI adoption across the federal government, drawing on agency-submitted use case inventories. Covers adoption rates, deployment contexts, and mission-critical applications across 41 agencies.

White paper covering binding AI laws now in effect across the EU, US, APAC, and Latin America. Aimed at compliance and privacy teams translating legal requirements into operational controls and documentation.

Rotascale report examining how enterprises are building governance frameworks to manage AI systems in production. Covers organizational oversight, risk management, compliance, and the structures organizations need as AI moves from experimentation into regulated environments.

Cisco's annual report on AI security, covering threat intelligence, global AI policy, and security research. Examines AI-specific vulnerabilities including prompt injection, jailbreaks, supply chain risks, and threats emerging from agentic AI deployments.

Led by Yoshua Bengio and authored by 100+ AI experts, with advisory panels from 29 nations plus the UN, OECD, and EU. Created following the 2023 Bletchley Park AI Safety Summit to build a shared international scientific understanding of AI risk.

Georgetown CSET research mapping 1,000+ AI governance documents across risks, actors, industry sectors, lifecycle stages, and legislative status. A research-grade resource for tracking how global AI governance is taking shape.

IAPP report mapping the AI governance vendor ecosystem. Focuses on comprehensive governance providers rather than point solutions. Aimed at organizations evaluating governance tooling as AI adoption scales.

Survey of 950 C-suite and senior business leaders across 10 industries, conducted February-March 2026. Focuses on AI governance readiness, audit confidence, and the relationship between governance maturity and business performance.

McKinsey survey examining AI trust, governance maturity, and the barriers organizations face as they scale agentic AI. Tracks responsible AI program adoption and risk management practices across functions.

Accenture research examining the shift from AI as a productivity tool to AI as a collaborative partner in decision-making and execution. Draws on task-level analysis across 18 industries using O*NET and Bureau of Labor Statistics data.

Quarterly snapshot of AI funding, deals, and market trends through Q1 2026. Tracks private investment by sector, geography, and stage.

Global study of 1,217 senior executives across 25 sectors examining how AI-driven financial performance is distributed across organizations. Part of PwC's AI Performance Study series, focused on what separates companies that capture economic value from AI from those that don't.

Info-Tech Research Group's annual analysis of the AI trends most likely to influence IT strategy and leadership. Covers agentic AI, AI governance frameworks, enterprise AI tooling, and the tension between AI innovation and regulatory control. Aimed at CIOs and IT decision-makers across the Global 2000.

15th annual benchmark survey of ~110 Fortune 1000 companies and global brands, focused on the CDO role, data and AI investment priorities, and organizational readiness. Published by Randy Bean and widely cited in HBR, MIT Sloan Management Review, and The Wall Street Journal.

Annual predictions report from Gartner's data and analytics research team. Covers enterprise AI spending, data readiness gaps, infrastructure investment, and emerging disruptions in the productivity software market.

Google Cloud report identifying five major shifts in enterprise AI agent adoption. Based on executive survey data and Google Cloud platform insights across industries.

Bi-annual survey of ~300 executives at AI software companies, tracking business model trends, pricing shifts, and financial performance benchmarks across the AI software market.

MIT Technology Review Insights research report based on executive interviews and survey data. Examines why AI deployment stalls and what separates organizations that successfully scale from those that don't.

WEF companion report to AI at Work, focusing on the organizational structures and cultural conditions that allow AI to scale. Based on interviews and case studies with global enterprises.

WEF report examining how organizations are moving beyond AI productivity tools toward structural transformation. Covers workflow redesign, talent strategy, and what effective leadership looks like at scale.

Cross-industry survey of 3,200+ respondents spanning financial services, healthcare, retail, telecom, and manufacturing. Covers AI adoption rates, ROI, open source strategy, and agentic AI rollout.

Survey of 3,650 C-suite executives on AI adoption and organizational change. Part of Accenture's annual Change Index tracking how leaders are managing transformation at scale.

Quarterly pulse survey of business leaders on AI spending intentions, deployment timelines, and budget commitments. Tracks sentiment on AI investment even amid broader economic uncertainty.

Survey of 2,500 technology executives across 27 countries. Examines whether governance, oversight, and organizational readiness are keeping pace with AI adoption.

Annual survey of business leaders on AI adoption, investment, and business impact. Tracks how organizations are restructuring to capture value from AI, with a focus on what separates high performers from the rest.

Annual survey of 3,235 senior leaders across 24 countries, including C-suite and board members. Focuses on how organizations are moving from AI ambition to operational activation.

Draws on anonymized telemetry from 20,000+ organizations including 60%+ of the Fortune 500. Covers enterprise AI agent adoption, multi-agent architecture trends, and the role of unified governance in scaling AI.

Survey of 600 senior IT and business leaders on AI infrastructure readiness. Conducted by Vanson Bourne in partnership with DDN, Cognizant, and Google Cloud. Covers complexity, skills gaps, and barriers to deployment.

Living research database from Epoch AI tracking training compute, hardware performance, model scaling, and cost trends over time. Updated continuously with underlying data available for download.

Annual 400+ page index from Stanford's Institute for Human-Centered AI. Covers technical performance, investment, responsible AI, education, policy, and public opinion across nine chapters. Includes full underlying datasets.