2026 Industry Benchmark: AI & Agentic Engineering in the Workplace
Insights from 42 professionals across enterprise, SMB, and startup organizations on AI tool adoption, investment trends, and ROI measurement
Key Findings
Five insights from our survey of 42 professionals across enterprise, SMB, and startup organizations
63%
AI Tools Are Moving Beyond Evaluation
Most organizations have moved beyond shadow IT—63% officially support or are actively evaluating AI coding tools, up from 41% in 2025.
58%
Investment Is Accelerating
58% of respondents report increasing AI investment for the next 12 months, with enterprise organizations leading adoption at the strategic level.
Top 3 Concerns
The Real Barrier Isn't Technology
Data sovereignty (47%), security vulnerabilities (39%), and cultural resistance (31%) remain the primary blockers to broader adoption.
67%
Daily Use Is Now the Norm
67% of surveyed teams use AI coding tools consistently or sometimes in day-to-day tasks, with Claude Code and Cursor leading in daily adoption.
38%
ROI Measurement Remains a Challenge
38% of organizations don't measure AI tool ROI at all, while only 28% have structured KPIs in place—highlighting a critical gap in proving value at scale.
Why this report matters
Engineering teams are at a critical decision point. AI coding tools promise productivity gains, but questions about ROI, security, and implementation create uncertainty. Without clear data on what works, teams struggle with tool selection, measuring impact, and addressing compliance concerns.
This benchmark provides the data-backed insights you need to make informed decisions. Based on real-world adoption patterns from 42 professionals across multiple industries, you'll understand investment trends, security priorities, and proven approaches to AI tool adoption.
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