AI Adoption & Impact Benchmarks 2026

Overview

The AI Adoption & Impact Benchmarks combine qualitative insights from engineering leaders at 130+ organisations with quantitative analysis across 1,800+ engineering teams to reveal how AI is impacting software delivery performance, operational maturity, and engineering workflows.

4 Key takeaways

• AI delivers significantly larger improvements among lower-performing engineering teams.

• Most organisations are still using AI in “basic assist” mode rather than deeply embedding it into workflows.

• AI adoption alone doesn’t guarantee success - constraints in process, workflow, and governance still limit performance.

• Leading organisations treat AI adoption as a structured transformation challenge, not just a tooling rollout.

The Definitive Guide to AI Adoption in Engineering

The AI Adoption & Impact Benchmarks combine qualitative research with quantitative benchmark data to reveal how engineering organisations are operationalising AI - and why some teams are seeing dramatically stronger outcomes than others.

Drawing on research from 136 engineering leaders and benchmark analysis across 1,800+ engineering teams, the report explores AI adoption patterns, operational maturity, workflow constraints, and the behaviours separating high-performing engineering organisations from the rest.