A full view of how revenue leaders are adopting AI today, plus benchmark data showing how adoption, investment, and impact vary by role, company size, and organizational maturity.
- 15 questions on AI in the revenue org
- 2026 benchmarks across adoption, spend, and ROI
- 1 easy survey submission
The definitive read on AI in the revenue org in 2026
The AI for Revenue Leaders Report 2026 will cut through the noise around AI in sales and revenue.
While the headlines swing between hype and disappointment, this report goes straight to the people running the numbers: senior revenue leaders deploying AI inside real organizations.
It captures how far adoption has actually progressed, from individual experimentation to agentic workflows in production.
It maps who owns AI strategy, where budgets are heading, and which metrics leaders trust to judge return. And it confronts the question most reports avoid: beyond productivity gains, is AI moving revenue yet?
The result is a single, honest benchmark revenue leaders can use to see where they stand against their peers and where the function is heading next.
Help build the 2026 benchmark
By completing the survey, you will help produce the most complete picture of AI in revenue leadership to date. It takes three to five minutes, and your responses shape the report's headline findings.
Your responses will contribute to research on:
- Adoption stage and where AI runs in production
- Ownership, strategy, and buy-versus-build approaches
- AI spend and investment over the next 12 months
- ROI measurement and measurable business impact
- Hiring, headcount, and the roles AI is changing
- Barriers to value and where AI acts autonomously
- The human skills leaders expect to matter more
This year's survey is built around one question that matters most to revenue leaders: not whether AI is being used, but whether it is working.
