The State of AI in Customer Support 2026
We surveyed support, CX, and operations leaders to find out what AI looks like in the support queue today, and what it will take for it to go further.
What you'll find inside
Understand what AI is really doing in support, see where it stalls, and know where to focus next.
- 01
What AI does today
Where AI runs, the use cases delivering real returns, and how far along teams actually are.
- 02
Where it breaks, and why
Escalation, repeat contacts, the disclosure gap, and the integration ceiling that caps how much AI can resolve.
- 03
Five moves worth making
Practical steps from the data to raise real resolution, protect CSAT, and survive the ROI conversation.
Who we surveyed
A direct survey of support leaders, fielded September 2026.
84%
in roles responsible for support strategy or operations
5+
industries including eCommerce, SaaS, healthcare, logistics and fintech
Based on responses collected in September 2026 from support leaders reached out to directly. Figures are self-reported. Incomplete and low-quality responses were removed before analysis.
Key takeaway
72%
rate their AI 4 or 5 out of 5 for overall performance.
49%
say the top customer complaint is not being able to reach a human.
45%
of teams say more than half of AI-handled contacts come back to a human anyway.
That's a sample. The full report has the rest.
See where your support team stands
The full benchmark from 101 support leaders. Free to download.