Benchmark Survey · 2026

AI in Investor Relations

AI tools are moving faster than most firm policies. Many IR teams are weighing productivity gains against compliance risk without visibility into how peers are navigating it.

Time

7 Minutes

Anonymity

Fully Anonymous

01 ·

What this survey explores

T-01
AI Governance & Policy

Whether firms have a formal policy in place — and what it covers

T-02
Workflow Application

Where AI is actually being applied — summaries, DDQs, targeting, reporting

T-03
🔧
Tools in Use

Which AI tools IR teams are actively using and how they're being accessed

T-04
🔒
Adoption Barriers

Governance friction, data quality gaps, leadership alignment, and training deficits

T-05
12–24 Month Outlook

Where IR professionals expect the greatest AI-driven value over the near term

02 ·

What early responses reveal

"AI is being used — but the infrastructure to govern it hasn't kept pace with the adoption curve."

Tool landscape
"ChatGPT is universal. Copilot and Claude are neck and neck behind it."

Every early respondent uses ChatGPT. Microsoft Copilot and Claude are each used by half of respondents — often alongside each other.

Where value is created
"Summaries and DDQs are where AI is earning its place."

Summarising meeting notes and preparing DDQ/RFP responses are the two use cases rated most valuable — each cited by the majority of early respondents.

Biggest opportunity ahead
"Portfolio data extraction is the next frontier."

Extracting portfolio data for LP reporting is the most commonly cited near-term opportunity — suggesting current tooling still falls short on structured data workflows.