Figure 1. To what extent do you or your team currently use AI in the following activities? Sometimes
FIGURE 1 To what extent do you or your team currently use AI in the following activities?
Gathering and summarizing information on peer firms Often Usually
Gathering information before meeting with investors Summarizing information, including sell-side notes
Drafting scripts for conference calls or other events Preparing management for investor questions
Evaluating management's Q&A during conference calls Evaluating your own company filings (e.g. 10-K, 10-Q,
MD&A, etc.)
Analyzing metrics or models Drafting press releases
Management of company's messaging to the capital market
Targeting institutional investors or analysts Drafting sustainability (ESG) reports
Strategizing for proxy seasons Event planning
Preparing narrative disclosures (e.g. MD&A section of 10-K reports)
0% 20% 40% 60% 80% 100% Rarely Never
Many other activities such as drafting confer-
ence call scripts and press releases; preparing and evaluating management for investor questions or conference calls; and evaluating filings were rated about 35% “sometimes or more.” Broadly, the current use of AI is consistent with
other responses indicating a slow growth phase of AI as it begins to be integrated into IR activities. Respondents report the two most popular AI tools
within IR activities are ChatGPT (OpenAI) (49%) and Dall-E 2 (44%). After these two, respondents mention a variety of specific (such as Microsoft CoPilot) and general (such as large language models) tools.
Challenges in Using AI As AI evolves rapidly, IR professionals continue to face challenges in using it, especially in regulatory compliance, ensuring accuracy, data privacy, and cybersecurity risks. As shown in Figure 2, the biggest challenge relates
to the “Disclosure of material non-public information,” which 82% of respondents list as limiting their use of AI to at least a moderate extent – with 52% calling it a challenge to a very large extent. “Concerns about accuracy or bias” (91% moderate
Figure
2.To what extent do the following challenges limit your use of AI for IR activities?
FIGURE 2 To what extent do the following challenges limit your use of AI for IR activities?
Disclosure of material non-public information Very large extent
Concerns about accuracy or bias
Manipulation or harmful use Security and governance Cybersecurity risks Data privacy
General lack of knowing how to get started Lack of technical expertise
Lack of organizational support
Job loss due to automation Cost of implementation
0% 20% 40% 60% 80% 100%
IR Tech Skills and AI Training As a whole, IR professionals are a fairly confident group about their technology skills, with 78% report- ing feeling at least moderately savvy with technology, and 27% at least largely savvy.
– 24 S P R I NG 20 2 5 ■ IR UPDAT E ni ri .org/ irupdate Large extent Moderate extent Slight extent Not at all
or more) and “Data privacy” (74% moderate or more) were also part of the top three challenges. Cyberse- curity, security and governance, manipulation or harmful use, and lack of technical expertise were all significant challenges (60% moderate+). Survey respondents showed a hesitance over
whether they believe AI is safe and secure to use (43% disagreeing, 41% neutral, and 16% agreeing). Tey overwhelmingly welcome and support the role of AI regulation and don’t currently feel confident that there is adequate regulation of AI. Tese findings are detailed in Figure 3. Respondents do not view job loss from automa-
tion, cost of implementation, or lack of organizational support as major challenges.
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