As investors increasingly rely on AI-powered analysis and a wider array of information sources, companies need to ensure that their strategy and governance narratives in their proxy statements tell a story that is both accurate and resilient across a range of investor interests.
Addressing diverse and sometimes divergent investor interests
The proxy ecosystem is becoming increasingly fragmented. Large institutions may have different stewardship approaches; pass-through voting and voting-choice programs are breaking up previously monolithic voting blocs; proxy advisers are evolving their models to consider multiple perspectives; and AI will increasingly influence how investors analyze companies and their disclosures.
Paradoxically, the answer to this fragmentation is not more versions of the company's story. It is a clearer core story that can withstand more ways of being evaluated. Rather than developing five narratives designed to appeal to five different perspectives, a company should build one compelling narrative that holds up when viewed through five different lenses.
That narrative also should not begin with the proxy statement. The proxy should be the culmination of a conversation the company has been having with investors all year. Earnings materials, investor conference presentations, 1:1 meetings, press releases, and other communications all provide opportunities to establish the business context that eventually makes the compensation and governance decisions described in the proxy statement understandable.
If, for example, a company has spent the year explaining that it is prioritizing cash generation over near-term growth, its compensation framework should reinforce that strategy. When investors reach the proxy, the connection between strategy, performance, compensation and governance should feel logical rather than newly constructed.
Making direct investor touchpoints count
Twenty years ago, much of the information available to an investor evaluating a company came from sources the company either controlled or substantially influenced: SEC filings, the corporate website, press releases, advertising and direct investor communications. Investors could supplement those materials with analyst research, financial media, competitor commentary and online discussion.
Today, the information environment is radically more diffuse – and profuse. Investors encounter company information through financial and mainstream media, social platforms, online communities, third-party databases and, increasingly, AI tools that synthesize information from multiple sources.
As a result, companies control a smaller share of the overall information environment surrounding them. That makes the communications they do control more valuable, not less. Every earnings call, investor meeting, conference presentation and SEC filing is an opportunity to reinforce a clear narrative that can remain recognizable even after it has been summarized, compared, filtered, or interpreted by somebody else.
Using AI to pressure-test the proxy
Investors may increasingly use AI to summarize proxy statements, identify issues, compare disclosure with prior years or peers, and assess consistency across different company communications. Issuers can use similar tools before publication to understand how their own disclosure may be interpreted.
In an appropriately secure AI environment, companies can pressure-test the proxy with questions such as:
What would a financially oriented investor conclude are the company's three most important priorities?
Where might a governance-focused investor see a disconnect between strategy, performance, and compensation?
Would an investor understand why the company changed its compensation program and how those changes relate to strategy?
Does the proxy tell the same strategic story as the company's earnings communications over the past year?
Are there inconsistencies between the CD&A, shareholder letter, governance discussion, and other key sections?
If an AI tool reduced this proxy to five takeaways, would they be the five takeaways management and the board intended?
The last question may be the most important. The communications risk presented by AI is not simply that a model gets a fact wrong. It is that it gets every fact right and still gets the story wrong.
Companies should therefore evaluate their proxy statements not only for factual accuracy and disclosure compliance, but also for what a reader – human or machine – will conclude from the document as a whole. In a fragmented information environment, narrative consistency becomes a form of resilience.
Editor’s Note: Sydney Isaacs participated in CommPRO’s “2027 Proxy Season Preview” roundtable alongside Keith Gottfried (Gottfried Shareholder Advisory LLC), William Fiske (Georgeson), Brendan Foo (Forward Global), Amy Pandit (Jones Day) and Ryan Nowicki Stewart (Pennant AI).
