Artificial Intelligence Survey:
AI’s Impact on the Investment Process and Investor Relations
Corbin’s AI research encompasses views from 116 global investors and analysts managing more than $8.7 trillion in EAUM and 46 investor relations professionals across sectors, market caps, and demographics.
One of the most prolific topics of 2024 is how and to what extent the investment community and corporate issuers are leveraging artificial intelligence to augment their investment processes and IR functions, respectively.
Indeed, the investor relations industry is experiencing a renaissance, as more and more corporations are appreciating the value and impact IR has on company valuation and thus investing. As many IR departments are 1- to 2-people deep, AI can be a game changer in terms of efficiency and productivity. And the same can be said for active investing, which requires a comprehensive, often manual research approach.
In March, we shared with you preliminary thought leadership on AI through a two-part series. We’re excited to now present the complete thesis in our inaugural Artificial Intelligence Survey white paper. This comprehensive report synthesizes our earlier research and provides interesting new perspectives.
As a thought leader at the nexus of global market trends, we went directly to the sources to ask some of the more critical AI-related questions that are top of mind within the investment and corporate issuer communities to cut through the static
Key Findings and Insights
- While AI adoption is in its infancy, there is interest and early-stage implementation in both investment processes and IR Functions; AI is becoming a topic of interest in investor meetings
- Investment community and corporate issuers have identified clear use cases and benefits to augmenting workflows, including synthesizing earnings and ESG data
- Common challenges dragging on adoption identified – namely novelty, privacy, and complexity
- AI governance protocols are in the early stages, though roughly one-third indicate firm- and company-level restrictions
- The intersection between AI and IR is coming into focus: IR professionals are actively upskilling and in conversation with IT departments
Asset managers are adopting a range of AI technologies, but the human element remains pivotal for engendering trust in the investment opportunity and building relationships
Corporates must proactively adapt to the rapidly advancing AI landscape by developing AI literacy
Working closely with IT and Legal departments, IR professionals can explore the development of “closed loop” AI systems
IR teams can use AI tools like ChatGPT to refine management prepared remarks, support Q&A development, and check for alignment and disconnects
Next-gen analysis tools powered by AI are redefining how corporates approach complex tasks and strategic planning
As AI is increasingly integrated into investor research and active decision-making as well as corporate operations and investor relations, investor inquiries as to how companies are adopting and leveraging AI technologies
are growing
AI as a topic on earnings calls has exploded over the past two years – our analysis on company communications identifies seven core elements of best-in-class AI positioning statements