The Future of Fund Marketing Is Here
Published by EYQA | Research by SG Analytics | Transformation Amplified by EYQA®
How top firms leverage GenAI for 12-18 month market advantages – with actionable frameworks amplified for institutional adoption







๐ EYQA Strategic Lens
The 2025 Fund Marketing Survey by SG Analytics delivers the most comprehensive insights on GenAI adoption—revealing scaling strategies that separate leaders from laggards. EYQA transforms these findings into actionable plans for workflow, timing, and content, amplifying impact where it matters most. Here's how top firms are pulling ahead—and how your firm can close the gap.
๐ 71% of fund marketers are already using or piloting GenAI tools—but only 16% have fully operationalized them. This gap is where early adopters accelerate value and seize market share.
—SG Analytics Fund Marketing Survey Report 2025 (p.7)
Executive Snapshot
The 2025 fund marketing landscape is a race for AI dominance. Leaders leverage GenAI for:
- Hyper-personalized content (e.g., investor narratives tailored in hours, not days). Fund marketers are using GenAI to produce scalable, customized materials—from social media posts to factsheets—at unprecedented speed, significantly boosting investor engagement and campaign performance.
- Compliance agility (dynamic disclosure management). Automated content workflows integrated with compliance checks are reducing review cycles and ensuring regulatory adherence, especially across factsheets, newsletters, and periodic updates.
- Talent transformation (upskilling teams in prompt engineering). As GenAI tools become central to daily operations, fund marketing teams are evolving—adopting AI fluency and prompt engineering as core capabilities for content creation, campaign planning, and analytics-driven decision-making.
Where Does Your Firm Stand?
Below, we break down the adoption tiers, strategic advantages, and next steps for firms at every stage.
๐งญ The Adoption Race Is On
Tier | Stage | Key Traits | Competitive Edge |
---|---|---|---|
Front Runners (16%) | Fully integrated | • AI-generated investor content • Real-time compliance monitoring |
12–18 month market advantage |
Experimenters (55%) | Piloting 1–2 use cases | • Automated pitch decks • Basic analytics |
Faster personalization |
Observers (29%) | Evaluating | • Compliance concerns • Legacy tool reliance |
Risk of falling behind |
๐ Case in Point: BlackRock's Aladdin Copilot
BlackRock's GenAI assistant for investment teams demonstrates AI's transformative potential:
- Natural language queries generate investment briefs and analyze market data in seconds.
- Reported impact: 40% faster client responsiveness and scalable narrative generation.
"Aladdin Copilot is designed to strengthen the platform's connectivity, providing instant insights to support key business decisions and uncover actionable information efficiently." — BlackRock
This showcases how GenAI, when embedded at scale, enables firms to shift focus from operational grind to strategic impact—reshaping fund marketing and investment communication from the ground up.
๐ฏ The Strategic Edge
Early adopters dominate by mastering three capabilities:
Hyper-Personalized Storytelling
Turn raw data into investor-ready narratives (e.g., "Our AI drafts performance commentaries in 2 hours vs. 2 days").
Regulatory Agility
Use AI to auto-update disclosures as regulations evolve.
Future-Ready Talent
Train teams in prompt engineering—the #1 skill gap in 2025.
๐งฑ Roadblocks to Scale
GenAI adoption is accelerating, but fund marketers face critical obstacles:
1. Legacy Systems
- Challenge: 42% of firms struggle with integrating GenAI into outdated marketing infrastructure.
- Solution: Prioritize API-friendly AI tools that plug into existing workflows without system overhauls.
2. Talent Shortage
- Challenge: 50% of asset managers lack in-house AI expertise.
- Solution: Upskill teams in prompt engineering and AI collaboration.
3. Compliance Fears
- Challenge: 49% hesitate due to unclear AI regulations.
- Solution: Start with low-risk use cases (e.g., automated report tagging) to build confidence.
๐ ️ Action Plan by Stage
- Front Runners: Audit AI capabilities quarterly; explore edge cases (e.g., sentiment analysis).
- Experimenters: Double down on one high-ROI use case (e.g., pitch deck automation).
- Observers: Pilot compliance-safe tools (e.g., ChatGPT for draft content).
๐ฅ Go Deeper
Download the Full Report:
SG Analytics Fund Marketing Survey Report 202545-page PDF with AUM benchmarks, case studies, and tech insights.
SG Analytics × EYQA Transformation Series
Proprietary Research Disclaimer: This report contains forward-looking statements based on SGA's 2025 Benchmark Survey (n=80+) and EYQA's VISTA-Validated Methodology. Efficiency gain projections (30%+) reflect median outcomes from early adopters.
Institutional Use Only: Frameworks are amplified for professional implementation. Not retail investment advice. Case studies represent observed outcomes; past performance ≠ future results.
Regulatory Status: AI tools discussed may be subject to jurisdiction-specific compliance requirements. Consult legal counsel before deployment.
Takedown Requests: To report inaccuracies or request content removal, email elevateyourqa@gmail.com.
© 2025 EYQA® | SG Analytics. All rights reserved. EYQA®VISTA is a trademark of EYQA.