AI Hype vs. Reality: Only 8% of Fund Managers See Better Returns
A Morgan Stanley-Oliver Wyman report reveals a gap between AI adoption and actual investment returns for fund managers.
The global asset management industry is racing to integrate artificial intelligence, but the promised financial windfall remains elusive. According to a joint research report by Morgan Stanley and Oliver Wyman, only 8 per cent of fund managers have reported measurable improvements in AI investment returns, exposing a significant gap between technology adoption and actual profit.
The Adoption Gap: Integration vs. Impact
The findings, detailed in the September 2026 BluePaper report titled "Breaking from the Pack: The Race for Above-Market Growth," draw on data from the Mercer 2026 AI in Asset Management Survey. The data suggests that while the industry is eager to embrace the tech, the results are not yet reflecting in the bottom line.
The report reveals a high level of interest and implementation across the sector:
- 55 per cent of asset managers have already integrated AI into at least one part of their investment process.
- 27 per cent are currently in the testing phase of various AI applications.
Where AI is Actually Working
While the "alpha"—the ability to beat market benchmarks—remains elusive, AI is proving to be a powerhouse for back-end operations. The report indicates that the benefits are currently concentrated in productivity rather than profitability.
Operational Wins
The most significant gains have been seen in how firms operate internally. Specifically, 69 per cent of asset managers reported improved operational efficiency, and 55 per cent noted that AI has provided better insights and enhanced decision-making capabilities.
Research and Data Processing
AI has found its strongest foothold in the analytical stages of investing. The survey found that:
- 49 per cent of firms have integrated AI into investment research.
- 40 per cent are using it for data processing.
The Struggle with Core Investment Decisions
Despite the success in research, fund managers are hesitant to hand over the steering wheel to algorithms when it comes to the actual movement of money. The adoption rate drops sharply when looking at core investment functions:
- Only 13 per cent of firms have integrated AI into portfolio construction.
- A mere 7 per cent are using AI for trade execution.
The Productivity Paradox
The Morgan Stanley and Oliver Wyman report raises a critical question: does faster research actually lead to more money? The researchers caution that productivity gains do not automatically translate into enterprise-wide financial impact.
"Whether greater research breadth ultimately translates into persistent alpha remains unproven,"
the report stated, emphasizing that while AI helps firms process information at lightning speed, it has yet to prove it can consistently deliver superior returns for investors. Furthermore, the financial impact on the firms themselves is mixed, with only 24 per cent of managers reporting a reduction in costs.