AI in Active Fund Management: The State of Adoption in 2026

Morningstar’s 2026 report suggests that AI is moving from experimentation to a more practical role in active fund management, with firms using it to sharpen research, improve idea generation, and support faster decision-making. The Counterpoint Global case study points to a broader shift in which human judgment remains central, while AI helps teams process more information and identify patterns that may be hard to see manually.

For investors and advisors, the opportunity lies in better efficiency and potentially stronger insight across large, complex markets. The main risks are uneven adoption, model limitations, and the chance that enthusiasm for AI could outpace proven investment results. Overall, the report frames AI as a useful tool for active managers rather than a replacement for disciplined portfolio construction and fundamental analysis.