Boutique Managers Say AI's Value Depends on Judgment

As AI tools spread across the industry, delegates argue specialist human expertise will set firms apart, though no measured results were reported.

Updated on Nov. 4, 2026 in Artificial Intelligence

Boutique Managers Say AI's Value Depends on Judgment

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At its annual conference in Florence, the Group of Boutique Asset Managers (GBAM) concluded that AI's value depends on human judgment. Delegates acknowledged AI is already delivering efficiency gains, and the research-stage discussions distinguished between automating existing workflows and using AI to generate new insights.

Why it matters

Delegates cautioned that many AI capabilities will become widely accessible across the industry, which limits their potential to differentiate individual firms. GBAM said boutique managers could be well positioned to combine AI with specialist expertise.

The conference reported no measured benchmarks, performance figures, or costs for the AI tools discussed. The findings are qualitative positions taken by delegates rather than demonstrated technical results.

The players

Group of Boutique Asset Managers (GBAM)

An international network of independent asset management firms whose members include SKAGEN Funds, MAPFRE, Aubrey Capital Management, Ranmore Fund Management, and First Avenue.

Tim Warrington

GBAM chair and former chair and chief executive of SKAGEN, who is also executive director at Storebrand Asset Management.

The details

The conference discussed AI's role across investment research, software development, marketing, and operational processes. Discussions separated automating existing workflows from using AI to generate new insights, the latter meaning AI producing analysis rather than simply speeding up established tasks.

Timeline

  1. November 4, 2026: Article published on GBAM conference outcomes.

The Tech Race

The GBAM conference positions boutique managers as potentially advantaged by combining AI with specialist expertise, rather than by AI tools alone. The research-stage positioning here contrasts with the competitive race among large firms building proprietary models.

Investment clients may see boutique managers emphasize human judgment alongside AI tools in their process. No availability, pricing, or dates were announced for any specific firm's offering.

The takeaway

Firms will need to consider how they develop their people and investment processes as AI tools become more commonplace. Watch whether boutique managers can show performance results from combining AI with specialist expertise in the coming year.

Further reading

For more on the technologies shaping these debates, see the Artificial Intelligence section.

Source note: This article includes information reported by Financial Standard.

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