Summary
As buy-side firms accelerate AI adoption, leaders must decide where AI truly adds value versus where simple automation is more effective. This article explores AI vs standard automation in asset management, outlining when deterministic, rules-based processes outperform AI — and how a hybrid approach reduces risk while driving operational efficiency.
Vera Shulgina
Vera is responsible for Arcesium's data strategy with a focus on driving value for clients through data solutions and data partner integrations.
Sources:
[i] EY, September 16, 2025. https://www.ey.com/en_us/insights/wealth-asset-management/gen-ai-in-wealth-asset-management-survey
[ii] Towards AI, January 9, 2026. https://pub.towardsai.net/the-shift-from-deterministic-automation-to-probabilistic-automation-7d99b115116e
[iii] Deloitte, October 30, 2025. https://www.deloitte.com/us/en/insights/industry/financial-services/financial-services-industry-outlooks/banking-industry-outlook.html
[iv] AI-Driven Regulatory Compliance: Transforming Financial Oversight through Large Language Models and Automation. (2025). Emerging Science Research, 3(01), 12-24. https://emergingpub.com/index.php/sr/article/view/48
[v] McKinsey, November 11, 2025. https://www.mckinsey.com/~/media/mckinsey/industries/...202025_v8.pdf