Turning AI experimentation into enterprise value

But the leaders are already looking beyond efficiency. They increasingly view AI as a catalyst for operating model transformation, product innovation and client differentiation. They are no longer asking where AI can automate individual tasks. They are asking how AI can redesign entire value chains, reshape operating models and create new sources of competitive advantage.

In our view, this reflects a broader shift now taking place across the sector. There is, however, another risk emerging for the industry. As AI becomes increasingly embedded within the platforms that many firms already use, access to the technology itself is becoming less of a differentiator. The greatest risk for investment managers may not be failing to adopt AI but adopting the same AI in the same way as everybody else. In that environment, competitive advantage will increasingly depend on proprietary data, operating model design and the ability to combine AI with differentiated human judgement. In other words, innovation itself is becoming the differentiator.

What differentiates the leaders is not the number of AI pilots they are running, but the extent to which AI is becoming embedded into the way their organisation operates. Efficiency may justify an AI investment. It rarely creates competitive advantage. The most successful firms are using AI not to optimise individual activities, but to reimagine how the organisation operates. That’s where things get interesting.

Using Agentic AI to shift operating models from fragmented, task-based processes to connected, end-to-end workflows, the leading asset and wealth managers are embedding AI across the organisation. This enables value to compound across the enterprise rather than remain trapped within individual use cases.