AI in the real world in 2026: key findings
How is AI delivering measurable value across settlement, asset servicing and securities processing today?
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AI has moved from pilot to production across post-trade in 2026, with 49% of firms running generative AI live and 80% using it in some form. Yet only 11% have agentic AI in production, and 78% say almost all use cases still require human oversight.
In partnership with Broadridge, DeepSee and ISSA, these key findings map where AI delivers value today and what will shape the next phase of scale.
GenAI live
Maturity
Adoption has crossed from experimentation into everyday post-trade operations.
Only 11% are live in production with Agentic AI.
Business impact growing
Impact
The rise in AI's expected business impact over the next three years
From 2.43 today to 3.79 in three years.
Adoption, not autonomy
Governance
Scaling AI remains a question of trust and control, not just capability.
Only 9% are targeting a fully AI-native operating model.
Firms are embedding generative AI in production, measuring value through efficiency and cost, and keeping human oversight central as they weigh how far and how fast to scale.
The research highlights:
where generative AI has landed, and where agentic AI is still maturing
which core operations sit furthest behind their own ambitions
how far firms expect AI's business impact to climb over the next three years
what clients now demand from AI-enabled providers
what is really holding scale back, when appetite is not the problem
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