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Nasdaq BofA Securities 2026 Information & Business Services Conference summary

Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.
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BofA Securities 2026 Information & Business Services Conference summary12 Mar, 2026

Strategic transformation and business model evolution

  • Nearly 80% of revenue now comes from non-trading businesses, including data, indexing, corporate services, and technology solutions.

  • The company has shifted focus over the past decade to become a scaled technology and information services provider.

  • Leadership emphasizes durable growth and financial discipline, targeting 9%-12% growth in solutions and proven performance in four of the last five years.

  • The CFO brings extensive experience in financial modernization and integration from prior roles at UBS and JPMorgan.

Artificial intelligence and technology initiatives

  • AI is integrated across nearly all products, with a foundation built over a decade of cloud and data investments.

  • 89% of clients have GenAI in their infrastructure, but only 7% have fully deployed it, indicating significant growth potential.

  • The addressable market for AI-driven services is $38 billion, growing at 9%, with expectations for further expansion as clients shift spending from internal to vendor solutions.

  • AI-powered data is sold to intermediaries and major platforms, with strong governance and real-time value emphasized.

Anti-financial crime and enterprise growth

  • Financial crime issues have grown from $2.5 trillion to $4.4 trillion globally since 2023, driving demand for AI-enabled solutions.

  • The anti-financial crime unit has added 750 clients since acquisition, including 22 enterprise clients, and now serves over 2,760 banks.

  • GenAI and agentic AI workers are being deployed to address client pain points, with six more in development.

  • International expansion and enterprise client growth are expected to accelerate revenue, with a nine- to twelve-month lag before impact is seen.

Detail the rollout of agentic AI in AFC unit
Describe the issuer-centric tokenization model
Assess software's impact on the listing pipeline
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