Economy May 21, 2026 12:48 PM

JPMorgan Expands AI Usage Across Global Investment Banking Operations

Asia investment banking head says the bank is in early stages of deploying AI tools to streamline client engagement and content preparation

By Hana Yamamoto

JPMorgan has begun deploying artificial intelligence tools across its global investment banking division, according to its Asia Pacific investment banking chief. The bank is among a group allowed to use Anthropic's Mythos model under Project Glasswing. JPMorgan executives say AI is helping synthesize information and speed the production of client materials, while industry observers warn of potential cybersecurity risks linked to powerful models that can probe legacy systems.

JPMorgan Expands AI Usage Across Global Investment Banking Operations

Key Points

  • JPMorgan is deploying AI across its global investment banking division, currently in an early phase of adoption.
  • The bank is among a limited group permitted to use Anthropic's Mythos cybersecurity model under Project Glasswing.
  • AI is reported to accelerate information synthesis and the preparation of client-facing materials, improving bankers' capacity to engage with more clients more efficiently. Sectors impacted include investment banking, financial services technology, and cybersecurity.

JPMorgan is rolling out artificial intelligence capabilities across its investment banking business worldwide, the bank's head of investment banking for Asia Pacific said on Thursday, placing the firm among early adopters in the sector to apply such tools at scale.

Paul Uren, who leads the bank's investment banking operations in the region, described the effort as being in its early phase. He said the bank is enthusiastic about developments in AI and is testing ways to use the technology to support bankers.

"We are in the early phase adopting AI tools throughout our investment banking business globally but are excited by the developments," Uren said. He did not identify specific products or providers being used by bankers, but explained the practical benefits the tools deliver.

According to Uren, the AI capabilities allow teams to access a broader set of information and quickly synthesize it without relying solely on internal systems. He added that AI has helped streamline the preparation of content and materials and enabled bankers to engage with a larger number of clients more efficiently.

Earlier on Thursday, JPMorgan's chief executive told Bloomberg News the firm planned to hire more AI specialists and fewer conventional bankers, a comment made in the context of peers shifting headcount strategies as they incorporate automation and machine learning.

JPMorgan is one of a small number of organisations permitted to use Anthropic's Mythos cybersecurity model under the controlled Project Glasswing initiative. Anthropic describes Mythos as a model capable of finding long-standing vulnerabilities in web browsers, infrastructure and software.

That capability has triggered concern among cybersecurity experts who warn it could be used to supercharge more sophisticated cyberattacks. Observers point to the risk this poses for the banking sector, particularly given its dependence on legacy technology in some areas.

Uren emphasised internal gains from AI in investment banking workstreams, highlighting efficiency in content creation and client outreach. He declined to specify which specific AI applications are in active use.


Context and scope

  • JPMorgan is implementing AI across investment banking globally, with deployments described as early stage.
  • The bank has access to Anthropic's Mythos model through Project Glasswing, a controlled initiative that permits limited use of the model.
  • Bank executives report AI is helping synthesize information and speed preparation of client materials, while cybersecurity experts warn of potential risks tied to capabilities that can detect longstanding system vulnerabilities.

Risks

  • Powerful models like Mythos can identify decades-old vulnerabilities in software and infrastructure, raising the prospect of more sophisticated cyberattacks that could affect the banking sector.
  • The adoption of AI is associated with changes in workforce composition - the bank expects to hire more AI specialists and fewer traditional bankers - which may have implications for employment in investment banking.
  • Reliance on AI to synthesize information without full integration with internal systems may introduce operational or oversight challenges for banks managing sensitive client and transaction data.

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