Jamie Dimon Rallies Over 40 Companies to Combat Growing AI Risks Across Critical Infrastructure

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JPMorgan Chase CEO Jamie Dimon is spearheading a cross-industry effort to tackle AI risks by expanding the Alliance for Critical Infrastructure. The initiative brings together over 40 companies from financial services, energy, telecommunications, and other critical sectors to develop shared safeguards and work with the Trump administration on AI governance.

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JPMorgan CEO Jamie Dimon Spearheads AI Risk Prevention Initiative

Jamie Dimon, CEO of JPMorgan Chase, is personally recruiting corporate leaders to join a U.S.-focused initiative addressing AI risks as businesses rapidly deploy the developing technology

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. Dimon has reached out to CEOs of major banks, regional lenders, and IT companies to expand the Alliance for Critical Infrastructure (ACI), a group JPMorgan helped establish alongside Mastercard and Berkshire Hathaway Energy

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. The outreach, which began in July, includes over 40 companies spanning financial services, energy, water, utilities, telecommunications, airlines, railroads, and other critical infrastructure sectors that rely heavily on technology

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. The ACI and Dimon have scheduled calls for August to discuss strengthening cybersecurity collaboration, though results have not yet been disclosed

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Understanding AI-Related Risks and Building Safeguards

The cross-industry effort to tackle AI risks aims to develop a shared understanding of how AI is being used, the risks it poses, and the safeguards needed across critical infrastructure

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. The initiative plans to work directly with the Trump administration on these issues, with sources indicating the revamped ACI should be fully functional by year-end

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. Recent cyberattacks on water systems in Minnesota and other states have heightened the urgency for information sharing across industries

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. The ACI would serve as an industry response and information-sharing forum, working with government officials to identify core AI and technology risks, share information, and help solve problems as they emerge

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. Dimon stated that ACI leadership saw the need to prioritize AI governance "years ago and got critical infrastructure companies working together"

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Addressing AI-Enabled Threats to Critical Infrastructure and Financial Systems

AI concerns have grown rapidly as businesses race to deploy the technology, with regulators and industry leaders warning that AI could increase cyberattacks and create new vulnerabilities across critical infrastructure and financial systems

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. Dimon has been among a small group of CEOs publicly warning about the risks posed by advanced AI systems, particularly Anthropic's Mythos AI model

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. In July, he cautioned that "you're giving ballistic missiles to individuals with Mythos," underscoring that access to advanced AI capabilities must be controlled

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. Despite his concerns, Dimon remains a strong advocate of AI—JPMorgan spends approximately $2 billion annually, a tenth of its technology budget, developing it

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. The ACI AI threat prevention effort is separate from an industry initiative by banks to test Mythos

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Government Coordination and the Gold Eagle Initiative

The U.S. government has stepped up coordination with industry to manage risks from increasingly powerful AI systems

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. In July, it launched the Gold Eagle initiative, bringing together AI developers, critical infrastructure operators, and federal agencies to share information on vulnerabilities discovered by advanced AI models and coordinate fixes

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. This voluntary initiative uses frontier AI capabilities to spot, verify, and prioritize vulnerabilities, cut back on duplicative scanning, and distribute information that organizations can use to address security weaknesses

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. Meanwhile, concerns over Chinese open-weight AI models intensified after Beijing-based Moonshot AI launched its Kimi K3 model, which matched leading systems from OpenAI and Anthropic on some benchmarks, prompting the Trump administration to renew efforts to restrict foreign open-source AI models

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. Watch for increased regulatory scrutiny as frontier AI models demonstrate capabilities to identify vulnerabilities, generate working exploits, and execute attacks faster and on a larger scale than earlier AI systems. The convergence of industry-led initiatives like the Alliance for Critical Infrastructure and government programs like Gold Eagle signals a recognition that AI governance requires coordinated action across sectors, particularly as attackers and defenders deploy the same AI technologies to enhance their capabilities.

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