# JPMorgan CEO Dimon Leads Cross-Industry Effort to Tackle AI Risks > Source: > Published: 2026-08-05 11:12:36+00:00 **August 5, 2026**, (Inside AI) — JPMorgan Chase CEO **Jamie Dimon** is spearheading a new cross-industry coalition to confront the escalating risks of artificial intelligence across U.S. critical infrastructure. The effort, built around the existing **Alliance for Critical Infrastructure (ACI)**, has already drawn interest from over **40 companies** in finance, energy, telecoms, and transportation, according to two sources familiar with the outreach. Dimon began personally recruiting CEOs in July, targeting major banks, regional lenders, and IT firms. The group plans to hold organizing calls this month to define collaboration on AI threats and safeguards, with a goal of having a revamped ACI operational by year-end. The initiative aims to forge a shared understanding of AI use cases, vulnerabilities, and necessary protections, and to coordinate directly with the Trump administration. The push comes as AI adoption accelerates across sectors, amplifying concerns about cyberattacks on essential services. Recent breaches, including attacks on water systems in Minnesota, have underscored the urgency. “At a time of growing cyber threats, protecting the systems Americans rely on every day requires strong collaboration between government and critical infrastructure companies,” the ACI said in a statement. Dimon, who has repeatedly warned about advanced AI dangers, framed the effort as a proactive step. “We are proud to support this important work,” he said, adding that ACI leadership identified AI as a priority “years ago and got critical infrastructure companies working together.” JPMorgan was a founding member of ACI alongside **Mastercard**, **Berkshire Hathaway Energy**, and others, originally focused on cross-sector resilience against physical and cyber threats. ## From Cyber Threats to AI Arms Race The refocused ACI represents a significant escalation in industry-led AI governance. While the group has not disclosed detailed plans, sources say it will serve as a forum for real-time information sharing and problem-solving with government officials. This model mirrors the U.S. government’s **Gold Eagle** initiative launched in July, which connects AI developers, infrastructure operators, and federal agencies to address vulnerabilities found by powerful models. Dimon’s alarm is not abstract. In July, he singled out **Anthropic’s Mythos** AI model, warning that “you’re giving ballistic missiles to individuals with Mythos.” His comments reflect a growing fear among executives that highly capable AI could be weaponized against critical systems. The ACI effort is separate from a parallel bank-led initiative to test Mythos, but both reflect an industry scrambling to keep pace with AI’s dual-use nature. The coalition’s cross-sector composition is deliberate. Financial services, energy grids, water utilities, and telecoms share interdependent digital infrastructure. A failure in one can cascade. By uniting these operators, the ACI aims to close information gaps that hackers exploit. [CISA’s critical infrastructure guidance](https://www.cisa.gov/topics/critical-infrastructure-security-and-resilience) has long emphasized such public-private collaboration, but AI introduces novel attack surfaces that demand faster, more adaptive responses. Yet, the initiative faces hurdles. Coordinating over 40 companies with competing interests and varying AI maturity levels is complex. The ACI’s original mission was broad, and pivoting to AI-specific risks requires new expertise and resources. Moreover, the Trump administration’s approach to AI regulation has been light-touch, raising questions about how aggressively the government will engage. The ACI’s success may hinge on its ability to translate industry consensus into actionable policy recommendations without getting bogged down in bureaucracy. ## An Industry at a Crossroads The ACI’s expansion arrives as global AI regulation fragments. The **EU AI Act** imposes strict requirements on high-risk systems, while the U.S. relies on voluntary frameworks and sector-specific rules. A recent [Stanford CRFM study on AI risk management](https://arxiv.org/abs/2308.00001) highlights the gap between technical capabilities and organizational preparedness, a gap that cross-industry bodies like ACI could help bridge by standardizing threat assessments. Dimon’s personal involvement lends weight, but the initiative’s long-term impact depends on sustained engagement beyond the C-suite. For now, the ACI’s revamp signals that corporate America is moving from talk to action on AI safety, even as the technology’s risks continue to evolve faster than the safeguards designed to contain them.