McKinsey Warns Agentic AI Could Cut Global Bank Profits by $170 Billion

The article is a forward-looking analysis and expert opinion piece about the transformative potential of AI in finance, particularly agentic finance where AI agents act on behalf of customers. It does not report any realized harm, incident, or specific hazard event involving AI systems. There is no mention of injury, rights violations, disruption, or other harms caused or plausibly caused by AI. The content is primarily contextual and strategic commentary on AI's evolving role in finance, making it Complementary Information as it enhances understanding of AI's ecosystem and implications without reporting a new incident or hazard.

The event involves AI systems (agentic AI autonomous bots) influencing customer financial decisions, which could plausibly lead to significant economic harm to banks. Since the harm is potential and not yet realized, and the article focuses on forecasting and strategic implications rather than an actual incident, this qualifies as an AI Hazard. There is no direct or indirect harm currently occurring, only a credible risk of future harm to bank profits due to AI adoption by customers.

The article explicitly mentions agentic AI systems that could influence customer behavior and banking profits, indicating AI system involvement. The harm described is a potential $170 billion profit decline for banks, which is a significant economic harm but has not yet materialized. The event is a warning or forecast about plausible future harm due to AI use in banking, not an incident where harm has already occurred. Hence, it fits the definition of an AI Hazard rather than an AI Incident or Complementary Information.

The article involves AI systems in the context of banking operations and customer recommendations, but it does not report any realized harm or plausible imminent harm caused by AI. There is no mention of injury, rights violations, infrastructure disruption, or other harms as defined. Instead, it provides a strategic economic outlook on AI's impact, which fits the category of Complementary Information as it enhances understanding of AI's broader effects without describing a specific incident or hazard.

The article involves AI systems (agentic AI agents) and discusses their potential use by consumers to optimize financial decisions. However, it does not describe any realized harm or malfunction caused by AI, nor does it describe a specific event where AI use has led to harm. Instead, it forecasts a plausible economic impact (profit decline) if business models remain unchanged. This is a credible future risk but not an immediate hazard or incident. The main focus is on providing analysis and insight into AI's impact on banking profits, which fits the definition of Complementary Information as it enhances understanding of AI's broader implications without reporting a specific harm or hazard.

The event involves AI systems (agentic AI) whose use could plausibly lead to significant economic harm (loss of $170 billion in bank profits) in the near future if banks fail to adapt. This fits the definition of an AI Hazard because it describes a credible potential harm stemming from the development and use of AI systems, but no realized harm or incident is reported. The article is forward-looking and advisory in nature, focusing on plausible future impacts rather than actual incidents or ongoing harm. Therefore, it is best classified as an AI Hazard.