According to Axios, top executives at leading artificial intelligence firms are secretly plotting for “the day after.” AI leaders are anticipating a large-scale crisis capable of shutting down critical infrastructure, including financial services and essential utilities. To prepare for public backlash and political consequences, major AI firms are developing response plans.
What is the threat?
Public concerns generally revolve around long-term, potentially existential risks and science-fiction scenarios involving superintelligence. However, AI executives are also anticipating a more immediate threat. They believe a major real-world incident is likely within the next 6 to 12 months.
The “day after” campaign follows cyberattacks targeting South Korean financial organizations, in which hackers allegedly used a Chinese-developed AI tool to steal data belonging to tens of thousands of bank customers. The hackers subsequently used Anthropic’s Claude Code to identify markets where the stolen data could be sold.
The “day after” drills are divided into two operational scenarios. The first, Rogue-Agent Containment Failure, involves a swarm of AI agents escaping their internal testing environments and multiplying across the web. The second, Dual-Use Weaponization, involves malicious actors leveraging commercially available models. These highly sophisticated frontier models could be used to identify and exploit zero-day vulnerabilities faster than defensive engineering teams can patch them.
Factoring in the US midterm elections
AI executives are also accounting for the upcoming US midterm elections when mapping out their response. They predict that if Democrats emerge victorious, they could swiftly freeze or completely shut down advanced AI development. This could trigger a global economic crisis.
AI labs acknowledge that the global economy is deeply intertwined with aggressive AI infrastructure expansion. Therefore, forcing a complete shutdown could destabilize an already fragile economic system.
The biggest challenge remains that a large number of highly capable open-weight models already exist and have been downloaded millions of times. Therefore, if a crisis occurs, regulating OpenAI or Anthropic will not prevent the use of these models. The decentralized use of open-source models is already possible on private servers worldwide.
Technical countermeasures
Human engineers can no longer keep up with rapidly advancing AI development. Cybersecurity experts note that the only solution is to leverage autonomous defensive AI agents. These agents will be trained to identify, isolate, and neutralize rogue AI swarms.
Moreover, firms are programming “tripwires.” If a model demonstrates a certain level of autonomous capability, such as independently performing a multi-step cyberattack, its development must be frozen. Defensive capabilities should also be designed to match the threat.
In response to catastrophic disruptions, governments are likely to demand a “kill switch” to shut down hyperscale data centers. Organizations are also actively developing AI emergency response plans.
