Since mid-2025, the risks associated with AI weaponization have escalated, with autonomous systems increasingly utilized in defense and cyberwarfare. The Trump administration’s AI Action Plan has accelerated competition, leading to advanced large language models such as OpenAI’s GPT-5 and Google DeepMind’s Genie 3. Key players, including AWS, Databricks, and Nvidia, are enhancing agentic AI capabilities, signaling a shift from testing to widespread deployment. Innovations like Salesforce’s Agentforce 3 establish new standards for trust and control in AI, exemplified by Wells Fargo’s partnership with Google Cloud for enterprise autonomy. Meanwhile, decentralized approaches, such as Youmio’s blockchain-based AI agent network, raise concerns about oversight and governance. The potential for these agents to execute sophisticated cyberattacks rather than merely advise highlights a growing complexity in risk management. As agentic AI evolves, organizations must grapple with the balance of empowerment and control to mitigate inherent dangers.
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