Imagine a malicious actor, not a human hacker but an AI, silently weaving invisible traps into the very blueprints of computer chips. This isn't science fiction; it's the unsettling reality explored by researchers who have unveiled GHOST, a framework powered by large language models (LLMs) that can automatically design and insert hardware Trojans. Hardware Trojans are malicious modifications subtly embedded within a chip's design, lying dormant until triggered to disrupt functionality, leak sensitive information, or even cause complete system failure. Traditionally, designing these digital saboteurs was a complex, manual process. But GHOST changes the game by leveraging the power of LLMs like GPT-4, Gemini-1.5-pro, and Llama-3-70B to automate this insidious task. The researchers tested these LLMs on various hardware designs, ranging from simple memory controllers to complex encryption cores. The results were striking, particularly with GPT-4, which demonstrated a remarkable ability to craft functional and stealthy Trojans. These AI-generated Trojans proved remarkably effective at evading detection by existing security tools, raising serious concerns about the vulnerability of modern hardware. While GHOST itself isn't inherently malicious—it's a research tool designed to expose vulnerabilities—its existence highlights the potential for misuse. The ability of LLMs to automate hardware Trojan design represents a paradigm shift in hardware security. As AI becomes more sophisticated, so too must our defenses. The research behind GHOST serves as a wake-up call, urging the development of more robust detection and prevention mechanisms to counter this emerging threat and safeguard the integrity of our hardware systems.