Artificial intelligence (AI) is being increasingly adopted in the power grid sector, offering numerous benefits including improved energy operations, increased efficiency, and enhanced emergency response capabilities. However, the widespread use of AI in power grids also presents significant cybersecurity risks. Attacks on critical infrastructure are on the rise, and as energy authorities invest more in AI, they must address these risks to ensure a secure tech transformation. Currently, the use of AI in power grids is still relatively new, but it is quickly gaining traction in the industry. Around 74% of energy companies have implemented or are exploring AI, making it clear that AI will reshape the sector. AI improves power grids by enabling real-time adjustments to allocate power more efficiently, making renewable energy more viable, and facilitating faster emergency responses. However, the risks associated with AI power grids cannot be ignored. AI models require extensive data, posing a risk to privacy and potential breaches.

Attackers could exploit vulnerabilities or install backdoors, leading to widespread disruption and physical damage, as seen in recent high-profile attacks. Additionally, technical glitches in AI systems could impact energy availability. To balance the risks and rewards of AI in power grids, the industry must prioritize cybersecurity. Best practices include data anonymization, secure model training, real-time monitoring, and government regulation. Power companies should collect only relevant data and use anonymization techniques to protect privacy. Access to AI algorithms and training data should be restricted, and encryption and continuous monitoring should be implemented. Government regulation and industry standards are also necessary to ensure the security of AI power grids. It is crucial for the industry to acknowledge the risks and implement thoughtful security measures to reap the benefits of AI in a secure and reliable manner.