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Artificial intelligence (AI) is revolutionizing the cybersecurity threat environment by facilitating new types of intelligent, adaptive, automated, and scalable cyberattacks. Although AI has been extensively used to enhance cybersecurity, the same techniques can be used by malicious actors to automate reconnaissance, craft realistic phishing emails, bypass security controls, fool machine learning models, create smart distributed denial-of-service attacks, target Internet of Things and industrial control systems, and attack complex cloud and multi-cloud environments. This paper explores new methods of AI-driven cyberattacks and discusses the impact of intelligent cyber threats on cyber risk. The paper draws on recent research and industry publications to provide a thematic overview of AI-powered attack techniques, such as social engineering, malware evolution, adversarial machine learning, network attacks, IoT attacks, Industry 4.0 threats, cyber threat intelligence misuse, and multi-cloud attacks. The review demonstrates that intelligent cyber threats are not just faster forms of traditional cyberattacks, but are increasingly adaptive, targeted, evasive, and harder to detect with traditional cybersecurity solutions. The article concludes that to counter intelligent cyber threats, explainable AI, adversarial robustness, human-AI interaction, improved governance, integration of threat intelligence, and vigilance about evolving AI abuse patterns are needed.