Artificial intelligence (AI) is transforming the way people work, communicate and solve problems. Unfortunately, cybercriminals are using the same technology to improve their attacks. One of the biggest concerns is phishing, a type of cyberattack that tricks people into revealing passwords, financial information or other sensitive data.
So, how is AI involved in phishing attacks? AI helps attackers create more convincing scams, automate large-scale campaigns and personalize messages that are harder to detect than traditional phishing attempts. Understanding how these attacks work is the first step toward protecting yourself.
Traditional phishing often relies on generic emails filled with spelling mistakes, awkward wording and suspicious links. While these scams still exist, AI has made phishing much more sophisticated.
AI-powered phishing uses machine learning and generative AI tools to create realistic emails, text messages, phone calls and even videos. Instead of sending the same message to thousands of people, attackers can generate personalized content that matches the recipient’s interests, job role or recent activities. As a result, phishing attempts can appear much more legitimate and are more likely to fool unsuspecting users.
Cybercriminals use AI in several ways to make phishing campaigns more effective.
Large language models can generate professional-looking emails in seconds. Attackers can request messages that sound like those of a bank representative, company executive or customer support agent.
Unlike older phishing emails, AI-generated messages are often polished and tailored to the recipient. AI played a role in generating more than 80% of phishing emails in 2025, reducing the effectiveness of relying on poor grammar or awkward wording to spot scams.
AI can analyze publicly available information from company websites, professional networking platforms and social media profiles. Using this information, attackers can create messages that reference your employer, co-workers, recent purchases or personal interests.
These details make phishing emails appear authentic because they contain information that seems familiar. Instead of receiving a generic “Dear Customer” message, you may receive an email that addresses you by name and references your specific role within your organization.
Creating thousands of customized phishing emails manually would require significant time and effort. AI dramatically speeds up this process. Attackers can automatically generate unique messages for different targets while adjusting wording, tone and subject lines.
This allows phishing campaigns to reach far more people without sacrificing personalization. Automation also enables criminals to continuously refine their attacks based on which messages receive the most responses.
Many companies now use chat platforms for internal communication and customer service. AI chatbots can imitate human conversations, making fake support interactions more believable.
An attacker might pose as an IT technician asking you to verify your login credentials or install a software update. Because the conversation feels natural, victims may not immediately recognize the deception.
Generative AI can clone voices using only a short audio sample. Criminals may impersonate executives, family members or co-workers during phone calls.
For example, an employee could receive an urgent call that appears to come from their manager requesting an immediate wire transfer or confidential information. Hearing a familiar voice often increases trust, making these scams especially dangerous.
AI can also create realistic videos that imitate real people. While producing convincing deepfakes requires more resources than creating emails, the technology continues to improve.
Attackers may use fake video messages during virtual meetings or distribute recorded clips that appear to feature trusted individuals. These videos can support phishing attempts by making fraudulent requests seem legitimate.
Phishing websites are designed to closely resemble legitimate login pages, making it difficult to spot the difference at first glance. AI helps attackers create convincing layouts, realistic text and customer support content much more quickly than building these sites manually.
Some fake websites even include AI-powered chatbots that answer questions and guide visitors through the login process. By responding naturally and addressing concerns in real time, these chatbots reduce suspicion while encouraging users to enter sensitive information.
Even sophisticated AI-generated phishing attempts often leave clues. Be cautious if you notice:
If something feels unusual, verify the request using a trusted communication method instead of replying directly.
AI-powered phishing attacks may be more sophisticated, but they still rely on getting you to act without verifying what you’re seeing. Building a few proactive security habits can help you spot suspicious activity before it leads to compromised accounts or stolen information. Beyond checking for urgent requests or suspicious links, you can strengthen your defenses with these practical steps:
Understanding how AI can be used in phishing attacks helps you recognize why modern scams are becoming more convincing. From personalized emails and fake chat conversations to deepfake voice calls and realistic phishing websites, AI gives cybercriminals new ways to gain your trust.
The good news is that the same awareness and security practices that protect against traditional phishing still work. Verifying unexpected requests and using strong authentication can help significantly reduce your chances of becoming a victim as AI-powered phishing continues to evolve.
