AI has irrevocably changed phishing, with cyber scammers being able to capture unprecedented levels of volume and effectiveness by leveraging the technology to refine their techniques and logistics. This is not a new trend, and researchers have actually been predicting this trend since consumer-level artificial intelligence first became widely available as well as tracking its evolution over the course of the past few years. However, the difference is in how much the issue continues to worsen and how much easier it has become for any hacker to phish hundreds to thousands of victims in a matter of hours.
Understanding how AI changed the mechanics of phishing, and why the danger runs deeper than faster email production, is the first step toward adapting your business’s defenses to match the threat as it exists today rather than as it existed a decade ago:
How AI Has Improved Phishing for Cybercriminals
Artificial intelligence has provided several benefits for hackers and cyber scammers, with one of the biggest boons in how efficient it is to phish victims at scale. From helping to refine social engineering to making it easier to go after targets with an unprecedented volume of messages, here are a few of the ways that AI has improved phishing for cybercriminals:
Language and Grammar
For decades, the standard advice for spotting a phishing attack centered on spelling errors, awkward phrasing and grammar that read as though it had been translated from another language by someone unfamiliar with the target’s business context, since that was often exactly what had happened. Generative AI tools have closed that gap by enabling attackers to produce fluent, natively phrased writing on demand, matching the tone and vocabulary that a real coworker, vendor or executive would use without requiring the attacker to possess any skill beyond typing a prompt in their own language. A message that once carried the telltale signs of a scam operation can now read as though it was drafted by someone sitting three desks down, complete with references to a business’s recent projects, a coworker’s name or an ongoing vendor relationship pulled from whatever public information the attacker fed into the model beforehand.
Availability and Speed
Phishing became popular amongst all manner of cybercriminals because it started out as a relatively easy and non-technical method for even amateur hackers to be able to leverage for a better return. Building the infrastructure to phish even one target often meant assembling spoofed email templates, domains and landing pages by hand, a process that demanded at least some technical understanding and a meaningful time investment before a single message went out. AI-assisted phishing-as-a-service (PHaaS) kits have scaled most of that overhead, packaging the resources – including artificial intelligence models that help personalize messaging and interfaces quickly –- into a subscription product that a buyer can access for a modest monthly fee, occasionally as little as the cost of a streaming service, without ever needing to write a line of code or research a target by hand.
Coverage and Volume
The ease and speed which modern phishing is able to capture with artificial intelligence naturally also makes it much, much easier to produce content and target victims at tremendous scale. A single attacker can now generate hundreds or thousands of unique messaging variants across multiple mediums in the time it once took to draft one email, each altered just enough in wording, sender name or formatting to slip past filters built to catch repeated patterns and each still carrying the same personalized quality that used to require individual attention per target. This has changed phishing from a spray-and-pray numbers game, where volume compensated for a low success rate, into something both precise and voluminous, since AI removes the tradeoff that once forced attackers to choose between reaching many targets or taking longer to craft those more personalized messages.
Research and Targeting
A factor that may be easier to overlook – yet drives the trends previously listed – is the research that goes into canvassing targets, and building techniques and messaging needed to fool them. This was once one of the biggest dividing lines between being phished by an amateur hacker or by a sophisticated threat actor, with the latter often being part of a greater network of cybercriminals that could delegate intelligence gathering out. Artificial intelligence now allows even the former to investigate targets, build personalized messaging and mediums, bombard them with attempts and capture their data at scale and in a much faster time frame.
Effectiveness
Multiple studies conducted over time have shown that the rate at which victims click on a link in an AI-generated phishing email versus in one written by a human continues to grow, up to almost five times more likely in 2025 – where once it was a third as likely in 2023. This two-year change reflects the incredible pace at which some artificial intelligence tools continue to evolve and how many users are improving upon their usage, including cybercriminals who have been able to refine the effectiveness of their phishing techniques. The result of this can be seen in just how many people continue to report being unable to tell the difference between a real message and one written by AI.
What Makes AI Phishing So Dangerous
Beyond the immediate increases in numbers, what makes artificial intelligence-powered phishing so especially dangerous is how it has transformed many of the traditional dynamics of cybersecurity at the top layer. From the cybercrime ecosystem that leverages it to the existing defenses most businesses still rely on to stop it, artificial intelligence has enabled attackers to change the nature of what it means to phish a target:
AI Phishing is Cheaper and More Effective Than Humans
Many of the worst cybercrimes in history were perpetuated by groups of like-minded threat actors that formed networks to fill in skill gaps between them. Just as in the business world, hackers can significantly streamline their own overhead and reach through AI, with one attacker taking on the duties that an entire group would have performed prior. The return on these reduced costs is simultaneously astounding as noted previously, proving to be even more effective than relying on humans.
Tools Cannot Detect AI
No matter what any vendor promises, study after study has shown that AI has a difficult – if not impossible – time identifying AI, including when it is being used to scam a target. No cybersecurity tool on its own has proven able to consistently catch every phishing attempt, especially when artificial intelligence is involved, which makes the current pace of its evolution even more concerning as many businesses still rely on a reactive, solution-powered defense.
The Attack Surface Hackers Can Target Has Grown
While it is a trend that was worsening before AI’s growth, the latter has accelerated the challenges of protecting attack surfaces that are continuously expanding the age of overlapping cloud services and networks. With artificial intelligence allowing hackers to scale everything from research to deployment, many are increasing the number of channels they use to phish targets as well as those they use to gather enough information to personalize their methods and messaging.
Security Training Has Not Kept Up with AI
Most business-level security awareness programs are still built around spotting poor grammar, obvious spelling mistakes and other language-based tells, teaching employees to watch for the most basic of warning signs. AI has changed this completely, as evidenced by the data shared previously, yet most cybersecurity training standards have still not caught to this change in dynamics.
Phishing Technology Will Continue to Improve
If all of the information collected here tells any kind of story, it is one where the pace of the problem continues to speed up at a rapid rate. Phishing operations were already becoming more organized and refined before the advent of artificial intelligence, yet now the technology has allowed those threat actor groups to magnify their capabilities exponentially. As agentic AI evolves, cyber scammer swill only be able to improve the scale at which they can trick thousands upon thousands of targets effectively.
Improve Your Phishing Detection with SWK Technologies
The pace at which phishing continues to change makes it difficult for any business to keep pace using outdated training materials or detection tools built for an earlier generation of threats. SWK Technologies will help you identify and shore up the gaps in your defenses that attackers can exploit, while ensuring that your employees are prepared for the new age of phishing techniques being used by hackers.
Contact SWK here to learn more about how we can help your business stay ahead of AI-driven phishing threats and harden your defenses against the cyber threats of today.