AI is making fraud more convincing, but experts say the solution isn't better technology alone,it's keeping humans in the loop. As artificial intelligence reshapes how professionals work, a parallel threat is emerging: cybercriminals are weaponizing the same AI tools to create sophisticated deepfakes, impersonate trusted parties, and launch convincing phishing attacks that even careful observers can miss. The real estate industry, where high-value transactions depend on trust and identity verification, is on the front lines of this challenge.

How Is AI Changing the Nature of Fraud in Real Estate?

The threat landscape has shifted dramatically. Cybercriminals are no longer relying solely on typos and obvious red flags to fool victims. Instead, they're using AI to generate sophisticated deepfake audio and video, craft hyper-personalized phishing messages, and impersonate trusted parties with alarming accuracy. In an industry where a single transaction can involve hundreds of thousands of dollars, the stakes of these attacks are extraordinarily high.

What makes this particularly dangerous is that AI-generated fraud is harder to spot than traditional scams. A deepfake video call with a familiar voice, a phishing email written in someone's exact communication style, or a text message from what appears to be a trusted contact can bypass the skepticism that humans naturally apply to obvious forgeries. The technology has reached a point where it can fool even cautious professionals.

Why Human Expertise Still Matters More Than Ever

Here's the counterintuitive insight: as AI makes fraud more convincing, human judgment becomes more valuable, not less. While AI tools can help professionals streamline administrative tasks and improve efficiency, they cannot replicate the qualities that protect against sophisticated attacks. Human expertise remains essential for verifying identities, recognizing suspicious activity, and protecting sensitive transaction information.

This reflects a broader pattern in AI workforce transformation. Just as self-checkout machines in grocery stores didn't eliminate cashiers because humans were still needed to resolve pricing issues and handle unexpected situations, AI in the workplace is reshaping jobs rather than replacing them. The same principle applies to cybersecurity: technology can assist, but human oversight is irreplaceable.

"As AI adoption grows, so does the importance of AI cybersecurity. Cybercriminals are using AI to create more convincing phishing attempts, impersonate trusted parties and generate sophisticated deepfake audio and video. As these technologies evolve, human oversight remains essential to verify identities, recognize suspicious activity and protect sensitive transaction information," noted Genady Vishnevetsky, Chief Information Security Officer at Stewart.

Genady Vishnevetsky, Chief Information Security Officer at Stewart

Steps to Strengthen AI Cybersecurity in Your Organization

Real estate firms and other industries handling sensitive transactions are beginning to implement layered defenses that combine technology with human judgment. Here are the key approaches experts recommend:

• Identity Verification Protocols: Implement multi-factor verification processes that require human confirmation for high-value transactions, especially those involving wire transfers or sensitive data exchanges.
• Continuous Employee Education: Train staff to recognize AI-generated fraud, including deepfake audio and video, phishing attempts that mimic trusted contacts, and social engineering tactics that exploit AI-generated personalization.
• Transaction Monitoring and Oversight: Maintain human review of unusual transaction patterns, unexpected communication changes, or requests that deviate from normal procedures, even when AI systems flag them as routine.
• Governance and Cybersecurity Integration: Balance AI adoption with strong cybersecurity practices, ensuring that new efficiency tools don't create blind spots in security protocols.

The real estate industry is already experiencing this transformation in meaningful ways. AI tools are helping professionals streamline administrative tasks, organize transaction information, and analyze market data more efficiently. But rather than replacing professionals, these tools are freeing them to focus on the relationship-building and informed decision-making that actually close deals and protect clients.

What's emerging is a partnership model: AI handles routine work, humans handle judgment calls. This division of labor is particularly important in cybersecurity, where the cost of a single mistake can be catastrophic. A professional might use AI to summarize meeting notes or organize documents, but when it comes to verifying that a wire transfer request is legitimate, human skepticism and critical thinking are non-negotiable.

What Does This Mean for the Future of Work?

The narrative around AI and jobs has often focused on replacement, but the real story is more nuanced. According to a 2025 Pew Research Center study, approximately 64 percent of Americans believe AI will lead to fewer jobs over the next 20 years. Yet history suggests a different pattern. When technology automates routine tasks, it typically creates space for humans to focus on higher-value work that requires judgment, creativity, and emotional intelligence.

In the context of cybersecurity, this means that as AI makes fraud more sophisticated, the demand for human expertise in threat detection and response will likely increase. Organizations that embrace AI as a tool while maintaining strong human oversight will be better positioned to protect themselves than those that rely on automation alone.

The future of work isn't a competition between people and artificial intelligence. It's a partnership between human expertise and technological capability. Employers who embrace AI workforce transformation with thoughtful training, governance, and AI cybersecurity will enhance resilience and performance. In an era where deepfakes and AI-generated phishing attacks are becoming routine, that human element isn't just valuable,it's essential.