Artificial Intelligence Makes It Easier for Scammers to Create Fake Content

Published on January 06, 2026 | Translated from Spanish
A conceptual image showing a human face being digitally decomposed into data and binary code, symbolizing manipulation through artificial intelligence, with a technological and slightly unsettling style.

Artificial Intelligence Makes It Easier for Scammers to Create Fake Content

Generative artificial intelligence tools have become the preferred instrument for those seeking to deceive the public. It is now possible to fabricate news, official documents, and audiovisual material with astonishing realism. This manipulated content often incorporates the voice or face of well-known people, giving it false authority and multiplying its capacity to cause harm. 🎭

Deepfakes and Impersonations Lower Their Entry Barrier

Previously, convincingly manipulating a video or audio required expensive equipment and deep technical knowledge. Today, public AI platforms allow anyone to generate deepfakes in just minutes. Scammers use this ease to produce messages where a public figure promotes a fake investment or announces a nonexistent product. The threshold for committing these frauds is now extremely low.

Examples of fake content that can be created:
  • Videos where a famous CEO recommends a fraudulent cryptocurrency.
  • Fake audios of politicians announcing invented economic measures.
  • News articles completely generated by AI about health or financial crises.
The era in which "seeing is believing" was a basic rule has ended. Now we must learn to doubt even what our eyes and ears perceive.

Disinformation Accelerates Its Spread

Once the fraudulent material is created, social networks act as a global megaphone. Their algorithms prioritize posting impactful content but cannot reliably verify if it is authentic. This causes a manipulated video of a world leader or fake news about a bank going bankrupt to spread worldwide in a few hours. The public, trusting the apparent source, shares the information without questioning it, perpetuating the deception.

Factors that amplify the problem:
  • Platform algorithms reward emotional and eye-catching content, whether true or false.
  • The speed of sharing exceeds the capacity for manual verifications.
  • Trust in a famous person's image overrides initial critical thinking.

A Technological Paradox

It is ironic that the same technology we use to produce spectacular visual effects in cinema or assist in creative tasks now serves to build almost perfect lies. This shift erodes general trust in digital media and forces us to develop a new skepticism. Society must adapt and seek tools to detect these frauds, because the capacity to generate convincing falsehoods will only increase. 🔍