Is AI Becoming the New “Fake News” Excuse?

For years, “fake news” was the phrase people reached for when they wanted to discredit stories they didn’t like. It was short, powerful, and effective at casting doubt on inconvenient facts. But as artificial intelligence has become more mainstream, a new excuse is taking its place: blame the AI. Politicians, business leaders, celebrities, and even media organizations are now increasingly attributing controversy or criticism to artificial intelligence—whether or not it played any role.

For professionals navigating this blurred information landscape, gaining literacy in how AI both creates and combats misinformation is essential. An AI certification provides a practical way to understand these dynamics and to apply AI responsibly, rather than hiding behind it.

Why AI Is the Perfect Scapegoat

AI is unlike previous technologies because of its dual role. It genuinely can generate fake content at scale, but it also offers a convenient excuse to deny authenticity. That combination makes it uniquely powerful as a tool for both misinformation and misdirection.

The liar’s dividend in action
Former U.S. President Donald Trump dismissed a viral video as likely AI-generated, even though his own press team confirmed its authenticity. This illustrates how quickly AI has become a catch-all alibi for embarrassing moments.

Built-in deniability
Unlike traditional media scandals, where accountability often falls on identifiable sources, AI allows individuals to deflect blame to technology. Since AI cannot be sued, punished, or questioned, responsibility evaporates.

Public confusion
Most people don’t fully understand how AI works. That uncertainty makes it easier for powerful figures to claim “it’s AI” and sow doubt—even if the evidence is solid.

This growing trend is troubling for several reasons. On one hand, AI-generated content is a real and rising threat. Deepfakes, synthetic voices, and AI-generated articles have flooded the web, making it harder to distinguish between truth and manipulation. On the other hand, the mere existence of these technologies has created a convenient escape hatch: anyone caught in a scandal can claim the content in question is “probably AI.” Experts call this the liar’s dividend—a term describing how the possibility of AI fakery makes it easier for people to dismiss authentic evidence as false.

Real-World Cases of the AI Excuse

Media Scandals

In September 2025, Business Insider deleted dozens of articles after revelations that some may have been produced by AI and published under fake bylines. While this was partly about AI misuse, critics argue the scandal also showed how quickly media companies can invoke AI as a shield for deeper editorial failures. Was the problem really rogue AI tools—or lax oversight and accountability? The AI excuse blurred the line.

Political Deflections

Around the world, politicians have been quick to use AI as a defense mechanism. Videos of public figures making questionable statements are brushed aside with claims that they were “probably AI.” This tactic buys time, spreads confusion, and undermines public trust in journalism. Even when content is authenticated by experts, the seed of doubt has already been planted.

Disinformation Campaigns

Not all AI blame is false. Russia’s Operation Overload, exposed in 2025, showed how state-linked actors are using consumer-grade AI tools to flood the web with fake images, videos, and articles. In just eight months, the campaign generated more than 500 misleading pieces of content. While this is a real instance of AI misuse, it also highlights how easy it is for anyone to claim their own controversies are “just another AI fake.”

Why This Trend Is Dangerous

The Collapse of Trust

When any embarrassing or damaging content can be dismissed as AI, we enter an era where nothing feels reliable. If a video of a politician taking a bribe surfaces, their denial might be enough: “It’s probably a deepfake.” If a journalist uncovers corporate malpractice, executives might claim the documents were “AI-generated fakes.” Without trust in evidence, accountability crumbles.

Public Fatigue

The constant drumbeat of AI blame risks creating fatigue. Citizens may stop distinguishing between real and fake altogether, assuming that all media is manipulated. This “truth decay” leaves societies vulnerable to propaganda and disinformation.

Incentive for Bad Actors

Ironically, the rise of AI excuses creates more incentive for malicious actors to actually use AI for disinformation. They know the existence of plausible deniability will make it harder to hold anyone accountable.

The Human Factor Still Matters

It’s tempting to think that algorithms alone are driving this shift. But as Nick Clegg, Meta’s former head of global affairs, has pointed out, misinformation spreads because people are drawn to sensational, dramatic, and emotionally charged content. Algorithms amplify this, but human psychology is the engine.

That means blaming AI is not just misleading—it distracts from the root problem. People crave stories that shock or confirm their biases. AI didn’t invent that tendency; it only made it easier to exploit.

AI Excuse vs Reality

Here’s a breakdown of how AI is being used as an excuse versus what is actually happening:

When AI Becomes the New Fake News Shield

Situation	Reality	Why Blame AI?
Viral video dismissed as AI	Verified as authentic	Deflects embarrassment and erodes accountability
Media scandal with fake bylines	Poor editorial oversight	Shifts blame to technology instead of human editors
Disinformation floods online	Genuine AI-generated campaigns	Blurs line between fact and fiction
Public obsession with shocking news	Human psychology drives spread	Lets leaders avoid self-reflection

Combating the AI Excuse

Stronger Verification Tools

Governments and platforms are working on watermarking systems and provenance frameworks to verify authentic media. These tools won’t stop all excuses, but they will make it harder to dismiss evidence without proof.

Media Literacy

Educating the public is critical. People need to understand both the power and the limits of AI. If audiences learn to ask critical questions—rather than taking “it’s AI” at face value—the excuse loses its strength.

Corporate Accountability

Media companies must be transparent about their use of AI. Hiding behind “rogue AI” explanations erodes trust further. Clear disclosure and responsible policies will reduce the temptation to deflect blame.

Human Oversight

AI detection tools work best when paired with human experts. Journalists, fact-checkers, and independent investigators remain essential in verifying claims.

Why Professionals Need to Pay Attention

This isn’t just a political or media issue—it affects every industry. If AI becomes the universal scapegoat, trust in all forms of digital evidence is at risk. Contracts, health records, even financial transactions could be dismissed as “AI-made.”

For data professionals, a Data Science Certification can provide the skills to analyze misinformation systems and understand how AI both creates and detects fake content.

For leaders and strategists, a Marketing and Business Certification can help in building communication strategies that maintain trust and transparency, even in a world saturated with AI excuses.

These pathways, along with other AI certs, ensure professionals are not just reacting to the AI excuse, but actively shaping policies and practices to counter it.

Conclusion

So, is AI becoming the new “fake news” excuse? Absolutely. In a world where AI-generated fakes are real and growing, the temptation to dismiss inconvenient truths as “just AI” is irresistible. Politicians, media outlets, and even corporations are already using the excuse, often to evade accountability.

But while AI may be the latest scapegoat, the deeper issue remains human behavior. People will always be drawn to stories that confirm their fears, anger, or biases. The challenge ahead is to recognize how AI is exploited as both a tool and an excuse—and to build stronger systems of verification, education, and accountability.

The future of trust depends on not letting “AI did it” become a blanket defense. Evidence still matters. Accountability still matters. And with careful governance, AI can be part of the solution rather than just another excuse.