When fake news meets oil markets: New threat behind crude price spikes

Could AI hoax trigger next energy crisis? Markets react in seconds, truth arrives late

Last updated:
Jay Hilotin, Senior Assistant Editor
Crude oil prices have spiked amid supply concerns, geopolitical risks, fear, uncertainty and doubt. Today, however, uncertainty can also be manufactured through artificial intelligence and sophisticated digital manipulation.
Crude oil prices have spiked amid supply concerns, geopolitical risks, fear, uncertainty and doubt. Today, however, uncertainty can also be manufactured through artificial intelligence and sophisticated digital manipulation.
Gulf News

Oil markets have long been vulnerable to wars.

Sanctions. Refinery outages. Shipping disruptions.

Increasingly, however, analysts are warning of another threat capable of moving prices within minutes: Misinformation and/or disinformation.

As tensions in the Middle East continue to unsettle energy markets, traders are often forced to make decisions based on fragmented reports, social media posts and breaking headlines before official confirmation becomes available.

In such an environment, a fabricated event does not necessarily need to be true to influence markets. It only needs to appear credible long enough for traders, algorithms and investors to react.

That challenge has prompted growing interest in technologies designed to verify digital information in real time.

Misinformation vs Disinformation: Misinformation is false or inaccurate information—getting the facts wrong. Disinformation is false information which is deliberately intended to mislead —intentionally misstating the facts. (American Psychological Association)

Among the companies entering the field is Hydaway Digital, which has developed a platform intended to determine whether images, videos, audio recordings and online reports are authentic before they influence decisions in financial markets and other sectors.

Why oil markets are especially vulnerable

Oil prices are highly sensitive to disruptions in supply.

Reports of attacks on pipelines, tanker collisions, refinery fires or threats to major shipping routes can send crude prices sharply higher within minutes, even before authorities confirm what has happened.

The recent conflict involving Iran illustrates the challenge.

Markets have reacted rapidly to reports of strikes, infrastructure damage and shipping risks because traders cannot afford to wait for complete information. By the time facts are verified, prices may already have moved.

Historically, uncertainty has been driven by geopolitical events themselves.

Today, however, uncertainty can also be manufactured through artificial intelligence and sophisticated digital manipulation.

The result is a market increasingly exposed not only to real disruptions but also to convincing false ones.

Fake news has moved markets before

Financial markets have repeatedly demonstrated how vulnerable they are to misinformation.

In 2013, hackers gained access to the social media account of the news organisation the Associated Press and falsely reported explosions at the White House that had injured then-US President Barack Obama.

Within minutes, US stock markets briefly lost more than $100 billion in value before recovering once the report was exposed as false.

Oil markets have experienced similar episodes.

Over the years, false reports of attacks on oil facilities, exaggerated claims about disruptions in the Strait of Hormuz and misleading social media posts about tanker incidents have triggered short-term volatility before facts emerged.

In 2022, rumours circulating online about disruptions to Russian energy exports during the Ukraine war periodically fuelled sharp price swings, highlighting how quickly unverified information can influence commodity markets.

More recently, the rise of generative AI has increased concerns that fabricated images and videos could create even more convincing market-moving narratives.

AI misinformation challenge

Recent months have seen a surge in AI-generated content spreading online during major global events.

Among the examples cited by researchers and technology firms are fabricated images of celebrities appearing at events that never occurred, videos falsely presented as footage of military attacks and computer-generated scenes portraying disasters that never happened.

During recent Middle East tensions, several widely shared videos claiming to show missile strikes were later found to be unrelated footage or digitally altered content. Some accumulated millions of views before fact-checkers intervened.

The concern for energy traders is straightforward: if a fabricated video appears to show a successful attack on a major oil facility, pipeline or tanker fleet, markets may react before verification catches up.

Building tools to verify reality

Hydaway Digital says it is attempting to address that problem through its RealityChek platform and DETECT verification product.

According to the company, its system analyses images, videos, audio and text simultaneously, examining technical characteristics such as compression patterns, metadata, audio signatures, frequency analysis and pixel-level inconsistencies.

The company says its models have been trained using millions of labelled examples of authentic and synthetic content, allowing them to identify signs of AI-generated manipulation.

Hydaway Digital also promotes the use of cryptographic verification and blockchain-based authentication to establish the provenance of content at its source.

The goal is to provide users with a rapid assessment of whether material is genuine before decisions are made based upon it.

Millions of fake images generated daily

The emergence of advanced image-generation tools has transformed the misinformation landscape.

Industry estimates suggest that tens of millions of AI-generated images are now created every day, while billions have been produced since generative AI tools became widely available in 2022.

Studies have found that many people still struggle to distinguish authentic images from synthetic ones, raising concerns about the potential impact on politics, business, security and financial markets.

The rapid expansion of AI-generated content has accelerated the spread of misinformation worldwide.

"Never before has misinformation become more mainstream than with the rise of AI-generated content," Hydaway Digital Chief Executive Karl Kottmeier said.

Hydaway's recent acquisition of RealityChek, a deepfake detection platform, brings in a heavyweight with a background spanning tech giants like Check Point and Cisco.

The Vancouver-based GPU provider is betting that the future of computing isn't just about speed — but about authenticity. It’s a bold diversification that could position the company at the critical intersection of AI creation and AI-driven deception.

Why it matters

DETECT is a digital authenticity assessment platform built by Hydaway to combat the explosive rise of AI-generated misinformation.

By combining neural networks with rigorous forensic-level tools, it provides users with rapid media analysis, reports the Globe and Mail.

In an age where artificial intelligence can create realistic videos, images and audio within minutes, the ability to verify information quickly may become as valuable as the information itself.

For oil traders, governments and investors, the next major price shock could originate not from a missile strike or shipping disruption, but from a convincing digital fabrication that spreads faster than the truth.

How DETECT Works

  • Analyses pixel-level inconsistencies and noise patterns.

  • Checks frequency signatures and compression artifacts.

  • Compares media against a massive database of labeled datapoints.

  • Runs on Hydaway's internal GPU-backed computing infrastructure.

Real-World Applications

  • Financial mrkets: Stops fake news (e.g., manipulated images of events or fake corporate statements) from affecting stock and oil prices.

  • Corporate security: Provides real-time fraud detection to secure operational technology, such as energy grids.

  • Enterprise workflows: Assesses the authenticity of media before it is shared, published, or acted upon.

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