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From AI to greenlash: How is climate disinformation evolving?

From AI to Greenlash: How is Climate Disinformation Evolving? From AI to greenlash - In the evolving landscape of climate disinformation, the narrative has

Desk My Europe
Published July 11, 2026
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Foto : Susan Lopez - poinews.com

From AI to Greenlash: How is Climate Disinformation Evolving?

Poinews.com – In the evolving landscape of climate disinformation, the narrative has shifted from outright denial of global warming to a more nuanced form of resistance known as “greenlash.” This transformation reflects a strategic adaptation by misinformation campaigns, which now focus on undermining the practicality and fairness of climate policies rather than disputing the science itself. With the rise of artificial intelligence and its ability to generate convincing content, the tactics used to spread climate skepticism have become more sophisticated, influencing public perception in subtle yet impactful ways.

The Role of AI in Climate Disinformation

Artificial intelligence has emerged as a powerful tool in the arsenal of climate disinformation. By leveraging AI-generated text and deepfake videos, misinformation can be produced at scale, mimicking credible sources and spreading quickly across platforms. This has allowed false narratives about climate change to gain traction, even as scientific consensus continues to grow. For example, AI can be used to create misleading graphs or manipulate data, making it appear as though climate policies are ineffective or overly burdensome. Such tactics not only confuse the public but also erode trust in scientific institutions, compounding the challenge of climate communication.

From Denial to Greenlash: A Shift in Strategy

Climate disinformation has moved beyond simple denialism, embracing a more targeted approach that focuses on the implementation and consequences of climate action. This phenomenon, termed “greenlash,” captures the growing frustration with environmental policies perceived as costly, inconvenient, or unfair. While the core scientific facts remain undisputed, the debate now centers on the economic and social impacts of the green transition, with critics arguing that it disproportionately affects certain industries or communities. This shift allows disinformation to align with political agendas, creating a divide between climate science and public policy acceptance.

“The disinformation industry has evolved to exploit public sentiment,” noted Ned Mendez, a researcher at 411. “Rather than denying the climate crisis, they now challenge the solutions, framing them as overly aggressive or inefficient. This keeps the conversation alive without directly contradicting the science.”

Eva Morel, from France’s Quota Climat watchdog, emphasized that greenlash often stems from the perception that climate policies are being imposed without sufficient public input. “People argue that climate scientists are overly alarmist, not sufficiently educational, and have chosen the wrong solutions,” Morel explained. “This shifts blame onto experts, even when their advice is grounded in evidence.” The result is a polarized discourse where climate action is questioned not for its scientific basis, but for its societal implications, making it harder for the public to grasp the urgency of the crisis.

Recent events like Europe’s record-breaking heatwave in June 2026 have amplified this trend. Viral posts claimed high temperatures were normal, citing 1970s London heatwaves to suggest climate change is not as severe as portrayed. These claims, while lacking scientific rigor, gained momentum by tapping into public nostalgia and climate fatigue. Similarly, Spain’s severe flooding in October 2024 sparked false narratives, with some blaming the EU’s biodiversity strategies for the disaster. Disinformation also targeted infrastructure projects, such as dams, suggesting they were removed to exacerbate the crisis. Such examples illustrate how climate disinformation is not static but dynamically shaped by current events and political contexts.

As the green transition gains momentum, disinformation campaigns are increasingly using AI to create hyper-targeted content that appeals to specific audiences. For instance, social media algorithms can amplify posts that question the benefits of renewable energy or the necessity of emissions reductions. This has led to a proliferation of misleading claims, such as the idea that climate policies will stifle economic growth or that green technologies are too expensive for widespread adoption. These narratives, though often factually weak, resonate with those skeptical of climate action, perpetuating resistance to necessary changes.

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