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OPINION — Iran is the right place to start. Not because it is the most sophisticated adversary in disinformation—but because it is the most instructive. It has built a working infrastructure. It is using it in a live conflict. And it is showing us exactly what AI will make possible over the next five years.
This is not a future problem. The architecture is already under construction.
Within hours of the February 28, 2026 U.S.-Israeli strikes, AI-generated images of a burning USS Abraham Lincoln were circulating on Telegram and X—reaching millions of views before CENTCOM had drafted its first denial. Prime Minister Netanyahu was forced to post live video of his own hands to prove he was alive. AI-manipulated satellite imagery triggered a Pentagon response. The system moved faster than any government could react.
The goal is never to make people believe the lie. The goal is to make them uncertain enough about the truth that they question everything.
You cannot deter an adversary whose population believes you are losing. You cannot sustain a coalition when allied publics believe the conflict is a Western atrocity. Cognitive security is the war within the war.
What Iran Does Well Today
Five capabilities define Iran’s current playbook.
Speed. Iran wins the first news cycle. Producing a convincing false image takes minutes; verifying and rebutting it takes days. They don’t need to win the fact-check—only the first 24 hours.
Encryption. Fabricated battle footage seeded into WhatsApp and Telegram bypasses platform moderation entirely. These are primary news sources in the regions Iran targets—and they are effectively uncontested.
Proxy deniability. Networks like Houthi media ecosystems publish aligned narratives with no visible link to Tehran. Strategic impact, no attribution.
Narrative proxies. Iran amplifies existing frames—Palestinian solidarity, anti-Western sentiment—embedding its messaging inside movements it did not create.
The liar’s dividend. Once synthetic content floods the environment, all content becomes suspect—including the truth.
An easy way to remember Iran’s approach is to think of it as SPEAR: Speed (first-mover advantage), Proxies (deniability through networks), Encryption (closed-channel distribution), Amplification (narrative piggybacking), Relativism (liar’s dividend / truth erosion)
What AI Changes are Ahead
What comes next is not an evolution of this model. It is a step-change.
Agentic deepfake pipelines will compress production cycles to minutes, allowing synthetic battle footage to appear before real events are confirmed. Fact-checking becomes structurally irrelevant.
Voice cloning at WhatsApp scale will enable fabricated battlefield admissions or casualty reports—delivered in the voice of trusted leaders and distributed through personal networks where no platform intervention is possible.
AI-built persona networks will maintain credible, year-long digital histories before activation, eliminating the detection signals platforms rely on today.
Blockchain-hosted content will make disinformation permanent and immune to takedown. Domain seizures become obsolete.
Personalized deepfakes will target individuals directly—delivered in local dialects, referencing familiar places, increasing believability beyond broadcast media.
LLM-driven agents will build real relationships online, embedding influence within communities rather than broadcasting at them.
AI-generated media ecosystems will produce entire news infrastructures—sites, journalists, commentary—at global scale and near-zero cost.
Narrative flooding at scale will generate thousands of conflicting explanations simultaneously, overwhelming audiences and collapsing shared reality.
Precision-targeted persuasion will tailor messaging to specific identities, beliefs, and behaviors with unprecedented effectiveness.
Self-optimizing amplification systems will continuously refine timing, targeting, and distribution—turning disinformation into a persistent, learning system rather than a campaign.
The Strategic Picture
We are moving toward a world where detection is nearly impossible in the early stages, narrative creation collapses from hours to minutes, scale expands from thousands to millions simultaneously (and becomes more precise) and cost of entry falls to near zero.
Small, under-resourced actors will have the ability to shape global perception on a continual basis. No limits.
The future of AI-driven innovation also has a model for us to remember.
Think of AIMS - Automation (agentic systems), Individualization (personalized deepfakes),
Multiplication (scale, narrative flooding, media generation), Self-optimization (learning systems, amplification)
We know where to focus. We know what to do. In fact, much of the innovation is being built in our own ecosystem.
The requirement, however, is constant innovation: a perpetual red-team mindset—testing, adapting, and outpacing adversaries who are already compressing time, expanding scale, and targeting the world’s cognitive infrastructure.
This is not a media problem. It is a battlespace. One we are prepared to excel in.
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