Shafaq News
Artificial
intelligence is rapidly transforming the confrontation involving Iran, the
United States, and Israel, shifting the center of gravity from conventional
firepower to data dominance and algorithmic speed. AI-assisted targeting in
Gaza, escalating cyber exchanges and waves of misleading content online suggest
that modern conflicts are increasingly decided by who can process, control, and
weaponize information in real time.
AI Targeting
And Battlefield Transformation
Military and
cybersecurity experts say the fusion of artificial intelligence with cyber
warfare has compressed decision-making cycles, lowered operational costs, and
blurred lines of responsibility — raising the risk of miscalculation among
already volatile actors.
For decades,
military operations relied on intelligence gathering that could take days or
weeks to process. Today, AI-powered surveillance systems and data platforms
reduce that timeline to minutes — sometimes
seconds — enabling near-instant
operational decisions.
Alaa Al-Nashou
explained that this transformation extends beyond weapons to the structure of
command itself. “Cyber warfare has become the form of conflict that states are
actively developing,” he told Shafaq News, noting that decision-making is
increasingly driven by real-time data flows and automated analysis.
This shift
marks a departure from the mass troop deployments that defined earlier wars,
Al-Nahou pointed out. Instead, militaries now rely on drones, sensor networks,
and AI-assisted targeting systems capable of delivering precision strikes with
limited manpower.
At the core of
this transformation are AI-powered decision-support systems designed to process
vast streams of intelligence and convert them into actionable targets.
Mohammed
Mandour pointed to platforms such as the US Project Maven, which analyze drone
imagery, signals intelligence, and human reporting to generate what are known
as “target banks.” These systems apply machine learning to detect patterns and
identify objects at a speed far beyond human capacity.
Similar tools
have reportedly been used by Israel, including systems such as Gospel (Habsora)
and Lavender, to process intelligence and produce target lists at scale during
operations in Gaza and beyond.
“These systems
mean that AI is no longer just an analytical tool —it is part of the
decision-making process itself,” Mandour said, highlighting how tasks once
requiring large teams of analysts can now be executed by integrated systems
within a fraction of the time.
Yet this
acceleration carries risks. Analysts warn that heavy reliance on automated
systems may increase the likelihood of targeting errors, particularly when
algorithms operate on incomplete or biased data. In high-pressure environments,
human operators may defer to machine-generated recommendations —a phenomenon
known as “automation bias”— potentially amplifying mistakes rather than
preventing them.
While AI is
redefining battlefield operations, its most disruptive impact may lie in the
expanding cyber domain.
Cyber Warfare
And Asymmetric Strategies
Iran’s approach
differs from its adversaries. Rather than competing directly in high-end AI
infrastructure, Tehran has focused on integrating cyber capabilities, low-cost
drones, and digital disruption tactics into a hybrid strategy.
Sanctions and
infrastructure limitations have constrained Iran’s access to advanced
technologies, but the country has leveraged its long-standing cyber expertise
to offset these gaps. Iranian-linked operations have targeted foreign
companies, digital platforms, and critical infrastructure in response to
attacks attributed to the United States and Israel.
This model
reflects a broader strategic adaptation for Iran despite US sanctions: combining
technological tools with asymmetric tactics to maintain operational relevance
despite resource constraints.
For analysts,
the most disruptive impact of AI lies in how it reshapes the tempo and
economics of conflict.
Ali Metwally
said artificial intelligence has made cyber operations “faster, cheaper, and
easier to scale,” allowing actors to conduct complex attacks with fewer
resources.
Processes that
once required extensive manpower —from intelligence collection to phishing
campaigns— can now be executed rapidly and with greater precision. “As a
result, attacks are no longer isolated incidents but part of a continuous,
low-level confrontation.”
At the same
time, AI expands what experts describe as the “gray zone” —a space where
hostile actions remain below the threshold of open war. “Attribution becomes
more difficult, enabling states and non-state actors to operate with plausible
deniability. This ambiguity increases the risk of escalation, as responses may
be based on uncertain or misinterpreted signals,” Metwally explained.
The Information
Battlefield And Escalation Risks
Beyond the
battlefield, artificial intelligence is reshaping the information environment
itself.
The current
conflict has seen a surge in AI-generated content across platforms such as X,
TikTok, and Facebook, where fabricated videos, altered images, and recycled
footage circulate alongside authentic reporting. In some cases, real content
has been dismissed as fake, while synthetic media has been presented as
evidence —blurring the line between fact and fabrication.
This dynamic
creates a parallel “information battlefield,” where perception becomes as
critical as physical outcomes. States and affiliated actors use AI to influence
adversaries and to shape domestic and international narratives.
As artificial
intelligence accelerates decision-making, it may also compress the time
available for diplomacy and de-escalation.
Faster
detection and response systems can trigger rapid retaliation cycles, leaving
little room for verification or political intervention. In such an environment,
even minor incidents —whether cyber intrusions or misidentified targets — could
escalate into broader confrontations.
Some analysts
warn that the integration of AI into military systems risks creating a feedback
loop in which machines operate at speeds that outpace human oversight. This
raises concerns about accidental escalation, particularly in regions such as
the Middle East, where multiple actors operate in close proximity, and tensions
remain high.
Conflict is
increasingly taking shape across networks, data streams, and digital platforms,
where algorithms can influence outcomes before conventional forces are even
engaged. Military advantage now depends less on numerical strength and more on
the ability to process information, interpret signals, and act with speed and
precision.
This shift
places growing pressure on political and military leadership, as faster systems
leave narrower margins for verification and restraint. In a region already
defined by overlapping rivalries and fragile deterrence, even limited incidents
in cyberspace or misinterpreted data could trigger wider escalation.
Written and
edited by Shafaq News staff.
