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00:02February 27th, 2026.
00:05Donald Trump's war room.
00:08At 3.38 Eastern time, the president orders a strike on Iran.
00:14As dawn crept up across the Central Command AOR,
00:18the sky surged to life.
00:21More than 100 aircraft launched from land, sea.
00:25Fighters, tankers, airborne early warning, electronic attack.
00:29Bombers from the states and unmanned platforms
00:32forming a single synchronised wave.
00:38The attackers send back positions, images and radio signals.
00:47Which are instantly processed and analysed by artificial intelligence.
00:54Within hours, Iran's supreme leader, Ayatollah Aliyah Khamenei,
00:59is killed by an Israeli strike.
01:04The United States and its partners have launched Operation Epic Fury,
01:10one of the largest, most complex, most overwhelming military offensives
01:16the world has ever seen.
01:18Nobody's seen anything like it.
01:21There's never been a military like we possess.
01:25And frankly, there's nobody even close,
01:28but we are now using that military for good.
01:32The strike against Khamenei was successful because the Israelis knew exactly
01:37where to find him.
01:38In the preceding months, artificial intelligence had also been deployed
01:43to analyse vast troves of satellite, signals and human intelligence.
01:49The strikes against Iran and before that Venezuela are just the latest
01:53and most vivid demonstration of how we're in the midst
01:57of a once-in-a-generation transformation of the technology of war.
02:02is an inflection point.
02:04It's going to change our processes,
02:05it's going to change the way we fight our operating systems.
02:08So you're watching all that play out.
02:10And whoever figures it out first will have an advantage.
02:14This is about winning, right? Winning.
02:17We can't forget our job is to win.
02:20The transformation has been building for decades
02:23as computers became more powerful, giving rise to AI.
02:29And more compact, allowing for swarms of lethal drones.
02:36This is a film about the development of these new war machines
02:39and how they're already being used by Israel, Ukraine and by the United States.
02:47The most important thing is to ensure that we in the West, broadly defined,
02:52have the most powerful versions of this technology and continue to do so.
02:57Will this new technology make war more precise?
03:02Reducing collateral damage and even preventing conflict altogether by deterrence?
03:08Or might it simply make wars cheaper, more frequent and ever more brutal?
03:15When you rely on AI, you need less people to ground you.
03:18And people can tell themselves a beautiful story on the most precise war ever.
03:25And they don't have to speak to anyone that will face them with the fact that
03:28they're just killing families and with no actual solution in the near future.
03:51Bavaria, southern Germany.
03:567,000 US and NATO troops are preparing to act in case Russia invades a NATO country.
04:06They're racing to learn how to use this new technology on the battlefield.
04:111, 2, 9, 9, 0.
04:131, 2, 9, 9, 0.
04:161, 2, 9, 9, 0.
04:23This is the headquarters of an army formation of about 1,000 soldiers.
04:282, 9, 10, 0.
04:29Shouldфф!
04:30Sir, there is no change to your combat power, location or arraignment of our forces.
04:36There it is.
04:36All right, cool.
04:37Let's have a lock type plan to get all our replacements and our vehicles out
04:41to the front.
04:42So, 3…
04:4310 miles away more nato troops acting as an advancing enemy
04:50the big picture of what we're doing here is we're exercising our brigades and our
04:54battalion's ability to do a combined arms fight against an enemy that has near or peer threats
05:00against us we're starting to see the indicators and warnings that the enemy is about to
05:05try to breach break through our lines using assault maneuver fires
05:20you are experiencing gas non-persistent for four-hour duration
05:27we have a chemical attack so i mean hey uh tape i need tape if you look at any of
05:32the exercises
05:33any of the experimentation that we're doing clearly it's leading to make sure that we have
05:37the right capability in particular along the eastern flank
05:47this is the command center for nato and the u.s army any land war against russia will be orchestrated
05:55from here the commanding general is chris donoghue he led much of the technological innovation in the
06:02u.s army and is now in charge of all u.s soldiers in europe it's our job to make
06:08sure that europe
06:10and everyone that's part of europe remains safe remains secure and that we live up to what nato
06:17expects us all to do donoghue was an early adopter of the idea that wars can be won or lost
06:24not only because of the strength of the armies but also because of how much information can be gathered
06:30and analyzed if you can truly harness the right data have the right processes you can really come up
06:37with a distinct advantage but what is the advantage you have to out think out decide out act and then
06:45do that multiple times
06:49what's innovative is that this command center has access to all information from the battlefield
06:54through a single network of computers called maven that supports all u.s and nato operations
07:02on mss put something on there keep people out of hawk hill these screens deliver the picture through
07:11maven smart systems which takes in multiple different streams of data that operators are
07:17looking at and analyzing and giving me the the recommendations or their understanding of what
07:23they've seen on the battlefield i think the first thing with maven smart systems is it gives us the
07:31ability to take classified of all type unclassified and then commercial data and you can aggregate it
07:38all together to help you make all the decisions that you have to in warfare
07:45underpinning maven is artificial intelligence
07:49maven smart systems is a bow command system tool we're starting now to use a lot of different
07:55machine learning or computer vision models to help especially with imagery or videos
08:01for example you can have a computer vision model that's looking specifically for tanks
08:08to do that you have to take thousands of images of tanks and you train the model to look for
08:13those
08:14so what you do is you take a picture of a tank and you draw a box around the tank
08:19and you tell the
08:19computer this is a tank and you do that a thousand times now when you feed an image to that
08:27model it's
08:28going to tell you yes this is a tank or no it's not once the computer has flagged an image
08:33where it
08:34suspects it's detected a tank for instance we don't just action that immediately right that's when we would
08:40take it to our human analysts and say hey can you confirm or deny that this was properly classified
08:45what the AI is doing it's not replacing the human but it's enabling them to do their job faster so
08:51we
08:51can process more and more data and identify targets quicker and solve problems faster five five nine zero seven
09:00it's a bmp stationary over AI is helping glean what's important what's useful what's not useful
09:07so i can say friendly or foe or target or not the enemy has the same capability so i have
09:14to be
09:15quicker i have to be faster otherwise i'm at risk for becoming that target
09:25the revolution in how wars afford has come about not only with the processing of data
09:30but also with small unmanned vehicles drones
09:40so this drone send up this is your eyes in the skies to detect everybody around you
09:46early warning see what's going on on the battlefield
09:50and in addition fpv first person view drones can carry bombs
09:57the fpv drones that's your strike drone that's what's going to take everything out
10:02okay i think they're about to launch
10:10two bmp's like 200 meters for about you can hear them driving
10:14the battlefield makes me move quicker and understand quicker and make decisions quicker
10:22i hit the rear bmp add one to the scoreboard the enemy is currently moving about a click every two
10:31minutes over i just spotted a vehicle in the wood line what's the grid zero one what you see is
10:39now a
10:39completely digitally data-driven unit that had all these new forms of mass drones unmanned systems in
10:47there to make them is able to find the enemy hide from the enemy see the enemy and kill the
10:53enemy
11:02year sergeant cole has noticed that the ukrainians are also putting ai into drones so they can fly
11:09themselves to targets it's just absolutely insane what they're doing the targeting software it'll
11:17detect like that's a person that's a truck the hard part is to program it to actually fly on its
11:22own
11:23and hit something and that comes in with like uh morals and ethics like do we want something to decide
11:29uh on its own to kill something what's your view of that i mean
11:39if it flies completely autonomously and kills stuff i don't necessarily agree with it
11:47completely autonomous drones flying around killing people that's just insanity that's stuff out of
11:52the nightmares i gotta come land it's anyone's guess how these technologies play out in future wars
12:04but clues already exist in israel and ukraine where the technology is already in use
12:17the trajectory of this new war machine begins in about 2016 when the technology of war was limited mostly
12:25to hardware like aircraft carriers artillery and tanks but already there were experiments in data
12:36processing especially in israel a nation that promoted itself as a tech superpower
12:45today our biggest export is technology israeli technology which powers the world's computers cell
12:52phones cars and so much more the future belongs to those who innovate and this is why the future belongs
13:01to countries like israel nearly 50 years after israel's occupation of the west bank and gaza some
13:12palestinians hemmed in by the newly built separation wall turned to lone wolf attacks
13:20sure while ago here the central bus station in jerusalem one terrorist carried out an attack against
13:26a security guard that was stabbed i've checked outside the entrance at the moment the area is still
13:30closed off we've confirmed it was a terrorist attack these attacks were different to the previous waves
13:38as they weren't organized by a militia organization instead single palestinians skirted around the
13:46security controls
13:49you just had lone individuals usually very young these people usually just took a knife or even a
13:55screwdriver to attack soldiers in checkpoints or just suddenly batting people on the street or driving
14:03cars into people the challenge was to try to figure out who's the random person that will wake up today
14:11pick up a knife and stab someone
14:16these witnesses are intelligence analysts who were called up to work for the israeli army
14:23they don't want to reveal their identities and their voices have been digitally altered
14:29their job was to monitor security threats in the west bank
14:33i was recruited to the army in the late 2010s
14:38in the theoretical framework that i worked under every palestinian is a suspect
14:46when i joined the army it was in the midst of a technological transformation of trying to adopt new technologies
14:57israel had a special advantage in tracking the threat it controlled palestinian communications
15:06israel is basically unlimited data because all stellar data of the west bank goes through israeli technological centers
15:18the whole network is basically in israel's hands all phone calls that are being made through the regular
15:25network in the west bank in gaza they would all go to a big database sort of archive
15:38these low north attacks they naturally encouraged the army to think in terms of big data the traditional
15:45approach of just you know trying to infiltrate a terrorist organization this wouldn't really work for
15:52people to just spontaneously decide to attack israelis at first israel tried simple word search to catch lone
16:01wolf militants before they attacked we were really doing the first steps of for example working with
16:09telephone calls on how to identify a relevant telephone call according to keywords
16:17they kind of figured out that many people who'd gone these long wolf things send text message
16:23basically beforehand some kind of declaration of intent certain words whenever they are reported in the
16:32system these words would trigger some sort of alarm but soon they experimented with data patterns
16:41that would predict who might merely be tempted to become a radical you want to create a usable data set
16:49of possible terrorists so
16:51the general method to to do it is specify as many attributes as we can so age gender and
17:02try to find patterns in the data that can be used to squeeze it
17:08thousands of individual palestinians were categorized by dozens of attributes and every attribute was given a value
17:17a computer then calculated how likely each person was to turn violent the initial algorithms created grades as
17:28as to predictability to be terrorists for one to ten
17:35you're a 7.8 terrorist and here's the group of potential terrorists now let's surveil them on a daily basis
17:44to see which of them is actually planning to to do terror
17:51at some point these attacks are reduced significantly
17:57it was pretty efficient i remember that i was almost shocked to see how efficient it was they did
18:05feeling quite emboldened by this
18:06in the last year
18:36Reckon the waves of violence had always ebbed and flowed and they accused Israel
18:44of an egregious invasion of the privacy of millions of Palestinians
18:51to me it was very clear that this total control is precisely what enables the
18:58political process to be frozen clearly if we have that total control then
19:03there's no motivation to change anything we really thought that technology has
19:10solved most of our problems while Israel concentrated more of its intelligence
19:15resources on technology they neglected the role of human sources particularly in
19:21the Gaza Strip this had been an essential part of Israeli intelligence in the past
19:30and it would prove to be a catastrophic error in the lead-up to the Hamas attack of October the
19:367th
19:482023 the next chapter in the story of warfare technology began when Russian tanks rolled into
19:55Ukraine in February 2022
19:58Ladies and gentlemen of Ukraine, today in the morning President Putin
20:03did a special military operation on Donbass. Russia made attacks on our military infrastructure
20:10under Fear for night andemporary flight andimbed in쳐lin
20:14Determining orders other
20:28The odds were stacked against Ukraine who had 250,000 soldiers but stood against an army of about a million
20:56Ukraine cannot live in the war, because we are in Europe in the 21st century.
21:14The challenge that Zelenskyy had in fighting back was working out which Russian targets to hit.
21:23From the command center in Germany, NATO offered assistance in the form of MAVEN smart systems,
21:30though the US military won't talk about what help was given.
21:36But the technology behind MAVEN smart systems was created by a controversial company called Palantir.
21:44Their CEO was and is a maverick skier called Alex Karp.
21:50Here he is, speaking to investors in the early months of the Ukraine war.
21:57Palantir, for example, we are a company to thrive in good times and we thrive in bad times.
22:07We are going to continue supplying the world's most important products to the most interesting, creative and effectual people in
22:13the world.
22:13Palantir's products are on the absolute front line and you see them in the news every day.
22:19Palantir's early investor was the CIA and they have contracts with global national security organizations, including US immigration.
22:27Their next customer was to be Zelenskyy.
22:31The invitation came from the Ukrainians.
22:34So Alex Karp, our chief executive and founder, and I travelled to Kyiv May, June of 2022.
22:44I remember we woke up very early in Sheshoff on the Polish side of the border.
22:50You know, it was dawn at 4am and set off on a very long car journey across that eastern border
22:57of Poland into Ukraine and then eight hours on the road to Kyiv.
23:06We turned up at the appointed place to meet Zelenskyy.
23:10You know, what was extraordinary about that meeting was frankly how lively he was.
23:14He was very funny.
23:15He was cracking jokes.
23:17And I mean, I guess I know he's a comedian, but still that was a very surprising and unexpected thing.
23:22You know, there was a couple of times he had us in stitches.
23:26I think Zelenskyy understood that the biggest challenge the Ukrainians faced was one of mass and numbers.
23:32They were outnumbered by the Russians and also outgunned.
23:38They had more armaments, more industrial capacity than Ukrainians did.
23:42And so the only way of correcting that imbalance was with technology.
23:48And Zelenskyy explained that he wanted us to come and help the Ukrainian war effort
23:52and that he believed that Ukraine was going to be the research and development laboratory for conflict over the coming
24:00years.
24:02So, of course, Alex said yes.
24:04And then it fell to me and others on the Palantir team to turn that into a reality.
24:11We provided them with a software platform called Foundry.
24:14And at its core, it's a data integration platform.
24:19So that's to say it enables our customers to bring together data, information from really any source of any type,
24:27any format, any scale.
24:29Bring that data together, clean it, harmonize it and make it useful.
24:34In military technology terms, in a war like the one that Ukraine faced, there were many, many more targets, many,
24:41many more things to shoot at than they had things to shoot with.
24:45So the big challenge was not precision, it was prioritization.
24:49And that is a data integration problem.
24:52So at the beginning of the war, for example, there was lots of satellite imagery.
24:56And satellite imagery is very good at telling you where something is.
25:00But it's often very hard to tell what the thing is or why the thing might be important.
25:08So you can identify a barn in a field in Ukraine, but you're not going to be able to tell
25:14from the satellite image that that barn might be the command and control center for an important part of Russian
25:21forces.
25:21And for that, you might need to layer on another kind of data, for example, radio frequencies, signals intelligence.
25:28So if you combine satellite imagery and signals intelligence, you can tell where something is and what it is.
25:35And that allows you to then, with the precision munitions that exist today, destroy it with pinpoint accuracy.
25:46In November 2022, nine months after the war began, ChatGPT burst onto the scene, showcasing the power of a new
25:55technology, large language models.
25:59Palantir and the Ukrainians were quick to harness the underlying technical breakthrough.
26:04So the emergence of large language models in 2022 has a dramatic impact on the battlefield.
26:11If you imagine, there might be thousands or even tens of thousands of different data sources that need to be
26:16monitored at any given time on a battlefield.
26:19And analysts traditionally would have had to review each of those data sources individually and manually.
26:28Large language models, as we all know, can synthesize information very quickly and can draw out important inferences, links or
26:37key points, depending on what you're looking for.
26:40And I think that did play a critical role in those early phases of the war.
26:45Isn't there something difficult about running a company that's speeding up the process of killing people?
26:51Deeply morally complex, and it's something that we wrestle with every day.
26:54But ultimately, I think ensuring that our armed forces have the most effective technology is actually the best way of
27:02preserving peace and therefore saving lives.
27:10But AI wasn't the only technology to take a huge leap forward in Ukraine.
27:17Also fast-tracked was the development of unmanned vehicles.
27:21Two Ukrainian soldiers describe how drones have transformed the battlefield.
27:36They may have started as tools of surveillance, but soon became deadly weapons.
27:49Air Force Base
27:50This is an FPV drone already used to reinvent the plane on the screen.
27:53Well, it's an FPV drone, but with a skid.
27:54It's also working like a bomber.
27:57We have a turn camera and skid.
28:03We throw through here about the bullet is released.
28:11By 2024, each side had more than a million drones.
28:51With a range of up to 30 kilometers, they transformed the front line.
28:57So, the war has changed in terms of drones.
29:01Now, the technique is almost not coming to the front line.
29:07The one who comes to the front line is usually very fast.
29:11Our lines are very strong.
29:15It's because almost any drone gets to the front positions.
29:23Avtomat! Avtomat!
29:26Ukraine demonstrated that the fundamental character of war has changed,
29:31with drones killing hundreds of thousands of soldiers.
29:38Because now, in the middle of every 3-5 minutes,
29:45on the front line lies at least one drone.
29:50It's a feeling when they are constantly waiting for you.
29:54It's a moral pressure.
29:55Because you understand,
29:57wherever you are going,
29:58wherever you are going,
29:59wherever you are going,
30:00wherever you are going,
30:00you will find you soon.
30:07We're going.
30:11These new technologies of AI and drones
30:15had allowed a smaller army to hold ground,
30:18albeit in a brutal and intractable fight.
30:21But soon, these technologies would be used in Gaza,
30:26with devastating consequences.
30:43The next development in the new war machine
30:46began when hundreds of Hamas operatives
30:49breached Israel's high-tech border
30:51at dawn on October 7th, 2023.
30:57Social media quickly revealed the brutality of the attack.
31:08.
31:21I was in my apartment,
31:23and to resume,
31:24just me and one of my fat mates.
31:27And I got up in the morning from all the sirens.
31:36Like almost every Israeli,
31:38I have family,
31:39closer to the border with Gaza.
31:42And that these moments,
31:43there were actual fear for their lives.
31:44I didn't know what's going on with them.
31:50For me,
31:51and I guess for many other people,
31:53it was more like from the collective level of,
31:55you know,
31:55if people like me,
31:57that were attacked,
31:58it could have been me.
32:06In a matter of hours,
32:081,200 Israelis were killed.
32:17251 hostages were taken to Gaza.
32:22The Israeli military and political response was immediate.
32:30the military and political response was taken to Gaza.
32:31we are in a war.
32:35Not in the military,
32:36not in the military,
32:38but in the war.
32:40In the war.
32:41In the war.
32:43In the war.
32:43In the war.
32:45In the war.
32:46In the war.
32:53In the war.
32:54The military and political resistance analysts,
32:56who were witness to the tech development around lone wolves,
32:59now returned to duty.
33:02Once you arrive over there to the unit,
33:04I mean,
33:05of course you sit in front of the computer.
33:06It's not as if you're able to stop the attack from there,
33:08but you can feel like,
33:10OK,
33:10OK.
33:11I do my part.
33:13The whole atmosphere was, like, pretty insane, and I don't know, no one really knew what
33:19they were doing, I suppose.
33:21Like, originally they kind of thought they could, like, wipe out from us into, because
33:25it's through, like, the space of, like, a few days, and then we just have, like, the
33:29easy win, supposedly, and I get on with our lives.
33:33In the first few days of the war, the biggest tasks were creating what's called targets.
33:40The creation of targets was a challenge, because the Israeli government said it followed
33:45international law, in which a strike would be prohibited when the expected incidental
33:51loss of civilian life is excessive in relation to the direct military advantage.
33:59There were complaints that there aren't enough targets in the Gaza Strip, even before the
34:03war.
34:04People high up were very content with the amount of targets that were being produced.
34:09They set up a thing called the Taurif factory.
34:13Then they were like, OK, we just need to make Taurifs.
34:17Just finding locations and finding people, basically, to assassinate.
34:34The Israeli Air Force posted multiple videos of their strikes and the numbers of their targets
34:41on their telegram channel.
34:43There was an urge for extreme measures, so the general belief was that human work will
34:51not do to create the number of targets required.
34:55So, the convenient solution was to use non-human ways of creating targets, which is, namely, A.I.
35:13It was already clear that we have to bomb as much as we can.
35:19No realistic amount of humans could do this job in this amount of time, then, naturally, they turned to machines.
35:28Computers created lists of locations and people that were passed to target rooms.
35:35There, other soldiers checked the targets were correct, assessed the collateral damage.
35:41And it's reported that sometimes they had less than a minute to make this decision.
35:48Early on, it was very clear that anything that has any connection with Hamas, and that includes
35:54also people who are not part of the military wing, but also part of the political wings.
35:58Anyone who has a connection to Hamas is a legitimate target.
36:08We were in the Shuggah at the 4th.
36:11At the 4th of the morning, it was about 4.
36:14It was coming to us, and we didn't know why.
36:18We lost my father and my brother.
36:20My brother and my brother and my brother and my daughter.
36:24We lost the two.
36:26I was killed and I was the only one.
36:30How did the Israeli army generate so many targets?
36:38In the preceding years, the Israelis had built targeting systems
36:41that had been derived from the software used to prevent lone wolf attacks.
36:50At some point, we were using an AI algorithm that gets a data set of people
36:56who are approved Hamas members and looks for people with similar attributes
37:01in general data sets of the entire Palestinian population.
37:06There were a number of different systems.
37:08One ascribed a threat probability to any individual between 1 and 100.
37:14Anyone over a threshold of, say, 90, could be targeted.
37:18It's not.
37:28If your requirement is to kill in numbers,
37:32you want to kill an impressive number of people.
37:36AI can give you theoretically an endless number
37:40as long as you're willing to give up on the precision.
37:45Within three weeks, Israel announced it had attacked 11,000 targets.
37:52And the Gaza Health Ministry, controlled by Hamas,
37:57had reported 8,800 dead and 22,000 injured.
38:03It was perfectly clear that we want this space of targeting
38:08with this level of collateral damage.
38:18But in the end, what drove the high number of casualties
38:22was not technology, but political and military choices.
38:27In the previous rounds of violence,
38:29the number of civilian casualties deemed acceptable
38:32by the Israeli military had been much lower.
38:36A different decision was made for Gaza in 2023.
38:44They have this decision at the source of the war
38:46that you can bomb any commerce operative anywhere he is
38:49and take funny people along with him.
38:53Basically assassinating people in the homes
38:55just means that you know that people of the world have killed.
38:59Wives, children.
39:05Itzion Bechiki took the licence to kill a significant number
39:10of civilian casualties along with a target.
39:14Basically, you're right. Yeah, he's there. Boom.
39:19These intelligence analysts accuse Israel
39:22of allowing collateral damage of 20 civilians for any approved target.
39:26but they go further.
39:29There are actual numbers in Israeli military doctrine
39:33for each level of collateral damage which is allowed.
39:38I think they raised the base level
39:40and then for especially important targets, it could be even higher.
39:45So there was permission to kill 300 people as collateral damage.
39:54300 innocent victims for an approved target.
40:07On the 2nd of December 2023,
40:10the Israelis appear to reinforce the claim.
40:14They launch more than 400 strikes
40:17and one on a housing block in Gaza City.
40:21Where they said they'd eliminated a Hamas commander
40:25who'd helped plan the October 7th massacre.
40:28But in doing so, the strike had killed an estimated 300 neighbours.
40:54I remember there was this operation
40:56where other innocent people were killed.
40:58I listened to the call beforehand of the guy saying,
41:01yeah, I'm in my family home
41:03and my whole family are here
41:04and I'm worried that we will get bombed.
41:06And I finally would die.
41:09And then I'm just sitting there at 4 in the morning
41:12waiting for the fucking planes to bomb.
41:16This kind of bureaucratical apparatus
41:18takes the personal responsibility of people
41:23and you don't see the face of people of you killing.
41:27But the weird thing is that I did hear these people's voices,
41:29you know, and I was like,
41:33it's horrible to say this,
41:34but I heard them crying when their relatives were killed.
41:42I think a lot of what technology gives us
41:45is that it blurs the reality for us
41:49to be able to not be completely responsible
41:52for what's going on.
41:55The decision was just to bomb and bomb and bomb.
41:59If you want this space of bombings
42:01and still make them look legal,
42:04let's call it that,
42:06then you need at least this tool
42:08that does the combination of data
42:12to reach the legal threshold
42:15for what is a legitimate target.
42:19In this sense,
42:20this kind of technology is more of an excuse.
42:25All three intelligence analysts
42:28are no longer on duty in the Israeli army.
42:34By January 2026,
42:37an Israeli official briefed newspapers
42:40that they agreed
42:41there had been more than 70,000 deaths
42:43in strikes in the two years of the war.
42:48Organisations, including Amnesty International,
42:51Bet-Selam and parts of the UN,
42:53now accuse Israel of committing war crimes,
42:55by amongst other things,
42:57the disproportionate attacks on civilians
42:59in densely populated areas.
43:01Whilst Israel's strategy was driven by human choices,
43:05the technology enabled the onslaught.
43:09The Israel Defence Force says
43:12the IDF does not use an AI system
43:14that identifies terrorist operatives
43:16or tries to predict whether a person is a terrorist.
43:19Information systems are merely tools for analysts
43:22in the target identification process.
43:25The IDF operates in accordance with international law.
43:28Each strike undergoes an individualised case-by-case assessment
43:32evaluating anticipated military advantage
43:35against expected incidental civilian harm.
43:39Proportionality decisions are made based
43:41on the information available at the time of decision
43:43and not in hindsight.
43:45The IDF has also said
43:47that the 70,000 deaths figure
43:49does not reflect official IDF data.
43:55Whatever the lessons of the tactics in Gaza and Ukraine,
43:59the race for warfare technology shows no sign of slowing down.
44:04In January 2026,
44:06the US Secretary of War, Pete Hegseth,
44:09was fully committed.
44:11Simply put, the United States
44:13must win the strategic competition
44:15for 21st century technological supremacy.
44:19We must ensure that America's military AI dominance,
44:23so that no adversary can exploit that same technology
44:27to hold our national security interests
44:29or our citizens at risk.
44:32America first in every domain.
44:35In short, we will win this race
44:38by becoming an AI-first warfighting force
44:42across all domains.
44:43The rest of the world is following suit.
44:47Western governments have entered
44:48into hefty military contracts
44:50with American-based technology companies
44:53like Palantir, Google, Microsoft and Amazon,
44:56making them ever more dependent
44:58on a few corporations
45:00for the next generation of military technology.
45:03I think it's incredibly important
45:05if we want to maintain our way of life,
45:07if we want to remain advanced first world economies,
45:11if we want to keep our value system,
45:13that we in the West, broadly defined,
45:16have the dominant militaries.
45:18We have to maintain that technological advantage.
45:21And if we are in an arms race,
45:22that means we have to win it.
45:26As drones replace missiles
45:28and computers replace men,
45:30it seems that wars have not become cleaner,
45:32more surgical and quicker.
45:35If anything, the costs in money
45:36and political capital of entering wars has declined.
45:40And they're likely to become more frequent.
45:44So now is the moment for citizens
45:46and their governments to decide whether,
45:49just like for nuclear and biological weapons,
45:51we need international agreements
45:53to control the new warfare.
45:56I got to see, like,
45:58the advantages that AI gives.
46:01A fear is before the rest of the public
46:03and there's zero good value given by that.
46:07It only creates more dust.
46:10It only gives opportunity for deadly wars.
46:13To be fair, I really think it's a mistake.
46:16It just creates more dust and more wars.
46:24To be fair.
46:58unreported world returns with a new series beginning with the women risking their livelihoods
47:03and reputations pushing boundaries on screen in nigeria's prolific but highly conservative
47:08male-dominated film industry that's next friday at 7 30 here on channel 4
47:21you
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