Four Corners - Season Episode 21 -Click to Kill: The AI War Machine engsub fullepisode🧲⚡️🔺 Secret Engagement

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00:00This program contains graphic images of victims of war.

00:20February 27th, 2026.

00:24Donald Trump's war room.

00:26At 3.38 Eastern time, the president orders a strike on Iran.

00:32As dawn crept up across the Central Command AOR, the sky surged to light.

00:39More than 100 aircraft launched from land, sea, fighters, tankers, airborne early warning, electronic attack, bombers from the states and

00:50unmanned platforms forming a single synchronized wave.

00:56The attackers send back positions, images and radio signals.

01:05Which are instantly processed and analyzed by artificial intelligence.

01:13Within hours, Iran's supreme leader, Ayatollah Aliyah Khamenei, is killed by an Israeli strike.

01:23The United States and its partners have launched Operation Epic Fury, one of the largest, most complex, most overwhelming military

01:34offensives the world has ever seen.

01:37Nobody's seen anything like it.

01:40There's never been a military like we possess and, frankly, there's nobody even close, but we are now using that

01:48military for good.

01:51The strike against Khamenei was successful because the Israelis knew exactly where to find him.

01:57In the preceding months, artificial intelligence had also been deployed to analyze vast troves of satellite, signals and human intelligence.

02:07The strikes against Iran and, before that, Venezuela, are just the latest and most vivid demonstration of how we're in

02:15the midst of a once-in-a-generation transformation of the technology of war.

02:21It is an inflection point. It's going to change our processes. It's going to change the way we fight our

02:25operating systems.

02:26So you're watching all that play out. And whoever figures it out first will have an advantage. This is about

02:33winning, right? Winning. We can't forget our job is to win.

02:39The transformation has been building for decades as computers became more powerful, giving rise to AI and more compact, allowing

02:49for swarms of lethal drones.

02:54This is a film about the development of these new war machines and how they're already being used by Israel,

03:02Ukraine and by the United States.

03:06Will this new technology make war more precise? Reducing collateral damage and even preventing conflict altogether by deterrence?

03:16Or might it simply make wars cheaper, more frequent and ever more brutal?

03:23When you rely on AI, you need less people to ground you. And people can tell themselves a beautiful story

03:30on the most precise war ever.

03:33And they don't have to speak to anyone that will efface them with the fact that they're just killing families

03:38and with no actual solution in the near future.

03:59Bavaria, southern Germany.

04:047,000 US and NATO troops are preparing to act in case Russia invades a NATO country.

04:14They're racing to learn how to use this new technology on the battlefield.

04:201, 2, 9, 9, 0.

04:221, 2, 9, 9, 0.

04:231, 1, 2, 10, 0.

04:231, 3, 9, 0.

04:261, 2, 9, 0.

04:261, 1, 12, 11, 0.

04:271, 1, 1, 2, 3, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1.

04:31This is the headquarters of an army formation of about a thousand soldiers.

04:38Sir, there's no change to combat power, location, or arraignment of our forces.

04:44There it is.

04:45All right, cool.

04:45Let's have a lock-type plan to get all our replacements and our vehicles out to the front.

04:50So, three...

04:51Ten miles away, more NATO troops acting as an advancing enemy.

04:58The big picture of what we're doing here is we're exercising our brigades and our battalion's ability

05:03to do a combined arms fight against an enemy that has near or peer threats against us.

05:10We're starting to see the indicators and warnings that the enemy is about to try to breach,

05:15break through our lines using assault maneuver fires.

05:28You are experiencing gas, non-persistent for four-hour duration.

05:33If you look at any of the exercises, any of the experimentation that we're doing,

05:38clearly it's leading to make sure that we have the right capability,

05:41in particular along the eastern flank.

05:49This is the command center for NATO and the US Army.

05:53Any land war against Russia will be orchestrated from here.

05:58The commanding general is Chris Donoghue.

06:01He led much of the technological innovation in the US Army and is now in charge of all US soldiers

06:07in Europe.

06:09It's our job to make sure that Europe and everyone that's part of Europe remains safe,

06:16remains secure, and that we live up to what NATO expects us all to do.

06:21Donoghue was an early adopter of the idea that wars can be won or lost not only because of the

06:27strength of the armies,

06:28but also because of how much information can be gathered and analyzed.

06:33If you can truly harness the right data, have the right processes,

06:38you can really come up with a distinct advantage.

06:40And what is that advantage?

06:42You have to out-think, out-decide, out-act, and then do that multiple times.

06:51What's innovative is that this command center has access to all information from the battlefield

06:56through a single network of computers called MAVEN that supports all US and NATO operations.

07:03These screens deliver the picture through MAVEN smart systems,

07:08which takes in multiple different streams of data that operators are looking at and analyzing

07:14and giving me the recommendations or their understanding of what they've seen on the battlefield.

07:21I think the first thing with MAVEN smart systems is it gives us the ability to take classified of all

07:28type,

07:29unclassified, and then commercial data,

07:32and you can aggregate it all together to help you make all the decisions that you have to in warfare.

07:40Underpinning MAVEN is artificial intelligence.

07:44MAVEN smart systems is a battle command system tool.

07:48We're starting now to use a lot of different machine learning or computer vision models to help,

07:53especially with imagery or videos.

07:56For example, you can have a computer vision model that's looking specifically for tanks.

08:03To do that, you have to take thousands of images of tanks and you train the model to look for

08:08those.

08:09So what you do is you take a picture of a tank and you draw a box around the tank

08:14and you tell the computer,

08:15this is a tank, and you do that a thousand times.

08:19Now, when you feed an image to that model, it's going to tell you, yes, this is a tank or

08:25no, it's not.

08:26Once the computer has flagged an image where it suspects it's detected a tank, for instance,

08:33we don't just action that immediately, right?

08:35That's when we would take it to our human analysts and say,

08:37hey, can you confirm or deny that this was properly classified?

08:41What the AI is doing, it's not replacing the human, but it's enabling them to do their job faster

08:46so we can process more and more data and identify targets quicker and solve problems faster.

08:52Five, five, nine, zero, seven.

08:55It's a BMP stationary, over.

08:57AI is helping glean what's important, what's useful, what's not useful,

09:02so I can, say, friendly or foe, or target or not.

09:07The enemy has the same capability, so I have to be quicker, I have to be faster,

09:12otherwise I'm at risk for becoming that target.

09:20The revolution in how wars are ford has come about not only with the processing of data,

09:26but also with small unmanned vehicles, drones.

09:36So this drone, you send up, this is your eyes in the sky,

09:40to detect everybody around you, early warning,

09:42to see what's going on, on the battlefield.

09:46And in addition, FPV, first-person view drones, can carry bombs.

09:52The FPV drones, that's your strike drone, that's what's going to take everything out.

09:57Okay, I think they're about to launch.

10:05Two BMPs, like, 200 meters for a month.

10:08You can hear them driving.

10:09The battlefield makes me move quicker, and understand quicker, and make decisions quicker.

10:17I hit the rear BMP.

10:20Add one to the scoreboard.

10:22The enemy's currently moving about a click every two minutes over.

10:28I just spotted a vehicle in the wood line.

10:31What's the grid?

10:32Zero one.

10:32What you see is now a completely digitally data-driven unit

10:37that had all these new forms of mass, drones, unmanned systems,

10:42in there to make them as able to find the enemy,

10:46hide from the enemy, see the enemy, and kill the enemy.

10:49Artillery, hang them.

10:57This year, Sergeant Cole has noticed that the Ukrainians are also putting AI into drones,

11:03so they can fly themselves to targets.

11:07It's just absolutely insane what they're doing.

11:10The targeting software, it'll detect, like, that's a person, that's a truck.

11:14The hard part is to program it to actually fly on its own and then hit something.

11:19You know, that comes in with, like, morals and ethics.

11:23Like, do we want something to decide on its own to kill something?

11:28What's your view of that?

11:30I mean...

11:34If it flies completely autonomously and kills stuff,

11:38I don't necessarily agree with it.

11:42Completely autonomous drones flying around, killing people, that's just insanity.

11:47That's stuff out of nightmares.

11:50All right, I've got to come land.

11:53All right, I've got to go ahead.

11:54It's anyone's guess how these technologies play out in future wars.

11:59But clues already exist in Israel and Ukraine,

12:03where the technology is already in use.

12:12The trajectory of this new war machine begins in about 2016,

12:17when the technology of war was limited mostly to hardware,

12:22like aircraft carriers,

12:25artillery and tanks.

12:28But already there were experiments in data processing,

12:33especially in Israel,

12:35a nation that promoted itself as a tech superpower.

12:40Today, our biggest export is technology.

12:44Israeli technology, which powers the world's computers,

12:47cell phones, cars and so much more.

12:51The future belongs to those who innovate.

12:54And this is why the future belongs to countries like Israel.

13:01Nearly 50 years after Israel's occupation of the West Bank and Gaza,

13:06some Palestinians, hemmed in by the newly built separation wall,

13:11turned to lone wolf attacks.

13:15A short while ago here at the central bus station in Jerusalem,

13:19one terrorist carried out an attack against a security guard that was stabbed.

13:23I've checked outside the entrance.

13:24At the moment, the area is still closed off.

13:26We've confirmed it was a terrorist attack.

13:29These attacks were different to the previous waves,

13:33as they weren't organised by a militia organisation.

13:37Instead, single Palestinians skirted round the security controls.

13:45You just had lone individuals, usually very young.

13:48These people usually just took a knife or even a screwdriver

13:51to attack soldiers in checkpoints

13:53or just suddenly batting people on the street

13:57or driving cars into people.

14:01The challenge was to try to figure out

14:03who's the random person that will wake up today,

14:06pick up a knife and stab someone.

14:11These witnesses are intelligence analysts

14:14who were called up to work for the Israeli army.

14:18They don't want to reveal their identities

14:20and their voices have been digitally altered.

14:24Their job was to monitor security threats in the West Bank.

14:28I was recruited to the army in the late 2010s.

14:33In the theoretical framework that I worked under,

14:37every Palestinian is a suspect.

14:41When I joined the army, it was in the midst

14:44of a technological transformation

14:47of trying to adopt new technologies.

14:52Israel had a special advantage in tracking the threat.

14:56It controlled Palestinian communications.

15:00Israel has basically unlimited data

15:04because all stellar data of the West Bank

15:08goes through Israeli technological centres.

15:12The whole network is basically in Israel's hands.

15:17All phone calls that are being made

15:20through the regular network in the West Bank and Gaza.

15:23They would all go to a big data base, sort of archive.

15:33These low-North attacks, they naturally encourage the army

15:37to think in terms of big data.

15:40The traditional approach of just, you know,

15:42trying to infiltrate a terrorist organisation.

15:45This wouldn't really work for people

15:47to just spontaneously decide to attack Israelis.

15:52At first, Israel tried simple word search

15:55to catch lone-wolf militants before they attacked.

16:00We were really doing the first steps

16:02of, for example, working with telephone calls

16:05on how to identify a relevant telephone call

16:08according to keywords.

16:12They kind of figured out

16:14that many people who've gone on these long-wolf things

16:16send text messages, basically.

16:19Beforehand, some kind of declaration of intent.

16:24Certain words, whenever there are reporters in the system,

16:28these words would trigger some sort of alarm.

16:33But soon, they experimented with data patterns

16:36that would predict who might merely be tempted

16:39to become a radical.

16:42You want to create a usable data set of possible terrorists.

16:46So the general method to do it

16:49is specify as many attributes as we can.

16:53So age, gender, and try to find patterns in the data

16:59that can be used to squeeze it.

17:03Thousands of individual Palestinians

17:06were categorised by dozens of attributes,

17:09and every attribute was given a value.

17:12A computer then calculated

17:14how likely each person was to turn violent.

17:19The initial algorithms created grades

17:22as to predictability to be terrorists for one to ten.

17:30You're a 7.8 terrorist,

17:33and here's the group of potential terrorists.

17:35Now let's surveil them on a daily basis

17:38to see which of them is actually planning to do terror.

17:46At some point, these attacks are reduced significantly.

17:52It was pretty efficient.

17:55I remember that I was almost shocked

17:57to see how efficient it was.

17:59They did feeling quite emboldened by this.

18:03But in the last year,

18:06we were able to reach out to 400 potential attacks.

18:11It's a military activity.

18:13It's a military activity

18:14that focuses on the greatest intelligence,

18:17and the greatest strategies.

18:22Although Israel's military leadership was convinced

18:26that the decline in attacks

18:28was due to prediction technology,

18:30human rights groups reckoned the waves of violence

18:34had always ebbed and flowed.

18:37And they accused Israel of an egregious invasion

18:41of the privacy of millions of Palestinians.

18:47To me, it was very clear that this total control

18:50is precisely what enables the political process to be frozen.

18:56Clearly, if we have that total control,

18:58then there's no motivation to change anything.

19:02We really thought that technology has solved most of our problems.

19:07While Israel concentrated more of its intelligence resources

19:11on technology, they neglected the role of human sources,

19:15particularly in the Gaza Strip.

19:20This had been an essential part of Israeli intelligence in the past.

19:25And it would prove to be a catastrophic error

19:28in the lead-up to the Hamas attack of October the 7th, 2023.

19:33Hello, my goodness! Hello!

19:36Hello!

19:43The next chapter in the story of warfare technology began

19:48when Russian tanks rolled into Ukraine in February 2022.

20:14The odds were stacked against Ukraine, who had 250,000 soldiers,

20:19but stood against an army of about a million.

20:25The challenge that Zelenskyy had in fighting back

20:28was working out which Russian targets to hit.

20:35From the command centre in Germany,

20:37NATO offered assistance in the form of Maven smart systems,

20:42though the US military won't talk about what help was given.

20:47But the technology behind Maven smart systems

20:50was created by a controversial company called Palantir.

20:55Their CEO was and is a maverick skier called Alex Karp.

21:01Welcome to our...

21:03Here he is, speaking to investors,

21:06in the early months of the Ukraine war.

21:09Palantir, for example,

21:10we are a company to thrive in good times

21:15and we thrive in bad times.

21:18We are going to continue supplying the world's most important products

21:21to the most interesting, creative and effectual people in the world.

21:25Palantir's products are on the absolute front line

21:27and you see them in the news every day.

21:30Palantir's early investor was the CIA

21:33and they have contracts with global national security organisations,

21:37including US immigration.

21:39Their next customer was to be Zelenskyy.

21:43The invitation came from the Ukrainians.

21:45So Alex Karp, chief executive and founder,

21:49and I travelled to Kyiv May, June of 2022.

21:57We turned up at the appointed place to meet Zelenskyy.

22:02I think Zelenskyy understood that the biggest challenge the Ukrainians faced

22:06was one of mass and numbers.

22:08They were outnumbered by the Russians and also outgunned.

22:14They had more armaments, more industrial capacity than Ukrainians did.

22:18And so the only way of correcting that imbalance was with technology.

22:24And Zelenskyy explained that he wanted us to come and help the Ukrainian war effort

22:28and that he believed that Ukraine was going to be the research

22:33and development laboratory for conflict over the coming years.

22:38So, of course, Alex said yes.

22:40And then it fell to me and others on the Palantir team

22:44to turn that into a reality.

22:47We provided them with a software platform called Foundry.

22:50And at its core, it's a data integration platform.

22:55So that's to say it enables our customers to bring together data, information

23:00from really any source of any type, any format, any scale,

23:05bring that data together, clean it, harmonize it, and make it useful.

23:10In military technology terms, in a war like the one that Ukraine faced,

23:15there were many, many more targets, many, many more things to shoot at

23:19than they had things to shoot with.

23:21So the big challenge was not precision, it was prioritization.

23:26So you can identify a barn in a field in Ukraine,

23:31but you're not going to be able to tell from the satellite image

23:33that that barn might be the command and control center

23:36for an important part of Russian forces.

23:39And for that, you might need to layer on another kind of data.

23:42For example, radio frequencies, signals intelligence.

23:46So if you combine satellite imagery and signals intelligence,

23:50you can tell where something is and what it is.

23:53And that allows you to then, with the precision munitions that exist today,

23:58destroy it with pinpoint accuracy.

24:04In November 2022, nine months after the war began,

24:09ChatGPT burst onto the scene,

24:11showcasing the power of a new technology, large language models.

24:16Palantir and the Ukrainians were quick to harness

24:19the underlying technical breakthrough.

24:22There might be thousands or even tens of thousands

24:25of different data sources that need to be monitored

24:27at any given time on a battlefield.

24:30And analysts traditionally would have had to review

24:33each of those data sources individually and manually.

24:39Large language models, as we all know,

24:41can synthesize information very quickly

24:44and can draw out important inferences, links or key points

24:49depending on what you're looking for.

24:51And I think that did play a critical role

24:53in those early phases of the war.

24:55Isn't there something difficult about running a company

24:58that's speeding up the process of killing people?

25:01Deeply morally complex.

25:03And it's something that we wrestle with every day.

25:06But ultimately, I think ensuring that our armed forces

25:09have the most effective technology is actually the best way

25:13of preserving peace and therefore saving lives.

25:21But AI wasn't the only technology to take a huge leap forward in Ukraine.

25:27Also fast-tracked was the development of unmanned vehicles.

25:32Two Ukrainian soldiers describe how drones have transformed the battlefield.

25:46They may have started as tools of surveillance, but soon became deadly weapons.

26:00It's an FPV drone, but with a skid.

26:04It works like a bomber.

26:08It has a turnaround camera and a skid.

26:14It's almost like these weapons.

26:22By 2024, each side had more than a million drones.

26:27All right, come in.

26:28All right, come in.

26:32All right, come in.

26:33This is for no one of the secret,

26:34that almost 70% of the drone is about a drone.

26:40Yes!

26:43Well, when there is, let's say, a PZRK rocket,

26:49which costs $60,000,

26:53there is a drone, which costs $2,000,

26:56and the impression is, in principle, on the ground.

27:01With a range of up to 30 kilometers,

27:04they transformed the front line.

27:07So, the war is very much changed in terms of drones.

27:12Now, the technique is almost not coming to the front line.

27:18The, which is coming, is usually very fast.

27:22Our lines and our enemy are very much increasing

27:26because almost any drone is getting to the front positions.

27:33Automat! Automat!

27:36Ukraine demonstrated that the fundamental character of war has changed,

27:42with drones killing hundreds of thousands of soldiers.

27:49Because now, in the middle of every 3-5 minutes,

27:56on the front line, there is a minimum of one drone.

28:01It's a feeling when they are constantly waiting for you.

28:05It's a moral pressure.

28:06Because you understand,

28:07if you don't go anywhere,

28:09and if you don't do anything,

28:10they will find you soon or later.

28:22These new technologies of AI and drones

28:25had allowed a smaller army to hold ground,

28:29albeit in a brutal and intractable fight.

28:32But soon, these technologies would be used in Gaza,

28:36with devastating consequences.

28:52The next development in the new war machine

28:55began when hundreds of Hamas operatives

28:57breached Israel's high-tech border

28:59at dawn on October 7th, 2023.

29:05Social media quickly revealed the brutality of the attack.

29:17.

29:29I was in my apartment,

29:32and to resume just me and one of my fat mates.

29:36And I got up in the morning from all the sirens.

29:45Like almost every Israeli,

29:46I have family closer to the border with Gaza.

29:50And at these moments,

29:51there were actual fear for their lives.

29:53I didn't know what's going on with them.

29:59For me, and I guess for many other people,

30:01it was more like from the collected level of,

30:03you know, if people like me that were attacked,

30:06it could have been me.

30:14In a matter of hours,

30:161,200 were killed.

30:25251 hostages were taken to Gaza.

30:30The Israeli military and political response was immediate.

30:39We were in combat.

30:43We were in combat.

30:43Not in the aircraft

30:44or engines.

30:46We were in combat.

30:48Because they have been Hell Ma.

30:53However, ta's not a military ref Didn't have any violence.

31:01We want to combat any life with multiple threats,

31:03a life where the enemy.

31:05development around lone wolves now return to duty once you arrive over there to the unit i mean of

31:12course you sit in front of a computer it's not as if you're able to stop the attack from there

31:16but

31:16you can't feel like okay okay i do my part the whole atmosphere was like pretty insane and i

31:25don't know nobody really knew what they were to me i suppose like originally they kind of thought

31:30they could like wipe out from us in the because it's like the space of like like a few days

31:35and

31:35then we just have like so easy win supposedly and i get on with our lives in the first few

31:42days of

31:42the work the biggest tasks were creating what's called targets the creation of targets was a

31:50challenge because the israeli government said it followed international law in which a strike would

31:56be prohibited when the expected incidental loss of civilian life is excessive in relation to the

32:03direct military advantage there were complaints that there aren't enough targets in the gaza strip

32:11even before the war people high upward very content with the amount of targets that were being produced

32:16they set up this thing called uh the toilet factory then they were like okay we just need to make

32:23a lot of targets just finding locations and finding people basically to assassinate

32:41the israeli air force posted multiple videos of their strikes

32:47and the numbers of their targets on their telegram channel

32:51there was an urge for extreme measures so the general belief was that human work will not do

33:00to create the number of targets required so the convenient solution was to use non-human

33:07ways of creating targets which is namely ai

33:16computers created lists of locations and people that were passed to target rooms

33:23there other soldiers checked the targets were correct assessed the collateral damage

33:29and it's reported that sometimes they had less than a minute to make this decision

33:35uh early on it was likely that uh anything that has any connection with hamas and that includes also

33:42people who are not part of the military wing but also part of the political wings

33:46anyone who has a connection to with hamas is a legitimate target

33:55of the military wing but also part of the israeli army

34:20generate so many targets in the preceding years the Israelis had built targeting

34:26systems that had been derived from the software used to prevent lone wolf

34:31attacks at some point we were using an AI algorithm that gets a data set of

34:41people who are approved Hamas members and looks for people with similar

34:46attributes in general data sets of the entire Palestinian population there were

34:52a number of different systems one ascribed a threat probability to any

34:56individual between one and a hundred anyone over a threshold say 90 could be

35:03targeted

35:14if your requirement is to kill in numbers you want to kill an impressive number of

35:20people AI can give you theoretically an endless number as long as you're willing

35:27to to give up on the on the precision within three weeks Israel announced it

35:34had attacked 11,000 targets and the Gaza Health Ministry controlled by Hamas had

35:42reported 8,800 dead and 22,000 injured it was perfectly clear that we want this

35:52space of targeting with this level of collateral damage

36:04but in the end what drove the high number of casualties was not technology

36:09but political and military choices in the previous rounds of violence the number

36:15of civilian casualties deemed acceptable by the Israeli military had been much lower

36:22a different decision was made for Gaza in 2023 they have this decision at the

36:31source of the wall that you can bomb any commerce operative anywhere he is and take funny people along

36:36with basically assassinating people in the homes just means that you know that people have killed

36:44wives children

36:50it you know basically took the license to kill a significant number of civilian casualties along with a target

36:59basically you're right yeah he's there boom

37:04these intelligence analysts accuse Israel of allowing collateral damage of 20 civilians for any approved target but they go further

37:15there are actual numbers in Israel military doctrine for each level of collateral damage which is allowed I think they

37:24raised the base level and then for especially important targets it could be even higher

37:39on the second of December 2023 the Israelis appear to reinforce the claim they launched more than 400 strikes and

37:50one on a housing block in Gaza City where they said they'd eliminated a Hamas commander who'd helped plan the

37:58October 7th massacre

38:20I remember there was this operation where other innocent people were killed I

38:26I listened to the call beforehand of the guy saying yeah I'm in my family home and my whole family

38:31are here and I'm worried that we will get bombed and I finally would die

38:36and I finally would die and then I'm right just sitting there it's like four in the morning waiting for

38:39like the fucking planes to bomb this kind of bureaucratical apparatus takes like the personal responsibility of people and you

38:51don't see the face of people of you like killing you know but the weird thing is that I did

38:55hear the

38:55people of these people of these people of these people of these people's voices you know and I was like

38:59it's horrible to say this but you know I heard them crying when the relatives were killed

39:09I think a lot of what technology gives us is that it blurs the reality for us to be able

39:16to not be completely responsible for what's going on

39:23the decision was just to bomb and bomb bomb if you want this space of bombings and still make them

39:29look legal let's call it that then you need at least this tool that does the combination of data to

39:40reach the legal threshold for what is a legitimate target

39:46in this sense this is more of an excuse

39:52all three intelligence analysts are no longer on duty in the Israeli army

40:00by January 2026 an Israeli official brief newspapers that they agreed that had been more than 70,000 deaths and

40:08strikes in the two years of the war

40:13organizations including Amnesty International and parts of the UN now accuse Israel of committing war crimes by amongst other things

40:22the disproportionate attacks on civilians in densely populated areas

40:28the Israel defense force says the IDF does not use an AI system that identifies terrorist operatives or tries to

40:36predict whether a person is a terrorist

40:38information systems are merely tools for analysts in the target identification process

40:43the IDF operates in accordance with international law each strike undergoes an individualized case-by-case assessment evaluating anticipated military

40:53advantage against expected incidental civilian harm

40:57proportionality decisions are made based on the information available at the time of decision and not in hindsight

41:03the IDF has also said that the 70,000 deaths figure does not reflect official IDF data

41:14whatever the lessons of the tactics in Gaza and Ukraine

41:18the race for warfare technology shows no sign of slowing down

41:22in January 2026 the US Secretary of War Pete Hegseth was fully committed

41:30simply put the United States must win the strategic competition for 21st century technological supremacy

41:37we must ensure that America's military AI dominance so that no adversary can exploit that same technology

41:45to hold our national security interests or our citizens at risk

41:50America first in every domain

41:54in short we will win this race by becoming an AI first war fighting force across all domains

42:02the rest of the world is following suit

42:05Western governments have entered into hefty military contracts with American based technology companies like Palantir Google Microsoft and Amazon