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Dispatches 2026 04 02 Click to Kill The AI War Machine
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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.
01:22There'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 a thousand soldiers.
04:30Sir, there is no change to 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 to the front.
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 battalion's ability
04:55to do a combined arms fight against an enemy that has near or peer threats against us.
05:02We're starting to see the indicators and warnings that the enemy is about to try to breach,
05:07break 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, hey, I need to take that.
05:31If you look at any of the exercises, any of the experimentation that we're doing,
05:36clearly it's leading to make sure that we have the right capability,
05:39in particular along the eastern flank.
05:47This is the command center for NATO and the US Army.
05:51Any land war against Russia will be orchestrated from here.
05:56The commanding general is Chris Donoghue.
05:59He led much of the technological innovation in the US Army and is now in charge of all US soldiers
06:05in Europe.
06:07It's our job to make sure that Europe and everyone that's part of Europe remains safe,
06:14remains secure and that we live up to what NATO expects us all to do.
06:19Donoghue was an early adopter of the idea that wars can be won or lost not only because of the
06:25strength of the armies,
06:26but also because of how much information can be gathered and analyzed.
06:31If you can truly harness the right data, have the right processes, you can really come up with a distinct
06:38advantage.
06:39And what is that advantage?
06:40You have to out-think, out-decide, out-act, and then do 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 US and NATO operations.
07:03On MSS, put something on there, keep people out of Hawk Hill.
07:09These screens deliver the picture through MAVEN Smart Systems,
07:13which takes in multiple different streams of data that operators are looking at and analyzing
07:19and giving me the recommendations or their understanding of what they've seen on the battlefield.
07:26I think the first thing with MAVEN Smart Systems is it gives us the ability to take classified of all
07:33type,
07:34unclassified, and then commercial data, and you can aggregate it all together
07:38to help you make all the decisions that you have to in warfare.
07:45Underpinning MAVEN is artificial intelligence.
07:49MAVEN Smart Systems is a battle command system tool.
07:52We're starting now to use a lot of different machine learning or computer vision models
07:57to 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 computer, this is a tank, and you do that a thousand times.
08:24Now, when you feed an image to that model, it's going to tell you, yes, this is a tank, or
08:30no, it's not.
08:31Once the computer has flagged an image where it suspects, it's detected a tank, for instance,
08:37we don't just action that immediately, right?
08:40That's when we would take it to our human analysts and say, hey, can you confirm or deny that this
08:44was properly classified?
08:46What the AI is doing, it's not replacing the human, but it's enabling them to do their job faster,
08:51so we can process more and more data, and identify targets quicker, and solve problems faster.
08:57So, 5-5-9-0-7, it's a BMP stationary, over.
09:02AI 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.
09:12The enemy has the same capability, so I have to be quicker, I have to be faster,
09:17otherwise I'm at risk for becoming that target.
09:25The revolution in how wars are forward has come about not only with the processing of data,
09:31but also with small unmanned vehicles, drones.
09:41So this drone, you send up, this is your eyes in the skies to detect everybody around you,
09:46early warning to 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 BMPs, like 200 meters from us, you can hear them driving.
10:14The battlefield makes me move quicker, and understand quicker,
10:18and make decisions quicker.
10:22I hit the rear BMP.
10:25Add one to the scoreboard.
10:27The enemy's currently moving about a click every two minutes over.
10:33I just spotted a vehicle in the wood line.
10:36What's the grid? Zero one.
10:37What you see is now a completely digitally data-driven unit that had all these new forms of mass,
10:45drones, unmanned systems, in there to make them as able to find the enemy,
10:51hide from the enemy, see the enemy, and kill the enemy.
10:54artillery, anything.
11:01This year, Sergeant Cole has noticed that the Ukrainians are also putting AI into drones,
11:08so they can fly themselves to targets.
11:12It's just absolutely insane what they're doing.
11:15The targeting software, it'll detect, like, that's a person, that's a truck.
11:19The hard part is to program it to actually fly on its own and then hit something.
11:24And that comes in with, like, morals and ethics, like, do we want something to decide on its own to
11:31kill something?
11:33What's your view of that?
11:35I 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.
11:52That's stuff out of nightmares.
11:55I've got to come land.
11:58All right, I've got to go ahead.
11:59It's anyone's guess how these technologies play out in future wars.
12:05But 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,
12:23when the technology of war was limited mostly to hardware,
12:27like aircraft carriers,
12:29artillery,
12:30and tanks.
12:33But already there were experiments in data processing.
12:38Especially in Israel,
12:40a nation that promoted itself as a tech superpower.
12:45Today, our biggest export is technology.
12:48Israeli technology which powers the world's computers, cell phones, cars, and so much more.
12:56The future belongs to those who innovate.
12:59And this is why the future belongs to countries like Israel.
13:06Nearly 50 years after Israel's occupation of the West Bank and Gaza,
13:11some Palestinians, hemmed in by the newly built separation wall,
13:16turned to lone wolf attacks.
13:20A short while ago here at the central bus station in Jerusalem,
13:24one terrorist carried out an attack against a security guard that was stabbed.
13:28I've trapped outside the entrance. At the moment the area is still closed off.
13:31We've confirmed it was a terrorist attack.
13:34These attacks were different to the previous waves,
13:38as they weren't organised by a militia organisation.
13:42Instead, single Palestinians skirted round the security controls.
13:50You just had lone individuals, usually very young.
13:53These people usually just took a knife or even a screwdriver
13:56to attack soldiers in checkpoints,
13:59or just suddenly batting people on the street,
14:02or driving cars into people.
14:06The challenge was to try to figure out
14:08who's the random person that will wake up today,
14:11pick up a knife and stab someone.
14:19who are called up to work for the Israeli army.
14:23They don't want to reveal their identities,
14:26and 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,
14:42every Palestinian is a suspect.
14:46When I joined the army,
14:47it was in the midst of a technological transformation,
14:52of trying to adopt new technologies.
14:57Israel had a special advantage in tracking the threat.
15:01It controlled Palestinian communications.
15:05Israel has basically unlimited data,
15:09because all stellar data of the West Bank
15:14goes through Israeli technological centres.
15:18The whole network is basically in Israel's hands.
15:22All phone calls that are being made through the regular network
15:26in the West Bank and Gaza,
15:27they would all go to a big database,
15:32sort of archive.
15:38These low north attacks,
15:40they naturally encourage the army to think in terms of big data.
15:44The traditional approach of just, you know,
15:47trying to infiltrate a terrorist organisation.
15:50This wouldn't really work for people
15:52to just spontaneously decide to attack Israelis.
15:57At first, Israel tried simple word search
16:00to catch lone wolf militants before they attacked.
16:05We were really doing the first steps
16:07of, for example, working with telephone calls
16:10on how to identify a relevant telephone call according to keywords.
16:17They kind of figured out that many people
16:20who'd gone these long wolf things
16:21send a text message, basically.
16:24Beforehand, some kind of declaration of intent.
16:29Certain words, whenever they are reported in the system,
16:33these words would trigger some sort of alarm.
16:38But soon they experimented with data patterns
16:41that would predict who might merely be tempted to become a radical.
16:46We want to create a usable data set of possible terrorists.
16:50So the general method to do it is specify as many attributes as we can.
16:58So age, gender, and try to find patterns in the data that can be used to squeeze it.
17:08Thousands of individual Palestinians were categorised by dozens of attributes,
17:14and every attribute was given a value.
17:17A computer then calculated how likely each person was to turn violent.
17:24The initial algorithms created grades as to predictability to be terrorists for one to ten.
17:35You're a 7.8 terrorist, and here's the group of potential terrorists.
17:40Now let's surveil them on a daily basis to see which of them is actually planning to do terror.
17:51At some point, these attacks are reduced significantly.
17:57It was pretty efficient.
18:00I remember that I was almost shocked to see how efficient it was.
18:04They did feeling quite emboldened by this.
18:08But in the last year,
18:11we went to the top of 400 potential attacks.
18:16It's a military activity.
18:18It's a military activity that focuses on the biggest intelligence,
18:22and the biggest strategies.
18:27Although Israel's military leadership was convinced
18:31that the decline in attacks was due to prediction technology,
18:35human rights groups reckoned the waves of violence had always ebbed and flowed.
18:42And they accused Israel of 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 political process to be frozen.
19:01Clearly, if we have that total control, then there's no motivation to change anything.
19:07We really thought that technology has solved most of our problems.
19:12While Israel concentrated more of its intelligence resources on technology,
19:17they neglected the role of human sources, particularly in the Gaza Strip.
19:29And it would prove to be a catastrophic error in the lead-up to the Hamas attack of October 7th,
19:372023.
19:48The next chapter in the story of warfare technology began when Russian tanks rolled into Ukraine in February 2022.
19:58Ladies and gentlemen of Ukraine,
20:02Today, in the morning, the President of Putin was doing a special military operation on Donbass.
20:07Russia made attacks on our military infrastructure
20:10and on our borderlines, borderlines.
20:29The odds were stacked against Ukraine, who had 250,000 soldiers, but stood against an army of about a million.
20:55Ukraine 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,
21:31though 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.
21:52Here he is, speaking to investors in the early months of the Ukraine war.
21:58Palantir, 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.
22:18Palantir's early investor was the CIA and they have contracts with global national security organizations, including US immigration.
22:28Their next customer was to be Zelenskyy.
22:31The invitation came from the Ukrainians.
22:34So Alex Karp, our chief executive and founder, and I traveled to Kyiv May, June of 2022.
22:44I remember we woke up very early in Sheshoff on the Polish side of the border.
22:50It was dawn at 4am and set off on a very long car journey across that eastern border of Poland
22:58into Ukraine and then eight hours on the road to Kyiv.
23:06We turned up at the appointed place to meet Zelenskyy.
23:10What 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 and that he believed that
23:54Ukraine was going to be the research and development laboratory for conflict over the coming years.
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 and 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, bring 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.
25:58Palantir 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.
26:20And 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
26:38key 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.
27:11But 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.
27:49It's already an FPV drone, but with a skid.
27:54It works like a bomber.
27:57It has a turnaround camera.
28:01And skid.
28:03Well, skid is, there, there, there, there, there, there, there, there, there, there, there.
28:11It's just, there, there, there, there, there, there, there, there...
28:12By 2024, each side had more than a million drones.
28:16All right, calm down.
28:22It's for no reason to be a secret,
28:23that around 70% of the drone is a drone.
28:31Well, when you have a, say,
28:36a rocket PZRK,
28:39which costs 60 thousand dollars,
28:43there is a drone, which costs 2 thousand dollars,
28:45and the impact is, in principle, on the level.
28:51With a range of up to 30 kilometers,
28:53they transformed the front line.
28:57So, the war has changed very quickly
29:00due to drones.
29:01Now, the equipment is almost not coming to the front end.
29:07The ones that are coming usually very quickly
29:10and the ones that are coming to the front end.
29:11The lines of our and our enemies are very quickly
29:15increase by the fact that almost any drone
29:19gets to the front end.
29:23Automat! Automat!
29:26Ukraine demonstrated that the fundamental character of war
29:30has 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 end,
29:48there is a minimum one drone.
29:50It's a feeling when they are constantly looking for you.
29:54It's a moral pressure.
29:56Because you understand that wherever you go
29:58and what you did not do,
29:59they will find you soon or later.
30:00They will find you soon.
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.
30:22But 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
30:59the brutality of the attack.
31:03.
31:21I was in my apartment, Andrew Zoom,
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 closer to the border with Gaza.
31:41And these moments, there were actual fear for their lives.
31:44I didn't know what's going on with them.
31:46.
31:51For me, and I guess for many other people,
31:53it was more like from the collected level of,
31:55you know, it's if people like me that were attacked,
31:58it could have been me.
32:00.
32:06In a matter of hours,
32:081,200 Israelis were killed.
32:11.
32:16251 hostages were taken to Gaza.
32:21.
32:23The Israeli military and political response was immediate.
32:31.
32:53The three intelligence analysts,
32:55who were witness to the tech development around Lone Wolves,
32:59now returned to duty.
33:02.
33:02Once you arrive over there to the unit,
33:04I mean, of course, you sit in front of a computer.
33:06It's not as if you're able to stop the attack from there,
33:08but you can feel like, okay, okay, I do my part.
33:13.
33:13The whole atmosphere was like pretty insane.
33:16And I don't know,
33:17nobody really knew what they were doing, I suppose.
33:21Like, originally they kind of fought, they could like wipe out from us into,
33:25because of the strip, like the space of like, like a few days,
33:28and then we just have like the easy win, supposedly,
33:30and I get on with our lives.
33:33.
33:33In the first few days of the war,
33:35the biggest tasks were creating what's called targets.
33:40The creation of targets was a challenge,
33:43because the Israeli government said it followed international law,
33:47in which a strike would be prohibited
33:49when the expected incidental loss of civilian life
33:52is excessive in relation to the direct military advantage.
33:59There were complaints that there aren't enough targets in the Gaza Strip,
34:03even before the war.
34:04People high up were very content with the amount of targets
34:07that were being produced.
34:08.
34:09They set up a thing called, uh, the torrid factory.
34:13Then they were like, okay, we just need to make torrid.
34:17Just finding locations and finding people, basically, to assassinate.
34:22.
34:22.
34:34The Israeli Air Force posted multiple videos of their strikes,
34:39and the numbers of their targets, on their telegram channel.
34:43.
34:44There was an urge for extreme measures,
34:47so the general belief was that human work will not do.
34:52to create the number of targets required.
34:55So, the convenient solution was to use non-human ways of creating targets,
35:02which is, namely, AI.
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39:31numbers in Israeli military doctrine for each level of collateral damage which is allowed.
39:38I think they raised a base level and then for especially important targets, it could
39:43be even higher.
39:45So there was permission to kill 300 people as collateral damage, yeah.
39:54300 innocent victims for an approved target.
40:07On the 2nd of December 2023, the Israelis appeared to reinforce the claim.
40:14They launched more than 400 strikes and one on a housing block in Gaza City, where they
40:22said they'd eliminated a Hamas commander who'd helped plan the October 7th massacre.
40:28But in doing so, the strike had killed an estimated 300 neighbours.
40:53I remember there was this operation where other innocent people were killed.
40:58I listened to the call beforehand of the guy saying, yeah, I'm in my family home and my
41:03whole family are here and I'm worried that we will get bombed.
41:07And I finally would die.
41:09And then I'm just sitting there at like 4 in the morning waiting for like the fucking planes
41:14to bomb.
41:16This kind of bureaucratical apparatus takes like the personal responsibility of people
41:23and you don't see the face of people of you like killing, you know.
41:27But the weird thing is that I did hear these people's voices, you know.
41:31And I was like, it's horrible to say this, but you know, I heard them crying when their relatives
41:38were killed.
41:42I think a lot of what technology gives us is that it blurs the reality for us to be able
41:49to not be completely responsible for what's going on.
41:56The decision was just to bomb and bomb and bomb.
41:59If you want this space of bombings and still make them look legal, let's call it that, then
42:06you need at least this tool that does the combination of data to reach the legal threshold
42:15for what is a legitimate target.
42:19In this sense, this kind of technology is more of an excuse.
42:25All three intelligence analysts are no longer on duty in the Israeli army.
42:35By January 2026, an Israeli official briefed newspapers that they agreed there had been
42:41more than 70,000 deaths in strikes in the two years of the war.
42:49Organisations including Amnesty International, Bet Selem and parts of the US
42:52UN now accuse Israel of committing war crimes by, amongst other things, the disproportionate
42:58attacks on civilians in densely populated areas.
43:01Whilst Israel's strategy was driven by human choices, the technology enabled the onslaught.
43:09The Israel Defence Force says the IDF does not use an AI system that identifies terrorist operatives
43:16or tries to predict whether a person is a terrorist.
43:19Information systems are merely tools for analysts in the target identification process.
43:24The IDF operates in accordance with international law.
43:29Each strike undergoes an individualised case-by-case assessment evaluating anticipated military advantage
43:35against expected incidental civilian harm.
43:39Proportionality decisions are made based on the information available at the time of decision and not in hindsight.
43:44The IDF has also said that the 70,000 deaths figure does not reflect official IDF data.
43:55Whatever the lessons of the tactics in Gaza and Ukraine, the race for warfare technology shows no sign of slowing
44:03down.
44:04In January 2026, the US Secretary of War, Pete Hegseth, was fully committed.
44:11Simply put, the United States must win the strategic competition for 21st century technological supremacy.
44:19We must ensure that America's military AI dominance so that no adversary can exploit that same technology
44:27to hold our national security interests or our citizens at risk.
44:32America first in every domain.
44:36In short, we will win this race by becoming an AI first warfighting force across all domains.
44:43The rest of the world is following suit.
44:46Western governments have entered into hefty military contracts with American-based technology companies like Palantir, Google, Microsoft and Amazon,
44:56making them ever more dependent on a few corporations for the next generation of military technology.
45:03I think it's incredibly important if we want to maintain our way of life,
45:07if we want to remain advanced first world economies, if we want to keep our value system,
45:13that we in the West, broadly defined, have the dominant militaries.
45:18We have to maintain that technological advantage.
45:21And if we are in an arms race, that means we have to win it.
45:26As drones replace missiles and computers replace men, it seems that wars have not become cleaner, more surgical and quicker.
45:34If anything, the costs in money and political capital of entering wars has declined.
45:40And they're likely to become more frequent.
45:44So now is the moment for citizens and their governments to decide whether, just like for nuclear and biological weapons,
45:51we need international agreements to control the new warfare.
45:56I got to see, like, the advantages that AI gives a furious before the rest of the public.
46:04And 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.
46:26Every war, she causes a growth of technologies, a growth of innovation.
46:38Who will be the first to use these innovations, it will be the same.
46:43Who will be the same?
46:43What?
46:45Go to work.
46:58Unreported World returns with a new series beginning with the women risking their livelihoods and reputations,
47:04pushing boundaries on the screen in Nigeria's prolific but highly conservative male-dominated film industry.
47:10That's next Friday at 7.30 here on Channel 4.
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