Bannon's War Room - WarRoom Battleground EP 783： Manufacturing Renaissance; Next Generation Of Digital Manufacturing

00:00:00.000 this is the primal scream of a dying regime pray for our enemies because we're going to

00:00:10.520 medieval on these people here's not got a free shot all these networks lying about the people

00:00:17.120 the people have had a belly full of it i know you don't like hearing that i know you try to do

00:00:21.280 everything in the world to stop that but you're not going to stop it it's going to happen and

00:00:24.640 where do people like that go to share the big line mega media i wish in my soul i wish that any of

00:00:32.460 these people had a conscience ask yourself what is my task and what is my purpose if that answer

00:00:39.560 is to save my country this country will be saved war room here's your host stephen k band

00:00:54.640 okay welcome uh wednesday or excuse me thursday 5 june year of early 2025 uh we got a special

00:01:02.420 edition of the six o'clock hour because of kind of a evolving emergency as everybody knows we had

00:01:08.000 joe allen down at the eric schmidt conference um for the first couple of days of the week monday

00:01:13.300 tuesday doing all the updates on artificial intelligence and military technology uh want

00:01:18.740 to introduce a old and dear friend of mine kevin zinger who's now chairman i guess founder

00:01:24.360 chairman ceo of divergent is that is that the virgin technology and by the way zinger is uh

00:01:33.960 actually has the thousand yard stare i knew him when he was a young man uh coming out of uh yale

00:01:39.020 um and then law school was yale or did you go to harvard to take my law school you're you're you're

00:01:44.100 you and crow you guys are 100 just just kind of a jd vance trajectory exactly just jd vance plus

00:01:50.340 under the um but you played for you what did the football coach at yale say that you were he's a

00:01:59.280 you're a much bigger guy when we recruited you at goldman right you were 30 pounds bigger i was

00:02:05.860 probably 20 pounds bigger and i played probably 30 pounds heavier i played for a wonderful coach

00:02:13.060 karm koza the famous famous is in the college football hall of fame espn said he's a top 100

00:02:19.760 college coach and uh i don't know if it's correct but it was his point of view he said i was the best

00:02:26.000 player ever to have played for him in 33 years and the toughest player that ever played for him in 33

00:02:31.700 years definitely the toughest yes definitely the toughest um thanks why and i want to step back and

00:02:38.940 make sure people understand this we we've got actually in the war room for the first time and

00:02:42.920 we're trying to cut a deal so we can keep it here this is actually a cruise missile correct we don't

00:02:47.860 have a warhead or we can't claim to have a warhead or the capitol police will come on roll us up

00:02:52.380 what what is sitting here next to you in the war room right now this because this is having been on

00:02:58.400 a navy destroyer this is it feels looks and weighs like a uh like a cruise missile you're correct

00:03:06.360 steve so this is an extended range attack missile otherwise known as a cruise missile and it's one

00:03:15.520 that didn't take a couple years to develop it's one where we were brought the requirements by a prime

00:03:24.340 and that was the very start of engineering 10 weeks later we had using ai generated the most advanced

00:03:34.660 optimized design possible in an automated way 3d printed it while reducing the number of parts you

00:03:42.360 normally have a couple hundred to less than a half dozen and then automatically printed it and

00:03:50.780 assembled it and test flew it that all took place in a tiny fraction of the time with a tiny fraction of

00:03:58.440 the money it ordinarily takes and we could immediately go into full production when necessary

00:04:04.720 traditionally if you did this in the pentagon you got those requirements this is a multi-year process

00:04:10.600 and cost hundreds of millions of dollars just to get to the position to get signed off for full

00:04:15.480 production is that is that what i'm comparing it to that's correct but what we're doing with

00:04:21.400 divergent technologies would basically be taking the united states from the typewriter era of

00:04:28.660 manufacturing or maybe the ibm typewriter that added two lines of memory by adding a little more

00:04:35.160 robotics to the factory to full-on in one step mac desktop publishing this is only in america

00:04:43.880 made in america fully digital ai enabled automated engineering and manufacturing because the concept

00:04:52.500 i'm gonna get into what uh 3d printing is what all this is the ai because it can get a little confusing

00:04:57.580 for folks essentially what the the key to this is is that looking at president trump's tariff strategy

00:05:06.780 and particularly what we call reshoring and bringing these advanced manufacturing jobs or

00:05:11.540 manufacturing jobs back the peter navarro theory president trump's going down you're saying hey

00:05:16.600 i understand that i get that but in requiring these plants to come back even with the investment they're

00:05:22.980 going to make you're looking at a decade before things can get back the ecosystem around it can be

00:05:28.500 built and you actually go into full production you're saying you have a system that's a plug and play

00:05:35.120 that you can bring manufacturing back here at the levels we're talking about for production

00:05:41.000 uh in a matter of months is that essentially what what the what the alternative what these two

00:05:47.700 alternatives are exactly we don't we don't have that decade right now the chinese because of what's

00:05:55.780 happened over the last 20 years plus of offshoring have way greater industrial capacity than we do

00:06:03.640 i mean the chinese have more industrial capacity than the u.s and all of its allies combined give me that

00:06:10.860 again what do you what do you say if you look at global manufacturing market share in 2000

00:06:18.060 the u.s had over 25 percent china had about seven percent when they came in when they had finished

00:06:25.700 coming into the world trade organization and most favored nation we were over 20 and they were at seven

00:06:31.160 we were over 25 they were at seven today entering into the current administration that had fallen from

00:06:40.320 25 plus to under 15 with the trend showing by 2028 absent what this administration does it would fall

00:06:50.960 down to about 11 uh down to about 11 the chinese so think of that 11 projected uh without the administration

00:07:01.600 that we have taking action uh against the chinese which had seven percent in 2000 at the end of

00:07:10.240 2028 projected global manufacturing market share for china over 40 so over 40 versus 11 so you're saying

00:07:23.160 even with president trump's program we don't have that decade of everything having to come back in a

00:07:29.060 traditional way that that decade a lost decade will still give the ability even if the tariff system

00:07:35.400 works and president trump's redoing the commercial relationships just the physicality of bringing

00:07:40.540 that back is actually looking at it almost too in the rearview mirror and we would be destroyed by

00:07:47.260 china as a manufacturing hegemon by that time because that would still be a lost decade and this 0.79

00:07:53.260 combined artificial intelligence uh 3d printing others is a solution that you can plug and play today

00:08:00.860 and actually within a year start to really bring things back i would say we can start replicating

00:08:07.620 factories almost immediately you know there's a plan that i'll share in a second but first i want to

00:08:14.260 address the question you had which is bringing back uh factories as they exist today overseas in china

00:08:23.780 with current manufacturing isn't going to allow us to dominate in manufacturing again our strength is

00:08:34.040 technology innovation we don't need a bring back old style manufacturing we need a leapfrog china strategy

00:08:43.420 and so what we're really doing is you know if you look at when sputnik went up you had kennedy come into

00:08:51.900 the administration wernher von braun who was running nasa space at that time came in kennedy's like

00:08:58.200 how do we catch the soviets in sputnik orbit and he's like you don't you go for the moonshot you go

00:09:05.380 they're saying sputnik you're in you're in earth orbit they already dominate that that's old you've got

00:09:12.220 to leapfrog them and do something they can't do exactly we can't be chasing china in what they're 1.00

00:09:17.940 already dominating taking 10 years to do it we only have a couple of years in reality like 2027

00:09:25.180 is what as you know people are talking about this is a total leapfrog this is not anymore r&d

00:09:32.660 we're actually shipping this is a dual use technology so we not only use it for defense

00:09:37.600 we use it for automotive we're shipping to companies like aston martin the most important

00:09:44.800 safety structures of vehicles and they're out on the road in passenger cars nobody thought that

00:09:50.780 would happen for 20 years so the idea is take commercially available but the most advanced

00:09:58.500 existing on the planet which is here technology and start to replicate it as fast as possible

00:10:04.800 and put china technologically way in the rearview mirror okay hang on for a second i want to go to

00:10:11.840 because i'm sitting here with what folks you should know this looks feels ways like a cruise missile

00:10:17.380 although you don't have the the guts of it um i want to go back to uh the pentagon or someone calls

00:10:25.240 you with a set of specifics how do you go from that phone call or getting that information to actually

00:10:33.000 having a real cruise missile unless i have to go through lots of r&d uh lots of engineering specs lots of

00:10:40.660 drawings testing all of it and then a big manufacturing facility that can make a prototype

00:10:45.840 and then convince people that i can go full production just walk me through the big component

00:10:50.060 pieces the ai part of this the uh the printing part of this and what is printing i mean how can this

00:10:56.000 actually be printed and how do you manufacture it afterwards just walk people through the whole value

00:11:00.080 chain okay so there are three components to a total system one component is the design engineering

00:11:10.260 part of it one is taking that design and printing it and one is taking what gets printed and assembling it

00:11:19.560 normally on the engineering side you're taking months years with because you have teams of engineers

00:11:27.200 you're doing calculations you're having staff meetings you're you're going through your differential

00:11:32.220 calculus this is wrong this is not quite right boom boom boom and that's a team engineering process

00:11:38.220 yes imagine and there are different teams there's a team that's going to work on thermal there's a team

00:11:44.460 that's going to work on the mechanical load characteristics its stiffness air dynamics imagine that those are

00:11:53.500 actually algorithmic services meaning there is a computational simulation of flight for example

00:12:06.560 so just like we see uh uh simulations of different things in the in the video digital world right

00:12:15.600 we've seen the the revolution from analog content to digital content imagine that that engineering is

00:12:21.740 being done in a virtual world that flight the the say this you know if you look this gets attached

00:12:28.780 say to the wing of uh you know of a fighter jet obviously there are different loads where the fighter jet

00:12:37.820 is flying there are different loads when it gets released all of that is being simulated or a car on

00:12:44.780 the road is being simulated with artificial intelligence and the computers constantly simulate much

00:12:50.060 much more much faster than humans can actually work it and have meetings and do their own calculations yeah so

00:12:56.780 imagine you were playing a video game with race cars on the track except do we have this audio fine i just

00:13:01.260 want to make sure because okay keep going imagine you have a video of like cars racing or a rocket

00:13:06.700 going through there except that video is actually doing you know the microsecond calculations of what's

00:13:14.780 physically happening and this is what artificial intelligence we talk about this is what it's giving us this is

00:13:19.500 one of the great advantages of artificial intelligence the about ability to do these on an algorithmic

00:13:24.380 age to do massive part types of computation rapidly and in conjunction yes and so what it's doing then

00:13:32.780 is imagine as it's calculating these loads across this entire structure it's adding and subtracting material in the

00:13:42.700 different parts that are uh being subjected to different stresses it's playing around with it yeah until

00:13:49.340 it it it's perfect so it's not like hey make something light after you've built it and then

00:13:54.860 see if it works this is everything is getting calculated until it said everything worked through

00:14:00.460 the full simulation and it used the minimum amount of energy and material and therefore it's actually a

00:14:06.460 perfect design for your requirements and that doesn't take place in 15 months it takes place in 15 hours

00:14:13.820 and it doesn't take place with lots and lots of teams and iteration it's actually first time perfect

00:14:23.980 then the second stage says three phases then i go to when you say print people think of of the

00:14:29.980 industrial process that you you line this out you you've got uh you know uh tool and dies you do all

00:14:36.620 that on a more sophisticated level when you say print out a 3d printer right what is a 3d printer because

00:14:42.460 this sounds totally buck rogers sure and i'll just take a step back and say nothing that we're doing

00:14:49.900 today is commercially available in a counterpart to what we're doing this was literally this is your

00:14:56.700 system this is a total system development all of the software hardware in-house because you had had

00:15:03.420 20 years from you're well we this fraternity of kind of goldman sachs guys that know everybody and the

00:15:07.980 reason i've got zinger in here is that uh people the brightest people some of the brightest people

00:15:14.460 i know were part of that fraternity mna and everybody's been telling me for the last two

00:15:17.340 years said you've got to get to zinger's factory he's revolutionizing manufacturing because you've

00:15:22.940 spent a couple of decades and working in different aspects of this area and coming up with the big

00:15:29.100 idea of how to pull it all together so you've got 20 some years of actually doing this and now to have a

00:15:35.020 total system first because from the vice president's office to capitol hill when you go make these

00:15:39.900 presentations people are telling me hey this is the way that we not just catch the chinese communist 0.95

00:15:44.860 party but we can leapfrog the chinese communist party but this comes from literally decades of

00:15:49.660 experience of you to pull the entire system together correct exactly spot on so this is art as i said

00:15:57.260 going from the typewriter to mac desktop publishing and revolutions occur not when you take a single

00:16:04.540 technology even one as powerful as ai but it's when you take multiple technologies say ai uh plus

00:16:13.260 robotics plus 3d pinning plus materials science plus machine vision and you combine them all together

00:16:20.780 in a system that's when you make a revolution and so previous to this with another uh golden partner

00:16:27.340 john i had a an ai company and so as you're looking you're going yes we finally have enough

00:16:33.660 computational power that we can fully simulate not only in the digital world of digital content but

00:16:40.940 in the actual physical world of atoms we can now do those simulations this is just not digital this

00:16:48.540 is where you actually go from that to actual physicality right and so this is really the literally

00:16:56.540 in planetary history the first full physical digital system for generating a perfect structure

00:17:04.700 with fidelity printing it and then assembling it so let me move to the printing uh part of it so when

00:17:11.020 you look at these structures like this missile system for example if you ordinarily were manufacturing

00:17:19.260 it it would have over 200 parts the reason is that you would have a separate fuel tank and baffles and

00:17:27.260 bracketry ai is doing things in the same way that nature designs a human body or flora or fauna right

00:17:35.500 those are competing over eons for material and energy this is saying what's the minimum amount of material

00:17:41.100 energy that i can have this thing remain uh intact and competitive right have it win right within the 0.99

00:17:49.500 material energy world and that means that it integrates the fuel tank into the skin of this it integrates

00:17:56.780 in the fuel lines and what that means is you're reducing the number of parts and by the way most of those

00:18:03.500 parts were outsourced now to manufacturers that only exist in china you get rid of that part of the supply

00:18:09.660 chain you make the supply chain much more efficient you make the final assembly much more efficient but

00:18:16.140 you radically reduce the number of parts to simplify that uh supply chain then the question is like for the

00:18:24.940 first time instead of for example steve taking the same gauge the same thickness say of sheet steel

00:18:32.140 and simply stamping right so everything's the same this is adding subtracting so the material

00:18:38.940 is varying everywhere just to meet those absolute perfection absolute pareto optimized

00:18:46.460 perfection and that means then you have to find a way not to pour metal into a mold because that mold

00:18:53.260 is not in three dimension structure it doesn't have internal structure or stamping something it means you

00:19:00.140 have to be able to build in all of those different internal external dimensions thicknesses and so

00:19:07.820 something like this imagine there's a fuel tank inside of an outer skin with different conduits

00:19:15.260 the way that you do that is you take that structure and imagine that the machine

00:19:22.140 digitally in the software slices it into hair with slices 100 micron slices and then digitally

00:19:33.820 it sends those slices to a machine and i'll super simplify imagine the machine is a big box and at the bottom of that box

00:19:44.940 there is uh laid down coated a hundred micron layer very quickly of it can be an aluminum alloy it can be a

00:19:55.900 titanium it can be a marging steel for ammunition it can be a hanes 230 for a hypersonic it lays down that

00:20:03.980 material and then like scanning the back of a television screen with a picture for that hundred micron layer it

00:20:12.380 scans the picture of what that looks like onto that metal but when it scans that and you're using 12 two and a half

00:20:20.460 kilowatt lasers it's creating actual solid metal out of that metal powder then it's adding the next layer

00:20:30.060 again scanning adding the next layer and because it's melting in between the layers you end up with a

00:20:36.780 solid object so imagine that this was cut into thousands of slices and inside that box you had

00:20:45.340 coding scanning coding scanning coding scanning and then all of a sudden and there's a videos of us doing

00:20:51.420 this on the web we've got uh b-roll up now you'll see that and it can and and what happens there is of

00:20:59.260 those coats and things when does the final ones when all those sheets start to come together to have

00:21:04.620 because this is the output what what happens is say a missile like this would be in one two three four

00:21:13.980 sections those four sections would all uh be uh uh uh uh located within uh that box they'd be all fit

00:21:25.420 together optimally so you pack as many different pieces as possible in and as you're scanning each layer

00:21:32.780 might be scanning all four of these different pieces in different sections of that build plate

00:21:39.100 and so what comes out and say this is 30 kilograms of aluminum and you're i'm using round numbers and

00:21:46.860 you're printing at three kilograms an hour per machine you run 10 machines in one hour you've got this

00:21:54.140 and when and then the next thing so you you have to be able to uh have a structure that has all of

00:22:02.380 these unique geometries all of these unique uh functional integrations of things and write materials

00:22:09.580 and you've got to do that with fidelity you do that through the machines that we've created over

00:22:14.780 decades first we worked with another company and now we're doing it all on our own internally

00:22:19.820 uh then the question is okay how do you assemble that right so it's design print and assemble and

00:22:31.420 i'll take one step back by saying my 31 year old son uh who's now running the day-to-day operations of

00:22:38.540 the company lucas zinger he uh soccer player uh division one soccer player in college electrical engineer

00:22:45.660 also an inventor uh he was the lead inventor on the assembly system i was the lead overall inventor

00:22:52.220 i've i have over in this company just this company i have over 220 uh filed patents that are a wide

00:22:59.660 range of uh of patents the company itself has over 750 filed uh patents but on the assembly side you can

00:23:07.260 say i i can now generate with compute power and ai the perfect structure i can print the different

00:23:15.340 perfectly optimized lego blocks of anything in this printer now how do i put them together and

00:23:25.740 one of the big problems with factories and i grew up working class youngest of five as you said played

00:23:31.340 football that got me you're the only one that went to college right yes uh working class out of the

00:23:36.860 cleveland was the cleveland area yeah i was in parma ohio this was kind of the working class eastern

00:23:42.860 european work in the steel mill section of cleveland i worked summer labor at jones and laughlin steel

00:23:50.220 mill i'd say in a name from the past in college yeah name from the past i mean in college i roughnecked

00:23:56.220 and worked derrick's uh out of morgan city louisiana to to make money in the summer during uh during

00:24:03.020 college uh and so uh the problem is factories are built even today whether it's toyota or tesla for

00:24:11.420 one or two different models because the factory itself has the fixturing has what it takes to align

00:24:18.540 different things and say weld them together we revolutionized things by saying don't build assembly

00:24:27.740 into the factory and make the factory design specific make it design agnostic by putting

00:24:34.700 the assembly features printing the assembly features into each structure so imagine you've got the

00:24:42.060 perfectly optimized lego block in uh you know in uh you know digital form you send it to a machine

00:24:51.180 that machine then prints those you know with fidelity creates those with the right material then you have

00:24:59.180 the same assembly cube that's basically a universal assembler so what we build for aston martin for the aston martin

00:25:07.340 vantage like this is fully commercialized there are aston martin bandages out there driving with divergent

00:25:13.340 southern california design manufactured and shipped to england frames or whether it's a lockheed martin cruise

00:25:21.900 missile system we're generating those those structures uh you know the same printer is printing and then

00:25:31.660 the same assembly cell picks up those lego blocks on a little mobile robot lifts them up uses a patented

00:25:40.380 system we have which is a machine vision system to align these pieces together and imagine the lego

00:25:48.300 blocks just come together boom boom boom so this takes a couple of minutes to assemble a couple of

00:25:53.340 minutes to assemble yes and by the way this can immediately shift from assembling for aston martin

00:26:00.060 or mercedes or bugatti or mclaren all of whom are customers to assembling for northrop or general atomics or

00:26:09.020 all the control or anybody out there right it this is design agnostic meaning you know how amazon web

00:26:15.420 services can process anybody's data this is a system where these tools will anything that's

00:26:21.580 generated on these tools apart for a high-end automotive uh car or a cruise missile hang on for

00:26:27.580 one second we're taking a short break sponsored by uh take your phone out uh right now text bannon b-a-n-n-o-n

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00:26:44.620 commercial break kevin zinger with the future is now in manufacturing he's going to talk about how

00:26:51.020 we can bring manufacturing back to the united states immediately short commercial break back in a moment

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00:31:03.020 okay welcome back um kevin you've you stuck the landing so in the first part we went all the way through

00:31:08.860 from theory to actually get the end of a product and that product could be a commercial product for

00:31:13.500 an automotive company high-end medium and it could be a cruise missile advanced weapon system or anything

00:31:18.860 in between i want to walk now because so many smart people people have been your friends and colleagues

00:31:24.460 for years that have said you got to see what zinger's doing he's revolutionizing manufacturing we

00:31:29.260 understand the war rooms at the edge of the cutting edge of hey re-industrializing america

00:31:34.540 also people in this city whether it's over the defense department whether it's uh on capitol hill

00:31:40.300 in the white house in the west wing people are saying this may be our solution to as you said

00:31:46.300 not play at the sputnik level but get to the moon level like we did back in the 60s walk us through

00:31:52.620 first of all is the concern was one of the concerns you're going to wipe out all the manufacturing jobs

00:31:57.660 here or is this product that you we don't have right now that we need to have built in this country

00:32:03.020 i think it's a fundamental fallacy to look at some technology and say oh is this going to bring

00:32:10.780 up back the jobs that we had in the same kind of factories from 1950 obviously people do not go back

00:32:18.860 in time they advance if you look at amazon web services for example what happened back in the 1990s

00:32:26.860 if you and i wanted to start a software company we literally had to set up our own server factory right

00:32:33.420 huge capital barrier huge time barrier then you have amazon web services all of a sudden you didn't

00:32:39.900 have tens of developers of products you literally had tens of thousands of developers in an ecosystem

00:32:49.420 provided by the infrastructure of a company that said here's the cloud here are the tools imagine that

00:32:56.620 what happens in the united states and these factories not one factory in torrents but hundreds of factories

00:33:04.940 across our nation across our allies countries are all in a network where people locally can develop

00:33:15.260 almost anything they want so companies from large companies to small startup companies all of a sudden

00:33:22.700 they have the economics of an apple but unlike apple they're not using foxconn they're using a much

00:33:30.220 more advanced digital version of that localized nationally across the united states that's how we should

00:33:38.940 think that's how our president who's a disruptor does think uh that's why i'm thankful to be on this

00:33:47.740 show because i think it gives us the opportunity to say look at this you've got a dead serious fully

00:33:56.540 commercialized solution at that point where in america america owns this all we need is the will

00:34:05.260 and the planning to scale it and we can make this happen in a transformational when you say you're

00:34:11.100 design agnostic too for the assembly you're also saying i'm not chained to have to go to uh re um

00:34:18.060 refurbish older manufacturing facilities etc because your facility in torrents correct me if it

00:34:24.380 wrong because that torrents had a lot of light manufacturing you actually went into an old fedex

00:34:29.180 uh warehouse a deposit a distribution center you took that over right that is your manufacturing

00:34:37.420 facility today the your beta site test yes so imagine and i was talking about uh the printing of

00:34:45.020 the six parts of this system and then their assembly in a cell and the printing taking about an hour and

00:34:53.020 the assembly taking a few minutes imagine you have one cell and tens of printers all doing different

00:35:02.140 things each of those printers is design agnostic meaning say i i have across that nationwide network

00:35:10.540 i was talking about we'll just make up a number 10 000 different things that i'm doing a printer literally

00:35:17.260 could have data sent to it from any one of those 10 000 things and print it in one hour

00:35:22.780 and have some other thing sent to it the next hour and print that and any of them can then send it

00:35:28.700 to the assembly cell and have it assembled so it is and like mac desktop publishing think of mac desktop

00:35:37.660 publishing plus a ai generates a comic book or it generates a novel it doesn't matter format

00:35:45.580 sends that to a machine and the machine simply prints out what that is that machine doesn't change

00:35:50.620 it doesn't reconfigure that's what we're doing with printing uh and with uh assembly that allows and

00:35:59.100 this is a core part of the vision each factory each machine is for multiple industries multiple

00:36:07.020 companies multiple products give me an example of that automotive across any number of different

00:36:14.220 types of vehicles unmanned air land sea and space vehicles uh uh bell crank for the tail rudder of

00:36:21.900 the c-130 as a maintenance part uh you know an intercooler we just printed uh uh for indopacom for

00:36:30.220 an amphibious uh vehicle uh another part that we just did for the u.s army thousands of different

00:36:37.580 sustainment parts everything from existing missile systems that we use to all of the newest lower

00:36:46.060 cost need for adaptation uh unmanned air land sea and space vehicles each machine can print many most or

00:36:56.220 all of the different parts of those and then uh that assembler assemble them in a design agnostic way

00:37:02.700 meaning shifting capacity in whatever way and you can also since you can do these in any size you

00:37:08.220 want you can put it to you can cut logistics time and transportation time actually building the fact

00:37:14.060 that this your factory close to if there's other like near the near the automotive industry or near the

00:37:21.020 aerospace industry or near whatever if the some of that let's say down in alabama where they've got some

00:37:25.980 of the arms manufacturers you can put a factory right there that can then feed it right into the

00:37:30.940 bigger process yes so that you know we're we're working with every single major prime plus many

00:37:38.780 of the new primes and and smaller uh defense uh contractors prime defense contractors and we're

00:37:46.220 in discussions with many of them about our locating and owning and operating for them facilities is the

00:37:52.220 capital investment in these plants so high is that prohibitive or is it that lower and makes it more

00:37:57.820 attractive i'm trying to think about every negative every negative argument here we have about a six

00:38:04.380 month capital payback per factory that's it that's it less than six months and by the way we build we

00:38:11.580 build the machines of our factory our printers and assembly systems in our factory so this is a localized

00:38:18.460 factory that replicates itself and that versions itself so whereas like you were having communities

00:38:27.660 gutted gutted in places like ohio because a factory that could only do a couple of products

00:38:34.540 became obsolete this imagine is this network of factories is sharing data and upgrading itself and so

00:38:42.780 you have permanent manufacturing footprints in those communities that just grow and learn that's why

00:38:49.420 america can capture the future now one of the things we've been talking about is is this huge fight

00:38:55.740 that's going on with um with um the deficits and the debt and the budget and the war room is very

00:39:02.540 much into this and we've argued for a while you got to cut the defense budget you can't get to a

00:39:06.860 trillion dollars you got cut a hundred billion dollars one of the things it correct me wrong that

00:39:11.660 you've run up against is kind of that mid-level senior people see the vision and see why this is needed

00:39:17.980 so rapidly because we got to leapfrog the chinese communist party but just the way the system works

00:39:25.500 right and i'm no defender of elon but he got a little bit of this in doge when he was going around

00:39:30.380 we do have a system in place in the imperial capital that's just the way things roll and it it it it's got its

00:39:38.540 own ways it rolls is that's what's holding this back from us rolling this thing out and getting

00:39:45.420 people in back of it is that just to get the approval at least on the side of the defense

00:39:49.980 industry where you could be making a lot of different products everything from vehicles

00:39:54.700 not just cruise missiles but your actual jets uh you know tanks uh humvees all of it is that is

00:40:02.620 is it the mid-level that you're stuck at the short answer is yes uh what i would say is you have

00:40:12.060 people you know and and you served i i served in the marine corps reserves as infantry riflemen

00:40:19.580 you know these are people of goodwill yes but they are in a position they're in a system where they're

00:40:25.020 in a system and they're told this is the manual that tells you how to validate and do airworthiness

00:40:32.940 for a process that's 75 years old for casting and then they're being asked to all of a sudden

00:40:41.340 look at something that is 20 years more advanced than any other place on the planet they can do it

00:40:46.700 in 15 hours and they're not 15 hours people then they're saying yes we want to do this but how do we

00:40:54.140 understand it who gives us the top cover and part of why i'm in washington is that at the

00:41:01.500 command level we've got super strong support at the white house level up through the vp we've got

00:41:09.260 strong support at the pentagon level we've got strong support in congress people like chairman cole

00:41:16.220 uh chairman kelbert are giving us very strong support that needs to though with a real sense of urgency

00:41:25.980 look and say we can transform things we've proven that this technology works it's already in an adjacent

00:41:35.020 area fully commercialized it is absolutely urgent we now need to apply it and give these people you

00:41:43.980 know of good intent and goodwill in that frozen middle the capability and the tools not in the normal

00:41:51.820 cycle cycle of years and years and years but something that says china 2027 is real like we

00:41:59.580 don't have the next hour to waste when you say 2027 because we're going to get to the commercial side

00:42:05.260 in the time we get remaining but back to the defense side uh it is quite evident that particularly with

00:42:11.340 the fall of as we talked about on the show today the fall or yesterday the fall of korea uh

00:42:16.780 hexa says hey a a attack may be imminent in taiwan that deals with the south china sea and the ability

00:42:23.900 to us to defend something that's only 90 miles off the coast and the seventh fleet may not be up to

00:42:28.700 it you're saying if their timeline is 2027 this right now of all the alternatives out there is the only

00:42:36.300 alternative that can get us to a place that we could actually defend ourselves from an attack by the

00:42:42.060 chinese companies part of the people's liberation navy you know respectfully and most respectfully

00:42:47.340 because i you know i was an 0311 rifleman i was a lance corporal carrying carrying an m16 at that time

00:42:55.580 but i you know i i obviously know a bit what what i would say is you look at systems like this

00:43:01.500 traditionally manufactured for something like say an anti-ship cruise missile you might be able to build

00:43:08.300 four or five hundred a year one of our printers can print four hundred of those a year ten of those

00:43:16.220 could do four thousand right a hundred of those which you could easily build could do forty thousand

00:43:25.100 that's a wall of steel that between now and 2027 could be built and that's real deterrence and there is

00:43:34.940 absolutely respectfully no reason why that shouldn't be done not just a wall of steel but correct me if

00:43:43.340 i'm wrong the unit cost would be a tenth a much lower much lower half much lower much lower i mean you're

00:43:51.020 talking about systems that are in the hundreds of thousands rather than in many millions yes and in

00:43:57.020 a time that you shrink down from concept to the battlefield of months instead of years or decades

00:44:04.380 and let me add two additional aspects to that right in the ukraine we saw adaptation is super important

00:44:14.460 right like you're changing constantly yes everybody is saying the problem with hardware is you can't

00:44:21.500 develop it as fast as software here you can develop hardware as fast if not faster than software something

00:44:28.060 happens it's not like you've built up a bunch of inventory you need to put a new seeker in this

00:44:34.220 any machine anywhere you generate a new design any machine anywhere can print and assemble this

00:44:40.780 anywhere you have an ally say somebody in AUKUS or NATO goes hey we want to use

00:44:47.660 our 150 pound thrust gas turbine jet engine for this cruise missile you generate a variant and

00:44:53.580 you build it wherever they're at that allows you to adapt super fast extend the supply chain have

00:45:02.300 suppliers compete and be qualified for every single part and the machine itself then becomes the

00:45:08.460 integrator and an integrator with zero tooling zero fixturing and design agnostic production and assembly

00:45:16.060 one last time in the way the pentagon looks at it in our national security community the 20 20 27 which

00:45:21.900 is like the year people are most worried about you're saying that your total system is the only way

00:45:28.460 practically that we can leapfrog get even to the chinese and practice and and leapfrog them on just 1.00

00:45:35.260 the quantity and quality of weapon systems today well i would say saying it is the only way the only way

00:45:43.100 i know maybe somebody has another way all i i mean it hasn't been presented i'm a patriot it hasn't

00:45:48.940 presented it hasn't been presented yeah it hasn't come up to the system you know what i'd say is we're

00:45:52.860 working even with the major primes are saying we need to work with you uh what do i know a hundred

00:46:00.220 percent missouri prove it to me we could take anybody to our factory show them the rate at our machine show

00:46:07.180 them the stability show them how fast we do this and say can you could we do 40 000 anti-ship cruise

00:46:14.460 missiles by 20 27 absolutely positively everything on the line yes yes yes and then i would say you know

00:46:24.940 macarthur said that that the one thing that he knew about how you fail in war is be too late right and you

00:46:34.140 know what we don't have an hour to waste against the chinese communist party okay i want to go to

00:46:39.500 the course side we just got a couple minutes for people out there saying hey this would be perfect

00:46:43.500 in our community etc on the commercial side not related to defense what you're doing for a certain

00:46:48.700 automotive industry other component parts what's holding you up from rolling out this system

00:46:54.220 throughout the country i'd say what we need to do is have a catalyst we shifted about two years ago

00:47:01.580 because of the need of the defense industrial base for this technology to focus on that what i would

00:47:08.380 say and what we're talking to the government about is building within the next year five factories uh

00:47:18.140 for about 250 million dollars i think that would catalyze factory or no 50 million 50 million per factory and

00:47:27.740 that means these would be factories up and running and producing parts sustainment parts uh existing

00:47:35.980 missile systems new missile systems so this is up and running producing at capacity out of these

00:47:43.020 five factories i believe and and i mean you know uh you know the capital markets they would look at this

00:47:51.020 and go okay money should be going into this i think we do that we we have that catalyst we're going to

00:48:01.100 have a hundred plus factories quickly we're during this administration that will transform this country

00:48:09.100 in ways that are unimaginable um where do people go i want to make sure people go we've played the b-roll i

00:48:15.580 want to make sure people go see the videos uh whatever live stream or whatever you have at the torrents factory

00:48:21.660 your social media website all of it because i know you're going to go out and and do a lot of media

00:48:26.060 but we want to make sure the audience the audience loves the receipts they'd love to get into the the

00:48:29.900 live streams or whatever you have the factory where do people go to get all the information about uh

00:48:33.900 about divergence and is this do you have this a simple type of presentation up on the website people can go through

00:48:39.900 yes you'd go to divergent3d.com uh if you go and that has all of the videos it has a short video

00:48:48.700 obviously we don't show everything on that video because there's a lot of in some proprietary

00:48:53.980 and certain classified i'm sure but i'm lucas and i my son lucas and and i are super looking forward to

00:49:01.740 hosting you there no we're gonna come we're gonna come out and do the war room from the factory floor

00:49:06.220 i want to take people around and and show them everything right you know i've had of one of the

00:49:11.820 most famous technology companies out there the cto walked out and said when i had this first explained

00:49:18.300 to me i thought no way right it's like this is this is west world what no no for the kind of world

00:49:24.460 because the guys you know we we came up with they're not technologists like you they didn't

00:49:29.020 shift they're investment bankers they're financiers but they're smart people i've had somebody that crowd

00:49:33.420 say you got to see kevin's thing but they're not technology guys then when i heard that this is

00:49:38.540 so important for defense i started doing checkings and people that are heavy duty on the manufacturing

00:49:44.620 side it's told me consider this is the future of american manufacturing you want to have a

00:49:49.180 manufacturing renaissance quickly that this is the way to kind of turbo charge us and so everything

00:49:54.540 i've seen of course bringing the cruise missile into the war room we greatly appreciate kevin zinger

00:49:59.340 thanks so much founder and you've done a uh god bless you you're in no dude you're you're the

00:50:04.380 you're the um you're the american story working class family uh we're the american story as ethnic uh

00:50:11.580 served in the marine corps uh went to a uh went to a uh pre-woke ivy league uh ivy league uh school and uh

00:50:21.100 and of course now serving your country and doing this and this is going to be a big deal we appreciate

00:50:25.660 you coming in and sharing it with the war room because now people can start to understand it and

00:50:28.940 we'll we'll prep everybody for our live uh factory floor which uh is right next to where mo bannon was

00:50:35.100 raised in manhattan beach torrance is right there it's the inland city of it so we're looking forward

00:50:38.540 to come out there and seeing you looking forward to it and i'd just say to all all the marines out

00:50:42.540 there semper fi semper fi we got a big veteran so marine marine turned out good not an ex-marine former

00:50:49.340 marine as all you guys are and by the way i have the great honor of having general peter pace on my board

00:50:54.780 wow chairman of the joint chiefs and a wonderful wonderful human being and by the way real quick

00:51:00.700 pay com indopay com talk about that the admirals have been out and been blown away by i mean i i can't

00:51:08.380 i don't think i've ever been more impressed by a a human being that i am by admiral uh sam paparo who is

00:51:16.540 uh the commander of indopay com that's for your audience 60 of our entire military the way the

00:51:23.340 weights on his shoulders against the ccp he spent a lot of time in here he always says to me kevin 0.59

00:51:29.260 tell people the extensive engagement i have in this i believe in this great he's an amazing man

00:51:36.300 and i'll say he has a great quote and i was just speaking at an ai conference number one sustainment

00:51:41.820 uh is what won the second world war and that was america number two we're not going to ai our way out of

00:51:48.860 a material deficit we're going to see you tomorrow morning at 10 a.m when we'll be back in the war room

00:51:54.860 see you then what if he had the brightest mind in the war room delivering critical financial research

00:52:01.740 every month steve bannon here war room listeners know jim records i love this guy he's our wise man

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00:52:36.780 financial chaos bank runs at lightning speeds algorithm driven crashes and even threats to

00:52:42.860 national security right now war room members get a free copy of money gpt when they sign up for

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Bannon's War Room - June 05, 2025

WarRoom Battleground EP 783： Manufacturing Renaissance; Next Generation Of Digital Manufacturing

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