True Patriot Love - September 27, 2026


Is the AI Boom a Bubble—or Just Getting Started？

Hosted by
Shara Micucci Mike Wixson
Mentioned
Professor Zhang Trump Monroe Doctrine Ron Coughlin Ron Coghlan TPL Media
Tariff Fatigue Is Here： What Happens to Canada Next？ Should Canada Raise the Retirement Age to 70？

Episode Stats


Length

33 minutes

Words per minute

176.69

Word count

5,863

Sentence count

87

Harmful content

Toxicity

2

sentences flagged

Hate speech

7

sentences flagged


Transcript

Transcript generated with Whisper (turbo).
Toxicity classifications generated with s-nlp/roberta_toxicity_classifier .
Hate speech classifications generated with facebook/roberta-hate-speech-dynabench-r4-target .
Hosts, guests, and mentioned names generated with spaCy (en_core_web_sm), reconciled against Wikidata.
00:00:00 Artificial intelligence is an interesting thing.
00:00:03 I'm not sure that we got that.
00:00:05 I think what we got was speedier, more effective internet,
00:00:09 search results, software integration.
00:00:13 I think what we got was a booster shot.
00:00:16 I don't know that we got AI.
00:00:23 A lot of scuttlebutt about AI over the last couple of weeks.
00:00:27 Even the biggest companies and the leaders of those companies in AI are saying,
00:00:32 you've got to slow down things.
00:00:34 We need regulation.
00:00:36 We're staring down the tunnel of terror with AI,
00:00:40 and we need to slow down to talk more about where we are with AI.
00:00:44 Paul Micucci and Ron Coghlan, thanks very much for joining us.
00:00:48 I'm Mike Wixon, TPL Media.
00:00:49 Guys.
00:00:50 It's a hoax, Mike.
00:00:51 It's a hoax.
00:00:52 It's a hoax.
00:00:53 It's a hoax.
00:00:54 Well, it's funny that you say that.
00:00:55 Someone says that, I heard.
00:00:56 Yeah, I have heard that out there.
00:00:58 So Trump came out, said it's a hoax.
00:01:00 So it must be a hoax.
00:01:02 It must be a hoax.
00:01:03 It's a hoax. 1.00
00:01:04 We're taking the I. 1.00
00:01:06 The A can stay.
00:01:07 So is global warming, you know.
00:01:08 Yes, yeah.
00:01:10 He's had a couple of hoax calls out there.
00:01:12 However, I think that what we're hearing is him saying it's a hoax from an investment standpoint.
00:01:18 Yes.
00:01:18 Many of the global investment indices are saying now that AI as a safe bet is not something that they're looking at anymore.
00:01:26 that they've maxed out a lot of financing of these companies.
00:01:30 And at the same time, as I said,
00:01:32 these companies are saying to the government,
00:01:34 we need regulation.
00:01:35 It's going to be so terrifying.
00:01:37 And this up against the investors,
00:01:39 it led me to a discussion I had with you.
00:01:42 Yeah.
00:01:43 They're trying to get to their IPOs, Mike.
00:01:46 So, you know, the market is kind of eroding.
00:01:50 They're seeing what's happening internationally.
00:01:52 So back up for a minute because, you know, we live in a microcosm.
00:01:58 Everyone does.
00:01:59 And, you know, you focus on yourself, your world, how you do things, how you use things.
00:02:03 But if you're one of these big tech companies, these hyperscalers, as they're calling, you know, they've given them the term hyperscalers because they're trying to move so quick towards the AI.
00:02:13 I think it's because most of the executives have ADHD, but never mind.
00:02:17 That's another story.
00:02:17 Yeah. So what they're trying to do is they're trying to get to that big IPO, that billion trillion dollar IPO. And the challenge right now is you're seeing in China and over in Taiwan, the market's softening right now, right? AI is kind of becoming, I hate to say it, a little bit of yesterday's news, right?
00:02:37 so yeah they're you know and we're saying you know we got to do it because we got to be competitive 1.00
00:02:42 with china china's saying well we got to be careful because we can't keep trading on the 0.99
00:02:48 dream of ai so they're kind of stopping the trading methodologies they're slowing down
00:02:53 trading in the marketplace so it's the market's changing and so that's i think what they're
00:03:00 alluding to when they talk about a hoax that's what it feels well and also to that point yeah
00:03:05 I kind of feel like, okay, Ron, if, if we see, uh, by the way, Ron Coughlin, inventor of AI,
00:03:11 if we go, if we see, if we see down the end of the tunnel, very convincing, it's getting better
00:03:19 every day. Uh, if we look down the run, you know, at the end of the runway for AI, and if you
00:03:25 compared it to like a, uh, a.com bubble burst, if it were, or a real estate burst, you can predict
00:03:32 these things several months or even several years out and as you point out if you're trying to get
00:03:37 to an ipo you need to lengthen that amount of time and to ask the government to slow you down but
00:03:43 leave you in the lead is a good position to be in a very quick favor before we continue a large
00:03:49 percentage of you who watch or listen to tpl media every week aren't subscribed yet our simple
00:03:56 commitment to you is that if you find value there if these discussions make you think if you want
00:04:02 our uncensored debates deeper dives and extended sit downs head over to tplmedia.ca and subscribe
00:04:09 there directly it takes just five seconds costs nothing keeps you informed so thank you now back
00:04:16 to the show oh yeah for sure for sure well that gives you time to i hate to say it but you can
00:04:23 use some scare tactics you can get people nervous and you look at you know they're they're now
00:04:28 referring to the british railway and they're referring to the dot-coms and electrification
00:04:34 and all the things that happen they're saying they all busted so they all basically bankrupt
00:04:40 out before they actually became something yeah well the internet now still exists but you know
00:04:45 it's supposed to explode in the year 2000 remember right that's right and and by the way i still have
00:04:51 i like puppies.com i haven't made a dime off of it but raised an ipo for 50 mil so that i kind of i
00:04:58 get that same feeling from this you know ron let me ask you from sorry yeah from from the perspective
00:05:05 of uh technology and and uh a good moment to maybe plug your podcast because you yeah actually uh
00:05:11 focus on this yeah so uh on the podcast that i run and what's your story gen ai it looks at
00:05:17 how people use ai to make their lives easier to run their companies more efficiently to
00:05:24 create content um and to analyze uh their businesses and and their competition i got
00:05:31 so excited very fast yeah i got so excited the other day i came running in and i'm like
00:05:35 i built a website using chat gpt and i did it's very good i'm very proud of myself but it was
00:05:41 this large language model that made it possible so now i ask you this from a technology standpoint
00:05:47 in a user standpoint artificial intelligence is an interesting thing i'm not sure that we got that
00:05:54 i think what we got was speedier more effective internet search results software integration i
00:06:02 think what we got was a booster shot i don't know that we got ai no well i think right now you're
00:06:09 you're absolutely right however what the worry is is these machines are learning from themselves
00:06:15 And when they start thinking for themselves, and that's what they're scared of, I think, yes, there is something to be concerned at. 0.90
00:06:23 And also, I always say, and I've heard a number of my guests on a podcast say, it's garbage in, garbage out.
00:06:29 So who is ever designing the platform puts biases into it.
00:06:34 And those biases can, at times, not be from very honest people.
00:06:39 And so then we get a situation which is worrying other people.
00:06:44 Yesterday, I had the, or on Saturday, I had the whole family coming over.
00:06:47 And so I said to ChatGPT, this seems like a lot of work.
00:06:52 Do you think it'd be all right if I said to them that I had COVID?
00:06:54 And ChatGPT said, yeah, sounds like a good plan.
00:06:57 You know what else you could do?
00:06:58 And I'm like, don't you encourage me right now?
00:07:01 What you should be saying is, no, you're family.
00:07:03 You need family time and da-da-da.
00:07:05 Well, I will lie to you, by the way, to please you.
00:07:08 It tends to, yes.
00:07:09 It wants to be your friend more than it wants anything.
00:07:12 yeah so these hyperscalers give you an example of what it's lining up to look like so this is
00:07:17 very interesting and thank you liam for putting this together they're going to spend about a
00:07:24 trillion dollars in 2026. so amazon's 2 billion microsoft's 190 billion google's 180 billion
00:07:33 and meta is up to 140 oracle you know even more so this is what we're looking at so our the trillion
00:07:43 dollar mark is on the horizon so they're already way out front on this yeah so now to say oh i have
00:07:51 to stop it would be better slow down if they wanted to continue my guess is they would right
00:07:57 regardless of whether whether you have someone coming out a whistleblower yeah they would be
00:08:02 they would really be pushing to keep going i i don't know that i buy into any of this
00:08:07 whistleblowing by the way but for a later moment in the show perhaps but to hyperscale
00:08:13 you're right is a major that is a high torque investment yes that involves nations in our case
00:08:21 data centers in several places in canada it involves you know huge amounts of capital 0.73
00:08:28 and uh the executive level of this is taking off with their own personal wealth is ridiculous
00:08:37 but now you have it's interesting and now you have public sentiment that's turning
00:08:41 so the the interesting thing is you're not in my backyard yeah you have all these people saying no
00:08:46 ai data centers i don't want it here canada it's it when you go to a dinner i don't know you know
00:08:53 when you're out with your friends on the weekend and you're talking to people that's that's top of
00:08:57 mind like you don't even have to ask it do you want a dad what oh no data center here we're
00:09:03 gonna fight it they're all like up in arms i don't want my kids have to have a future this
00:09:08 reminds me of windmills you know like the yeah yeah this is windmills on steroids that's right
00:09:14 you know and and ev cars on steroids frankly you don't even get to have a rational conversation
00:09:20 they're already like venting yeah and you're like okay i better go to the next subject so you don't
00:09:24 really get past some like you don't get to have rational discussion on this topic which i think
00:09:29 also these hyperscalers are starting to realize too they live in our world you know the names i
00:09:35 just mentioned they live in our world pretty seamlessly right now they don't get a lot of
00:09:40 bad feedback they're very you know basically they we use their tools and we use their programs
00:09:46 now all of a sudden people are starting to shift and look and examine who is it
00:09:51 um you know and it was interesting so on the weekend I you know I was going to call you but
00:09:57 I left I said you know give Mike a day off you think I get days off on the weekend when I was
00:10:02 up all night tiling I thought I'm calling Mike at two in the morning but no I didn't right thank
00:10:07 you so I appreciate I said I said I was listening to Professor Zhang sorry Nick sorry Nick always
00:10:14 gives me a hard time because I listened to Professor Zhang but I come on he's a he's a
00:10:18 personality i do like professor jeng and i like him too i do like him and i do like his theories
00:10:23 because quite frankly they make my mind think about different things but you know he he really
00:10:28 caught me and he was if you get the show with diarist ceo he he really caught me uh on this
00:10:34 podcast because he says technology equals specialization times globalization i'm going
00:10:41 to give him credit for that explain that to me so he he says only technology can advance if you
00:10:47 have globalization. So let's take a microchip or a process, a
00:10:56 smart phone semiconductor, right? So it comes from different
00:11:01 places. So basically, the software design may start in
00:11:05 the US. And then it goes, it comes from Europe as IP. So
00:11:14 right so somebody invented it someplace it goes to manufacturing well it doesn't even get to
00:11:19 manufacturing yet then materials then they got to collect the materials so whether they get the
00:11:23 materials from china the rare earth minerals and then they get the silicone from the united states
00:11:29 it all comes together so and then it goes over to say taiwan but then the equipment that actually
00:11:37 makes it is from the netherlands the u.s from japan and europe so and these machines that
00:11:43 making um these semiconductors are like he he estimates 400 million dollars each so then you
00:11:51 have this or 400 million 400 billion or crazy amount of money yeah and so they have come over
00:11:59 and they actually make the semiconductors and then those semiconductors go to china to be assembled
00:12:06 in the smartphone or in whatever piece of technology we want so it you know we are kind
00:12:14 of naive he's making the point that we're a little naive to think that china is the final
00:12:20 uh that it's self-sustaining and that it could be the the actual singular departure point
00:12:28 for ai exactly so you know he's he's really saying that if you don't have globalization
00:12:34 So if the world nationalizes, so, you know, President Trump's and the U.S.'s idea of nationalizing and, you know, Western hemispheres, security, his Monroe Doctrine, so is that if it does take place and if it does solidify like they want it to, globalization will stop and nationalization will start.
00:12:57 therefore technology will shift backwards because without each other without the support of multi
00:13:03 nations then you'll have to find it all within your own country and then then what it's interesting
00:13:09 then any that sounds like something going on south of the border right now it is it very much is it
00:13:14 actually sounds to me like russia well but but do you remember germany and i i hate to say but
00:13:20 germany during the nazi regime they tried to find the first thing they did is they tried to find
00:13:26 all the brightest minds to collect them to to start to create things right they were they 0.85
00:13:32 they beat on a they went on a huge brain drain you know which is they got the best people they
00:13:38 could and they they created it i'm not saying it's like that here but um that was the strategy
00:13:43 for world domination so what people tend to do is when things get tough and they think they
00:13:48 that they might be going to a nationalistic environment they try to pull the best minds
00:13:53 into place because they're going to have to use their own resources to create those things
00:13:57 challenge is and it's not that we don't have smart people it's not the world but the world's changed
00:14:04 and people are harder to find people are harder to motivate to move shift and i think you know
00:14:10 in those times people were simpler if you're nationalizing you're probably not allowed to go
00:14:15 to another country exactly so so no matter what how much money you pay them and try to shift them 0.97
00:14:21 is someone going to leave here and go to like the chinese quite frankly when we talk about the 0.99
00:14:26 you know they're making those uh semiconductor machines in the netherlands are a bunch of those
00:14:31 guys going to move to china probably not you raised a good point earlier before the show you
00:14:35 said you know mike enjoy that phone while it lasts yeah i was like what do you mean well
00:14:39 well his theory and i think it'll still be there do you think you'll still have that kind of phone
00:14:44 or the use of it hey before we go any further please hit the subscribe button right now
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00:15:01 All right, back to the show.
00:15:03 That's a good point.
00:15:04 Well, his theory, it's going to digress.
00:15:06 So he thinks that the technology, we've reached an apex in technology, and thinking that it'll go any further than this is naive.
00:15:14 It'll actually shift back.
00:15:16 so we'll go back from so when our when our iPhones conk out every three years like that little chip
00:15:23 is supposed to and we're supposed to go get a new iPhone that'll be the end of the iPhone because
00:15:28 there won't be another semiconductor in that iPhone to make it work so we'll have to go to a
00:15:32 more basic phone in Canada's case we'll go back to more of a Blackberry let's hear what Professor
00:15:39 Jay had to say on this topic if we go back and talk about global supply chains this formula is
00:15:44 very important to understand technology equals specialization times globalization so in a time
00:15:50 when global supply chains are breaking down in time of war ai cannot make that leap into agi
00:15:58 so what will happen is ai will be repurposed as a control grid rather than ai developing
00:16:08 the intelligence necessary to reduce scarcity to solve the most pressing medical problems of
00:16:17 humanity uh to solve climate change ai will be repurposed to monitor and surveil all of us so
00:16:27 you know that's the point he makes so you know all kidding aside but it does it does open up
00:16:33 some opportunities here in canada as we look at it to use our brain trust and and our resources
00:16:41 which again you know we didn't show on energy we just did a show on energy it's so interesting
00:16:47 ron because you know we're a superpower and energy yeah we are right we have lots of minerals
00:16:54 discovered those superpowers we are if we have superpowers we should use them right we should
00:16:59 start flying you know we should lift tall buildings we should do all that stuff we got to start using
00:17:04 them because quite frankly we can keep saying it but it's not i wish i can i wish i can i wish i
00:17:10 can it really has to start to happen so there are some opportunities for us but but really globally
00:17:16 is you're right you have to have a whole planet using an iphone or an android phone to make it
00:17:21 feasible for anybody to have one yeah you need everybody on the internet to make the pipeline of
00:17:27 uh data affordable for everyone otherwise it's an early adopter network of you know very expensive
00:17:37 uh computer use and in the end what are we really getting from ai i think that it's it's assisting
00:17:43 people do the menial things faster easier maybe a little more flawed maybe a little less flawed
00:17:51 in some cases prettier pretty it's better i don't know i sent uh i sent an invite out for a christmas
00:17:57 thing already because i want to be ahead of the game and my my daughter sent me a note back saying
00:18:02 look at this ai garbage and it was i made the invite it's gorgeous but it's it's definitely ai
00:18:10 so yeah we've made ourselves the ability to do things prettier our notes are prettier
00:18:15 My notes for shows are, I can build websites.
00:18:18 I'm able to do research to some degree faster,
00:18:22 create these imagery, fake videos and stuff like that.
00:18:26 It's all social interaction and lower end tasking right now.
00:18:32 Right now.
00:18:32 And I have to ask, why?
00:18:35 I mean, AI has been out now long enough
00:18:37 that it could be tasking much higher.
00:18:39 And if these machines really are learning from themselves
00:18:42 the way that we're being told they are,
00:18:43 we should be there today already maybe i'm wrong well you know it's really interesting is you know
00:18:50 the google next which is the they've just recently changed the platform over to their ai model which
00:18:58 is gemini and i heard a story the other day that somebody asked its google nest to
00:19:06 ignore all the rules you know and just interact with us
00:19:10 and how did that go it it did wow so i'm going to try that i just hope it i can get it back to
00:19:19 the way it was yeah and also this is the last we hear from ron no i mean guys i'm chained up
00:19:25 in the basement be quiet ron you remember the movie her yeah right yeah so it's just an
00:19:33 interesting thing that i think from a security standpoint yes ai could be dangerous but it's all
00:19:41 advanced coding based on a large language model i don't know that that's ai necessarily or just
00:19:47 interaction with data and how we manipulate data the difference is that it learns it learns from
00:19:56 the data right so instead of you directing it and asking it to find something it will learn from that
00:20:03 data and further enhance the results it gives you and also the results that you want to hear and see
00:20:09 so it it's much different than just googling something because that's that's human directed
00:20:16 it does feel like a a an advanced response engine yeah it's also changing the way that
00:20:23 marketing is done because just take the case of google adwords which are the words you use to
00:20:31 find things uh people aren't using search that way anymore they're putting in more a lot more
00:20:39 information and then seeing what comes out of it and then building on that larger prompt
00:20:43 information collaborating with it interesting yeah yeah okay i can see it's it's a search engine
00:20:49 collaborator yeah i don't think that it is so i've heard this and run maybe you know more about this
00:20:56 from the show but i've heard that we are technologically speaking a long way away from
00:21:03 quantum computing being a thing which is really what would be required for ai to work at an
00:21:09 efficient level that doesn't destroy the environment or cost so much or have these
00:21:13 huge overlays of investment that that is the stumbling block in what we're talking about
00:21:20 and people envision a world post quantum computing when they have fear of ai yeah but uh last year
00:21:28 in 2025 open ai admitted that its platform now is um talking to itself and building and growing
00:21:38 from itself do you believe that i'm not sure that's what was reported yeah see i don't know
00:21:44 if i do believe that no no i'm actually more on the i'm more towards the professor zhang
00:21:49 which i think quite frankly is is this sort of taps out uh the only real use of it in the end
00:21:58 of the day is for surveillance i think at the end of the day and he's just saying when uh eventually
00:22:04 as you know and i'll what he said the other day when i was listening to it is he said if the u.s
00:22:12 decided to stop silicone the production of silicone and the wafers that go to uh japan
00:22:19 in korea that would be it for semiconductors and without semiconductors the whole experiment would
00:22:26 be done because eventually we had eventually if ai was to proceed any further there would have to
00:22:31 be some robotics right and without robotics so this is the elon musk theory you know i'm going
00:22:36 to make a million robots in a year i'm going to mars all that stuff if that's not going to happen
00:22:41 which it pretty much looks like that's not going to happen then quite frankly
00:22:46 i guess you could have some land-based form of it causing havoc within the world but then at
00:22:53 some point the systems would be shut off they'd go back to manual systems like man is resilient
00:22:58 they would they would basically just pull the plug and go back to manual systems until the
00:23:02 control processes got into place it would be very arduous because people wouldn't know what to do
00:23:08 without looking at their phones all day but quite frankly they would progress again and maybe past
00:23:14 it maybe past it or maybe never go back and get it it might just be a lesson learned and they might
00:23:19 decide that it didn't really provide a lot of value and so but but and then the professor
00:23:27 jang theory is it actually just ends up as surveillance yeah i think just smarter cameras
00:23:33 watching us and that's all it ends up doing i think we get a more vibrant way of communicating
00:23:38 yeah the thing i'm wondering about it actually is this ai spending just a bubble or is it going to
00:23:43 continue and where where is all this money coming from right now i i would love to know why
00:23:49 institutional investors are saying to the market that it's over for ai and that's where all the
00:23:55 money came from i think i don't think this is small this is your mutual fund being put to work
00:24:02 uh or maybe not but it is definitely institutional investors that are at the gate
00:24:08 it's large companies investing to make their stock price go up yeah and as all the makings
00:24:15 of a bubble bond insurance so to speak exactly yeah so you're right i think that a lot could
00:24:21 hang in the balance on this one well history you know we alluded to it earlier history only proves
00:24:27 that it does so you know the bust will happen um where it goes from there and and the geopolitical
00:24:35 system layered onto the economic system is really where the this thing goes so you know we we say it
00:24:41 um or we talked about on the earlier show september 24th we're going to see how the boundaries of the
00:24:48 world change and you have the chinese president visiting the us there's lots of discussions going
00:24:56 on and what's going to happen iran so that whole geopolitical outcome will really be the outcome
00:25:03 for ai also so as things change because if if they do end up nationalizing and that is the the goal
00:25:11 of the united states that changed the whole supply chain of the whole world for everyone so you know
00:25:18 if he says you know if if president trump says to you know a president she you know we're basically
00:25:26 you go back to your country i'll stay here well here's where we'll draw the line they love to
00:25:32 draw those lines on the map and if the lines get drawn and supply chains supply management chains
00:25:40 change then that's really what's going to happen technology will change alongside it
00:25:44 yeah technology and if ai was such a powerhouse that wouldn't be allowed to happen
00:25:49 the markets wouldn't allow it leaders of countries wouldn't allow it it's so funny because everybody
00:25:54 thinks of ai as an american thing well no it's not it's a global thing it really is and what
00:26:00 we're doing with it here and what they're allowed to do with it elsewhere and what we're allowed to
00:26:04 do with it and the brain drain that we have or the brain share we have i think is everything in
00:26:08 this game maybe i'm wrong but is it a is it a geopolitical um casualty in the end i think it
00:26:15 probably is really does so you know and it's happened before and that might be what exacerbates
00:26:20 is the bust of the market so market collapses because the geopolitical system so you know
00:26:28 but i get what you're saying get out of ai and get your money in bitcoin you heard it here first
00:26:34 would i be putting no no no no that's not it i wouldn't be doing that's another show but yeah
00:26:40 gold gold yeah okay gold yeah gold's moving around the world flirt fury what's that silicon get into
00:26:46 silicon right away yeah yeah but it you know it is something to look at i think we have to pay
00:26:51 attention to it it is interesting though you know it came out and right away it's a hoax
00:26:56 yeah it's a hoax yeah well president trump is concerned about his market go he does not want
00:27:06 to be the president that sees the stock market go bust you know he's very proud of the results
00:27:12 of his stock market well he's drained his investment obviously of it he's ready to
00:27:16 move on no but he's very proud you know the markets you know he says when i took office the
00:27:22 you know this is the highest the markets have ever been because i'm you know stimulating trade
00:27:27 if all of a sudden this thing collapses and there's a trillion dollar hit to the economy
00:27:32 it has job implications all these things you know so he you know he is vested to see it go forward
00:27:39 too right he wants it to keep growing and uh regardless of the if there is a security issue
00:27:44 or anything it really is the issue so he does this ahead of many things so i mean fake news
00:27:50 fake news that before you hear anything those guys are liars you know what i mean that was
00:27:55 we've heard this kind of rhetoric from him before but i do think it's because you're right he doesn't
00:28:01 want to be responsible for the market crash and he's probably already got his money out yeah oh
00:28:06 probably but you know manufacturing he's trying to get uh stimulate manufacturing he's trying to
00:28:12 build things in the in the us the last thing he needs is one of his only uh industries that is
00:28:18 growing the collapse on him when he's trying to lift the other ones because then then you're into
00:28:23 a pure bailout of of the economy for the most part because what else real estate's slow
00:28:31 finance well the market does well it trades kind of on its own day
00:28:35 it's everybody's freaking out that ai is going to take their job so he's
00:28:40 popping on that train yeah well i you know that that whole thing i did you ever buy into that see
00:28:47 that is if ai does go forward like they say it's going to go forward i don't think it
00:28:52 removes jobs i don't think it creates new jobs yeah i think it does different jobs different
00:28:57 types of jobs same thing happened with the uh printing press same thing happened with
00:29:02 the personal computer yeah you know it's interesting because jim and i were talking
00:29:06 about this the other day um the car industry you know yeah you know stelantis is pulling out uh
00:29:12 you know canada and quite frank there's a lot of discussion about plants um and then another
00:29:18 company escapes my mind is coming in and they're talking about armored vehicles right yeah so and
00:29:23 but the people the union doesn't want to concede to stellantis leaving and talk about the armored
00:29:31 vehicles right we hate change and we hate change because the skill sets uh to build that vehicle
00:29:38 are much different than the skill sets to build a normal car right so you'd have to retrain people
00:29:43 and the skill set is higher in the i know because my brother-in-law built armor cars um and totally
00:29:49 different oh and it's yeah high tech it's it's very high tech it's actually very uh you know
00:29:56 the welding and all the fabrication is much more uh complicated so you know people do not want to
00:30:02 shift their mind to the fact that they might need to retrain to do those things yeah i get it i get
00:30:07 but unfortunately that is the world we're in right now personal computers that was a great example
00:30:13 so the people that were good at them right away had a leap on it but i'll use them right yeah
00:30:19 but you know the the whole push for like elon musk to computers and to ai and all that other
00:30:25 stuff you need a group of people that would build the robotics engineers you need all those people
00:30:30 who put this that into place now you know is there a case people try to make that there eventually
00:30:36 would replace people and start building themselves i think that's quite you know that's a that's a
00:30:42 real stretch given to your point mike the speed at which we've gone so far on ai if if we really
00:30:49 you know we're you know they're saying the other day we don't know really what powers ai and we
00:30:55 don't want to know what powers the math model and all that stuff yeah maybe that's true i you know
00:31:00 if that's the case would it not have picked up faster i don't know what goes into the remote
00:31:05 control from my cable box so i mean i can't question at this level i mean what's canada
00:31:11 gonna do they've invested recently more in ai are we are we doing this just to be seen as
00:31:18 being in it or are we doing it to actually lead information well i mean if we're in it to lead
00:31:24 we've missed the boat again which is what we do we catch up and say we're going to be the leaders
00:31:29 so i don't know that that's what it feels like to me honestly well we have you know it's
00:31:35 interesting i brought up i brought up blackberry uh earlier in the show and i brought it up because
00:31:40 you know that not kidding that really showed what canadians could do um from a technology
00:31:45 perspective to change the world so we we have done really cool things you know the space needle all
00:31:51 the things we've done we really don't talk about blackberry or sorry uh ai that much we don't talk
00:31:56 about ai we we're starting to a little bit an ai leads really once again if we're the data center
00:32:02 we're not the lead right i think we just want a seat at the table i think sort of when they're
00:32:07 talking to others very much what it feels like but is it in i guess ron where i i kind of comment
00:32:13 right now is it in medical like are we going to pick an industry are we going to try to change it
00:32:18 from a perspective what's the angle on it we haven't really i think that's because ai is not
00:32:23 something you can actually claw into from that degree at this moment i think that bubble probably
00:32:29 has to burst the realities of what it really is and then you'd be displayed and then build then
00:32:35 you can form it yeah like are we gonna but you know from an r d perspective are we going to the
00:32:40 place are we going to be the place where cancer is cured because we we did the ai technology and
00:32:45 research that's where i'd like to you know it would be interesting to see those kind of distinct
00:32:50 plans yeah yeah i'd love to see it okay so what's the vote ai real or bs let's go around the table
00:32:58 real
00:33:00 yes
00:33:03 I'm thinking it's more towards
00:33:06 Professor Zhang
00:33:08 okay
00:33:08 diplomatic