True Patriot Love - June 10, 2026


Are AI Data Centres Canada's next gamble？


Episode Stats


Length

9 minutes

Words per minute

169.92

Word count

1,699

Sentence count

44

Harmful content

Toxicity

6

sentences flagged

Hate speech

2

sentences flagged


Summary

Summaries generated with gmurro/bart-large-finetuned-filtered-spotify-podcast-summ .

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 .
00:00:00.160 as you go up the work pyramid to more elite jobs this is where things get a little bit different
00:00:05.120 a little tricky what is ai going to do if you need 10 accountants in a big company before do
00:00:11.440 you just need two now because of ai if you need if you needed so many legal secretaries lawyers
00:00:17.680 right do you just need a few like so this this really changes
00:00:21.840 a lot of jobs that people were told were bulletproof are not so much bulletproof anymore
00:00:30.000 Love it or hate it, AI is coming into our lives at a rapid pace from data centers to AI in our daily lives.
00:00:38.780 From Shanghai to Regina, from Louisiana to Grand Prairie, Alberta, AI is changing the landscape, not just here in Canada, but around the world.
00:00:47.080 But how will it change the landscape? To talk more about it, thrilled to be joined, as always, by Paul Micucci. Paul, how are you?
00:00:52.720 Hey, Jim, how are you today? Interesting topic, getting a lot of interesting reviews across the United States, as we talked about before the show.
00:01:00.000 uh ronnie chang from the daily show yeah was a brilliant comedian actor yeah he was doing the
00:01:07.060 graduation speech and you know for those of you watching convocations across the united states
00:01:13.940 over the last three weeks which as we know their schools let out earlier than ours they've had
00:01:19.620 these people standing up saying ai is the future and the students have been panning them they've
00:01:25.820 been booing them they've been throwing things at them so ronnie gets up and he says fai and all of
00:01:32.680 harvard the students stand up and start to cheer that this gentleman is panning it so you know
00:01:39.700 there's an interesting dynamic going on between young people who are starting their careers their
00:01:45.640 thoughts on ai and the future of ai because you know you and i jimmy and not that i'm uh i'm hoping
00:01:52.680 we see it but quite frankly i'm pretty sure we're not going to see we're going to see some impacts
00:01:58.280 of ai in our lifetime yeah and you know we talked about some impacts from medical on a small scale
00:02:05.080 and i think we're going to talk about that in a few minutes but what you know we have these
00:02:09.400 software developers going on podcasts talking about the world changing and robots yeah let's
00:02:16.840 play the clip so people know let's so let's go to the clip right now and then you'll understand
00:02:21.320 understand why paul is leading off with this so this is our man from the daily show ronnie
00:02:27.500 doing his thing with our friends at harvard well on the topic of ace by the way um can i just say 1.00
00:02:35.520 ai ai ai ai ai it's stupid it's so stupid have you tried using it it's always wrong 0.99
00:02:49.940 Like I asked AI what's the fastest way to get from New York City to Harvard and it told me to take Flix bus 1.00
00:02:57.300 Look a lot of other respected graduation speakers and colleges around America are talking about you guys needing to master AI for the future
00:03:05.320 Okay, I'm here to tell you the mission of your generation is to destroy AI 0.91
00:03:11.940 Kill it 0.97
00:03:13.860 To accomplish this you'll have to capture and reprogram an AI to be on the side of humanity 0.99
00:03:19.240 then commandeer its own time traveling technology send it back to the past to defeat the current ai
00:03:25.060 before it gains sentience this isn't just graduation day this is terminator 2 judgment day
00:03:31.220 now if you are a young man or woman whose family just spent four or five hundred thousand on a
00:03:39.700 elite college education after for the last 12 months listening to podcasts with people saying
00:03:45.720 by the way your job's gone i can understand that visceral reaction to fai oh yeah oh yeah of course
00:03:52.720 and imagine imagine if you your field was technology but you know all these kids you know
00:03:58.580 i know uh my kids quite frankly as they were you know trying to figure out studying hard trying to
00:04:05.000 figure what to do in school it it basically was going to go into it because there's going to be
00:04:09.900 great jobs in the future in it what and then all of a sudden ai just took your job away and now what
00:04:16.300 now what so quite frankly a robot uh named biff you know who actually can sit at a computer
00:04:23.020 cook me dinner uh we don't need you to actually do programming anymore we don't need programmers
00:04:27.980 anymore we don't need graphic designers did all those jobs that we told these kids to get into
00:04:33.020 so they didn't have to go into the factories um they've been now told are gone and they're going
00:04:38.380 to be replaced because they're the most sedentary routine and now we're telling them to go back
00:04:44.860 go into the factories to do jobs that the robots can't and go learn a trade um you know so you
00:04:53.740 didn't really need to expend the four hundred thousand dollars to be in one of these schools
00:04:59.180 in the u.s you could have quite frankly just gone and got a trade not had to study so hard you could
00:05:05.020 drank beer, smoked weed, quite frankly, saved $400,000, and you'd be basically driving a pickup
00:05:12.260 truck, and you're better off than you are now graduating from Harvard. You know, here's the
00:05:18.140 thing about this whole topic, why we thought it was so important to bring up and talk about today,
00:05:22.120 Paul. Yeah. There's so much unknown. I mean, there's so many conflicting theories and ideas
00:05:28.420 of what AI is going to do and how it's going to change the workforce in North America, in the
00:05:33.580 world that really no one truly knows. The only thing we do know, there's a base foundation of
00:05:39.940 the workforce in North America, and you just touched upon it, trades. Robots can't do your
00:05:47.060 plumbing when you have to fix your toilet and lay copper piping or PVC piping or do the electrical
00:05:53.220 or build a house. That trade work still has to be done. Now, as you go up the work pyramid to
00:06:00.720 more elite jobs this is where things get a little bit different a little tricky what is ai going to
00:06:06.340 do if you need 10 accountants in a big company before do you just need two now because of ai if
00:06:12.760 you need if you needed so many legal secretaries lawyers right do you just need a few like so this
00:06:18.400 this really changes a lot of jobs that people were told were bulletproof are not so much
00:06:23.880 bulletproof anymore yeah exactly so now for a minute let's see let's talk about canada for me
00:06:29.760 Because we've been hearing Kevin O'Leary and a bunch of people.
00:06:34.320 They're here, Jim.
00:06:34.820 And before the show, Jim was taking me through some of the West Coast projects that they're talking about doing, which I find really interesting.
00:06:43.140 And we had the debate before about are these specific data centers that they're talking about billing for specific projects?
00:06:52.540 Because I think we've got to kind of look at AI on two different levels.
00:06:56.920 So, and I look at, you know, the stuff that Elon Musk talking about is revolutionizing the world, you know, creating 3000 robots a year, whatever the crazy 300,000, you know, and then there's creating a data center for medical purposes and creating a data center for specific purposes.
00:07:16.680 Because I think we really got to look at that and say, okay, what is feasible and what is something we can do right now to be beneficial?
00:07:27.160 Yeah.
00:07:27.640 The other stuff, quite frankly, it does.
00:07:30.520 Remember the dot-com?
00:07:31.900 Of course, yes.
00:07:32.680 Yeah, remember the dot-com era?
00:07:34.300 I think it is a lot of dot-coms, and we're going to talk about that in a minute.
00:07:38.220 But when you listen to the chatter about it and the software developers that are coming and talking about how it's going to change the world in the next 36 to five years, 36 months to 60 months, you know, I look at it and think, okay, whatever.
00:07:51.620 But, you know, there are benefits we can get now, which I think are fantastic through AI.
00:07:58.660 And then the other things they're talking about are changing our culture and our economy.
00:08:04.060 I think we have to realistically stop and then talk a little bit about the feasibility.
00:08:09.680 So let's talk about the Canadian project for a minute.
00:08:12.380 There are some big ones that Inc. has been signed, and Premier Moll of Saskatchewan, along with the executives in Bell, Bell Canada.
00:08:20.260 They're building a huge 300-megawatt facility on an empty patch of industrial land south of Regina.
00:08:27.560 So they're building that.
00:08:28.860 TALUS is building one in Kamloops and one in Rimouski, Quebec.
00:08:32.680 Now, there's a company called Digital Realty, which is turning the old Toronto Star printing press off the 407 in Vaughan to a 700,000-square-foot AI-ready facility.
00:08:42.840 So these things are being built, and Mr. Personality himself, Kevin O'Leary, is proposing a $70 billion, 7-gigawatt AI data center campus in Grand Prairie, Alberta.
00:08:55.300 and they're being built.
00:08:57.520 I know Mark Zuckerberg and Facebook is building a massive AI data center
00:09:02.740 in northeast Louisiana, but a lot of these companies are looking at either
00:09:07.140 communities with a lot of empty industrial land that's being unused
00:09:11.660 or buildings that once housed a lot of stuff that isn't being used
00:09:16.600 and they're stepping in and filling the void.
00:09:19.580 Yeah, well, the grid, right?
00:09:22.220 So let's talk about that for a minute.
00:09:23.520 So the Alberta projects, you know, before the show, I took a look at Alberta and I said, okay, what capacity could Alberta really take now?
00:09:32.280 So that's the issue, right?
00:09:34.420 So, and really, they could absorb a cap of 1.2 gigawatts.
00:09:40.660 Right.
00:09:41.840 You know, so that really is a small amount of gigawatts which the grid can absorb.
00:09:46.400 Now, they're talking about building, the interesting thing is they're all talking about building
00:09:50.320 their own hydro, electric generation plants and everything else.
00:09:57.160 Unfortunately, if you really look in.