Today we examine a claim made by Craig Le Claire in his book “Invisible Robots in the Quiet of the Night” that the convergence of technology and life will be here by 2024 and will absolutely alter so many jobs in so many industries.
While examining this claim we also consider what comes after “The Convergence”, namely a “Convergence 2.0” that will potentially remove the necessity of any jobs.
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Welcome to data couture. I’m your host Jordan On today’s episode, we’re going to be talking about the notion of convergence. And what that means. You know, I’m reading an excellent book by a person called Craig LeClaire and the books called invisible robots and the quiet of the night. And in that book, he has a chapter called for convergence. Bring her up, sorry, this is chapter four G’s, convergence, the brains, the physical, and digital worlds together, it’s amazing that I ever actually can read. Nevertheless, there’s one last thing I want to talk about. And that is kind of an exciting announcement, namely, that I will be adding two more episodes each week. So right now, you guys are used to the Monday, Wednesday, Friday sort of thing. But now on Tuesdays and Thursdays, I’m going to be officially launching the YouTube channel with a drivetime type of blog. And so I’ll be driving from my house to work. And during that 18 to 22 minute period, which I’m guessing after editing, the episodes won’t be quite that long. Nevertheless, during that period, I will be talking about at the moment what’s on my mind with respect to data and data culture and the data lifestyle. So get ready for that I don’t have a release date planned yet, but it is coming. If you want to see the intro sequence to the show, you can go up on Facebook or Twitter. Yeah, I think that’s all I posted, but just on those two sites for the show, and you can take a look at it. And while you’re there, be sure to comment what you would think would be a good name for that sequence or not the sequence I guess, but for the series. Right now I’m thinking don’t data and drive or driving while data. I don’t know, I don’t have a great idea in my mind right now. But it’ll be a good tour driving while data. any case, the winning comment, will receive an official set of stickers for the show. So let me know what you think down below in the comments. So let’s get to this episode.
Okay, so welcome to the first part of the show. Now, like I said at the top, we’re going to be talking about convergence. And what that means. And it’s a pretty simple idea. convergence is just the idea that the physical world and the digital world will be brought together and what that means for products for companies for components for equipment, for work sites, factories, but most importantly, the worker. And so what is, I guess commonly thought will happen will be or is that by 2024, our lives will be deeply rooted and some sort of digital interface setup. So for example, in our current world, I mean, we all have smart speakers. And like I’ve said, on a previous couple of episodes, things like the Internet of Things, all of our devices at home will be smart devices, and so will be connected to us through the internet. But it’ll be much deeper than that. It’ll be jobs, it’ll be all of the cars and utilities. it’ll it’ll literally be everything around us. And so this convergence is that point where the level of adoption of all of these interesting, sometimes disparate technologies come together with all of our common current technologies and change to the way we live. The convergence is that point where it happens. So in this book, again, invisible robots in the quiet of the night by Craig LeClaire, specifically his fourth chapter, he goes into a number of careers that aren’t going to do so great. Um, one of them is security and surveillance. The other is elderly assistance. Another one will be the use of commercial office space. Yet another one will be the utility industry, and even like logistics and supply chains, or inventory, supply chain, retail jobs, warehouse, jobs, agriculture, jobs, all these different areas, this convergence moment will have significant negative impacts for them. So what does that mean? I personally think it was a bit negative. But again, Craig is someone significantly smarter than me, and also has significantly more experienced than me in this area. And so I tend to believe them, or at least partially believe him and hope for the best, right? What I want to talk about today is this notion of convergence, because I’ve been thinking quite a bit about some sort of technology, a unifying technology, singularity type moment, that will represent the convergence or I guess, I, you know, been working on how to really phrase what I mean by this, the singular technology that will bring together all these disparate sources of new tech, what I find interesting about Craig’s book is that he details exactly which part of these jobs are going to be replaced by robots or by AI, or by the Internet of Things or by fringe, computing any of these kinds of things, right. Specifically, he says about security, and he does a great job to give case studies of people who are actually in the field, and how this tech is going to significantly impact our jobs. And so in the case of security, he talks about a, I think the range right now is 14,000 to $25,000 annually for this particular job, and it involves quite a few negative points, namely dealing with the public, having people if you happen to do security at a corporate building, or corporate office just to ignore you and be cute or just not play by the rules, or involves long periods of boredom. He predicts that this convergent moment will bring with it difficult reductions in these kinds of jobs, that one, don’t pay much to the people who are doing them, I guess I don’t want to be doing them. I don’t know about that. And three will actually make the situation far more secure for buildings for cities for all this kind of thing. And he suggested a little, or that the convergence will bring this sort of moment, this sort of detrimental moment for the industry, because we’ll have all these sorts of
AI that can predict things that are about to happen can locate suspicious characters. Facial recognition, for example, is a huge topic and source of debate and the news at the moment, and how even the companies who are producing it, the employees are protesting to make sure that governments military units don’t get access to them for malicious, intense, right. So he’s saying that the convergence will bring it about anyways. And because of that our cities, our buildings, everywhere in our life will be much safer. And instead of having multiple security personnel, at every location, you’ll just have to have the sensors and the appropriate types of cameras in order to track the sorts of people so that really, you just need a centralized location of security experts or security personnel instead of lots lots of people all over the place. Convergence, for example, and utilities, this one was a good one, or a good example. And in his book, namely, he had a testimonial from someone who came from the finance industry moved into the to the utilities industry, I think Gas and Electric. And she told a story of how the notion of micro utility, or instead of having one big utility company like pg&e, or any of the others that currently exist, I don’t mean to point out pg&e, but nevertheless, any of the other big technology company or the big utility companies that exists, she points out that so many people in those industries are completely unknowing about how easy it’s going to be to disrupt their particular industry. And so the idea is that there are, I think, 22, I forget what the book said, of different startups that are attempting to leverage the blockchain technology, which again, I’ve talked about this and other episodes to provide micro youtility services to each household, without having this massive kind of four or five major player situation that we have going on. And because of that, well, if I can sell power to my neighbor using the solar panel grid or the Tesla roof for whatever it is that I employee, then why do I need to rely on big company when I can just, you know, pick it up from neighbors around me using the blockchain. So point is, the convergence will bring with it, all of these crazy opportunities, that is very likely to actually do what the news has been saying for years when it comes to scare mongering around AI and machine learning. These kinds of things, robotics, Internet of Things, and actually have a significant impact on our workforce. So that was kind of the the gist of this fourth chapter. And the next section, I want to talk more about the idea that I’m having about this notion of a singularity event, this singular technology that will move in place of all these disparate technologies and how that might lead to convergence, two point O or something. In any case, stay tuned.
Alright, welcome back to section two. So the first we talked about this notion of convergence, ie that of technology and the real world, I suppose, if you want to call it that, coming together. So convergence is non technological pieces and technological pieces, becoming one in a certain sense, or at least closely made it closely related, right. And with Craig’s book, Craig declares invisible robots and quiet night. Again, like I don’t know him. I’ve seen him at a conference once, but I’m really taken by his book anyway. So you should pick it up. In his book, you are at least I explained, that he was taking kind of a dim view of what this convergence will mean for the job sector and for many, many areas, his and professional life. And while I see that is certainly true. There’s also a little bit that he mentions where know will need a lot of people to be able to make the repairs that certain robots or certain sensors predict will happen will need people who can program all these different things will need people to basically do a higher level version of the job that they’re doing now, so that all these great technologies can exist. And so in my mind, the convergence is just a way to push the goalpost back in terms of the sort of jobs people are doing. And of course, as I’ve mentioned, many, many times, this means upscaling re skilling, re learning and academic programs learning the right kinds of things to be prepared for this. But what I’m more interested in in this convergence piece, and as I mentioned in the first or second section, whatever was that of the notion of synchronicity and
the convergence, specter of singularity, and a convergence aspect, I really want to play the song synchronicity, you know, but I don’t know if I get in trouble for it.
Anyways, what I’m trying to explain is, or what I’m trying to wrap my head around is, okay, great. We’re going to have this convergence of these many disparate technologies, and they’re going to become fully integrated and implemented in our lives, from jobs to work, to home to to everything that we do. Well, that’s great. But I see that as a first step towards something more powerful, because like I said, this convergence is just going to push the goalposts back in terms of how it displaces jobs across multiple industries. What I want to know is, well, what about that technology that displaces practically all jobs, maybe with a select few people who have to program or operator, I don’t know, overall maintain the single system. But I’m thinking of a moment where, great we have all these technologies. There’s Internet of Things, edge computing, I think I called it fringe computing earlier, edge computing. We have artificial intelligence, machine learning, predictive analytics, we have smart home devices, we have all sorts of other internet capable and connected things. We have all sorts of statistics running around, we have robots that can do all of these interesting sorts of jobs. Great. But for all that to happen, we’re going to have to have a massive rebuild on our infrastructure, we’re going to like in order to accommodate all of these things to work in harmony, which let’s face it, they’re never going to all work in harmony together. Because they all are coming from different companies, different types of technology, different things, there’s going to have to be this massive effort to have this convergence come into place. But then, once everybody gets really skilled and unskilled, and they learn the appropriate sorts of skills, what’s what’s the next great convergence, maybe convergence 2.0, the singularity that I’m talking about? I’m talking about almost a Skynet scenario. And I think I don’t I don’t want to go Terminator references too much. But I’m thinking, kind of what was another good movie with this kind of idea? I don’t know. Nevertheless, true, a true, a true system that brings together all these technologies into a single platform or a single technology itself. And that one technology does all the monitoring all the sensing all of the repairs, all of the security, it does literally everything for us as humans. And I couldn’t explain I can’t imagine. I guess that deeply what this kind of technology would be because I only have sci fi movie references for what I’m trying to express. But it doesn’t seem too far off to me, does it to you? I mean, I can certainly see it as a real possibility. Now, it doesn’t seem like science science fiction anymore. It seems like literally just convergence. 2.0 It seems like the next thing after our first great convergence of outside technologies with our current lifestyles. And in that case, what do we do then? What what happens when we’ve all retrained? We have all up skilled? Like, how do we upscale for a technology that doesn’t need us? Like that? Just, you know, think of the matrix that didn’t need us other than as a power source? Right? Got it. These are like all these movies are just fear baiting or fear mongering, I guess. I’m thinking of it in a much more utopian view, or at least somewhere between fear mongering and utopian, where we have all these technologies, and they do all the tasks that we don’t want to win that. I mean, like, what’s the purpose of, I guess, anything that we do that’s driven towards economic growth or profit or any sort of capitalists, leanings or even power leanings? Like, what what motive? Do you have to gain more power? Right?
I, I think it would be great for society, we could all then, you know, go to the Euclidean, Euclidean vision, or the Hellenistic view of life, those great philosophers were concerned mostly with thinking the great thoughts and coming up with views on how the world works, or maybe we all do science. So you know, like, maybe it would truly open us up to being truly human. And that’s, that’s the way I, I prefer to look at all these great technologies. It’s a hopeful one, right? I don’t care about to think about how, like naked if it could be because at the end of the day, I want to fight that I want to make sure that everyone has the requisite skill sets to again, meet that second goal post once it moves and still have jobs still have families and careers and be able to get along like we’ve always gotten along. And what I’m hopeful for is that time when we don’t have to do these jobs, we get to do the really deeply interesting things. The truly human things I would claim. You know, that’s where I think convergence two point O or the singularity event or synchronicity.
This is what I think it’s all going to let me know what you think down in the comments. I’d love to hear where you think this is all heading. What’s going to happen to us as a human race as these technologies mature and become more and more complex to the point where they just become a single idea single concept. I’d love to find out. Until next time,
I’ll talk to you later.
That’s it for the show. Thank you for listening. And if you liked what you’ve heard, then consider leaving a comment or like down below. Stay up to date on everything data couture, be sure to follow us on Twitter at data couture pod to consider becoming a firstname.lastname@example.org forward slash data couture. Music for the podcast. It’s called foolish game. God don’t work on commission by the artist spin Meister used under the Creative Commons Attribution 3.0 license, writing, editing and production of the podcast is by your host