WEBVTT

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Hey, good morning, good afternoon, good evening,

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wherever you are in the world. This is John Marchiando,

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and it's time for another episode of the Two

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Guys and a PLC podcast. As always, I'm joined

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by my buddy, Dave Gutshall. Also, good morning,

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good afternoon, good evening. Just a reminder

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out there, this is for entertainment purposes

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only. And all opinions expressed are our own,

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are not reflective of our day jobs, night jobs,

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jobs in between, side hustles, spouses, partners,

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old flames, everybody else that is, might or

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might not be affiliated. Just our own opinions,

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John. Awesome. Awesome. And, you know, one of

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these days we're actually going to need to run

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that by a lawyer to make sure we can say all

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that stuff and still be covered. Yeah, at some

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point I'm going to get a nastigram and then,

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yeah, suddenly it's going to get this – it'll

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be this consistent, really boring, very well

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-articulated statement, which I'm not looking

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forward to that day. No, me neither. But like

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I always say, I never know what you're going

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to say during this part, so it's always humorous.

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Well, John, we've got – I mean, in my opinion,

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I think from maybe a famous – Famousness, is

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famousness a word? From a famousness standpoint,

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I think we have our most famous guest today.

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Well, it's not infamous, even though, you know,

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inflammable means more flammable. Infamous doesn't

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mean more famous. That's right. So, you know,

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those things don't always work. But yeah, he's

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probably the most famous person we've had on.

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For sure. Absolutely for sure. John, I think

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you sent the original invite over to him. So

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why don't you kick it over to him, sir? Yeah,

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sounds good. So I'm pleased to have on the podcast

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someone that is known as the manufacturing millennial,

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Jake Hall. Jake, welcome. Yeah, welcome, man.

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Yeah, it's great to be here, guys. You know,

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when you want to do that, like, you know, reading

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in the beginning, you're probably just going

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to ask ChatGPT to write something up for you,

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and you don't even have to pay a lawyer to do

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it. Nope, nope, nope. This is a human -generated

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podcast with humans talking. No, nope. I'm just

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saying. That's a sore subject these days with

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us. But no, I don't want to go there yet. I don't

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want to go there yet. So, Jake, you and I, we

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have not met, but we come from similar backgrounds,

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right? You're in Michigan. Yes, sir. Okay. And

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you were with Industrial Control at one point

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in your life, right? I was, yeah. So Industrial

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Control, they're a distributor based out of West

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Michigan, Grand Rapids area. I started working

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for them 2013 when I graduated from Grand Value

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State with my engineering degree. Okay. Again,

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I don't think you and I have ever met, but we

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were connected on LinkedIn and swapped some messages

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back and forth a number of years ago. So it's

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good to finally speak with you in this kind of

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format. Yeah, no, looking forward to it, guys.

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Cool. I have all kinds of questions, and we only

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have roughly 40 to 45 minutes, but I'll just

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start with one, and that is, it looks like you

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kind of, you were in the industry for a bit,

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and then you finally said, you know what, I've

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got all kinds of things to say, and I'm going

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to do this cutover, and I'm going to do it right

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in the middle of the pandemic. Yeah, I mean,

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that's... Kind of accurate. I mean, I guess we'll

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dive into it. So the background is I've been

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in manufacturing in some form or capacity for

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about 20 years now. 36 now, started working for

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a manufacturer when, let's see, summer when I

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turned 16, I was a broom boy shop kid working

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at JR Automation at the time, which is much bigger

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now. Oh, yeah. than they were when they were

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back then i think i was employee you know in

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the hundreds range now they're that now they're

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in the thousands with now they're owned by Hitachi

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and they've yeah they've expanded grossly so

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yes so so so so i was working for them when they're

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a much smaller company but Had some great experience

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there in high school, and that really set the

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foundation for saying manufacturing, automation

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is just the coolest thing ever, and that's what

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I want to pursue. So I went to college, Grand

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Valley State University, got a degree in manufacturing

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engineering, and then went to industrial control

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that we talked about earlier. Did that for a

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few years. Went to work for a systems integrator,

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deploying automation solutions. And then pandemic

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happened, and I took that as an opportunity to.

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And to look at, hey, we're all working from home.

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More people are going to be in front of their

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computer than ever before. How do I leverage

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what I'm doing working in business development

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at the time to reach an audience to talk about

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technology, to talk about what the industry is

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doing, the trends that are happening, talk about

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my passion with getting younger generations excited

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about our industry. And from there, it was one

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of those things that kind of just took off in

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a very authentic, non -pushed way. And I realized

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after doing that for about a year, I could really

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make this a full -time job. That's really, really

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cool. I mean, I love the fact that you're you're

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talking about bringing this to the to the younger

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generation. That's one of Dave's passions is

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is coaching and working with young people. So

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that's that's really cool. Yeah, it's it's it's

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such a benefit where you can take a an industry

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that is so impactful and the professional side

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and use that to inspire younger generations to.

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have a career that in many cases would not be

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an opportunity for them. And I think going into

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manufacturing, I think it's what presents the

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most opportunity where you can go into this industry

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at any educational level, at any skill sets level,

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at any passion level, and have a successful career

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into it. Whether you're going into skilled trades

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or engineering or in sales or marketing, that's

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the one thing that's great about the industry

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that I love with manufacturing is there's so

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many different professions that are encompassed

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within manufacturing that it's just it's it gives

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kids so many opportunities for them to have yeah

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well and you know that stat that is flown around

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a good bit that says like you know what i first

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went to school, I think they used to say, you

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know, you'll change career three to five times

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during your career lifetime. And I think the

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stat that I've heard now is it's something like

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10 to 14. And so being able to pivot to your

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point, it's a great entry point to be able to

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pivot from there and kind of do something almost

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completely different, but still attached to something

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where you can build on your previous experiences.

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1000%. Yeah, it's it's such a phenomenal opportunity.

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Jake, you have some awesome videos that you post

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on LinkedIn and I'm sure elsewhere. How do you

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get involved in being able to get access to do

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that? What's the key there? It's a variety of

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stuff. A lot of it comes from the trade shows

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and the events that I go to. Being able to go

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to 65 shows and events a year really opens up.

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the opportunity for me to see a lot of technology

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all in one place and in all different industries

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from food and poultry and packaging to machining

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and fabrication to robotics and automation and

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humanoids, aerospace and defense. You know, you

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get to go into a lot of really cool stuff. A

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lot of the opportunities just because I get to

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meet some pretty cool people online and I get

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to see some really cool stuff. I was speaking

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in. Northeast Pennsylvania last year at NEPIRC

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was an economic support group in Northeast Pennsylvania.

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And they saw that I was coming out there. So

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then the general manager, site manager for a

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Lockheed Martin missile defense facility says,

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hey, you want to come and check out what we're

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doing? And I say, why not? So I was able to go

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out there and look at where they manufacture

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all the launch, all the control systems that

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go into nuclear submarines. and aircraft carrier

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and then also where they make all they were also

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where they manufacture like all the test missiles

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um that go into dry fire test launching you know

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so it's one of those things where a lot of the

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stuff i get to go it is just because i get invited

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to go see really cool technology unfortunately

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i would say probably close to 80 of what i get

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to see personally i can't film or share but you

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know going into a place like um uh it was Wisconsin

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or Minnesota and i got to see a machine that

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manufactures waffles for eggo waffles like that

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type of thing or being able to go out to uh Pennsylvania

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and i got to see where the push -up icy cones

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that you get at baseball parks are made it's

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just one of those things it's just the most random

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stuff is a really cool opportunity to to see

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stuff and and once in a while i I get to film

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it. Fantastic. To your point around the getting

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young people excited, it's that kind of creativity,

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right? Being able to see not just, oh, wow, that's

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a neat widget, but how's the widget actually

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made? What pieces and components and trades went

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together to make that thing? Is it fully autonomously

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made? Maybe assembled? I'll bet you a lot of

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those components have a lot of humans involved

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in the making and the manufacturing process.

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But taking a young person that's inquisitive

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and interested in kind of understanding those

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pieces and really getting them to realize that

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it's not just this hot, dirty, nasty, gross,

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I'd rather be sitting in front of my computer

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doing something else kind of thing. That's I

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feel like that's the gap. And so you being able

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to kind of being out there and evangelizing that

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and saying, look like this, this this is a total

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misunderstanding, mostly a misunderstanding.

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Yeah. And here's the thing. When you look at

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younger generations, the millennial generation

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and the Gen Z generation, those generations are

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really motivated by. personal impact that they

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can have and i think when you look at going to

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work for a manufacturer that makes a product

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that is familiar that impacts people's lives

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that creates good in society you're going to

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attract people who want to come and work for

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you that that's exciting and i think that's one

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of the biggest things i believe our manufacturing

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industry as a whole has really missed out on

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is highlighting the true value and impact that

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we bring to people um Everyone wants to go out

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and have the latest .com or app or AI feature.

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But at the end of the day, the products that

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we use every single day, they're built, they're

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manufactured, they're processed, they're prepared

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for us to eat and use. Those are the types of

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systems that really have a massive impact on

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our daily lives. And in order for us to really

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resonate and reach the next generation, we have

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to show what that brings to them. Yeah, that

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makes a lot of sense on the impact front. I've

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heard versions of that when talking to young

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people after some of the volunteering efforts

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that I've done where, yeah, not just what they're

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doing, but the corporate mission itself. If they're

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working for someone else or working for the company,

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making sure that the way they give back to the

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community aligns with the vision kind of of the

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young person. It's like when I was that age,

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it was like, man, somebody just give me a job.

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I'm going to be thankful that I just have a job.

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Whereas these kids are like, well, hold on a

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second. You know, I'm like, that's my, that's

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my brand. That's, that's me. I don't know. They

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just, they see it so much earlier than I feel

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like me and others of my generation did for sure.

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Well, absolutely. You also look at this, the

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hiring process today, right? For, for, for, for

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decades, it was very much a, going to a company

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and trying to convince them why you should be

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working for them. And I feel like in the last.

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five to 10 years, it's almost been reversed.

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You as an organization need to convince these

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candidates on why they should come and work for

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you. And a lot of that has to do with, I would

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say, is there's a lot more opportunities. There's

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a lot more options. There's a lot more industry

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that exists. When you look at for four or five

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decades, the people who love to design, program,

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work with technology, be on the leading edge,

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manufacturing in many cases was that industry.

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You would go out there to work with the latest

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technology. and systems. Then technology came

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on in the world of digital accessibility. And

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all of a sudden, you have the smartest designers

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and programmers, not necessarily going to work

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in manufacturing, they're going to go out and

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make 2x, 3x working as a software engineer, or

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a computer science programmer for a additional

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company. And all of a sudden, your talent pool

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is a lot smaller to be able to pull people into

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to come to work for you that, you know, it was

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different years ago. Yeah, that talk track opens

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a whole other bunch of different doors from

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the, you mentioned the hiring process specifically

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has changed. It's all automated now. And so there's

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requirements around making sure you know someone

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so that relationships have become so much bigger.

00:13:54.659 --> 00:13:57.879
But I also think we've gotten to this place where

00:13:58.590 --> 00:14:02.610
The way companies go out and recruit and actually

00:14:02.610 --> 00:14:08.929
reach into schools and similar, they're doing

00:14:08.929 --> 00:14:12.509
so in – I feel like there's not enough consistent

00:14:12.509 --> 00:14:16.909
places where the local industry is actually into

00:14:16.909 --> 00:14:19.370
the schools themselves or into the colleges,

00:14:19.549 --> 00:14:23.470
trade schools. There always seems to be a gap

00:14:23.470 --> 00:14:26.070
of you come out with a certificate, you come

00:14:26.070 --> 00:14:29.659
out with a degree. And, you know, you're kind

00:14:29.659 --> 00:14:31.840
of thrown to the wolves like, OK, you know, good

00:14:31.840 --> 00:14:34.480
luck. And it's like, no, no, no, no, no. There

00:14:34.480 --> 00:14:37.740
should be a handoff like, hey, here's our pool.

00:14:37.940 --> 00:14:41.440
This is who is good at what. Here are the local

00:14:41.440 --> 00:14:44.419
industries that need these folks. And oh, by

00:14:44.419 --> 00:14:46.799
the way, we've actually taught them life skills

00:14:46.799 --> 00:14:49.899
on top of it versus the you know, one of the

00:14:49.899 --> 00:14:52.620
common complaints I hear now for companies is.

00:14:53.179 --> 00:14:55.379
you know, the new graduates have, you know, none

00:14:55.379 --> 00:14:57.960
of the skills that we need. Well, that takes

00:14:57.960 --> 00:15:00.320
two to tango. You need to be talking to them

00:15:00.320 --> 00:15:03.490
and making sure that The students are learning

00:15:03.490 --> 00:15:07.490
what you need. Yeah. Understanding what the opportunity

00:15:07.490 --> 00:15:10.049
is, right? Right. That's what it's all about.

00:15:10.350 --> 00:15:13.210
And I would go to the point kind of agreeing

00:15:13.210 --> 00:15:15.769
slash arguing with you is I think that's very

00:15:15.769 --> 00:15:19.029
much a failure on the educational system and

00:15:19.029 --> 00:15:22.330
also a failure on the personal responsibility

00:15:22.330 --> 00:15:25.830
of the individual. Like I chose Grand Valley

00:15:25.830 --> 00:15:29.220
State University. As a Midwest over like a Purdue

00:15:29.220 --> 00:15:32.899
or a U of M or MSU or other places because they

00:15:32.899 --> 00:15:36.259
have a co -op program, which is guaranteed to

00:15:36.259 --> 00:15:40.879
give you three trimesters of experience of working

00:15:40.879 --> 00:15:43.600
in a manufacturing field, doing different positions

00:15:43.600 --> 00:15:48.279
from CAD to PLC programming to business development,

00:15:48.440 --> 00:15:52.539
machine assembly. on the machine shop it gave

00:15:52.539 --> 00:15:55.659
you a full years of experience before you even

00:15:55.659 --> 00:15:58.639
graduated with your degree and then on top of

00:15:58.639 --> 00:16:03.559
that it got you connected to potential professionals

00:16:03.559 --> 00:16:05.820
to hire you after your co -op and then that's

00:16:05.820 --> 00:16:09.000
when you look at it when when i graduated from

00:16:09.000 --> 00:16:12.059
from grand valley in 2013 you know this is coming

00:16:12.059 --> 00:16:16.340
a few years out of out of the um The first downfall,

00:16:16.500 --> 00:16:25.720
we had somewhere around a 95 % professional acceptance

00:16:25.720 --> 00:16:29.820
rate by the graduating engineering class before

00:16:29.820 --> 00:16:34.960
they even got their certificates. Wow. An abnormal

00:16:34.960 --> 00:16:38.940
amount of acceptance because every single manufacturing

00:16:38.940 --> 00:16:41.919
company that wanted to get the best talent was

00:16:41.919 --> 00:16:44.720
plugged right into the university. Yeah. See,

00:16:44.820 --> 00:16:46.279
that's what needs to happen. And you had yeah.

00:16:46.360 --> 00:16:49.240
And you had relational experience to to what

00:16:49.240 --> 00:16:51.440
you were going into. So it made it made perfect

00:16:51.440 --> 00:16:54.259
sense. And so and so the one thing that I look

00:16:54.259 --> 00:16:58.220
at it as when young kids are graduating high

00:16:58.220 --> 00:17:00.000
school, in my opinion, they've truly entered

00:17:00.000 --> 00:17:02.259
adulthood. Now, there's like there's there's

00:17:02.259 --> 00:17:04.299
guidance. But in my opinion, there should no

00:17:04.299 --> 00:17:08.180
longer be, quote unquote, handholding. And so

00:17:08.180 --> 00:17:11.299
what I look at it as if you're going to. go get

00:17:11.299 --> 00:17:13.700
a degree in college. There's a few things you

00:17:13.700 --> 00:17:15.579
need to figure out. One is the degree you're

00:17:15.579 --> 00:17:19.740
actually getting valuable. Two is how are you

00:17:19.740 --> 00:17:21.680
leveraging that degree to figure out what you

00:17:21.680 --> 00:17:23.460
want to do professionally when you graduate so

00:17:23.460 --> 00:17:24.980
you're not a full -time student. And three is

00:17:24.980 --> 00:17:28.359
figuring out before you actually graduate who

00:17:28.359 --> 00:17:30.079
you should be talking with and what you should

00:17:30.079 --> 00:17:34.000
be doing. I feel oftentimes people are looking

00:17:34.000 --> 00:17:36.940
at this process of it's very chapter -based where

00:17:36.940 --> 00:17:39.759
you're going into it and you can't get to the

00:17:39.759 --> 00:17:42.410
next, portion of your career without finishing

00:17:42.410 --> 00:17:45.230
it i think it's one of those things is when you're

00:17:45.230 --> 00:17:47.950
in college why aren't you networking with every

00:17:47.950 --> 00:17:51.690
single association and profession and people

00:17:51.690 --> 00:17:54.849
that you are graduating with to make sure that

00:17:54.849 --> 00:17:57.069
you are professionally connected with them on

00:17:57.069 --> 00:17:59.730
linkedin what so once you graduate you already

00:17:59.730 --> 00:18:03.190
have a rolodex built up of a hundred people exactly

00:18:03.190 --> 00:18:05.869
and it goes back to it's not what you know it's

00:18:05.869 --> 00:18:08.740
who you know as my dad taught me and raising

00:18:08.740 --> 00:18:11.700
me it's that's personal responsibility that's

00:18:11.700 --> 00:18:14.900
not necessarily the responsibility of the university

00:18:14.900 --> 00:18:16.880
but at the same time if you're not challenging

00:18:16.880 --> 00:18:19.380
that university to then give you those benefits

00:18:19.380 --> 00:18:21.579
then why did you pick that one in the first place

00:18:22.200 --> 00:18:24.779
Yeah. And also, I think the guidance counselor

00:18:24.779 --> 00:18:27.339
in high school needs to have a better role because

00:18:27.339 --> 00:18:29.640
my guidance counselor in high school, you know,

00:18:29.640 --> 00:18:32.359
I'm not going to mention her name here, didn't

00:18:32.359 --> 00:18:34.700
do really anything to help me figure out exactly

00:18:34.700 --> 00:18:37.000
where I needed to fit and, you know, what I needed

00:18:37.000 --> 00:18:38.940
to be doing, how I needed to network. None of

00:18:38.940 --> 00:18:41.200
that stuff went on. So and really, I would say

00:18:41.200 --> 00:18:43.599
in college, too, they didn't they say, here's

00:18:43.599 --> 00:18:45.180
here's a place to interview. But that's that's

00:18:45.180 --> 00:18:48.150
really all they do. Yeah. And so that's that's

00:18:48.150 --> 00:18:50.650
where my frustration gets is where we don't have

00:18:50.650 --> 00:18:52.609
this. We don't have that. And I say, OK, but

00:18:52.609 --> 00:18:54.849
how many times were you out there not taking

00:18:54.849 --> 00:18:58.089
personal responsibility for yourself to go out

00:18:58.089 --> 00:19:00.589
and network and find these opportunities versus

00:19:00.589 --> 00:19:03.630
you just chose to say four years of college is

00:19:03.630 --> 00:19:07.289
my party time right off overview? I mean, that's

00:19:07.289 --> 00:19:09.009
obvious. There's a lot more that goes into it

00:19:09.009 --> 00:19:12.650
than that. But from a very high level. The people

00:19:12.650 --> 00:19:16.589
that I graduated with that are very, very successful

00:19:16.589 --> 00:19:21.049
now, they work at NASA. They're head of Walmart.

00:19:21.269 --> 00:19:24.950
I mean, these guys are top, top people. One guy,

00:19:25.250 --> 00:19:28.289
my best friend, we went to – we did high school

00:19:28.289 --> 00:19:30.150
robotics together. He went to a different university,

00:19:30.210 --> 00:19:34.109
but he did all this extra stuff. He's now Capcom

00:19:34.109 --> 00:19:36.859
at NASA. So if you looked at the last – crew

00:19:36.859 --> 00:19:40.079
12 that's cool he's the guy who talks to all

00:19:40.079 --> 00:19:41.720
the astronauts when they're working in space

00:19:41.720 --> 00:19:46.359
and and he didn't do that by not figuring out

00:19:46.359 --> 00:19:49.579
what's planned next for him he was always trying

00:19:49.579 --> 00:19:53.019
to figure out two steps three steps ahead and

00:19:53.019 --> 00:19:54.579
that's just something that this that needs to

00:19:54.579 --> 00:19:57.779
happen yeah use the word rolodex and i just wanted

00:19:57.779 --> 00:20:00.369
to give you kudos that you actually use that

00:20:00.369 --> 00:20:04.009
word. It's funny. You're the second person that

00:20:04.009 --> 00:20:05.710
brought that up this week. When I use that terminology,

00:20:05.769 --> 00:20:07.910
I forget that that's an old terminology, but

00:20:07.910 --> 00:20:10.289
like, I think it, I think it expresses a lot

00:20:10.289 --> 00:20:13.430
more like a Rolodex is like, you have the contact

00:20:13.430 --> 00:20:16.210
information rather than just, Oh, we're connected

00:20:16.210 --> 00:20:19.230
on LinkedIn. Yes. You know? And I think, I think

00:20:19.230 --> 00:20:21.690
that's the difference. I feel like in many ways,

00:20:21.809 --> 00:20:25.390
clicking a follow button to say you're connected

00:20:25.390 --> 00:20:30.039
is a lot different than, I can call up this person

00:20:30.039 --> 00:20:32.299
and I'm 80 % confident they're going to answer

00:20:32.299 --> 00:20:34.279
my phone on the second ring type of scenario.

00:20:35.710 --> 00:20:37.829
I think it has that context. I agree. Yeah, just

00:20:37.829 --> 00:20:39.829
don't connect with me on LinkedIn and then immediately

00:20:39.829 --> 00:20:43.190
send me a sales pitch. No, no. Give me some pleasantries

00:20:43.190 --> 00:20:45.369
first at least. Get to know me a little bit.

00:20:45.430 --> 00:20:47.829
Then, you know, okay, then if you're going to

00:20:47.829 --> 00:20:49.490
sell me something, go ahead and toss it out there.

00:20:49.589 --> 00:20:51.650
But, you know, don't immediately send me a sales

00:20:51.650 --> 00:20:55.069
pitch. That just turns me off. Yeah, if it happens

00:20:55.069 --> 00:20:58.970
in the first 24 hours, you get the de -disconnect

00:20:58.970 --> 00:21:03.329
on LinkedIn. You get banished. But that's the

00:21:03.329 --> 00:21:08.609
guy. I probably get close to, gosh, 150 messages

00:21:08.609 --> 00:21:12.490
a week in LinkedIn just alone. And so I got to

00:21:12.490 --> 00:21:14.509
sit. I get a bunch, too. I get a bunch, too.

00:21:15.750 --> 00:21:18.289
I totally understand. I use it. I mean, I network

00:21:18.289 --> 00:21:21.410
on there. I use it. I have something I do on

00:21:21.410 --> 00:21:23.349
the side and I use it for that. So, yeah, it's

00:21:23.349 --> 00:21:26.950
fun. But, yeah, it's one of those things that

00:21:26.950 --> 00:21:30.130
can be used for the wrong reasons. Yeah, you've

00:21:30.130 --> 00:21:33.589
got to take it strategically. So what kind of

00:21:33.589 --> 00:21:35.109
cool stuff are you going to get ready to get

00:21:35.109 --> 00:21:39.690
into next? Are you going to do videos at NASA

00:21:39.690 --> 00:21:41.589
since you've got a buddy there now? What are

00:21:41.589 --> 00:21:44.390
you going to do next? Well, unfortunately, you

00:21:44.390 --> 00:21:46.490
can't record too much at NASA. If you actually

00:21:46.490 --> 00:21:48.630
go back, I have to go back and look at it. It

00:21:48.630 --> 00:21:51.670
was probably sometime in summer or fall last

00:21:51.670 --> 00:21:56.049
year. I did post some stuff on the Robotics Lab.

00:21:57.130 --> 00:22:00.849
at at whether NASA facilities um which is in

00:22:00.849 --> 00:22:05.289
the same building as the um the giant pool that

00:22:05.289 --> 00:22:07.809
you see in the movies oh yeah like you know uh

00:22:07.809 --> 00:22:11.529
gosh what's the classic uh Armageddon right when

00:22:11.529 --> 00:22:13.170
they're coming down they're training the oil

00:22:13.170 --> 00:22:15.829
the well diggers and the pool you know that famous

00:22:15.829 --> 00:22:17.430
poem sure there's other movies that you know

00:22:17.430 --> 00:22:18.710
but that's the one that immediately comes to

00:22:18.710 --> 00:22:21.000
mind uh was this in Houston Yeah, with Bruce

00:22:21.000 --> 00:22:22.680
Willis. Yeah, that one is in Houston, correct?

00:22:22.880 --> 00:22:25.319
Yep. I grew up in Houston, so I've actually been

00:22:25.319 --> 00:22:27.640
to NASA. Before they walled everything off and

00:22:27.640 --> 00:22:31.319
you couldn't walk around in there, now they keep

00:22:31.319 --> 00:22:33.619
the tour pretty – what's the word I'm looking

00:22:33.619 --> 00:22:35.940
for? Anyway, they don't let you go in a lot of

00:22:35.940 --> 00:22:38.819
places. Before, it was fairly wide open, so it's

00:22:38.819 --> 00:22:40.220
too bad they've changed all that. For those of

00:22:40.220 --> 00:22:42.079
you who are listening, and this is an insider

00:22:42.079 --> 00:22:44.339
bit, before those of you who are listening and

00:22:44.339 --> 00:22:45.660
you're going to Houston and you don't want to

00:22:45.660 --> 00:22:48.359
do the full tour, there is the building where

00:22:48.359 --> 00:22:50.130
you're driving down the road. It's going to be

00:22:50.130 --> 00:22:53.430
on, I think, the east side that houses the Saturn

00:22:53.430 --> 00:22:55.829
V. You could just park right in that little parking

00:22:55.829 --> 00:22:58.569
lot and rock right into the building. Full public

00:22:58.569 --> 00:23:00.750
access right inside that building. You don't

00:23:00.750 --> 00:23:03.670
need any type of a tour or ticket or anything

00:23:03.670 --> 00:23:05.809
like that. You could walk inside that building

00:23:05.809 --> 00:23:09.490
and see the full -blown Saturn V with all the

00:23:09.490 --> 00:23:12.990
stages for free, zero sign -up and all that.

00:23:13.069 --> 00:23:16.009
And don't forget to buy your freeze -dried ice

00:23:16.009 --> 00:23:18.940
cream. And, of course, get your freeze -dried

00:23:18.940 --> 00:23:23.579
ice cream as well. Yes. But what else is going

00:23:23.579 --> 00:23:26.359
on? You know, for me, I'm really excited about...

00:23:27.340 --> 00:23:30.279
2026 because for me there's a lot uh there's

00:23:30.279 --> 00:23:32.740
a lot happening in the industry next week i'm

00:23:32.740 --> 00:23:36.880
heading down to Austin Houston and uh Florida

00:23:36.880 --> 00:23:39.460
for some speaking events and then i have a few

00:23:39.460 --> 00:23:41.579
trips planned out to California the following

00:23:41.579 --> 00:23:45.099
week uh heading to Nvidia GTC which is going

00:23:45.099 --> 00:23:46.500
to be interesting because there's going to be

00:23:46.500 --> 00:23:52.690
some more Discussions and highlights on the humanoid

00:23:52.690 --> 00:23:55.990
robot fad. Oh, yeah. In a lot of ways. So I'm

00:23:55.990 --> 00:23:57.369
looking forward to kind of seeing where we're

00:23:57.369 --> 00:23:59.869
sitting with that. Gosh, we could have an entire

00:23:59.869 --> 00:24:03.549
conversation just on humanoid robots. I'll give

00:24:03.549 --> 00:24:07.109
you the 90 -second Jake Hall philosophy answer

00:24:07.109 --> 00:24:10.670
on humanoid robots. First one, will humanoid

00:24:10.670 --> 00:24:13.579
robots happen? Absolutely, there will be. I think

00:24:13.579 --> 00:24:17.880
by the time my daughter is my age, there will

00:24:17.880 --> 00:24:22.380
be tens of millions of humanoid robots running

00:24:22.380 --> 00:24:25.240
around. Will humanoids be working in manufacturing?

00:24:25.740 --> 00:24:30.200
I don't think at nearly the rate that people

00:24:30.200 --> 00:24:34.299
think it's going to scale. You look at industrial

00:24:34.299 --> 00:24:36.640
robots, right? Industrial robots have been around

00:24:36.640 --> 00:24:41.279
for... gosh 60 years now yeah it's been a long

00:24:41.279 --> 00:24:44.059
time 50 60 years you know i think is when when

00:24:44.059 --> 00:24:46.200
the first one stuff and you know Kawasaki did

00:24:46.200 --> 00:24:48.480
the partnership and went with ford and all that

00:24:48.480 --> 00:24:53.009
um what we're a total global deployment of 3

00:24:53.009 --> 00:24:57.890
million, 4 million -ish. Cobots came out in 2006,

00:24:58.910 --> 00:25:02.769
2007, and they were supposed to be the world

00:25:02.769 --> 00:25:05.829
-changing robotic solution that would deploy

00:25:05.829 --> 00:25:10.269
somewhere around 20 million by... you know, in

00:25:10.269 --> 00:25:12.309
the next 15 years. I think probably globally

00:25:12.309 --> 00:25:16.150
today, I know Universal Robots has publicly announced

00:25:16.150 --> 00:25:18.829
over 100 ,000. I think they're probably closer

00:25:18.829 --> 00:25:21.509
to like 150 now in that range. You look at all

00:25:21.509 --> 00:25:24.630
the other, there's probably maybe 300 ,000, 400

00:25:24.630 --> 00:25:27.730
,000, you know, which is still a lot. Don't get

00:25:27.730 --> 00:25:29.410
me wrong. You know, having, we'll just say, we'll

00:25:29.410 --> 00:25:32.569
just say 500 ,000 globally as a safe number.

00:25:33.230 --> 00:25:35.750
That's nowhere near the 20 million or plus that

00:25:35.750 --> 00:25:38.430
was originally projected to happen by all these

00:25:38.430 --> 00:25:41.069
great, you know, economics and people. I think

00:25:41.069 --> 00:25:43.430
the same thing with humanoids is all of a sudden

00:25:43.430 --> 00:25:45.450
you have a humanoid that's going to be deployed.

00:25:45.549 --> 00:25:48.069
Yes, physical AI and technology is going to make

00:25:48.069 --> 00:25:49.869
them more advanced, but they're not going to

00:25:49.869 --> 00:25:52.630
deploy at anywhere near the rate that I think

00:25:52.630 --> 00:25:55.390
people are thinking from a safety perspective,

00:25:55.589 --> 00:25:57.789
especially. You know, I think there was a survey

00:25:57.789 --> 00:26:01.069
that we did at the A3 Business Forum in January

00:26:01.069 --> 00:26:04.299
earlier this year. four to 500 big professionals

00:26:04.299 --> 00:26:07.160
in the automation robotics space. The general

00:26:07.160 --> 00:26:10.960
consensus was, the question I asked was, when

00:26:10.960 --> 00:26:16.220
do you think there will be 10 ,000 plus working

00:26:16.220 --> 00:26:18.859
humanoid robots in the manufacturing industry?

00:26:19.059 --> 00:26:21.720
And I think the average -ish age was around 25

00:26:21.720 --> 00:26:24.960
years. From now. 25 years from now. 25 years

00:26:24.960 --> 00:26:26.700
from now, okay. There will be 10 ,000 working

00:26:26.700 --> 00:26:29.880
in manufacturing. Now, there's a couple caveats

00:26:29.880 --> 00:26:33.220
to that. I think the one thing that really could

00:26:33.220 --> 00:26:38.240
change that speed up by plus or minus 15 years

00:26:38.240 --> 00:26:44.900
would be like a company like Tesla who's their

00:26:44.900 --> 00:26:48.640
own customer. in a sense right the the the the

00:26:48.640 --> 00:26:54.019
biggest deployment of AGVs are built and worked

00:26:54.019 --> 00:26:57.940
by the same company amazon right amazon is actually

00:26:57.940 --> 00:27:01.779
the world's biggest robotics manufacturer yeah

00:27:01.779 --> 00:27:05.420
they bought kiva a long time ago but you know

00:27:05.420 --> 00:27:07.579
another little Boston company yeah they that's

00:27:07.579 --> 00:27:10.119
that that's been a while you know so so you look

00:27:10.119 --> 00:27:12.539
at that now but oh yeah so that would have been

00:27:12.539 --> 00:27:17.660
2020 2012, they bought them for $700 million

00:27:17.660 --> 00:27:22.059
in cash. So fast forward 14 -ish years from now,

00:27:22.220 --> 00:27:25.980
Amazon has deployed well over a million other

00:27:25.980 --> 00:27:29.019
robots. I think they're probably more than that.

00:27:29.059 --> 00:27:30.420
But they really scaled up during the pandemic.

00:27:30.599 --> 00:27:32.299
The same thing I think you could see happening

00:27:32.299 --> 00:27:34.960
with an organization like Tesla, where Tesla

00:27:34.960 --> 00:27:38.680
has their own... End user based facility where

00:27:38.680 --> 00:27:42.160
you could see the Tesla leadership team really

00:27:42.160 --> 00:27:44.680
push out for deploying a very large scale to

00:27:44.680 --> 00:27:48.220
push up stock prices and deployment. But, you

00:27:48.220 --> 00:27:54.019
know, I really think in many cases we are we're

00:27:54.019 --> 00:27:56.500
going to see it happen. I just don't think we're

00:27:56.500 --> 00:27:59.460
going to see it at the rate that a lot of these

00:27:59.460 --> 00:28:05.779
companies are stating to get larger. VC investments.

00:28:05.920 --> 00:28:08.099
Well, the cost has got to come down. I mean,

00:28:08.119 --> 00:28:10.400
they are, you know, we're talking $100 ,000 per.

00:28:10.599 --> 00:28:13.759
That's, or more. That's ridiculous. Yeah, yeah.

00:28:14.079 --> 00:28:16.420
$100 ,000 in the low end. But, you know, it's

00:28:16.420 --> 00:28:18.519
one of those things where companies have learned

00:28:18.519 --> 00:28:21.240
to scale. I mean, look at Tesla, for example.

00:28:21.500 --> 00:28:23.759
It's just one of those things where you love

00:28:23.759 --> 00:28:25.619
them, you hate them politically, non -politically.

00:28:26.410 --> 00:28:29.609
You got to give the guy props where the guy gets

00:28:29.609 --> 00:28:32.269
stuff done that no one believes that he can get

00:28:32.269 --> 00:28:35.829
done. I mean, one thing after another, this guy

00:28:35.829 --> 00:28:38.369
has done some pretty incredible things from SpaceX

00:28:38.369 --> 00:28:42.950
to the complete redesign of how automotive vehicles

00:28:42.950 --> 00:28:46.450
are manufactured and produced to the massive

00:28:46.450 --> 00:28:49.250
progression when it comes to battery technology.

00:28:50.109 --> 00:28:52.910
Stuff gets done. So I think it's one of those

00:28:52.910 --> 00:28:56.680
things where... There's still a lot of unknowns,

00:28:56.799 --> 00:29:00.680
but very much, I think we're going to have a

00:29:00.680 --> 00:29:06.339
very different society in 30 years because of

00:29:06.339 --> 00:29:08.160
humanoids. Is it going to be good? Is it going

00:29:08.160 --> 00:29:10.259
to be bad? I don't know. I can give you an example.

00:29:10.500 --> 00:29:14.519
Could I go out there and if I could have rented

00:29:14.519 --> 00:29:19.099
a humanoid robot for $2 ,500 a month or $3 ,000

00:29:19.099 --> 00:29:22.000
a month, and that robot could have safely...

00:29:22.569 --> 00:29:26.549
taking care of my grandma in her own home, rather

00:29:26.549 --> 00:29:31.369
than having to go to a care center to have a

00:29:31.369 --> 00:29:33.650
nurse do that for her, I think she would have

00:29:33.650 --> 00:29:38.259
had a much better quality of life. As Dave knows,

00:29:38.299 --> 00:29:41.619
I care for my aging mom, and I get that one.

00:29:41.819 --> 00:29:44.420
That's a good one. I get that one. And so I look

00:29:44.420 --> 00:29:47.599
at it from just a health insurance policy. You

00:29:47.599 --> 00:29:49.599
know how expensive, because you already looked

00:29:49.599 --> 00:29:52.000
at it as well. It's crazy. You know how expensive

00:29:52.000 --> 00:29:57.279
in -home nursing and stuff is. And if we could

00:29:57.279 --> 00:30:00.440
have simply a humanoid robot that could take

00:30:00.440 --> 00:30:03.839
care of the house. do some preparation, take

00:30:03.839 --> 00:30:07.839
care of laundry, be a, be just a, a sense of

00:30:07.839 --> 00:30:10.680
security to make sure that there is something

00:30:10.680 --> 00:30:13.259
that there always is watching her for vitals

00:30:13.259 --> 00:30:15.940
and all that stuff like that. I would, I would

00:30:15.940 --> 00:30:19.259
have paid $3 ,000 in a heartbeat. Like same thing

00:30:19.259 --> 00:30:21.299
with my parents as they get older into 10 or

00:30:21.299 --> 00:30:24.839
15 years, you know what, what that looks like.

00:30:25.440 --> 00:30:28.660
I think anyone would work with insurance to try

00:30:28.660 --> 00:30:33.000
and have a humanoid robot be an in -care service.

00:30:34.099 --> 00:30:36.599
But at the same time, there's a lot of safety.

00:30:36.680 --> 00:30:38.640
There's a lot of risk. There's a lot of stuff

00:30:38.640 --> 00:30:40.839
that is involved that I think really is going

00:30:40.839 --> 00:30:44.240
to slow down the deployment. Yeah, I was going

00:30:44.240 --> 00:30:47.839
to say, that's what's in your mind is pushing

00:30:47.839 --> 00:30:52.299
out the date. It's funny because I feel like...

00:30:53.099 --> 00:30:55.759
That's the version of the corner case. The problem

00:30:55.759 --> 00:30:59.099
is that everyone somewhere has got a corner case

00:30:59.099 --> 00:31:02.839
regularly, and it's those corner cases that are

00:31:02.839 --> 00:31:05.299
really going to kind of prevent the, to your

00:31:05.299 --> 00:31:07.920
point, to prevent that mass adoption. I think

00:31:07.920 --> 00:31:11.420
it's one of the reasons why. like true self -driving

00:31:11.420 --> 00:31:13.859
cars are not where they need to be yet because

00:31:13.859 --> 00:31:17.299
there's corner cases happening all over the world

00:31:17.299 --> 00:31:20.200
all the time. You know, there's times when the

00:31:20.200 --> 00:31:22.299
human's not exactly sure what to do either, but

00:31:22.299 --> 00:31:24.960
it has to make a call. Whereas when the human

00:31:24.960 --> 00:31:29.299
makes the call and it messes up. That's okay.

00:31:29.940 --> 00:31:33.259
Whereas if the humanoid in this case makes a

00:31:33.259 --> 00:31:37.039
call and messes up, that will not be okay. No,

00:31:37.039 --> 00:31:39.359
especially if somebody gets injured or killed.

00:31:39.440 --> 00:31:44.759
Right, exactly. So you have 1X, which is a humanoid

00:31:44.759 --> 00:31:46.460
company coming out of Palo Alto, California,

00:31:46.579 --> 00:31:49.900
that said, hey, you can reserve a robot and pay

00:31:49.900 --> 00:31:51.920
$100 and you can have it deployed in your home

00:31:51.920 --> 00:31:53.740
and you can rent it or do all this stuff. I'm

00:31:53.740 --> 00:31:58.910
like, who? For me as a father who has a five

00:31:58.910 --> 00:32:00.309
-year -old and an eight -year -old at my home,

00:32:00.430 --> 00:32:03.250
I would not trust, because I've been around enough

00:32:03.250 --> 00:32:07.509
humanoid robots who have lost balance, had something

00:32:07.509 --> 00:32:10.930
crazy happen. There's some pretty funny videos

00:32:10.930 --> 00:32:14.630
about that on the internet. I'll just leave it

00:32:14.630 --> 00:32:17.630
there. It's one of those things, it's like, no

00:32:17.630 --> 00:32:22.539
chance. No chance would I risk the safety of

00:32:22.539 --> 00:32:27.119
my family or my wife or when I have older parents,

00:32:27.220 --> 00:32:30.920
you know, for no chance. Because I guarantee

00:32:30.920 --> 00:32:33.960
you as soon as that happens, lawsuits will be

00:32:33.960 --> 00:32:37.440
flying all over the place. And all of a sudden,

00:32:37.519 --> 00:32:40.980
all these companies who have massive valuations,

00:32:40.980 --> 00:32:44.240
could you imagine they deploy five into a home

00:32:44.240 --> 00:32:47.779
and then one kills a two -year -old kid? Oh,

00:32:47.779 --> 00:32:52.920
man. But here's the sad truth of all this. It's

00:32:52.920 --> 00:32:55.940
not if it's going to happen. It's when. It's

00:32:55.940 --> 00:32:58.039
when. When it's going to happen. And I think

00:32:58.039 --> 00:33:00.380
that's just the biggest thing as well. A lot

00:33:00.380 --> 00:33:02.380
of these humanoid companies don't want to happen

00:33:02.380 --> 00:33:05.259
is they don't want to be first. Like, they want

00:33:05.259 --> 00:33:08.599
to deploy first, but they don't want to be the

00:33:08.599 --> 00:33:12.180
one that hits national headlines where a humanoid

00:33:12.180 --> 00:33:15.500
robot kills a kid in their home. Yeah, you don't

00:33:15.500 --> 00:33:19.660
want to be culprit zero, but customer zero, right?

00:33:19.759 --> 00:33:22.900
You don't want to be that guy that's, oh, that's

00:33:22.900 --> 00:33:26.160
what we shouldn't do. And so that's truly where

00:33:26.160 --> 00:33:29.180
I believe we're going to see some of the biggest

00:33:29.180 --> 00:33:33.880
slow -to -deploy solutions that are out there.

00:33:33.940 --> 00:33:37.119
Will it happen eventually? Yes. I think systems

00:33:37.119 --> 00:33:38.740
will get safer. They'll get lighter. They'll

00:33:38.740 --> 00:33:40.539
have additional safety features put in place.

00:33:44.119 --> 00:33:46.140
When I ask these leaders at these humanoid robot

00:33:46.140 --> 00:33:48.220
companies, I say, what are you doing for safety?

00:33:48.299 --> 00:33:51.200
And they say, AI will take care of safety. That

00:33:51.200 --> 00:33:54.259
is the most just, I roll the eyes in the back

00:33:54.259 --> 00:33:56.680
of my head. Yeah, I was going to ask you the

00:33:56.680 --> 00:33:58.819
AI question next. So I guess we're going to kind

00:33:58.819 --> 00:34:01.579
of go there. So keep going. Yeah, that is, if

00:34:01.579 --> 00:34:06.400
you think AI will solve the safety issue of robotics,

00:34:06.579 --> 00:34:09.460
I think personally, that's someone who's answering.

00:34:10.949 --> 00:34:13.329
A, answering it from a person who's never been

00:34:13.329 --> 00:34:15.530
in the industry, actually around deployed automation.

00:34:16.050 --> 00:34:19.309
Yeah. Yeah. Yeah. It's like, as I always talk

00:34:19.309 --> 00:34:22.210
to tell Dave, it's, you know, 5G was going to

00:34:22.210 --> 00:34:24.150
solve world hunger at one point. And, you know,

00:34:24.210 --> 00:34:26.670
it was going to be for every application in automation.

00:34:26.909 --> 00:34:29.469
And I'm sure there are some great ones, but it

00:34:29.469 --> 00:34:31.349
really hasn't taken off like any people expected.

00:34:31.550 --> 00:34:35.789
And so in summary, I always say AI is a tool.

00:34:36.210 --> 00:34:39.170
It's not the solution. And I think too many people

00:34:39.170 --> 00:34:42.630
are planning on AI to be the solution to the

00:34:42.630 --> 00:34:45.670
problems, not a tool to help us get there to

00:34:45.670 --> 00:34:49.710
solve it. I love that. Yeah, that is a great

00:34:49.710 --> 00:34:53.269
way to say it. Yeah, a great way to think about

00:34:53.269 --> 00:34:56.769
that. Yeah, I do think, to your point on that

00:34:56.769 --> 00:34:59.369
front, since we kind of are going down that road,

00:34:59.570 --> 00:35:04.239
I do think, depending upon who you talk to, There's

00:35:04.239 --> 00:35:06.940
not a lot of folks that are, I feel like that

00:35:06.940 --> 00:35:09.460
are in the middle, which is what you just said.

00:35:09.820 --> 00:35:13.960
It's a tool. Everyone is either on the drinking

00:35:13.960 --> 00:35:18.960
the Kool -Aid train or they're in the 100 % skeptic

00:35:18.960 --> 00:35:22.539
camp. Right, exactly. So, you know, I like the

00:35:22.539 --> 00:35:25.039
fact that you're kind of, you're walking the

00:35:25.039 --> 00:35:28.440
road down the middle a little bit. I want to

00:35:28.440 --> 00:35:32.059
bring something up. that came up at the ARC conference

00:35:32.059 --> 00:35:35.480
the other week. And we were debating a little

00:35:35.480 --> 00:35:39.960
bit on one of the AMAs afterwards about kind

00:35:39.960 --> 00:35:47.400
of the problem of AI begins to replace the humans,

00:35:47.659 --> 00:35:49.599
either whether because it's cheaper or because

00:35:49.599 --> 00:35:53.480
it moves the work and the work suddenly can be

00:35:53.480 --> 00:35:57.119
done quicker, faster, cheaper. And the problem

00:35:57.119 --> 00:36:00.559
is, is that Throughout our history, there's always

00:36:00.559 --> 00:36:03.780
been another job along that we can take that

00:36:03.780 --> 00:36:06.800
person and upskill them and retrain them. The

00:36:06.800 --> 00:36:09.139
challenge now is there's going to be a subset

00:36:09.139 --> 00:36:12.920
of folks that there may not be something left

00:36:12.920 --> 00:36:16.480
for them, right? Yeah. And so what's your feeling

00:36:16.480 --> 00:36:19.059
on, and I don't just mean AI here, but I'm even

00:36:19.059 --> 00:36:22.139
talking the humanoid side of things. We've got

00:36:22.139 --> 00:36:24.460
what feels like this sort of vicious spiral.

00:36:25.670 --> 00:36:28.389
The replacement rate in the West is low. We're

00:36:28.389 --> 00:36:31.550
not making as many kids. We don't have enough.

00:36:31.670 --> 00:36:34.869
I mean, you just look to ask any company. Everybody's

00:36:34.869 --> 00:36:37.670
having trouble filling roles. So AI is in some

00:36:37.670 --> 00:36:39.730
respects coming around at the right time because

00:36:39.730 --> 00:36:42.369
we can't find people. But yet this is a vicious

00:36:42.369 --> 00:36:46.010
spiral, right? Yeah, absolutely. Like how do

00:36:46.010 --> 00:36:49.670
you get out? How do we get out of the spiral

00:36:49.670 --> 00:36:52.090
into some future steady state? And what do you

00:36:52.090 --> 00:36:55.670
think that looks like? Dave asks these really

00:36:55.670 --> 00:36:58.670
deep questions, so he's good at this. Before

00:36:58.670 --> 00:37:01.969
we were hopping on, I was talking with Dave and

00:37:01.969 --> 00:37:04.829
John, and this is my last call for the day, so

00:37:04.829 --> 00:37:05.969
I'm sitting at home, so I said, I'm going to

00:37:05.969 --> 00:37:09.369
pour myself a glass of Johnny Walker. I'm going

00:37:09.369 --> 00:37:11.650
to have to pour myself another one after that

00:37:11.650 --> 00:37:15.090
tough question. Yeah, just what you think, man.

00:37:16.949 --> 00:37:20.059
It's one of those things where... Things are

00:37:20.059 --> 00:37:22.119
going to have to change. I don't know what that

00:37:22.119 --> 00:37:23.820
looks like, but I can tell you a couple stuff.

00:37:24.320 --> 00:37:31.760
One is I believe we will see a very large disruption

00:37:31.760 --> 00:37:37.260
in labor markets across the world once humanoid

00:37:37.260 --> 00:37:40.400
robots and once AI happens. I will say, though,

00:37:40.460 --> 00:37:43.880
with that being said, I think manufacturing will

00:37:43.880 --> 00:37:47.460
be one of the least affected. Out of all those

00:37:47.460 --> 00:37:50.719
industries, because I believe it's one that still

00:37:50.719 --> 00:37:54.679
requires some of the most innovative and thought

00:37:54.679 --> 00:37:59.219
process design things that are out there. I think,

00:37:59.300 --> 00:38:01.320
you know, it's so funny when AI came out, everyone

00:38:01.320 --> 00:38:03.820
in manufacturing was worried about losing their

00:38:03.820 --> 00:38:06.039
jobs. Yeah, they were worried first, right? It

00:38:06.039 --> 00:38:08.800
actually affected everyone in the office and

00:38:08.800 --> 00:38:11.820
all the other industries, not in manufacturing,

00:38:11.860 --> 00:38:14.059
where everyone thought. oh, AI is going to take

00:38:14.059 --> 00:38:15.800
all the manufacturing jobs. Actually, no, it

00:38:15.800 --> 00:38:18.099
took a lot of the, you know, office tasks of

00:38:18.099 --> 00:38:20.119
entering data into an Excel sheet, you know,

00:38:20.159 --> 00:38:25.900
for 40 hours. Right. I think we will see a significant

00:38:25.900 --> 00:38:32.300
shift in what people's jobs will be in the future.

00:38:32.599 --> 00:38:35.179
But I could look back. Let me give you an example.

00:38:35.460 --> 00:38:40.489
In 1890. The year 1890 in the United States,

00:38:40.670 --> 00:38:47.710
I believe close to 80 % of the working men classified

00:38:47.710 --> 00:38:51.510
their job as working on a farm. I think today

00:38:51.510 --> 00:38:54.670
it's less than three. Yeah, I would believe.

00:38:54.789 --> 00:38:57.130
I believe that's probably true. And I could be

00:38:57.130 --> 00:38:58.469
wrong with some of those status. If you're looking

00:38:58.469 --> 00:39:00.889
at this, pull up your cell phone. You can check.

00:39:01.090 --> 00:39:03.730
It's right around those numbers. But it's such

00:39:03.730 --> 00:39:09.110
a massive. significant shift right the tractor

00:39:09.110 --> 00:39:11.349
and the combine was going to put everyone out

00:39:11.349 --> 00:39:13.889
of business and no one could do anything anymore

00:39:13.889 --> 00:39:18.530
well here it is it created millions of new opportunities

00:39:18.530 --> 00:39:20.730
for people to be more creative and a bunch more

00:39:20.730 --> 00:39:23.269
industries to pop up which i would argue created

00:39:23.269 --> 00:39:26.269
a better quality of life across the board for

00:39:26.269 --> 00:39:29.849
everybody i think personally for me we will see

00:39:29.849 --> 00:39:34.139
that exact same thing where We will have less

00:39:34.139 --> 00:39:38.699
people doing the jobs we have today, but I think

00:39:38.699 --> 00:39:42.280
we will see a lot of people doing a lot of new

00:39:42.280 --> 00:39:44.480
stuff. For me personally, I don't think that

00:39:44.480 --> 00:39:51.800
will be here on Earth. I am very bullish on space

00:39:51.800 --> 00:39:54.639
colonization going out to space. I'm very bullish

00:39:54.639 --> 00:39:58.840
on it. I think we will see new industries that

00:39:58.840 --> 00:40:02.360
we've never seen before that are opening up.

00:40:02.780 --> 00:40:04.900
thousands and thousands and thousands of new

00:40:04.900 --> 00:40:07.320
job opportunities. The one thing that I will

00:40:07.320 --> 00:40:13.039
say, though, is our current economic and educational

00:40:13.039 --> 00:40:16.869
system will have to change. Because us going

00:40:16.869 --> 00:40:20.269
out and right now sending millions of kids to

00:40:20.269 --> 00:40:24.090
school every year to graduate with $40 ,000 in

00:40:24.090 --> 00:40:27.489
debt to a job with a degree they can't even get

00:40:27.489 --> 00:40:30.530
right now with a job is going to be amplified

00:40:30.530 --> 00:40:33.550
when a whole other labor force comes into place.

00:40:34.130 --> 00:40:37.510
I don't think, in my opinion, I don't think universal

00:40:37.510 --> 00:40:40.710
basic health care is the solution. I don't think.

00:40:41.639 --> 00:40:43.559
I don't think universal basic income is a solution

00:40:43.559 --> 00:40:46.360
either. Yeah, yeah, yeah, yeah. Thank you. I

00:40:46.360 --> 00:40:48.119
don't think universal basic income is a solution.

00:40:48.280 --> 00:40:50.119
I don't think universal basic health care is

00:40:50.119 --> 00:40:52.380
a solution. I don't think robot tax is a solution.

00:40:52.719 --> 00:40:56.400
In my opinion, I am probably, for the people

00:40:56.400 --> 00:40:58.260
that really know me, I'm probably one of the

00:40:58.260 --> 00:41:02.320
most capitalistic, patriotic individuals that

00:41:02.320 --> 00:41:05.039
I love America. I love what America offers, and

00:41:05.039 --> 00:41:08.510
I speak about that every single day. I don't

00:41:08.510 --> 00:41:11.090
think trying to change that is going to change

00:41:11.090 --> 00:41:13.110
the industry because at the end of the day, every

00:41:13.110 --> 00:41:16.690
single country globally is going to be affected

00:41:16.690 --> 00:41:18.849
by this. It's no longer just simply an American

00:41:18.849 --> 00:41:20.929
issue. It's all the other issues that are out

00:41:20.929 --> 00:41:23.750
there. And I think truthfully, I think America

00:41:23.750 --> 00:41:25.369
is going to, in many cases, going to fill up

00:41:25.369 --> 00:41:28.960
the least. China is going to be in a lot more

00:41:28.960 --> 00:41:31.719
hurt than America is going to be. Japan is going

00:41:31.719 --> 00:41:34.780
to be in a lot more hurt than, I mean, America

00:41:34.780 --> 00:41:37.480
is. Here's a really interesting statistic. You

00:41:37.480 --> 00:41:40.420
look at GDP growth of manufacturing for the 20

00:41:40.420 --> 00:41:42.699
largest countries in the world. There's only

00:41:42.699 --> 00:41:45.239
one country that has a negative GDP in manufacturing,

00:41:45.579 --> 00:41:50.219
Japan. So it goes back to a lot of cases where,

00:41:50.460 --> 00:41:53.519
I know I'm going a little bit off tangent, so

00:41:53.519 --> 00:41:57.260
I apologize. No, you're good. No, there's no

00:41:57.260 --> 00:42:01.119
rules. Yeah, right. There is no tangent or off

00:42:01.119 --> 00:42:06.079
tangent. I really think that the humanoid robots

00:42:06.079 --> 00:42:08.099
are going to change a lot. We do. What's going

00:42:08.099 --> 00:42:11.059
to change? I honestly, I have zero clue. How

00:42:11.059 --> 00:42:14.000
are people going to be prepared? be prepared

00:42:14.000 --> 00:42:15.719
to learn and do something differently than what

00:42:15.719 --> 00:42:18.739
you did 20 years ago. And I think that is, you

00:42:18.739 --> 00:42:20.760
know, the key point that I look at it for society

00:42:20.760 --> 00:42:23.699
in general. So many people complain about, well,

00:42:23.719 --> 00:42:25.380
what the robots come, what am I going to do?

00:42:25.440 --> 00:42:27.559
Because I've been doing this job for 20 years.

00:42:27.659 --> 00:42:29.079
I says, well, great. If you've been doing the

00:42:29.079 --> 00:42:31.280
same job for 20 years, you've had plenty of time

00:42:31.280 --> 00:42:33.340
to learn something new because that job hasn't

00:42:33.340 --> 00:42:35.639
been challenging to you for 20 years. Like for

00:42:35.639 --> 00:42:40.500
me, for me, if people take personal responsibility

00:42:40.500 --> 00:42:47.809
to, grow and continuously learn and challenge

00:42:47.809 --> 00:42:52.489
themselves, they shouldn't be worried. I truly

00:42:52.489 --> 00:42:54.690
believe that. And maybe that's just the old school

00:42:54.690 --> 00:42:58.590
of how my father raised me, but I was very much

00:42:58.590 --> 00:43:01.070
raised on the mentality of nothing is given to

00:43:01.070 --> 00:43:04.679
you, everything is earned. And and so for me,

00:43:04.699 --> 00:43:06.119
I think it's the same thing that I think it's

00:43:06.119 --> 00:43:07.679
the tough truth that more and more people are

00:43:07.679 --> 00:43:09.400
going to have to realize. And unfortunately,

00:43:09.800 --> 00:43:14.400
I think it's creating more of a division between

00:43:14.400 --> 00:43:18.840
society more than ever. But that's I guess that's

00:43:18.840 --> 00:43:20.360
that's the best answer I could give you right

00:43:20.360 --> 00:43:21.880
now, because I'm not. No, it was a great answer.

00:43:22.019 --> 00:43:23.840
That was really, really good. I could tell you

00:43:23.840 --> 00:43:25.719
it's going to happen. How do you prepare your

00:43:25.719 --> 00:43:28.179
kids, teach your kids how to be self -learning

00:43:28.179 --> 00:43:31.480
and be ambitious? Always be learning, right?

00:43:31.559 --> 00:43:36.300
Always be learning. Always be curious. And as

00:43:36.300 --> 00:43:39.599
a father, the most important thing in your life

00:43:39.599 --> 00:43:43.260
is to make sure your kids have a better quality

00:43:43.260 --> 00:43:45.820
of life and opportunity than what you did. And

00:43:45.820 --> 00:43:48.400
the rest of the world, with all the other things

00:43:48.400 --> 00:43:50.659
going on, truthfully doesn't matter. Because

00:43:50.659 --> 00:43:52.559
if you raise your kid right and you invest in

00:43:52.559 --> 00:43:56.940
your kid, they'll be fine. Love that. Can we

00:43:56.940 --> 00:44:00.719
put those last three or four things on a plaque?

00:44:00.940 --> 00:44:04.539
Because those are great, right? Always be learning.

00:44:04.780 --> 00:44:07.639
Make sure you're empowering your kids to be able

00:44:07.639 --> 00:44:11.059
to be curious. Go out there and what else did

00:44:11.059 --> 00:44:13.329
you say? Remember, Japan has a negative GDP.

00:44:13.610 --> 00:44:17.030
Yeah. Japan has negative GDP. I was going to

00:44:17.030 --> 00:44:18.409
guess Germany, by the way. I'm probably going

00:44:18.409 --> 00:44:20.309
to get crap for that. I'm sure I'm going to get

00:44:20.309 --> 00:44:23.230
crap for that. Yeah, Germany does have a little

00:44:23.230 --> 00:44:25.150
bit of a growth. Germany does have some growth

00:44:25.150 --> 00:44:28.190
that's happening. But it's one of those things

00:44:28.190 --> 00:44:31.730
where it's very eye -awakening in many cases

00:44:31.730 --> 00:44:34.719
of where we're at with that. Well, dude, I can't

00:44:34.719 --> 00:44:36.940
believe we are just about at the top of the hour.

00:44:37.019 --> 00:44:38.980
We usually go and, you know, this has been fantastic.

00:44:39.239 --> 00:44:41.320
I've got a bunch of other things I want to ask

00:44:41.320 --> 00:44:43.059
you about, like keynote speaking and other stuff

00:44:43.059 --> 00:44:44.940
that I'm not sure we're going to be able to wedge

00:44:44.940 --> 00:44:47.579
in. Well, let's go one more. Let's talk about

00:44:47.579 --> 00:44:49.860
keynote speaking. Let's talk about that. What

00:44:49.860 --> 00:44:51.699
kind of stuff have you – I didn't realize you

00:44:51.699 --> 00:44:52.800
were doing that until I looked at your website

00:44:52.800 --> 00:44:55.780
a couple days ago. What kind of things got you

00:44:55.780 --> 00:44:58.360
interested in that? That's pretty cool. Yeah,

00:44:58.380 --> 00:45:00.320
I mean, for me, the whole keynote speaking thing

00:45:00.320 --> 00:45:03.159
started when I just, I love talking to people.

00:45:03.239 --> 00:45:06.679
I love being up on stage. like people get stage

00:45:06.679 --> 00:45:09.699
fright. I get stage excitement. Like I, my, my,

00:45:09.699 --> 00:45:13.219
my blood, my, my heart starts pulsing going up

00:45:13.219 --> 00:45:15.139
on stage because I'm excited to share what I'm

00:45:15.139 --> 00:45:17.699
passionate about. And there's hundreds of people

00:45:17.699 --> 00:45:19.400
who are trapped in a room to listen to me for

00:45:19.400 --> 00:45:23.860
an hour. I can't get into word at home with my

00:45:23.860 --> 00:45:26.539
wife, but by golly, gee, when I'm in a, when

00:45:26.539 --> 00:45:29.599
I, when I'm at an event, I could talk. Love it.

00:45:29.739 --> 00:45:33.340
Love it. But all seriousness, so the Keto speaking

00:45:33.340 --> 00:45:37.409
theme came literally from the evolution of. Being

00:45:37.409 --> 00:45:40.130
in front of a camera on LinkedIn to get invited

00:45:40.130 --> 00:45:43.690
to then join a webinar to then go and take that

00:45:43.690 --> 00:45:46.190
webinar and make it in person at a trade show

00:45:46.190 --> 00:45:48.909
to then listening to my comments at a trade show

00:45:48.909 --> 00:45:50.630
and saying, hey, do you want to come and talk

00:45:50.630 --> 00:45:53.750
about this on a panel at our association to this

00:45:53.750 --> 00:45:55.389
thing? Well, geez, you are really good on a panel.

00:45:55.570 --> 00:45:58.030
Would you ever want to talk to your talk by yourself

00:45:58.030 --> 00:46:00.329
for, you know, a half an hour to then realizing

00:46:00.329 --> 00:46:04.309
that, OK, I'm actually getting asked quite a

00:46:04.309 --> 00:46:06.920
bit. And then that person came. up to says, well,

00:46:06.960 --> 00:46:09.239
we'll pay you. And then my, then my eyes opened

00:46:09.239 --> 00:46:11.440
up and my ears open. I says, wait a second, you'll

00:46:11.440 --> 00:46:15.079
pay me to talk to you. And then, and then, and

00:46:15.079 --> 00:46:17.059
then it kind of took off from that where, yeah,

00:46:17.219 --> 00:46:20.179
I have, I have an awesome opportunity to go to

00:46:20.179 --> 00:46:25.019
30 or 40 events a year all around the world and

00:46:25.019 --> 00:46:28.530
have conversations around. future workforce,

00:46:28.630 --> 00:46:31.110
my passions with millennials and Gen Zs, talk

00:46:31.110 --> 00:46:33.829
about manufacturing and automation trends, talk

00:46:33.829 --> 00:46:37.349
about what technology is going to be changing

00:46:37.349 --> 00:46:42.190
your company and enable and empower the people

00:46:42.190 --> 00:46:44.070
and the productivity that happens on your floor.

00:46:44.780 --> 00:46:49.079
It's been an incredible journey. And I get to,

00:46:49.099 --> 00:46:51.480
yeah, I get to go to some really cool places.

00:46:51.840 --> 00:46:54.980
And the great thing about keynote speaking is

00:46:54.980 --> 00:46:57.940
typically these are all for annual associations

00:46:57.940 --> 00:47:01.360
or semi -annual. And they really take care of

00:47:01.360 --> 00:47:04.820
their members well. We're like at Bonita Springs

00:47:04.820 --> 00:47:06.820
a couple weeks ago. It was at the Ritz -Carlton

00:47:06.820 --> 00:47:11.659
in Tucson, Arizona. I mean, these places, like

00:47:11.659 --> 00:47:15.010
I've done Banff in Canada. to stay at some of

00:47:15.010 --> 00:47:19.210
the like most beautiful resorts all over the

00:47:19.210 --> 00:47:22.030
world and uh i get paid to be there it's it's

00:47:22.030 --> 00:47:25.369
pretty it's a pretty fun thing very cool very

00:47:25.369 --> 00:47:27.750
cool i hope i hope we get to the point where

00:47:27.750 --> 00:47:29.789
we're doing something similar not necessarily

00:47:29.789 --> 00:47:31.510
in competition with you but you know Dave and

00:47:31.510 --> 00:47:34.909
i have a have a desire to make this thing successful

00:47:34.909 --> 00:47:37.650
and grow it so so well i mean and here's the

00:47:37.650 --> 00:47:39.530
thing as well and i'll say it to you guys because

00:47:39.530 --> 00:47:42.429
the audience can hear it as well there is at

00:47:42.429 --> 00:47:45.300
almost All these trade shows, there is always

00:47:45.300 --> 00:47:49.360
opportunity to submit an abstract, to have a

00:47:49.360 --> 00:47:52.980
panel or a live discussion at these shows. And

00:47:52.980 --> 00:47:56.219
they're all free because they want to fill people

00:47:56.219 --> 00:47:59.659
out, fill people to build out there. They need

00:47:59.659 --> 00:48:01.900
speakers, right? Yeah, they need speakers. But

00:48:01.900 --> 00:48:06.019
it doesn't have to be a 30 -minute or a one -hour

00:48:06.019 --> 00:48:09.119
speaker conversation. It could be John and Dave

00:48:09.119 --> 00:48:13.239
on a stage sharing a microphone. talking about

00:48:13.239 --> 00:48:17.039
here are five takeaways that we had from talking

00:48:17.039 --> 00:48:20.059
with the leading automation experts in the industry.

00:48:20.940 --> 00:48:25.559
Which is you. I'm sure you've had a lot more

00:48:25.559 --> 00:48:30.139
wiser people on the show than I have. Like you're

00:48:30.139 --> 00:48:33.440
humble. Like you're humble. It's okay. But, you

00:48:33.440 --> 00:48:34.880
know, it's one of those things where anyone can

00:48:34.880 --> 00:48:36.400
get out there. If you love talking to people.

00:48:37.070 --> 00:48:40.590
Going in front of applying for abstracts and

00:48:40.590 --> 00:48:43.449
speaking sessions at trade shows are a place

00:48:43.449 --> 00:48:46.849
that I recommend starting because sometimes they'll

00:48:46.849 --> 00:48:50.230
comp your hotel or they'll comp the registrations

00:48:50.230 --> 00:48:52.590
if it's a vet. And it's a great place for you

00:48:52.590 --> 00:48:54.269
to get started, for you to get practice, for

00:48:54.269 --> 00:48:57.630
you to realize that talking on a stage for 45

00:48:57.630 --> 00:49:01.969
minutes or an hour is a lot of material. Oh,

00:49:01.969 --> 00:49:04.289
yeah. It's a lot of material talking for an hour

00:49:04.289 --> 00:49:06.300
straight. I've had people who are like, oh, yeah,

00:49:06.340 --> 00:49:07.760
I'm doing this presentation. They go out there

00:49:07.760 --> 00:49:10.760
and they blow through an hour worth of presentation

00:49:10.760 --> 00:49:14.099
in about 20 minutes. And then they're like, okay,

00:49:14.219 --> 00:49:16.920
well, I'm done. And I'm like, yeah, you did not

00:49:16.920 --> 00:49:19.340
dry run practice that one, I guarantee you. But

00:49:19.340 --> 00:49:22.579
it's a great place. Or they talk faster when

00:49:22.579 --> 00:49:24.940
they're nervous. That doesn't help either. Absolutely.

00:49:25.039 --> 00:49:29.480
You got to put a pulse on you speaking. Yes.

00:49:30.269 --> 00:49:33.389
Cool. Well, Jake, I think officially we are now

00:49:33.389 --> 00:49:36.050
over time. So we're going to thank you, sir,

00:49:36.150 --> 00:49:38.510
so much for your participation. My goodness.

00:49:38.570 --> 00:49:40.809
Thank you, Jake. Like the best conversations

00:49:40.809 --> 00:49:44.110
we always run at a time and have way more topics

00:49:44.110 --> 00:49:46.050
to talk about. And that's kind of where we're

00:49:46.050 --> 00:49:48.730
at with that. Good morning. Good afternoon. Good

00:49:48.730 --> 00:49:52.880
evening from us here at Two Guys and a PLC. send

00:49:52.880 --> 00:49:54.500
us a note let us know what you what else you'd

00:49:54.500 --> 00:49:56.059
like us to talk about or who else you'd like

00:49:56.059 --> 00:49:58.400
us to have on and we'll see you on the next episode

00:49:58.400 --> 00:50:00.739
of Two Guys and a PLC bye everybody bye now