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Speaker 1: So, as you know, we don't just talk politics on

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Speaker 1: the Michael Berry Show. We talk all sorts of things.

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Speaker 1: And I love to talk to business owners, business leaders.

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Speaker 1: See how they arrived where they are in their career,

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Speaker 1: See what decisions they're making today, See what they're what

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Speaker 1: data they're getting, what what trends they're seeing that the

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Speaker 1: rest of us don't see. And most of what we

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Speaker 1: know of what happens in the corporate boardroom, in the

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Speaker 1: in the companies on the warehouse floor is what is

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Speaker 1: reported by the media, and we know from politics that

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Speaker 1: that's not always accurate. So I like to go straight

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Speaker 1: to the source. Oracle is a has a product called

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Speaker 1: net Suite that is for C level executives and they

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Speaker 1: have the cfo's Guide to AI and Machine Learning that

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Speaker 1: you can get at NetSuite, dot com, Forward slash Berry.

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Speaker 1: They love our business stories and we're going to be

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Speaker 1: doing more of them NetSuite dot Com, Forward, slash Berrier's

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Speaker 1: Netsweet by Oracle And what it allows you to do

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Speaker 1: is make decisions faster. Whether you're looking to buy a company,

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Speaker 1: sell a division of your company, you need to close

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Speaker 1: out your books and it's taking months to do that.

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Speaker 1: Quickbrooks worked for you, and then your company grew, and

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Speaker 1: we know how important AI is today. We know how

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Speaker 1: important it is to get data fast. NetSuite dot com

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Speaker 1: forward slash Berry for the cfo's guide to AI and

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Speaker 1: machine learning and find out why over forty one thousand

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Speaker 1: businesses Ramon have upgraded to netsuitet by Oracle Netsweet dot

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Speaker 1: com forward slash Berry. So I thought what we'd do

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Speaker 1: because I'm fascinated, as you know, by the energy industry

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Speaker 1: and we talk about it a lot. A lot of

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Speaker 1: you send me emails from the oil patch, whether you're

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Speaker 1: on an offshore platform or you're in downtown Houston in

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Speaker 1: the c suite of your own company, talking about the

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Speaker 1: energy industry and insights. And I thought, well, who better

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Speaker 1: than rig zone, which is a a at the at

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Speaker 1: the uh, what's the term I'm looking for, the pivot point,

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Speaker 1: the bullpen, you know, the pictures mound of what's going

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Speaker 1: on in in energy. So Chad Norville, their CEO, CFO,

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Speaker 1: c HO, he's everything Ramon. He has every title, he

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Speaker 1: makes a lot of money. He agreed to be our

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Speaker 1: guest and I'm honored that he did.

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Speaker 2: Chad, you don't have to mention the money. I mean,

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Speaker 2: do I have.

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Speaker 1: To do I have to call you, mister Norville? Or

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Speaker 1: can I call you Chad?

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Speaker 2: Chad? Please?

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Speaker 1: Do you have a secretary because people don't have secretaries anymore.

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Speaker 2: No, I don't have a secretary.

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Speaker 1: Do you have an assistant? I?

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Speaker 2: Well, no I don't. Actually I don't have an assistant.

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Speaker 1: You don't have anything. Nope, Man, I have an assistant

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Speaker 1: and I'm nobody.

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Speaker 2: Well you're a little more than that, I think.

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Speaker 1: Does anybody at the company refer to you as mister Norville?

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Speaker 1: Be honest, No, they don't do. Y'all have a mail runner? No,

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Speaker 1: do you have anything we used to have when I

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Speaker 1: started off in business in the early nineties.

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Speaker 2: No, it's technical, it's all. It's all email and and shot.

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Speaker 2: We we have a massive email system. Actually that has

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Speaker 2: taken the place. We send over thirty million emails a month.

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Speaker 1: Well, I know what. That's not as interesting as knowing

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Speaker 1: like if I go to your kitchen on your what

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Speaker 1: floor of what floor are you on in your in

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Speaker 1: your office building?

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Speaker 2: We're on the top floor, the top floor.

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Speaker 1: Oh you heard that? Oh he's kind of does suddenly

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Speaker 1: drop that? In what building?

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Speaker 2: Is it? Uh? We're on two ninety.

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Speaker 1: Okay, if I go into the kitchen, there is there

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Speaker 1: a vending machine or a coke machine? And is the

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Speaker 1: stuff free to employees or do I have to pay

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Speaker 1: for it?

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Speaker 2: It's tree We have cokes and sodas and water machines.

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Speaker 1: Cheed. Can I tell you a quick story before we

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Speaker 1: get into this. Chad Norville is the CEO of rigzone

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Speaker 1: dot com. By the way, So when I was a

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Speaker 1: college student, I had a classmate who was a little

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Speaker 1: older than me named Carl Barris, and Carl was a genius.

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Speaker 1: He was graduating from the University of Houston Engineering School.

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Speaker 1: And let's just say I wasn't an engineer, very very

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Speaker 1: technically smart individual high IQ full scholarship, hold deal. And

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Speaker 1: he was interning and then he had just accepted a

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Speaker 1: job at Compact Computers. Rod Canyon was the CEO at

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Speaker 1: the time, and he gave my wife and I a

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Speaker 1: tour of their campus and he had a fob keeps.

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Speaker 1: The first time I ever saw it was the old

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Speaker 1: white like crowncastle looked like a credit card and he swiped.

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Speaker 1: He wore it around his neck around the lanyard and

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Speaker 1: he swiped it. Now I don't know how old you are,

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Speaker 1: but in nineteen eighty nine or ninety this was a

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Speaker 1: big deal and we went in in the highlight of

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Speaker 1: our tour. We were poor college kids. Was he took

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Speaker 1: us to the kitchen, the employee kitchen, and he goes,

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Speaker 1: you want to coke, and I don't have any. It's free,

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Speaker 1: And I pulled out a cup and I put it

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Speaker 1: under the coke machine and there was like you could

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Speaker 1: make a suicide. We called them a suicide. When I

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Speaker 1: was a kid, you could put coke and doctor pepper

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Speaker 1: and it was free in Chad. To this day, I

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Speaker 1: still think about that, so I'm happy to hear y'all

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Speaker 1: give away free cokes.

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Speaker 2: Yeah, it's amazing that things along your path that really

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Speaker 2: still stand out. I worked at IBM for a while

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Speaker 2: and I went up to armonk which is their headquarters

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Speaker 2: outside of New York City, and was just blown away

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Speaker 2: by the legacy, the breadth of the campus. You know,

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Speaker 2: I've been out to California and seeing the Oracle and

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Speaker 2: all of these massive campuses and just seting IBM annoying

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Speaker 2: the legacy.

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Speaker 1: Then listen, I'm not paying you because you mentioned Oracle

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Speaker 1: in there. If you thought that was a little drop

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Speaker 1: you were going to do and send me an invoice.

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Speaker 1: I'm not doing it.

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Speaker 2: Yeah, I heard you mentioned oricle on that.

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Speaker 3: Wait.

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Speaker 1: So if I had told you when I so politely,

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Speaker 1: I guess emily asked you to do it. But if

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Speaker 1: when I asked you to have a discussion, not an

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Speaker 1: interview of discussion with me, and I told you at

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Speaker 1: the first five minutes I was going to talk about

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Speaker 1: stupid stuff, would you have reconsidered to be honest?

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Speaker 2: I would not have no very down the earth guy.

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Speaker 1: So, uh, how did you end up at rig zone?

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Speaker 1: Let's start there, and then I want to get into

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Speaker 1: the energy industry.

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Speaker 2: Well, I actually was that IBM. I'd worked for AT

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Speaker 2: and T for a while. You know what, Initially, my

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Speaker 2: my family is oil and gas to the core. My

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Speaker 2: grandfather worked at Shell for thirty years and retired in

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Speaker 2: Dear Park. My other grandfather was a local union president

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Speaker 2: pipe fitter in the pipe Fitters union. So I grew

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Speaker 2: up with it. So out of school, I thought I

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Speaker 2: started getting into computers and programming a little bit. And

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Speaker 2: you know, the oil and gas was in the in

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Speaker 2: the in the blood, so I thought I'd maybe do

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Speaker 2: a little programming in learn some ol and gas skills.

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Speaker 2: So I started going to school. I played soccer at

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Speaker 2: first in college and then I transferred back to u H.

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Speaker 1: Col very deleted. Dude, that's a big deal. Any collegiate

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Speaker 1: do was it? D one?

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Speaker 3: Uh?

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Speaker 2: It was No, it was in Ai. This was in

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Speaker 2: the mid nineties.

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Speaker 1: Who did you play at college soccer?

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Speaker 2: It was in Iowa. It was a school in Siux

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Speaker 2: City called Westmore University.

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Speaker 1: Well that's still school.

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Speaker 2: Yeah. The soccer team was amazing that we had six

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Speaker 2: All Americans and our coach was the coach of the

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Speaker 2: sus City Breeze, which was the professional league before MLS.

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Speaker 2: So yeah, fantastic.

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Speaker 1: Were you all American?

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Speaker 2: No? No, everybody but you. Well I was a fullback

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Speaker 2: marking back.

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Speaker 1: Okay, my son plays I played high school soccer and

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Speaker 1: he is a center midfielder. I didn't go up playing soccer.

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Speaker 1: So I have to repeat that to myself, so I

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Speaker 1: remember it because I've had to learn a whole new

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Speaker 1: vernacular that I did not already know, and it doesn't

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Speaker 1: come naturally. You know, you kind of you absorb things

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Speaker 1: about football, whether you played it or not, or baseball

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Speaker 1: or basketball because it's just part of our lingo. But

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Speaker 1: soccer is for an American kid, especially in Southeast texts,

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Speaker 1: not something that you would have known already whole with

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Speaker 1: me for just a moment. Had Norville is the uh

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Speaker 1: Grand Puba of rigzone dot com, and we're going to

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Speaker 1: talk about the energy industry and what's going on. And

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Speaker 1: I gotta tell you, whether you're in Tulsa, Oklahoma, Louisiana, Mississippi,

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Speaker 1: a lot of Florida, Texas and beyond, this is going

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Speaker 1: to be a big part of our economy and it's

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Speaker 1: roaring back. I hope that's what he's gonna say.

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Speaker 3: It's the end of the world as we know it.

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Speaker 1: Michael Berry, ends of the world.

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Speaker 3: Come nil fon.

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Speaker 1: Chad Norville is our guest. He is the CEO of

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Speaker 1: rigzone dot com. And as we look at what's going

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Speaker 1: to happen in the economy, and that means jobs, that

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Speaker 1: means spending, that means optimism. It's Liberation Day as of

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Speaker 1: January twentieth, as our President said, the energy industry is

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Speaker 1: going to be a big part not just for where

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Speaker 1: I live, but of the country's resurgence. And I wanted

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Speaker 1: to go to the source and that's Chadnorville at rigzone

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Speaker 1: dot com to tell us what is happening in the industry,

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Speaker 1: what are you seeing and what do you foresee in

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Speaker 1: the coming year, And I'll hang up and listen.

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Speaker 2: Yeah, of course, so unleashed American energy. Right, It's been

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Speaker 2: a fascinating week, to say the least. We have an

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Speaker 2: editorial team and I talked to editor on Friday and

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Speaker 2: he's icing his hands because he's talking so much. In

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Speaker 2: the last week. There's been so many traumatic changes. These

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Speaker 2: executive orders have unleashed a lot of potential. There's really

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Speaker 2: some fascinating things that are going to help our industry,

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Speaker 2: and I think a couple of them. You know, removing

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Speaker 2: the ban on exports of LERG is critical and we'll

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Speaker 2: have a very quick impact. That was pretty shocking last

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Speaker 2: year whenever the Biden administration suddenly over night chat.

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Speaker 1: I've talked about that, but let me interrupt you. Some

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Speaker 1: people know exactly what you're talking about. And of course

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Speaker 1: Mike Johnson told the story the other day about that.

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Speaker 1: But why don't you explain that to people that don't

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Speaker 1: know and how big a deal that is?

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Speaker 2: Yeah, so you know, certain areas of our country the

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Speaker 2: Marcella shell, for instance, it's massive for natural gas. That's

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Speaker 2: the you know, largest portion of what they do. There,

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Speaker 2: a lot of the fully integrated you know, the drillers.

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Speaker 2: Everyone produces gas in addition to oil. Every all gets

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Speaker 2: the focus all prices. Natural gas is a key component

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Speaker 2: to our industry, very important. It's very important to national security.

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Speaker 2: Our allies rely on it, especially with what's going on

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Speaker 2: in Ukraine. You know, Europe got a lot of their

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Speaker 2: natural gas from Russia. Uh So, whenever Biden's administration did

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Speaker 2: this last year, it you know, it imperiled our allies.

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Speaker 2: That imperiled our national security and ability to help our

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Speaker 2: allies and you know, support our national interests. So in

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Speaker 2: addition to the the heart that it inflicted on the

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Speaker 2: all the companies, you know, from all up and down

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Speaker 2: the chain, from the full multinational fully integrated down to

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Speaker 2: you know, the smaller independence So uh, it was a

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Speaker 2: pretty massive shockwave across the industry. Whenever he did that

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Speaker 2: last year, I think it had a pretty detrimental effect.

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Speaker 2: We saw it last year. I think that was one

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Speaker 2: of the things that really had a pretty negative impact

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Speaker 2: on the industry last year, and we saw it with

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Speaker 2: our job fairs that we do, and all of the

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Speaker 2: key locations you know, started dwindling, and you know, the

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Speaker 2: needs for employees, you know, starts waning. I think that

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Speaker 2: had a pretty significant impact on it. And not to

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Speaker 2: mention it's not just our allies and national security, you

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Speaker 2: know deficits, you know, with with other countries that those

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Speaker 2: deficits are reduced whenever we have significant natural gas you know,

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Speaker 2: flowing out exporting it from the United States, So that

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Speaker 2: doesn't get talked about much, but there's an impact there

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Speaker 2: as well. So yeah, it was dramatic, shocking when he

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Speaker 2: did it. I don't think it got played up near

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Speaker 2: as much as it should have. But you know, I

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Speaker 2: know Rick Perry said that that was one of the

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Speaker 2: things that he was most excited about. I couldn't agree more.

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Speaker 1: Yeah, it's kind of interesting because your industry energy from

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Speaker 1: you know, oil rigs is where we get the rigzone

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Speaker 1: dot Com, which is kind of at the center of

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Speaker 1: the energy industry in your sort of a stock exchange

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Speaker 1: of information for people interested in that sector of the economy,

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Speaker 1: which it's so big, and yet there is so little

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Speaker 1: talk about it. I mean, I guess you know, you'll

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Speaker 1: hear a reference to what the price of gas is

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Speaker 1: at the pump. But there's so much more to it

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Speaker 1: than that, and it's surprising that we don't hear more

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Speaker 1: about that. So let's pivot to where we are. Now,

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Speaker 1: what are you seeing? What are you hearing is already happening,

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Speaker 1: if anything, as a result result of the Trump administration

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Speaker 1: and just as importantly not being the Biden administration.

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Speaker 2: Yeah, so we have two different angles in which we

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Speaker 2: gather information, right, we have our editorial team, which you

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Speaker 2: know focuses almost exclusively on oil and gas in our industry.

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Speaker 2: We talked to, you know, all of the largest players

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Speaker 2: in the analyst side, so you know, Commodities Research at,

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Speaker 2: City Group, Heritage Foundation, American Enterprise Institute, Rice, Commodities Research

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Speaker 2: heads at you know, all the large institutions. You know,

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Speaker 2: we're on the regular basis talking to these folks, getting

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Speaker 2: their analysis, hearing you know what research their teams are

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Speaker 2: putting together and telling clients and large industrial investors. So

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Speaker 2: you know, we get that side, and we get you know,

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Speaker 2: a pretty broad macro oriented view. Ben. You know, we

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Speaker 2: work with all the largest national old companies. You know,

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Speaker 2: over the last ten years we've worked nearly all of them,

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Speaker 2: ninety nine percent of them. Drilling contractors service all the

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Speaker 2: big service companies all the way down to like I said,

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Speaker 2: the small companies. We do advertising and recruitment services for those,

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Speaker 2: you know, all all up and down the chains, so

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Speaker 2: we get their insights too, and we're working with them

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Speaker 2: on job fulfillment, right. We're trying to place candidates for them, professionals,

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Speaker 2: you know, get them out in the ole field or

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Speaker 2: in the patch. So we're getting both sides, and so

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Speaker 2: first and foremost both of them are saying, you know,

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Speaker 2: eat a lotterally that or universally that this unleashed American

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Speaker 2: energy and all of the I think it was six

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Speaker 2: pretty broad executive orders of the forty six, but Trump

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Speaker 2: issued are an overwhelming too. For our industry. It's fantastic,

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Speaker 2: you know. And it's not just everyone focuses on public

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Speaker 2: lands and drilling, and that's important and useful, but it's

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Speaker 2: more of reducing the strain on regulatory impacts for us

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Speaker 2: trying to get permitting. That's important.

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Speaker 1: And what kind of regulatory handcuffs do we see that

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Speaker 1: you would if I made you king for a day

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Speaker 1: and you had no political pressures and no greeny weenies

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Speaker 1: protesting outside your house. What would be some of the

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Speaker 1: low hanging fruit that you'd say, Man, if Trump will

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Speaker 1: just do this, we'll see what. We'll see hiring resume,

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Speaker 1: We'll see drilling resume, we'll see refining resume.

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Speaker 2: I think just the time to get a permit in

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Speaker 2: and of itself, it increased significantly under the Biden administration.

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Speaker 2: That's almost a year now just to get a standard

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Speaker 2: permit that in and of itself, and that is something

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Speaker 2: that they're focused on streamlining the permitting process in and

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Speaker 2: of itself, that singular would be very beneficial.

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Speaker 1: You know what's so funny about that, Chad Norville as

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Speaker 1: our guest, he's the CEO of rigzone dot com, is

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Speaker 1: you see this in real estate. You see communities like

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Speaker 1: Denver where they seemingly California, where they don't want you

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Speaker 1: to build, and the way they do it is they

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Speaker 1: simply slow roll, drag their feet on on on permits,

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Speaker 1: and so you start, you got borrowing costs, or even

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Speaker 1: if you're paying cash, you got money tied up. When

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Speaker 1: you lock down a property and you can't begin to

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Speaker 1: start breaking ground for a year or two, that's money lost.

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Speaker 1: On that that has to be recouped on the back end. Well,

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Speaker 1: I didn't even think about it. But in your business,

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Speaker 1: that's the same thing. If you can't if you can't

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Speaker 1: begin to drill or or whatever that aspect of the

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Speaker 1: energy industry you are, that's a cost that's being passed

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Speaker 1: on to the rest of us. It's jobs that are

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Speaker 1: not being fulfilled. Who's hiring right now? Or is it

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Speaker 1: the independence is the big boys? Is it everybody?

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Speaker 2: Yes, so everyone's hiring, but you know it's not picking

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Speaker 2: up significantly right now. We're seeing a lot of the

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Speaker 2: big places and.

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Speaker 1: I'm sorry, my clock management is worse than less miles.

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Speaker 1: We'll continue our conversation with Chad Norvil on who's hiring

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Speaker 1: right now? Of rigzone dot com, all your energy boys.

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Speaker 4: They remain scared to death of you, and they remain

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Speaker 4: scared to death of Trump the Michael Show.

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Speaker 1: You're not going anywhere even if Trump does, You're not.

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Speaker 1: Chad Norble is our guest. He is the CEO of

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Speaker 1: rigzone dot com. And if you don't know, I'm sure

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Speaker 1: you do. It is a marketplace of information about the

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Speaker 1: energy industry. It is also to my knowledge, he'll correct

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Speaker 1: me if I'm wrong, the largest job placement entity for

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Speaker 1: people in the energy industry. When people are hiring or

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Speaker 1: looking for a job in the energy industry, they go

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Speaker 1: to rigzone dot com. Are y'all the biggest in the space?

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Speaker 2: Yes, we're the largest. We're the largest for jobs and

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Speaker 2: news for the olengas industry.

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Speaker 1: Well, okay, so tell me about you were about to say,

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Speaker 1: who's hiring, and particularly who's hiring. That's a marginal difference

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Speaker 1: from what we saw six months ago. Who's beginning to

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Speaker 1: hire a new or increasing their hiring.

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Speaker 2: Yeah. So I think in general, what we're hearing from

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Speaker 2: the medium to larger sized firms is that they're expecting

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Speaker 2: a relatively flat twenty twenty five relative to twenty twenty four.

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Speaker 2: Like I said, there's a lot of optimism in the marketplace,

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Speaker 2: but there are headwinds, you know. Like I told you earlier,

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Speaker 2: the Trump administration is looking to reduce some of the

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Speaker 2: red tape for permitting and whatnot. But there are other

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Speaker 2: things that have happened that are going to provide legal

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Speaker 2: challenges to that. Last year of the Supreme Court put

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Speaker 2: an end to the Chevron defense. That's pretty challenging because

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Speaker 2: it's going to allow some use to if there was

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Speaker 2: some unclear uncertainty and a law or principle, then the

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Speaker 2: courts would refer to some administrative agency. Now that's not

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Speaker 2: the case anymore. That would have been very beneficial under

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Speaker 2: Trump's unleashed American Energy Policy AJATA. That's not the case

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Speaker 2: necessarily anymore. So there may be legal challenges there. So

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Speaker 2: I feel like the discussions we're having is kind of

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Speaker 2: a wait and see approach. But you know, cautiously optimistic.

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Speaker 2: That's what we're hearing from the larger producers, the medium

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Speaker 2: and smallers. We're hearing more optimism, you know, more near

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Speaker 2: term optimism on hiring, uh, fast tracking projects, you know,

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Speaker 2: getting permits, doing different things of that nature. So as

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Speaker 2: far as who's hiring, that's what we're seeing in the

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Speaker 2: you know, and and it's you know, we operate worldwide,

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Speaker 2: it's different geographically. I'm talking about just the United States.

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Speaker 2: So we're seeing we do job fares and all the

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Speaker 2: key oil and gas markets, you know, Texas obviously, Houston, Midland,

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Speaker 2: we do some in Lafayette for Louisiana. We do some

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Speaker 2: in North Dakota and in Pennsylvania for Marcellas. So what

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Speaker 2: we're seeing is a lot of tech roles filled operations

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Speaker 2: types of roles that those are the things that I've

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Speaker 2: been seeing and I'm still seeing with the job fares

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Speaker 2: that we're putting together now and who we're talking to.

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Speaker 2: You go on rigsone and find a patrol engineer, mechanical,

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Speaker 2: let's go engineer. You know, seeophysical roles, Uh, those are

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Speaker 2: always there, but we see large changes as the cycles change.

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Speaker 2: Right We saw things during the pandemic for instance, it

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Speaker 2: went to a lot of white collar office roles. Uh.

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Speaker 2: Now we're seeing a lot of tech roles, so field

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Speaker 2: service technicians i n e. Technicians that's instrumentation and electrical mechanics.

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Speaker 2: Those are the types of roles right now. We're seeing

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Speaker 2: a lot a lot of instrumentation, a lot of electrical,

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Speaker 2: a lot of valve technicians. Those types of field roles

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Speaker 2: are the things that we're really seeing the most right now.

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Speaker 2: And I'm not seeing any changing that yet, although, like

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Speaker 2: I said, we've talked to some fairly large players that

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Speaker 2: are not signing up for our joffers right now but

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Speaker 2: looking to do, you know, signing up for three or

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Speaker 2: four months down the road. So it feels like there

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Speaker 2: is the wait and see kind of how how are

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Speaker 2: the tariffs going to play out? You know, there's so

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Speaker 2: many positives. Like I said, there's so many uh you know,

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Speaker 2: really three things coming out of the famish American energy policy.

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Speaker 2: But at the same time, there are headwinds potentially out

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Speaker 2: there that you know, when it comes to the massive

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Speaker 2: capital expenditures that some of these companies are responsible for.

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Speaker 2: You know, the risks are potentially reduced, but there's other

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Speaker 2: risks and new variables coming into play. Tariffs on can

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Speaker 2: in Mexico that would be interesting, right, And those people

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Speaker 2: that pull the you know, have access to the first

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Speaker 2: strings and pull those strings at these large companies, you know,

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Speaker 2: billion dollar projects and more. They have to be cautious

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Speaker 2: and see what those impacts are. What is old price

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Speaker 2: going to be? At the end of the day, it's

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Speaker 2: still supply, demand and geopolitics that drives our industry. Price

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Speaker 2: is king and this it's not like it was ten

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Speaker 2: years ago. You know, ten years ago, in the real heyday,

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Speaker 2: we had three times the amount of rigs in the

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Speaker 2: United States that they do now or more. It was

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Speaker 2: all about supply. You know, demand was stable and growing

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Speaker 2: and are we going to be able to make meat supply.

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Speaker 2: Now it has turned on its head and now it's

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Speaker 2: about demand. China's fallen away, you know. There we talked

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Speaker 2: about real estate. Their real estate debacle has really buckled

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Speaker 2: their economy, and so their demand is off. But there

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Speaker 2: are a lot of emerging markets. Demand is not going anywhere.

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Speaker 2: The oil and gas industry is not going anywhere. You know,

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Speaker 2: We're fortunate we have some renewables and such, just so

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Speaker 2: oil is in one hundred and twenty dollars a barrel.

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Speaker 1: Frankly, Yeah, it's uh, it's fascinating. Do you watch LAMB Man,

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Speaker 1: I haven't.

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Speaker 2: I have the whole season recorded. I haven't had then

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Speaker 2: spend a busy start of the year. But we're going

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Speaker 2: out to Midland for a job for the next week,

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Speaker 2: and some of our colleagues out there that we work

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Speaker 2: with have insisted that I watch it before it comes,

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Speaker 2: so it may be on the agenda this week.

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Speaker 1: Okay. I have to warn you because a lot of

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Speaker 1: people in your industry hate it because it's not one

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Speaker 1: hundred percent exact, And I go, look, I watch movies

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Speaker 1: about courtroom lawyers, and I don't go, that's not really

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Speaker 1: what it's like because it would ruin it. Right, cops

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Speaker 1: will tell you that's not really what it's like. So

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Speaker 1: it may that you may have too much information, but

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Speaker 1: I will tell you after sling Blade his finest role,

432
00:23:52,080 --> 00:23:54,960
Speaker 1: and after Friday Night Lights its second finest role, this

433
00:23:55,040 --> 00:23:58,600
Speaker 1: is my third favorite role by Billy Bob Thornton, and

434
00:23:58,680 --> 00:24:03,399
Speaker 1: he is so darn good in this role. It's just

435
00:24:03,680 --> 00:24:07,280
Speaker 1: it's amazing. He's he just nails it. I have so

436
00:24:07,359 --> 00:24:11,399
Speaker 1: many relatives that he reminds me of, Like you wouldn't

437
00:24:11,400 --> 00:24:13,320
Speaker 1: believe chat let me ask you a question. I didn't

438
00:24:13,320 --> 00:24:15,240
Speaker 1: want to interrupt you, which is hard for me because

439
00:24:15,240 --> 00:24:17,600
Speaker 1: I'm an interrupt. Chad Norvil is the CEO of rigzone

440
00:24:17,640 --> 00:24:21,840
Speaker 1: dot com. You mentioned that the job that a lot

441
00:24:21,840 --> 00:24:24,680
Speaker 1: of the jobs that are available now are in instrumentation,

442
00:24:25,520 --> 00:24:29,400
Speaker 1: and I know a little about the industry, and I

443
00:24:29,520 --> 00:24:32,480
Speaker 1: know that my wife was at El Paso Energy and

444
00:24:32,480 --> 00:24:36,240
Speaker 1: and you know twenty five years ago they were using

445
00:24:36,400 --> 00:24:41,680
Speaker 1: technology to open and close valves, which was why Y

446
00:24:41,720 --> 00:24:43,600
Speaker 1: two K was so important to what they were doing.

447
00:24:43,880 --> 00:24:48,240
Speaker 1: But when you look at the role of AI, which

448
00:24:48,280 --> 00:24:52,760
Speaker 1: scares people today, how fast do you think AI is

449
00:24:52,840 --> 00:24:57,439
Speaker 1: going to if at all, is going to replace the

450
00:24:57,600 --> 00:25:04,679
Speaker 1: jobs of people who are reading, calibrating, doing workovers are

451
00:25:04,720 --> 00:25:09,000
Speaker 1: teared out. They're doing things that relate to the instrumentation

452
00:25:09,640 --> 00:25:13,800
Speaker 1: and the importance of that instrumentation. How much in how

453
00:25:13,840 --> 00:25:15,480
Speaker 1: fast do you think that's going to affect that.

454
00:25:18,160 --> 00:25:21,080
Speaker 2: I think it will affect it, But I think it's

455
00:25:21,160 --> 00:25:24,520
Speaker 2: just going to change the mechanisms in which you work

456
00:25:24,560 --> 00:25:27,400
Speaker 2: and operate. And I've seen that in what I do.

457
00:25:28,080 --> 00:25:31,280
Speaker 2: You know, we've released some AI tools onto our website

458
00:25:31,320 --> 00:25:33,120
Speaker 2: as well here in the last two weeks. Actually we've

459
00:25:33,160 --> 00:25:35,520
Speaker 2: been working on them for a year. Uh. They all

460
00:25:35,560 --> 00:25:39,360
Speaker 2: benefit the recruiters in the industry, you know, salary information.

461
00:25:39,720 --> 00:25:42,359
Speaker 2: Go ask for some salary information on Rigson's new AI

462
00:25:42,520 --> 00:25:45,440
Speaker 2: riggs on GPT chatbot and see what you get from it.

463
00:25:45,440 --> 00:25:46,240
Speaker 2: It's fascinating.

464
00:25:46,840 --> 00:25:46,959
Speaker 3: Uh.

465
00:25:47,280 --> 00:25:49,840
Speaker 2: You know, we have looked at a bunch of different

466
00:25:50,840 --> 00:25:54,080
Speaker 2: cover letters over the years, you know, did qualitative maintenance

467
00:25:54,119 --> 00:25:55,760
Speaker 2: on them and found the ones that we thought were

468
00:25:55,800 --> 00:26:01,480
Speaker 2: most accurate and the recruiters would appreciate the outlining how

469
00:26:01,560 --> 00:26:04,320
Speaker 2: our work history would apply most directly to a job.

470
00:26:05,040 --> 00:26:09,000
Speaker 2: And we trained the model an AI model, and now

471
00:26:09,040 --> 00:26:12,240
Speaker 2: we're leveraging that model for our candidates. And the recruiters

472
00:26:12,280 --> 00:26:15,240
Speaker 2: because it's going to highlight for them more effectively and efficiently.

473
00:26:15,760 --> 00:26:17,879
Speaker 2: You know what that candidate is bringing to the table.

474
00:26:18,080 --> 00:26:20,439
Speaker 2: That's live for free now for candidates and what our

475
00:26:20,440 --> 00:26:22,560
Speaker 2: recruiters get whenever they sign up on a rig zone.

476
00:26:22,840 --> 00:26:26,760
Speaker 2: So I'm fully embracing it. I'm more productive now.

477
00:26:26,960 --> 00:26:30,760
Speaker 1: Glen Garry, Glenn Ross ABC. Always be closing. Dude, you're

478
00:26:30,800 --> 00:26:33,159
Speaker 1: throwing the website in there. You're throwing in what y'all do?

479
00:26:33,800 --> 00:26:36,639
Speaker 1: I mean? It's impressive. Hold with me. Chad Norville is

480
00:26:36,680 --> 00:26:39,399
Speaker 1: the CEO of rigzone dot com and obviously did I

481
00:26:39,440 --> 00:26:42,160
Speaker 1: mention he's chief sales officer. Too remote you you could

482
00:26:42,160 --> 00:26:45,920
Speaker 1: appreciate that he doesn't go it's ramone and do stupid ding.

483
00:26:46,000 --> 00:26:47,760
Speaker 1: He just kind of eases it in there.

484
00:26:47,840 --> 00:26:48,280
Speaker 2: Hold on.

485
00:26:53,240 --> 00:26:58,320
Speaker 4: What it's that time time, time, time, luck and load.

486
00:27:01,119 --> 00:27:03,760
Speaker 4: So Michael Arrishow is on the air.

487
00:27:04,040 --> 00:27:06,200
Speaker 1: This town needs an edema.

488
00:27:06,320 --> 00:27:09,880
Speaker 2: The following feature has been rated r it is intention.

489
00:27:09,680 --> 00:27:13,040
Speaker 1: At as our guest, He's the CEO of rigzone dot

490
00:27:13,080 --> 00:27:15,399
Speaker 1: com and if you go to the website you'll see that,

491
00:27:15,440 --> 00:27:19,040
Speaker 1: in addition to be a marketplace from the industry, not

492
00:27:19,119 --> 00:27:22,560
Speaker 1: the outside press, that tends to hate energy, the greeny

493
00:27:22,600 --> 00:27:25,600
Speaker 1: weenies and the left wingers. It is from within the industry.

494
00:27:25,680 --> 00:27:31,040
Speaker 1: It is information about the energy industry. And it's also

495
00:27:31,119 --> 00:27:36,200
Speaker 1: the largest job placement within the industry for all sorts

496
00:27:36,200 --> 00:27:38,560
Speaker 1: of jobs, and they're hiring and that's that was the

497
00:27:38,560 --> 00:27:41,360
Speaker 1: real reason. We reached out to Chadnorville of rigzone dot

498
00:27:41,400 --> 00:27:45,320
Speaker 1: com as part of our business Leader Insight series from

499
00:27:46,080 --> 00:27:49,200
Speaker 1: NetSuite by Oracle and you, as a CFO can get

500
00:27:49,240 --> 00:27:53,399
Speaker 1: their free guide to machine learning and AI and how

501
00:27:53,440 --> 00:27:56,040
Speaker 1: you can use it in your own company at NetSuite

502
00:27:56,080 --> 00:27:58,760
Speaker 1: dot com forward slash Barry my last name. I mean,

503
00:27:58,800 --> 00:28:00,760
Speaker 1: technically you not put my last name in there, but

504
00:28:00,800 --> 00:28:02,000
Speaker 1: you make me look good if you do, and I

505
00:28:02,000 --> 00:28:06,119
Speaker 1: appreciate it. NetSuite dot com forward slash Barry. So you

506
00:28:06,160 --> 00:28:09,560
Speaker 1: were talking about AI and the role of AI, and

507
00:28:09,640 --> 00:28:12,560
Speaker 1: you don't see that replacing a lot of jobs in

508
00:28:12,600 --> 00:28:16,000
Speaker 1: the short run. You see it more as something that

509
00:28:16,240 --> 00:28:19,040
Speaker 1: employees will just have to use as a tool. Is

510
00:28:19,080 --> 00:28:20,080
Speaker 1: that what I'm hearing you say?

511
00:28:20,560 --> 00:28:23,720
Speaker 2: Absolutely? And I can give you an example. Last month,

512
00:28:23,760 --> 00:28:26,920
Speaker 2: I was at the Saudi Aramco Gala for the fiftieth

513
00:28:26,960 --> 00:28:30,320
Speaker 2: anniversary of Aramco America's in Houston. It was a fantastic event.

514
00:28:30,960 --> 00:28:33,000
Speaker 2: I met a gentleman there who leads their data services

515
00:28:33,080 --> 00:28:36,320
Speaker 2: brilliant guy double Master's double POC from MIT. He leads

516
00:28:36,400 --> 00:28:40,040
Speaker 2: data sciences there. You're just fascinating fellow talking to him,

517
00:28:40,120 --> 00:28:42,760
Speaker 2: talking to some other folks at a data science event

518
00:28:42,960 --> 00:28:47,400
Speaker 2: actually last year, and they're using AI for some really

519
00:28:47,440 --> 00:28:50,640
Speaker 2: interesting purposes. One of them I can tell you that

520
00:28:51,000 --> 00:28:54,360
Speaker 2: I thought was interesting is they're using it looking at

521
00:28:54,360 --> 00:28:57,160
Speaker 2: machines to predict when they were going to break down.

522
00:28:57,240 --> 00:29:00,400
Speaker 2: You know, it's cash is king. You need your you

523
00:29:00,440 --> 00:29:04,000
Speaker 2: need to be producing, and so pumps, big machinery that

524
00:29:04,040 --> 00:29:06,760
Speaker 2: they leverage out in the oil field. Being able to

525
00:29:06,760 --> 00:29:08,800
Speaker 2: tell when those things need you know, the appropriate time

526
00:29:08,800 --> 00:29:12,120
Speaker 2: to service them, when the general times that they break

527
00:29:12,160 --> 00:29:14,840
Speaker 2: down under what conditions and what oil fields and you

528
00:29:14,880 --> 00:29:18,760
Speaker 2: know what environment. These AI models that they're developing can

529
00:29:18,800 --> 00:29:21,000
Speaker 2: more accurately do that and it creates more efficiency. So

530
00:29:21,040 --> 00:29:23,040
Speaker 2: you hear everyone say, you know, we don't have as

531
00:29:23,040 --> 00:29:25,440
Speaker 2: many rigs, but they operate more efficiently. This is part

532
00:29:25,440 --> 00:29:27,440
Speaker 2: of why they're operating more efficiently. You know, you hear

533
00:29:27,520 --> 00:29:29,240
Speaker 2: that and you don't know what it means. This is

534
00:29:29,280 --> 00:29:31,520
Speaker 2: what it means. They're bringing AI to bear and that

535
00:29:31,560 --> 00:29:33,160
Speaker 2: doesn't mean it's doing it on its own and a

536
00:29:33,240 --> 00:29:36,719
Speaker 2: robot is bringing it. Back to leadership, there are engineers

537
00:29:36,720 --> 00:29:39,000
Speaker 2: and managers out in the field that they're help using

538
00:29:39,040 --> 00:29:43,040
Speaker 2: AI modeling to optimize wells, and they're responsible for a

539
00:29:43,120 --> 00:29:45,479
Speaker 2: group or a field of wells. They're able to more

540
00:29:45,520 --> 00:29:48,440
Speaker 2: efficiently and effectively look at all of that data, make decisions,

541
00:29:49,200 --> 00:29:52,280
Speaker 2: look at suggestions, look at past experience, and those models

542
00:29:52,280 --> 00:29:55,080
Speaker 2: can look at all of this data significantly more effectively

543
00:29:55,120 --> 00:29:59,719
Speaker 2: than a person could and find patterns, find trends. This

544
00:29:59,800 --> 00:30:02,800
Speaker 2: is what AI is bringing to the industry. Just just

545
00:30:02,880 --> 00:30:06,480
Speaker 2: one example. They're using AI to uh, you know, for

546
00:30:06,600 --> 00:30:10,000
Speaker 2: safety mech you know, processors looking to see if people

547
00:30:10,040 --> 00:30:12,960
Speaker 2: are not wearing hard hats, you know. I mean, it's

548
00:30:13,040 --> 00:30:15,600
Speaker 2: as simple as that. There's a lot of really interesting

549
00:30:15,640 --> 00:30:19,080
Speaker 2: things that AI is actually doing. Everyone sees AI or

550
00:30:19,080 --> 00:30:21,760
Speaker 2: here's it, thinks terminator. No, no, no, you know, we're

551
00:30:21,760 --> 00:30:23,560
Speaker 2: far from there. I'm not saying we're not going to

552
00:30:23,560 --> 00:30:27,320
Speaker 2: get there, but you know, right now, they're really interesting

553
00:30:27,360 --> 00:30:29,280
Speaker 2: tools that we can use to our advantage. I use

554
00:30:30,240 --> 00:30:34,840
Speaker 2: chat GPT to brainstorm and as you ask for an assistant.

555
00:30:34,880 --> 00:30:37,680
Speaker 2: I'll need one because I have these AI tools now

556
00:30:37,680 --> 00:30:40,760
Speaker 2: to create frameworks for code whenever I need it. Give

557
00:30:40,800 --> 00:30:41,920
Speaker 2: an example, Give.

558
00:30:41,640 --> 00:30:43,480
Speaker 1: Me a project you were working on where you did that.

559
00:30:43,520 --> 00:30:45,240
Speaker 1: Because I'm not I'm not a big tech person, but

560
00:30:45,280 --> 00:30:47,880
Speaker 1: I understand how it can be. Give me a real

561
00:30:47,920 --> 00:30:49,600
Speaker 1: life example of when you used it recently.

562
00:30:51,000 --> 00:30:53,880
Speaker 2: So just writing queries, I can tell it what the

563
00:30:54,000 --> 00:30:57,680
Speaker 2: data structures look like and give them, you know, the

564
00:30:57,720 --> 00:31:01,160
Speaker 2: information that shows them what data on dealing with. Tell

565
00:31:01,200 --> 00:31:03,880
Speaker 2: them what's there, and you know, the more experience you

566
00:31:03,880 --> 00:31:06,400
Speaker 2: have with it, and the more detailed and the better

567
00:31:06,520 --> 00:31:09,280
Speaker 2: the question if you will to the AI, the better

568
00:31:09,360 --> 00:31:12,360
Speaker 2: sponsor you're going to get. So a very detailed set

569
00:31:12,360 --> 00:31:15,160
Speaker 2: of information with guidelines or rules. I gave it that,

570
00:31:15,240 --> 00:31:17,080
Speaker 2: and it was able to write a query that might

571
00:31:17,120 --> 00:31:20,080
Speaker 2: have taken me forty five minutes of you know, ironing

572
00:31:20,120 --> 00:31:23,360
Speaker 2: and ironing out and tweaking. It was able to do

573
00:31:23,560 --> 00:31:27,120
Speaker 2: almost instantaneous. Now I've not got one piece of code

574
00:31:27,200 --> 00:31:29,640
Speaker 2: or anything back from any of the big apps, and

575
00:31:29,680 --> 00:31:32,240
Speaker 2: I use the big three AI tools from Google, Tragedy

576
00:31:32,240 --> 00:31:35,440
Speaker 2: two and profit. I'm not getting anything that's not wrong

577
00:31:35,480 --> 00:31:37,120
Speaker 2: on the first go. You have to look at it.

578
00:31:37,240 --> 00:31:40,040
Speaker 2: You have to supervise the work, and I have to

579
00:31:40,120 --> 00:31:43,520
Speaker 2: change something on every piece. But it's giving me the

580
00:31:43,560 --> 00:31:46,760
Speaker 2: head start. It's doing, you know, forty percent minimum of

581
00:31:46,800 --> 00:31:49,800
Speaker 2: the foundation of the core code, the framework, and I

582
00:31:49,840 --> 00:31:52,040
Speaker 2: ask it for framework more in anything, and then I'll

583
00:31:52,040 --> 00:31:55,600
Speaker 2: fill in the you know, the pieces that that I

584
00:31:55,640 --> 00:31:57,360
Speaker 2: know it's not going to do because it doesn't have experience,

585
00:31:57,360 --> 00:32:00,640
Speaker 2: it doesn't know that data like I do. But that's

586
00:32:00,680 --> 00:32:04,240
Speaker 2: just one example, you know, just brainstorming anything, any types

587
00:32:04,280 --> 00:32:06,000
Speaker 2: of ideas. You know, I was talking about AI on

588
00:32:06,040 --> 00:32:09,120
Speaker 2: the rigsone. You know, we're looking at putting larding pages

589
00:32:09,160 --> 00:32:13,400
Speaker 2: together around that to show people. You know, like I said, salary, Well,

590
00:32:13,640 --> 00:32:15,680
Speaker 2: people can't go and think on their own what's asked, Well,

591
00:32:15,680 --> 00:32:18,480
Speaker 2: we'll prevent will present them a bunch of salary information.

592
00:32:18,560 --> 00:32:21,320
Speaker 2: Bulthure recruiters that are using our fight are using our

593
00:32:21,320 --> 00:32:24,640
Speaker 2: recruitment services and for our candidates, just to get an

594
00:32:24,680 --> 00:32:26,640
Speaker 2: idea of kind of what are ranges looking like for

595
00:32:26,680 --> 00:32:29,000
Speaker 2: this type of role. What does entry level, what does experience,

596
00:32:29,040 --> 00:32:32,720
Speaker 2: mid level or senior? You know, we'll generate all of

597
00:32:32,720 --> 00:32:34,360
Speaker 2: that and create it for them. So I was looking

598
00:32:34,360 --> 00:32:36,080
Speaker 2: at categories you know, I had my idea of what

599
00:32:36,120 --> 00:32:37,720
Speaker 2: they could be. Hey, what are some other ones? I

600
00:32:37,760 --> 00:32:42,120
Speaker 2: may be overlooking right again? As a brainstorming tool, it's

601
00:32:42,160 --> 00:32:42,800
Speaker 2: it's brilliant.

602
00:32:43,040 --> 00:32:45,000
Speaker 1: Well, I don't want to sound like a shameless shield

603
00:32:45,000 --> 00:32:47,480
Speaker 1: for the folks who love our business series at Oracle,

604
00:32:47,520 --> 00:32:50,280
Speaker 1: but as you know, that's what NetSuite does is a

605
00:32:50,360 --> 00:32:54,840
Speaker 1: CFO needs information and making sense of data. And so

606
00:32:55,200 --> 00:32:57,520
Speaker 1: I'm not a person who uses that, but I am

607
00:32:57,560 --> 00:33:00,360
Speaker 1: a person who has people who use that. When I

608
00:33:00,400 --> 00:33:04,880
Speaker 1: asked my CPA at Deroch Partners, hey can you tell

609
00:33:04,920 --> 00:33:07,600
Speaker 1: me what I should be paying this employee for this level?

610
00:33:07,960 --> 00:33:11,080
Speaker 1: They can pull data in a much faster that is,

611
00:33:11,160 --> 00:33:13,600
Speaker 1: actual data from real data sets and make some sense

612
00:33:13,640 --> 00:33:15,760
Speaker 1: of it in so many different ways for me to

613
00:33:15,760 --> 00:33:18,520
Speaker 1: make better decisions. And so I think that's what people.

614
00:33:19,000 --> 00:33:22,320
Speaker 1: You know, I was originally afraid of AI because you know,

615
00:33:22,440 --> 00:33:25,160
Speaker 1: there's all the robot movies, but it's going to happen

616
00:33:25,200 --> 00:33:26,920
Speaker 1: one way or another, and it's a question of using

617
00:33:27,000 --> 00:33:28,640
Speaker 1: it as a tool. I mean, I don't know how

618
00:33:28,640 --> 00:33:30,640
Speaker 1: old you are. I'm fifty four. When I was a kid,

619
00:33:30,680 --> 00:33:32,920
Speaker 1: we were so afraid of technology because technology was going

620
00:33:32,960 --> 00:33:35,800
Speaker 1: to be awful. But in most cases technology has made

621
00:33:35,800 --> 00:33:36,560
Speaker 1: my life easier.

622
00:33:36,800 --> 00:33:36,960
Speaker 2: Right.

623
00:33:37,160 --> 00:33:39,400
Speaker 1: We bitch about cell phones, but I can call my

624
00:33:39,480 --> 00:33:41,800
Speaker 1: wife while I'm driving home and say, honey, I'll be

625
00:33:41,840 --> 00:33:44,200
Speaker 1: home in twenty minutes, and she says, oh great, I

626
00:33:44,240 --> 00:33:46,400
Speaker 1: can put the cornbread in, whereas I don't have to

627
00:33:46,440 --> 00:33:48,120
Speaker 1: wait to get there. And I mean it's little things,

628
00:33:48,120 --> 00:33:50,000
Speaker 1: but it matters, right, Yeah.

629
00:33:49,840 --> 00:33:51,640
Speaker 2: Of course. It's what Bill Gates said right when you're

630
00:33:51,680 --> 00:33:54,320
Speaker 2: talking about the Internet in his early landmark book. You know,

631
00:33:54,360 --> 00:33:56,120
Speaker 2: it's like it's going to wash over the world like

632
00:33:56,160 --> 00:33:59,360
Speaker 2: a wave, and it has all technology. Does that let

633
00:33:59,400 --> 00:34:02,240
Speaker 2: put the iPhone like what social media has done. You know,

634
00:34:02,360 --> 00:34:04,880
Speaker 2: not always sometimes it is to the detriment, but in

635
00:34:04,920 --> 00:34:09,600
Speaker 2: general it makes data accessible, and data is the big differentiator.

636
00:34:09,760 --> 00:34:12,880
Speaker 2: You talked about netswite. I can tell you just talking

637
00:34:12,920 --> 00:34:14,399
Speaker 2: to the folks that are RANKO on others that are

638
00:34:14,480 --> 00:34:19,200
Speaker 2: leveraging AI for you know, field operations for optimization out

639
00:34:19,239 --> 00:34:21,120
Speaker 2: in the field, and wells and drilling and you know

640
00:34:21,280 --> 00:34:23,480
Speaker 2: geophysical where are we going to drill? All of these

641
00:34:23,520 --> 00:34:26,560
Speaker 2: types of things. One thing that's really important that data

642
00:34:26,600 --> 00:34:29,120
Speaker 2: scientists are doing is they're not spending as much time

643
00:34:29,160 --> 00:34:31,680
Speaker 2: on the modeling. They're spending more time on the data

644
00:34:31,680 --> 00:34:35,080
Speaker 2: that's going into a terabytes, massive exo bites, massive amounts

645
00:34:35,080 --> 00:34:37,799
Speaker 2: of data that's going in cleaning that data to where

646
00:34:37,840 --> 00:34:40,319
Speaker 2: it's actually usable. That's where they're spending a good portion

647
00:34:40,400 --> 00:34:43,320
Speaker 2: of their time and expertise is taking all this data

648
00:34:43,360 --> 00:34:47,560
Speaker 2: that these tools out in the field spin out and

649
00:34:47,719 --> 00:34:50,800
Speaker 2: putting it in a format to where it's actually usable.

650
00:34:50,880 --> 00:34:53,080
Speaker 2: You know, in the in tech they have a saying

651
00:34:53,120 --> 00:34:55,759
Speaker 2: garbage in garbage out right, You've got to give it

652
00:34:55,760 --> 00:34:57,560
Speaker 2: the right things. It's the same as a question to

653
00:34:57,640 --> 00:35:00,200
Speaker 2: an AI, you know tool a large language mode. Well,

654
00:35:00,520 --> 00:35:02,200
Speaker 2: you've got to ask it the right questions and frame

655
00:35:02,280 --> 00:35:03,840
Speaker 2: it properly, and then you're going to get some pretty

656
00:35:03,840 --> 00:35:05,839
Speaker 2: interesting things out of it, and it'll really be.

657
00:35:06,239 --> 00:35:08,759
Speaker 1: America is a nation that can be defined in a

658
00:35:08,880 --> 00:35:12,440
Speaker 1: single word, gonnot him number nine.

659
00:35:12,600 --> 00:35:16,400
Speaker 2: Not only was it authentic frontier jibbery, it expressed their

660
00:35:16,520 --> 00:35:18,200
Speaker 2: courage scene in this data.

661
00:35:18,320 --> 00:35:35,719
Speaker 5: The Michael Berry Show, Chad.

662
00:35:35,480 --> 00:35:38,919
Speaker 1: Norville is our guest. He is the CEO of rigzone

663
00:35:39,000 --> 00:35:44,080
Speaker 1: dot com, which is a marketplace of information, news, insight

664
00:35:44,239 --> 00:35:50,520
Speaker 1: analysis on energy jobs so drilling, refining, downhole, downstream, upstream,

665
00:35:50,560 --> 00:35:55,160
Speaker 1: midstream investment and the largest job placement for people in

666
00:35:55,200 --> 00:35:59,600
Speaker 1: the energy industry, which is so your website is rigzone

667
00:35:59,600 --> 00:36:03,160
Speaker 1: dot com says seven hundred twenty thousand industry professionals. Can't

668
00:36:03,200 --> 00:36:06,200
Speaker 1: be wrong. Is that how many people accume your site

669
00:36:06,280 --> 00:36:07,480
Speaker 1: or what does that number represent?

670
00:36:08,800 --> 00:36:11,359
Speaker 2: Yeah, it's actually small when you consider it from that term.

671
00:36:11,440 --> 00:36:14,080
Speaker 2: Seven hundred thousand plus is how many just receive our

672
00:36:14,160 --> 00:36:17,200
Speaker 2: daily newsletter every day and we have well over one

673
00:36:17,280 --> 00:36:19,719
Speaker 2: hundred and twenty thousand that open it every day. And

674
00:36:19,800 --> 00:36:21,600
Speaker 2: it's not the same that are opening it every day.

675
00:36:22,000 --> 00:36:24,920
Speaker 2: We have six to seven hundred thousand different industry professionals

676
00:36:24,920 --> 00:36:28,120
Speaker 2: that get impressions from rigzone every day. Outside of that,

677
00:36:28,320 --> 00:36:30,960
Speaker 2: so across emails, the website, all of our social channels

678
00:36:31,040 --> 00:36:35,480
Speaker 2: and digital marketing mechanisms, it's broad. It's vast that you know,

679
00:36:35,520 --> 00:36:37,320
Speaker 2: we have. We touch a lot of parts of the industry,

680
00:36:37,760 --> 00:36:41,520
Speaker 2: you know, across all of our jobs, news events. Yeah,

681
00:36:41,560 --> 00:36:42,880
Speaker 2: it's vast, to say the least.

682
00:36:44,040 --> 00:36:49,640
Speaker 1: It's it's just incredible how little information bleeds out that's

683
00:36:49,680 --> 00:36:53,440
Speaker 1: truthful and useful to the general public. When this is,

684
00:36:53,680 --> 00:36:56,360
Speaker 1: you know, energy, people forget energy. People think of it

685
00:36:56,360 --> 00:37:00,880
Speaker 1: as just jobs or just oil or gasoline at Energy

686
00:37:01,000 --> 00:37:02,920
Speaker 1: is at the core of everything we do, not just

687
00:37:02,960 --> 00:37:05,600
Speaker 1: heating and cooling, every product that we use. I mean,

688
00:37:05,640 --> 00:37:08,799
Speaker 1: it's just incredible. By the way, I don't know what

689
00:37:08,800 --> 00:37:11,840
Speaker 1: the stock market's done today, I haven't checked, but energy

690
00:37:11,960 --> 00:37:15,680
Speaker 1: is at the heart of your stock portfolio, which when

691
00:37:15,719 --> 00:37:18,080
Speaker 1: you retire, your four oh one K is going The

692
00:37:18,400 --> 00:37:22,000
Speaker 1: bedrock of most four oh one K plans today is

693
00:37:22,040 --> 00:37:25,080
Speaker 1: those safe blue chip energy stocks and every you know,

694
00:37:25,520 --> 00:37:28,200
Speaker 1: the greeny winnies want to attack them. You better hope

695
00:37:28,360 --> 00:37:31,880
Speaker 1: those companies that are called evil and their profits continue

696
00:37:31,920 --> 00:37:34,200
Speaker 1: to be profitable, because that's what's holding up your stock

697
00:37:34,239 --> 00:37:37,839
Speaker 1: price for school teachers and plumbers and everybody else. And

698
00:37:37,920 --> 00:37:41,120
Speaker 1: that is easy to forget. Chad, I wanted you to

699
00:37:41,120 --> 00:37:42,879
Speaker 1: finish that sentence if you remember what you were saying

700
00:37:42,920 --> 00:37:45,040
Speaker 1: before I filibustered you, and then I want to ask

701
00:37:45,080 --> 00:37:47,480
Speaker 1: for your advice for people in the industry. Do you

702
00:37:47,520 --> 00:37:49,000
Speaker 1: remember what you were saying or did I did I

703
00:37:49,040 --> 00:37:49,600
Speaker 1: throw you off?

704
00:37:50,719 --> 00:37:51,279
Speaker 2: I can't remember?

705
00:37:51,400 --> 00:37:53,480
Speaker 1: Okay, Well, then let me ask you this. You were

706
00:37:53,520 --> 00:37:56,919
Speaker 1: talking about who's hiring. Let's start with entry level. Let's

707
00:37:56,960 --> 00:37:59,320
Speaker 1: say I get a lot of emails from people who've

708
00:37:59,400 --> 00:38:03,120
Speaker 1: just gotten out the military, and they say, what should

709
00:38:03,120 --> 00:38:05,879
Speaker 1: I do? Where should I go? Who's hiring? They want

710
00:38:05,920 --> 00:38:08,160
Speaker 1: a career, not just a job, right, So they don't

711
00:38:08,160 --> 00:38:10,200
Speaker 1: want to go do fast food. They want to start

712
00:38:10,200 --> 00:38:12,920
Speaker 1: in a career. And I tell people find a job

713
00:38:12,920 --> 00:38:15,680
Speaker 1: in energy because the upsides are crazy. What do you

714
00:38:15,719 --> 00:38:17,600
Speaker 1: say to that guy he just got out of the Marines.

715
00:38:19,120 --> 00:38:22,960
Speaker 2: Yeah, So, first and foremost, the very explicit ouilling gas

716
00:38:23,040 --> 00:38:27,479
Speaker 2: roles and training and education is going to be there

717
00:38:27,520 --> 00:38:29,520
Speaker 2: for a long time as long as someone at that

718
00:38:29,600 --> 00:38:31,600
Speaker 2: point would be able to fulfill a career with it.

719
00:38:31,719 --> 00:38:35,640
Speaker 2: So whether that's patrol engineering or mechanical engineering focus on

720
00:38:35,680 --> 00:38:40,600
Speaker 2: the ouling gas geology, chemical engineering, and electical engineering focusing

721
00:38:40,640 --> 00:38:43,560
Speaker 2: on oil and gas, those things are going to be

722
00:38:43,600 --> 00:38:45,680
Speaker 2: there for the foreseeable future. I mean for the next

723
00:38:45,800 --> 00:38:48,960
Speaker 2: to twenty fifty. I would guess at least, you know,

724
00:38:49,000 --> 00:38:51,759
Speaker 2: like I said, emerging markets are coming online, We're not

725
00:38:51,960 --> 00:38:54,160
Speaker 2: going to see a significant change in at least the

726
00:38:54,160 --> 00:38:56,400
Speaker 2: demand side of oil and gas for a good while.

727
00:38:57,120 --> 00:38:59,439
Speaker 2: So I think they could still fulfill a strong career.

728
00:38:59,480 --> 00:39:01,360
Speaker 2: And here's the thing. I mean, some people might be

729
00:39:01,440 --> 00:39:03,719
Speaker 2: reticent to go get a patrol engineer degree, So there's

730
00:39:03,719 --> 00:39:05,719
Speaker 2: gonna be less competition. There's a lot of people with

731
00:39:05,719 --> 00:39:07,560
Speaker 2: a lot of experience. They're going to be retiring, right

732
00:39:07,600 --> 00:39:09,360
Speaker 2: the boomers and all of them have already started to.

733
00:39:09,440 --> 00:39:12,239
Speaker 2: But uh, there's going to be openings and opportunities there

734
00:39:12,239 --> 00:39:16,080
Speaker 2: for those folks. You know, there's there's a lot of

735
00:39:16,120 --> 00:39:19,479
Speaker 2: opportunities still in those fields. So I would I would

736
00:39:19,520 --> 00:39:22,640
Speaker 2: tell them you probably have more opportunity because this can

737
00:39:22,719 --> 00:39:24,360
Speaker 2: be more demand for you because there'll be fewer of you.

738
00:39:25,200 --> 00:39:27,960
Speaker 2: Aside from that, if you are concerned and you're wanting

739
00:39:27,960 --> 00:39:32,279
Speaker 2: something more transferable. We talked earlier about the tech roles. Uh,

740
00:39:32,600 --> 00:39:36,319
Speaker 2: you know, electrical and instrumentation are massive and you don't

741
00:39:36,360 --> 00:39:38,680
Speaker 2: have to get a full bachelor's degree to do that.

742
00:39:38,840 --> 00:39:43,359
Speaker 2: You could get an associate or certification. So for electrical, Uh,

743
00:39:43,440 --> 00:39:48,400
Speaker 2: there's electrical engineering technology. Power distribution technicians are in massive

744
00:39:48,400 --> 00:39:52,319
Speaker 2: demand huge old services companies I know right now, are

745
00:39:52,480 --> 00:39:54,960
Speaker 2: you know jumping at the bits to get power distribution folks,

746
00:39:55,640 --> 00:40:00,200
Speaker 2: power plant technology, energy systems. Uh, industrial maintenance technology can

747
00:40:00,239 --> 00:40:04,600
Speaker 2: be a maintenance tech. They're massive demand and they're transferable skills. Uh.

748
00:40:04,960 --> 00:40:09,879
Speaker 2: Those are associates, degree certifications, there's a SEE certify, there's

749
00:40:09,880 --> 00:40:14,560
Speaker 2: a power systems tech uh, electrical power distributions certifications. I

750
00:40:14,600 --> 00:40:18,560
Speaker 2: know those are out there, Uh, industrial electricians. You could

751
00:40:18,760 --> 00:40:20,839
Speaker 2: do any of those things, right. That could be as

752
00:40:20,880 --> 00:40:23,520
Speaker 2: little as three or six months on those certifications, and

753
00:40:23,560 --> 00:40:25,279
Speaker 2: you could get a job. There are those roles out

754
00:40:25,320 --> 00:40:27,719
Speaker 2: there for those folks, and they'd love to train you up.

755
00:40:29,040 --> 00:40:30,960
Speaker 2: And not like I said, it's transferable. You could do

756
00:40:31,040 --> 00:40:32,960
Speaker 2: a lot of different things. A lot of industries you know,

757
00:40:33,040 --> 00:40:36,040
Speaker 2: require those skills on the instrumentation and you know you

758
00:40:36,120 --> 00:40:40,839
Speaker 2: talked earlier about valves automatically changing and whatnot. That's PLC programming, right,

759
00:40:40,880 --> 00:40:46,440
Speaker 2: it's uh, the programmable programmable logic controllers. Right. These automation

760
00:40:46,600 --> 00:40:49,520
Speaker 2: and control technologies, same thing you can get in socials

761
00:40:49,520 --> 00:40:53,400
Speaker 2: degree and instrumentation or controls automation. Uh. They have robotics

762
00:40:53,400 --> 00:40:55,759
Speaker 2: technology which is cool that goes into a ROV. We

763
00:40:55,840 --> 00:40:58,600
Speaker 2: have huge companies we work with that just focus on that.

764
00:40:59,120 --> 00:41:01,920
Speaker 2: Oceaneering is huge in that space. There's a few other

765
00:41:01,960 --> 00:41:04,280
Speaker 2: companies we work with to do that as well. Obviously,

766
00:41:04,320 --> 00:41:06,320
Speaker 2: electrical engineering you don't have to have a double E.

767
00:41:06,640 --> 00:41:08,600
Speaker 2: It's a fantastic degree. I would encourage you to get

768
00:41:08,600 --> 00:41:10,319
Speaker 2: it if you have the time and the means. But

769
00:41:10,560 --> 00:41:14,560
Speaker 2: you can get an electrical engineering technology associates and that's

770
00:41:14,600 --> 00:41:18,000
Speaker 2: your maintenance placing here too, and instrumentation and automation roles,

771
00:41:18,040 --> 00:41:21,800
Speaker 2: so those are associates degrees. Spend two years. Are you

772
00:41:21,840 --> 00:41:24,080
Speaker 2: know your grant from the military and go do that.

773
00:41:24,760 --> 00:41:26,279
Speaker 2: You need to work and you want to do something

774
00:41:26,320 --> 00:41:29,959
Speaker 2: shorter term the certifications and automation and instrumentation too. There's

775
00:41:30,280 --> 00:41:35,080
Speaker 2: control systems tech certifications, there's automation professionals. You can get

776
00:41:35,120 --> 00:41:39,399
Speaker 2: a POC programming certification. Those exist for someone coming in.

777
00:41:39,440 --> 00:41:42,960
Speaker 2: Those are really highly transferable skills and things that aren't

778
00:41:42,960 --> 00:41:45,560
Speaker 2: massively time consuming. To go get a certification or associate's

779
00:41:45,640 --> 00:41:47,600
Speaker 2: degree on the government that you've earned and you know

780
00:41:47,640 --> 00:41:50,680
Speaker 2: we appreciate you and please take advantage of it. I

781
00:41:50,680 --> 00:41:52,759
Speaker 2: would say that for that person from the military looking

782
00:41:52,800 --> 00:41:54,600
Speaker 2: into it, those are you know, good skills that are

783
00:41:54,600 --> 00:41:56,239
Speaker 2: going to be there no matter what happens. It's set

784
00:41:56,280 --> 00:41:58,680
Speaker 2: your mind at ease. If you were concerned about the industry,

785
00:41:58,760 --> 00:42:02,920
Speaker 2: which I'm not. You mentioned certifications earlier. If you have

786
00:42:03,120 --> 00:42:05,360
Speaker 2: worked in the old patch at all, or you have

787
00:42:05,480 --> 00:42:09,759
Speaker 2: some kind of experience around certain things. API American Patrol Institute,

788
00:42:09,760 --> 00:42:13,000
Speaker 2: which is a massive partner of ours. Uh, they have

789
00:42:13,200 --> 00:42:17,200
Speaker 2: really great certification programs so uh pipe. They do a

790
00:42:17,239 --> 00:42:23,160
Speaker 2: lot of inspection, different certifications, so piping, pressure vessels, tank inspectors,

791
00:42:23,360 --> 00:42:27,040
Speaker 2: you know, HS related things and inspections always going to

792
00:42:27,280 --> 00:42:30,239
Speaker 2: you know, be really highly needed and sought after. So

793
00:42:30,719 --> 00:42:33,520
Speaker 2: those are really good certifications to get Q one and

794
00:42:33,600 --> 00:42:37,680
Speaker 2: Q two. This is more of a senior professional type

795
00:42:37,680 --> 00:42:40,399
Speaker 2: of role, but those are great certifications at API as well,

796
00:42:41,320 --> 00:42:44,239
Speaker 2: you know, designing implementing quality management systems. It's kind of

797
00:42:44,280 --> 00:42:45,280
Speaker 2: in line with the ISO.

798
00:42:45,920 --> 00:42:48,279
Speaker 1: And so do you go to API to get that certification?

799
00:42:49,440 --> 00:42:51,319
Speaker 2: Yes, yeah, you reach out to them and they have

800
00:42:51,680 --> 00:42:53,719
Speaker 2: folks on staff. You'd be more than happy to talk

801
00:42:53,719 --> 00:42:56,520
Speaker 2: to you about what your experience has been and you

802
00:42:56,520 --> 00:42:58,640
Speaker 2: know what might fit starting from scrats. I don't know

803
00:42:58,640 --> 00:43:01,279
Speaker 2: that those would necessarily be useful, probably be more. Those

804
00:43:01,320 --> 00:43:03,560
Speaker 2: are folks probably that have been around it or have

805
00:43:03,560 --> 00:43:05,400
Speaker 2: a little more experience. But again you could talk to them.

806
00:43:05,440 --> 00:43:07,799
Speaker 2: I don't know from the ground up, but you know

807
00:43:07,800 --> 00:43:10,680
Speaker 2: that all have available, like I said, the other associates

808
00:43:10,680 --> 00:43:12,680
Speaker 2: and certifications or things. I know a bit more about

809
00:43:12,680 --> 00:43:14,399
Speaker 2: where I think they could get right in without any

810
00:43:14,400 --> 00:43:16,279
Speaker 2: experience in any of those technologies.

811
00:43:16,640 --> 00:43:21,200
Speaker 1: Chad Norville is the CEO of rigzone dot com and

812
00:43:21,360 --> 00:43:26,279
Speaker 1: they have job postings there in the energy industry. I

813
00:43:26,320 --> 00:43:28,759
Speaker 1: get a lot of emails from you folks out there

814
00:43:29,360 --> 00:43:32,200
Speaker 1: looking for a job, have just come out of the military,

815
00:43:32,239 --> 00:43:34,120
Speaker 1: and this is where I'll send you more with Chadnorville,

816
00:43:34,480 --> 00:43:35,640
Speaker 1: rig zone dot Com coming up.

817
00:44:12,040 --> 00:44:17,759
Speaker 3: Lovely Rita met a maid not even come between Way

818
00:44:17,840 --> 00:44:24,200
Speaker 3: get stock. I told your heart to way standing.

819
00:44:23,840 --> 00:44:27,640
Speaker 1: By a parking meter. When I call it a glimpse

820
00:44:27,680 --> 00:44:28,760
Speaker 1: of Rita.

821
00:44:28,560 --> 00:44:31,840
Speaker 3: Filling in the take in a little white book in

822
00:44:31,960 --> 00:44:35,800
Speaker 3: a cat you look my joona and the bag across

823
00:44:35,800 --> 00:44:39,280
Speaker 3: the shoulder may look a little like a military man.

824
00:44:42,440 --> 00:44:47,480
Speaker 1: Lovely Rita as part of our continuing series of Insights

825
00:44:47,680 --> 00:44:53,319
Speaker 1: from business Leaders. Actually they call it ramon do you

826
00:44:53,360 --> 00:44:58,200
Speaker 1: know what oracle? They call it success from scratch And

827
00:44:58,280 --> 00:45:01,640
Speaker 1: they heard what we're doing with business leaders. We had

828
00:45:01,719 --> 00:45:05,000
Speaker 1: Russell Lebarrow last week and they loved it, and so

829
00:45:05,040 --> 00:45:08,080
Speaker 1: they said, we would love to just sponsor your show

830
00:45:08,120 --> 00:45:11,120
Speaker 1: and tie in because of what we do. Over forty

831
00:45:11,120 --> 00:45:14,640
Speaker 1: one thousand businesses of upgraded to NetSuite bio Oracle. They

832
00:45:14,760 --> 00:45:17,600
Speaker 1: use their AI and machine learning to make better decisions,

833
00:45:17,680 --> 00:45:21,840
Speaker 1: especially CFOs, which is why netsweet dot com forward slash

834
00:45:21,880 --> 00:45:24,120
Speaker 1: berry is where you can find that NetSuite dot com

835
00:45:24,160 --> 00:45:28,120
Speaker 1: forward slash Berry, especially if you're a CFO looking for

836
00:45:28,600 --> 00:45:33,400
Speaker 1: more help assessing, understanding, making sense of all the data

837
00:45:33,640 --> 00:45:39,160
Speaker 1: you have. Let me ask you an operational question. Do

838
00:45:39,239 --> 00:45:41,520
Speaker 1: you say Norville or do you say Norville?

839
00:45:43,000 --> 00:45:46,560
Speaker 2: Everyone says Norville. My grandfather told me it was Norville.

840
00:45:46,719 --> 00:45:47,800
Speaker 2: I'll respond to either.

841
00:45:48,040 --> 00:45:49,480
Speaker 1: Where are you from?

842
00:45:50,239 --> 00:45:51,000
Speaker 2: I'm from Houston.

843
00:45:51,320 --> 00:45:52,680
Speaker 1: Where'd you go? Where'd you grow up?

844
00:45:54,480 --> 00:45:55,000
Speaker 2: Deer Park?

845
00:45:55,760 --> 00:45:56,800
Speaker 1: Where'd you go to high school?

846
00:45:58,000 --> 00:45:58,839
Speaker 2: Good Park High School?

847
00:45:58,920 --> 00:45:59,920
Speaker 1: Did you know Andy Pettitt?

848
00:46:02,480 --> 00:46:04,400
Speaker 2: No, I've been around him. He was a little before me.

849
00:46:05,360 --> 00:46:09,640
Speaker 2: I'm mid forties, so he was a little older. But yeah,

850
00:46:09,760 --> 00:46:12,360
Speaker 2: so I'm a church you know, my cousins, my in

851
00:46:12,440 --> 00:46:15,680
Speaker 2: law's go to his church, and so you know, I'd

852
00:46:15,680 --> 00:46:18,560
Speaker 2: see him all around a lot. But you know, we

853
00:46:18,560 --> 00:46:20,600
Speaker 2: weren't friend friends or anything of that nature.

854
00:46:20,840 --> 00:46:25,400
Speaker 1: Did you ever find yourself stopping and marveling at how

855
00:46:25,520 --> 00:46:28,480
Speaker 1: high he kicked his right leg when he would throw

856
00:46:28,520 --> 00:46:30,600
Speaker 1: those big looping curveballs.

857
00:46:32,360 --> 00:46:34,479
Speaker 2: Oh yeah, amazing right.

858
00:46:34,560 --> 00:46:37,120
Speaker 1: So you know who else did that remove you might know?

859
00:46:37,360 --> 00:46:38,840
Speaker 1: Are you a baseball fan, Chad?

860
00:46:40,400 --> 00:46:41,799
Speaker 2: Oh, of course, huge fan.

861
00:46:42,239 --> 00:46:47,200
Speaker 1: So there was a picture for the Oakland A's named

862
00:46:47,320 --> 00:46:50,120
Speaker 1: Barry he had he was a lefty. He also what

863
00:46:50,880 --> 00:46:53,919
Speaker 1: Zito berry Zedo he also had that. You never see

864
00:46:54,000 --> 00:46:56,880
Speaker 1: right handed pitchers do this. They have that pitch that

865
00:46:57,360 --> 00:47:00,080
Speaker 1: feels like, I mean, it looks to me when you

866
00:47:00,160 --> 00:47:02,560
Speaker 1: see the ball coming in, it looks like the ball

867
00:47:02,640 --> 00:47:05,520
Speaker 1: came from behind their head, like in the in the

868
00:47:05,560 --> 00:47:08,480
Speaker 1: ball of your neck. And it's just just big, looping,

869
00:47:09,719 --> 00:47:16,160
Speaker 1: off speed pitch that gives batters fits. And Pettit had it,

870
00:47:16,239 --> 00:47:18,560
Speaker 1: and Barry Zito had it. And by the way, for

871
00:47:18,680 --> 00:47:22,560
Speaker 1: anybody out there listening, I have a number of mutual

872
00:47:22,600 --> 00:47:26,160
Speaker 1: friends with Andy Pettitt who have politely explained to him

873
00:47:26,160 --> 00:47:28,560
Speaker 1: that I would like to be his best friend. And

874
00:47:28,760 --> 00:47:32,120
Speaker 1: it hasn't worked out yet, and so I don't know

875
00:47:32,160 --> 00:47:35,759
Speaker 1: how to do that without it being weird. Just hold on, Chad,

876
00:47:35,800 --> 00:47:38,520
Speaker 1: this is very important. But since you're from Deer Park,

877
00:47:38,560 --> 00:47:41,000
Speaker 1: I need to get somebody out there is going to

878
00:47:41,040 --> 00:47:43,960
Speaker 1: be close friends with Andy and he's going to say, oh,

879
00:47:44,440 --> 00:47:46,600
Speaker 1: I'll put y'all together and then it's just going to

880
00:47:46,680 --> 00:47:50,040
Speaker 1: happen and he can work on my pitching mechanics. Did

881
00:47:50,080 --> 00:47:50,880
Speaker 1: you play baseball?

882
00:47:52,640 --> 00:47:53,000
Speaker 2: I did.

883
00:47:54,239 --> 00:47:56,799
Speaker 1: Did you played soccer in high school if you went

884
00:47:56,840 --> 00:47:57,640
Speaker 1: on to play college?

885
00:47:58,840 --> 00:48:01,080
Speaker 2: Well yeah, of course, but like everyone, you play all

886
00:48:01,080 --> 00:48:03,000
Speaker 2: the sports and you kind of end up sticking with

887
00:48:03,040 --> 00:48:05,120
Speaker 2: what you're best at. So I was pretty fast and

888
00:48:05,200 --> 00:48:09,040
Speaker 2: pretty good at soccer, so the rest went away. You know,

889
00:48:09,200 --> 00:48:09,640
Speaker 2: what was.

890
00:48:09,600 --> 00:48:12,239
Speaker 1: Your high school? What did you graduate at?

891
00:48:13,760 --> 00:48:16,520
Speaker 2: I was just sort of six foot and probably won

892
00:48:16,640 --> 00:48:17,800
Speaker 2: seventy five.

893
00:48:18,920 --> 00:48:21,000
Speaker 1: Ramon says, if you say just under six foot, you

894
00:48:21,000 --> 00:48:23,640
Speaker 1: were actually five ten. Rell you don't know him enough

895
00:48:23,640 --> 00:48:24,000
Speaker 1: to say that.

896
00:48:27,160 --> 00:48:29,440
Speaker 2: I'll go at least five eleven. Okay, guaranteed.

897
00:48:29,600 --> 00:48:31,280
Speaker 1: What was your forty time? Would you guess?

898
00:48:33,360 --> 00:48:35,879
Speaker 2: Uh? I think at my peak i'd probably touch four

899
00:48:35,920 --> 00:48:39,160
Speaker 2: or five in the four fives for six four seven

900
00:48:39,320 --> 00:48:39,760
Speaker 2: was easy?

901
00:48:40,239 --> 00:48:43,839
Speaker 1: Hold on, You think you ran a forty in high

902
00:48:43,880 --> 00:48:45,759
Speaker 1: school at four or five?

903
00:48:47,560 --> 00:48:49,640
Speaker 2: Well, that was probably right after high school when I

904
00:48:49,640 --> 00:48:50,280
Speaker 2: went to college.

905
00:48:51,200 --> 00:48:54,000
Speaker 1: That's human for a white boy. That's fast.

906
00:48:57,000 --> 00:49:00,880
Speaker 2: I mean, okay, I think i'd probably league hit a

907
00:49:01,000 --> 00:49:03,320
Speaker 2: high four or five at some point. I never did,

908
00:49:03,520 --> 00:49:06,200
Speaker 2: but I'm assuming I probably could have. At some point

909
00:49:06,280 --> 00:49:11,080
Speaker 2: at my peak fitness level, I'm projecting. I'll admit, UH,

910
00:49:11,280 --> 00:49:13,160
Speaker 2: don't have proof from that. I know.

911
00:49:13,560 --> 00:49:16,600
Speaker 1: If you know, look, if you were fast, you know

912
00:49:16,719 --> 00:49:19,279
Speaker 1: you were fast. I mean, I don't think a guy's

913
00:49:19,320 --> 00:49:22,200
Speaker 1: going to say there were four or five. If you

914
00:49:22,239 --> 00:49:25,799
Speaker 1: know they played O line, you know for Nebraska, that

915
00:49:25,920 --> 00:49:29,080
Speaker 1: means you were fast. I'm not doubting it. I'm saying

916
00:49:29,400 --> 00:49:33,200
Speaker 1: I'm I'm putting a marker on this moment so that

917
00:49:33,320 --> 00:49:36,000
Speaker 1: I think about it later that that I'm putting a

918
00:49:36,040 --> 00:49:38,640
Speaker 1: ribbon on it. That's a big deal. Okay. So then

919
00:49:38,680 --> 00:49:42,879
Speaker 1: you go off to Iowa to en Sioux City at

920
00:49:42,880 --> 00:49:44,960
Speaker 1: the little school you wouldn't hardly give me the name of.

921
00:49:45,360 --> 00:49:46,640
Speaker 1: And then where did you go from there?

922
00:49:48,760 --> 00:49:51,760
Speaker 2: Yeah? So it had some Japanese affiliation in the nineties

923
00:49:51,760 --> 00:49:54,520
Speaker 2: they had a great depression basically, so started pulling out

924
00:49:54,560 --> 00:49:57,520
Speaker 2: money and had accreditation issues. You know, I was making

925
00:49:57,560 --> 00:49:59,359
Speaker 2: pretty good, good grades. I didn't want to stick around

926
00:49:59,400 --> 00:50:02,000
Speaker 2: for that, So for a bat u of h got

927
00:50:02,000 --> 00:50:04,600
Speaker 2: into programming. Like I said, I was doing a joint

928
00:50:04,640 --> 00:50:09,600
Speaker 2: program on chemical plant operations. So I from one credit

929
00:50:09,600 --> 00:50:11,600
Speaker 2: shy of having an associate screen and that I was

930
00:50:11,640 --> 00:50:14,240
Speaker 2: going to program scata and do that for the plants

931
00:50:14,360 --> 00:50:15,799
Speaker 2: was kind of the thinking at the time. But then

932
00:50:15,840 --> 00:50:19,400
Speaker 2: I started really liking the computer programming, and uh so

933
00:50:19,480 --> 00:50:22,720
Speaker 2: I kind of let that go and ended up finishing

934
00:50:22,760 --> 00:50:25,239
Speaker 2: my bachelor science degree and information systems and then I

935
00:50:25,239 --> 00:50:26,080
Speaker 2: got an MBA.

936
00:50:26,280 --> 00:50:27,600
Speaker 1: Where did you get your.

937
00:50:29,120 --> 00:50:29,520
Speaker 2: Hula?

938
00:50:29,880 --> 00:50:31,600
Speaker 1: And then were you working at the time?

939
00:50:33,000 --> 00:50:34,600
Speaker 2: I was. I was going to score at night for

940
00:50:34,640 --> 00:50:38,560
Speaker 2: AT and T, which was an amazing experience because the

941
00:50:38,600 --> 00:50:41,319
Speaker 2: space program was the Shuttle program was still going in

942
00:50:41,360 --> 00:50:45,120
Speaker 2: full force. So my mentors were double PhDs, you know,

943
00:50:45,239 --> 00:50:48,040
Speaker 2: directors of the International Space Station before it was called

944
00:50:48,040 --> 00:50:51,080
Speaker 2: Space Station Freedom. Uh that was one of my mentors.

945
00:50:52,160 --> 00:50:54,319
Speaker 2: So it was really interesting. I got to do that

946
00:50:54,360 --> 00:50:56,840
Speaker 2: and talk to those folks, and then I got to

947
00:50:57,680 --> 00:51:00,239
Speaker 2: you know, at AT and T, I developed some and

948
00:51:00,320 --> 00:51:02,600
Speaker 2: programs that kind of got some attention and ended up

949
00:51:04,000 --> 00:51:07,239
Speaker 2: meeting some of the C suite folks who kind of

950
00:51:07,239 --> 00:51:09,600
Speaker 2: took me under their wing. And Karen Jennings, who was

951
00:51:10,080 --> 00:51:13,640
Speaker 2: Times twenty five most centfluential women, helped me out a

952
00:51:13,640 --> 00:51:16,520
Speaker 2: bit and you know, just took advantage of different opportunities

953
00:51:16,560 --> 00:51:18,640
Speaker 2: when there was That's the whole thing, right, It's about,

954
00:51:18,840 --> 00:51:21,920
Speaker 2: you know, it's about playing ball whenever, of course, the

955
00:51:22,040 --> 00:51:22,920
Speaker 2: time time, of course.

956
00:51:23,200 --> 00:51:24,120
Speaker 1: What did your dad do.

957
00:51:26,360 --> 00:51:26,880
Speaker 2: Construction?

958
00:51:29,000 --> 00:51:32,680
Speaker 1: So your interest in computer programming? And I asked this

959
00:51:33,000 --> 00:51:38,440
Speaker 1: because I had no interest in computers or certainly not

960
00:51:38,520 --> 00:51:41,319
Speaker 1: making it figuring out how one worked. What do you

961
00:51:41,400 --> 00:51:44,400
Speaker 1: think sparked the interesting computer program because I my nephew

962
00:51:44,440 --> 00:51:47,279
Speaker 1: does it, and I think it's a great field. By

963
00:51:47,320 --> 00:51:49,840
Speaker 1: the way, Oh, by the way, Chad, I don't know

964
00:51:49,880 --> 00:51:52,680
Speaker 1: if you're hiring or not, but my nephew needs a job.

965
00:51:53,000 --> 00:51:55,960
Speaker 1: He just graduated from Lamar with like a three to eight.

966
00:51:56,400 --> 00:52:00,480
Speaker 1: It my brother, my late brother's son, and he's starting

967
00:52:00,480 --> 00:52:02,640
Speaker 1: to work on his NBA. And if you were to

968
00:52:02,719 --> 00:52:04,600
Speaker 1: hire him as part of this interview, that'd be great.

969
00:52:04,640 --> 00:52:07,480
Speaker 1: When it ramoned, Ramone said that'd be great. I'm just

970
00:52:07,560 --> 00:52:10,239
Speaker 1: kidding you, but I am looking for him at John Yeah,

971
00:52:10,280 --> 00:52:11,680
Speaker 1: no pressure at all. You don't have to make the

972
00:52:11,719 --> 00:52:15,200
Speaker 1: decision right now. I'll send you the his resume during

973
00:52:15,280 --> 00:52:17,640
Speaker 1: the break. But here's what's weird. And I tell him

974
00:52:17,640 --> 00:52:20,440
Speaker 1: his name is Braiden. Braiden, what made you want to

975
00:52:20,440 --> 00:52:24,480
Speaker 1: be a computer programmer? Our family is cops and oil

976
00:52:24,520 --> 00:52:27,520
Speaker 1: fill workers and one guy who talks on the radio.

977
00:52:27,840 --> 00:52:30,839
Speaker 1: You literally have nobody in our family who can do

978
00:52:30,920 --> 00:52:33,319
Speaker 1: anything more than turn a computer on, and that's a

979
00:52:33,360 --> 00:52:36,960
Speaker 1: big deal. Like why it's just so odd to me

980
00:52:37,520 --> 00:52:40,440
Speaker 1: that people have that interest. I guess just because it

981
00:52:40,480 --> 00:52:45,279
Speaker 1: doesn't come naturally to me. Maybe that's the reason we're

982
00:52:45,280 --> 00:52:49,120
Speaker 1: talking to Chad Norville or Norville of rigzone dot com

983
00:52:49,160 --> 00:52:51,440
Speaker 1: and we will continue our conversation with him coming up.

984
00:52:52,400 --> 00:52:58,479
Speaker 4: Joey Kung, m Michael Bay Good Show on Polk Lump.

985
00:53:14,560 --> 00:53:20,040
Speaker 1: Rigzone dot com is the site of where the energy

986
00:53:20,200 --> 00:53:23,520
Speaker 1: industry goes to find jobs, to post jobs, to get

987
00:53:23,520 --> 00:53:26,920
Speaker 1: inside information, to talk about what oil prices are, what

988
00:53:27,000 --> 00:53:31,440
Speaker 1: futures are doing, who's buying, who's selling, what the trends are.

989
00:53:31,920 --> 00:53:35,560
Speaker 1: Rigzone dot com. They are not a sponsor, Ramon in

990
00:53:35,640 --> 00:53:38,040
Speaker 1: answer your question, but they one day will be because

991
00:53:38,040 --> 00:53:40,200
Speaker 1: it's a perfect partnership. But that's not why he's our guests.

992
00:53:40,200 --> 00:53:42,080
Speaker 1: He's our guest because I've been wanting to talk energy

993
00:53:42,120 --> 00:53:46,439
Speaker 1: for a while. So for folks that are simply saying, hey,

994
00:53:46,520 --> 00:53:48,319
Speaker 1: I don't have any special skills, I go back to

995
00:53:48,360 --> 00:53:50,160
Speaker 1: my marine that just got out, Because this comes up

996
00:53:50,160 --> 00:53:52,719
Speaker 1: a lot. Is there a company I get I might

997
00:53:52,760 --> 00:53:54,759
Speaker 1: get you in trouble if you pick one. But is

998
00:53:54,760 --> 00:53:57,120
Speaker 1: there a company that you are a mean? Can they

999
00:53:57,120 --> 00:53:58,800
Speaker 1: go to rigzone and put their information on there and

1000
00:53:58,840 --> 00:54:00,839
Speaker 1: they're gonna because nobody wants to do monster or any

1001
00:54:00,880 --> 00:54:03,200
Speaker 1: of that anymore. Somebody wants to get hired right now.

1002
00:54:03,239 --> 00:54:05,400
Speaker 1: They're willing to work hard, and they're willing to travel

1003
00:54:05,440 --> 00:54:08,000
Speaker 1: as far as Midland, not further. Well, they'll go Midland

1004
00:54:08,000 --> 00:54:10,600
Speaker 1: to the west and Homa to the east. Are they

1005
00:54:10,600 --> 00:54:12,359
Speaker 1: going to Is there a job waiting for them right now?

1006
00:54:12,880 --> 00:54:16,320
Speaker 2: Yeah? Potentially, I think. You know. Unfortunately, everything is technology

1007
00:54:16,360 --> 00:54:20,920
Speaker 2: based now, so it's kind of you know, ry paid entry. Right.

1008
00:54:20,920 --> 00:54:22,759
Speaker 2: You have to have a CV or resume of some

1009
00:54:22,800 --> 00:54:25,040
Speaker 2: sorts and you need to upload it for our website.

1010
00:54:25,080 --> 00:54:29,080
Speaker 2: You uploaded to rigzone, activate your account your CV. Uh,

1011
00:54:29,560 --> 00:54:31,520
Speaker 2: do some searching, do some applying. You know, we have

1012
00:54:31,680 --> 00:54:34,000
Speaker 2: AI mechanisms in there that will do what it can

1013
00:54:34,080 --> 00:54:36,480
Speaker 2: to help you. It will look at what your qualifications are,

1014
00:54:36,520 --> 00:54:38,680
Speaker 2: It will look at what job titles you had previously,

1015
00:54:38,719 --> 00:54:40,839
Speaker 2: or what your experiences are. It will keep an eye

1016
00:54:40,840 --> 00:54:42,680
Speaker 2: out on those. As long as you have for instance,

1017
00:54:42,760 --> 00:54:45,600
Speaker 2: emails activated, it will look at those things and as

1018
00:54:45,680 --> 00:54:48,000
Speaker 2: jobs become available that you qualify for, it will send

1019
00:54:48,000 --> 00:54:50,279
Speaker 2: you those and it's tiered, so it's going to give

1020
00:54:50,280 --> 00:54:53,359
Speaker 2: you the most optimal job for your experiences and what

1021
00:54:53,400 --> 00:54:56,799
Speaker 2: you're looking for right then. And then it will tear

1022
00:54:56,840 --> 00:54:58,560
Speaker 2: down and say, okay, let's step out a little more

1023
00:54:58,560 --> 00:55:00,640
Speaker 2: broadly and see if there's anything in this maybe that

1024
00:55:00,920 --> 00:55:02,799
Speaker 2: you know might work for you. And then it'll go

1025
00:55:02,880 --> 00:55:05,319
Speaker 2: even more general. So not everything is going to be

1026
00:55:05,320 --> 00:55:08,040
Speaker 2: on the nose, but it's looking all the time. So

1027
00:55:08,200 --> 00:55:10,320
Speaker 2: dismiss the ones that aren't that you don't think work.

1028
00:55:10,840 --> 00:55:12,759
Speaker 2: Keep an eye out because when the ones do, when

1029
00:55:12,760 --> 00:55:15,120
Speaker 2: the market does start picking up, and like I said earlier,

1030
00:55:15,160 --> 00:55:17,120
Speaker 2: we are a lot of folks are expecting that to

1031
00:55:17,160 --> 00:55:21,160
Speaker 2: start happening. As you know, all of these unleashed American

1032
00:55:21,280 --> 00:55:23,759
Speaker 2: energy policies start really taking hold. In one of those

1033
00:55:23,840 --> 00:55:26,080
Speaker 2: you know I talked about some of the policy for

1034
00:55:26,200 --> 00:55:29,399
Speaker 2: the regulations and the red tape being removed. He gives

1035
00:55:29,440 --> 00:55:31,719
Speaker 2: them thirty days to do this, so some of us

1036
00:55:32,000 --> 00:55:34,239
Speaker 2: might start happening pretty quick, and the industry is, you know,

1037
00:55:34,480 --> 00:55:38,160
Speaker 2: anxious for it. They'll start happening and popping on the website.

1038
00:55:38,440 --> 00:55:40,480
Speaker 2: We start sending emails to those folks, as I told you,

1039
00:55:40,520 --> 00:55:43,319
Speaker 2: send thirty million emails a month. That's not spam. Those

1040
00:55:43,320 --> 00:55:45,000
Speaker 2: are people that wanted to be on our website. If

1041
00:55:45,000 --> 00:55:47,320
Speaker 2: someone's getting emails because they asked to on our website.

1042
00:55:47,400 --> 00:55:49,480
Speaker 2: If someone one has a job on our website one

1043
00:55:49,480 --> 00:55:51,640
Speaker 2: of our recruiters, it's because that does an active job

1044
00:55:51,920 --> 00:55:53,759
Speaker 2: that they want on our website. We don't discourage them

1045
00:55:53,800 --> 00:55:56,040
Speaker 2: lead stuff there. Like all of these other generalists and

1046
00:55:56,360 --> 00:55:59,360
Speaker 2: other competitors, those are people we work with. If you

1047
00:55:59,360 --> 00:56:01,880
Speaker 2: see people on our website, we talked to those companies.

1048
00:56:02,080 --> 00:56:03,600
Speaker 2: Most of them we talked to for a long time

1049
00:56:03,640 --> 00:56:06,759
Speaker 2: and pretty consistently, so you know, we're doing our best

1050
00:56:06,800 --> 00:56:08,600
Speaker 2: for the candidates to really try to help them find

1051
00:56:08,640 --> 00:56:11,319
Speaker 2: those roles. On the website. We have job fares. Go

1052
00:56:11,400 --> 00:56:13,040
Speaker 2: to our events and look at what job fares are

1053
00:56:13,080 --> 00:56:15,120
Speaker 2: coming up and you can go and talk to those

1054
00:56:15,120 --> 00:56:17,920
Speaker 2: folks on site. Almost every event will have someone that

1055
00:56:17,920 --> 00:56:20,839
Speaker 2: they're looking to train up and give, you know, entry

1056
00:56:20,880 --> 00:56:25,239
Speaker 2: level without experience, and it's broad right. There's a lot

1057
00:56:25,280 --> 00:56:28,040
Speaker 2: of different types of roles that they'll take in and

1058
00:56:28,080 --> 00:56:31,560
Speaker 2: they'll train you up. Some of them are a little harder.

1059
00:56:31,600 --> 00:56:33,960
Speaker 2: You have to have certifications for some kind of training

1060
00:56:34,200 --> 00:56:36,920
Speaker 2: in order to do it. Like electricity, there's liability issues.

1061
00:56:36,960 --> 00:56:39,600
Speaker 2: They can't just take anywhere. But there are a lot

1062
00:56:39,640 --> 00:56:41,800
Speaker 2: of other types of roles, you know, floral and decads.

1063
00:56:41,840 --> 00:56:43,040
Speaker 2: A lot of people make a lot of money in

1064
00:56:43,040 --> 00:56:44,960
Speaker 2: this industry that started kind of at the bottom and

1065
00:56:45,040 --> 00:56:47,040
Speaker 2: worked their way up. And you can do it quickly,

1066
00:56:48,080 --> 00:56:50,840
Speaker 2: you know, in some instances. So they're still offshore. There's

1067
00:56:51,280 --> 00:56:56,200
Speaker 2: floating production. There's engineering and procurement and construction, right, they

1068
00:56:56,200 --> 00:57:01,239
Speaker 2: call them PPC companies, minstream pipelines. There's way massive you know,

1069
00:57:01,360 --> 00:57:07,000
Speaker 2: mechanics fuly high demand, like very high demand. Actually, engineering

1070
00:57:07,000 --> 00:57:12,400
Speaker 2: and designs tight. There's just so many also equipment cranes, operators,

1071
00:57:12,440 --> 00:57:16,120
Speaker 2: you know, heavy machinery operators. Last year, I saw that

1072
00:57:16,200 --> 00:57:18,320
Speaker 2: job at our job fairs as much as any job probably.

1073
00:57:18,760 --> 00:57:21,720
Speaker 2: Uh you just you know, operate a hydrid machinery. You

1074
00:57:21,720 --> 00:57:24,640
Speaker 2: have experience doing that in the military, imagine at.

1075
00:57:24,400 --> 00:57:27,479
Speaker 1: The Yeah, and hey, those are the real toys, right.

1076
00:57:28,240 --> 00:57:31,520
Speaker 1: If you can drive a tank and veer away from

1077
00:57:31,560 --> 00:57:37,880
Speaker 1: IEDs under fire, air and ground assault, then yeah, I

1078
00:57:37,880 --> 00:57:41,000
Speaker 1: think you can operate this piece of equipment for UH

1079
00:57:41,440 --> 00:57:43,720
Speaker 1: one of the rig zone DOT com sponsors one of

1080
00:57:43,720 --> 00:57:45,720
Speaker 1: the companies out in the offield. I didn't think about that,

1081
00:57:45,760 --> 00:57:47,680
Speaker 1: but I mean talk about an experience. But a lot

1082
00:57:47,720 --> 00:57:51,000
Speaker 1: of guys in your industry tell me that they consciously

1083
00:57:51,080 --> 00:57:55,600
Speaker 1: look for veterans because these are guys that work on

1084
00:57:55,640 --> 00:57:59,760
Speaker 1: a team, that make sacrifice, that are disciplined, that are tough,

1085
00:58:00,840 --> 00:58:04,200
Speaker 1: and it's something that is an ideal set of talents,

1086
00:58:04,240 --> 00:58:05,520
Speaker 1: particularly for that field.

1087
00:58:05,760 --> 00:58:08,760
Speaker 2: Yeah, so look for our industry, and every industry says this,

1088
00:58:08,840 --> 00:58:12,440
Speaker 2: but you know they say communication. It's almost a cliche, right,

1089
00:58:12,480 --> 00:58:17,480
Speaker 2: communications and you know the intangibles, those are off the

1090
00:58:17,560 --> 00:58:20,280
Speaker 2: chart for these folks, right, They're like the best of

1091
00:58:20,360 --> 00:58:23,600
Speaker 2: the best when it comes to those skills, those off

1092
00:58:23,600 --> 00:58:26,760
Speaker 2: the paper skills, if you will. So they absolutely, you know,

1093
00:58:26,920 --> 00:58:29,640
Speaker 2: want those those types of candidates. When we did one

1094
00:58:29,680 --> 00:58:32,400
Speaker 2: in San Antonio last year, I plive was last year.

1095
00:58:32,680 --> 00:58:34,800
Speaker 2: We do them every year, they're pretty much, but we

1096
00:58:34,840 --> 00:58:36,880
Speaker 2: did one out there and they focus on Eagle Forward.

1097
00:58:36,960 --> 00:58:40,920
Speaker 2: But we had the there's a lot of military influence

1098
00:58:40,920 --> 00:58:43,120
Speaker 2: at San Antonio, right, they have bases out there, and

1099
00:58:44,160 --> 00:58:47,880
Speaker 2: the NSA has people out there that work with UTSA.

1100
00:58:48,000 --> 00:58:51,680
Speaker 2: My son's actually studying cybersecurity at UTSA is about to

1101
00:58:51,680 --> 00:58:54,880
Speaker 2: be a senior So that's why because they're one of

1102
00:58:54,880 --> 00:58:56,800
Speaker 2: the few institutions in the United States that has a

1103
00:58:56,840 --> 00:58:59,320
Speaker 2: relationship with the NESSA. But they have a lot of

1104
00:58:59,320 --> 00:59:02,160
Speaker 2: military person there. So for the job fair, we reached

1105
00:59:02,160 --> 00:59:04,280
Speaker 2: out to all those organizations and said, look, these companies

1106
00:59:04,360 --> 00:59:06,600
Speaker 2: would love to talk to you. Please come out and

1107
00:59:06,640 --> 00:59:08,479
Speaker 2: have a conversation with them and see if there's something

1108
00:59:08,520 --> 00:59:11,920
Speaker 2: there for you. Uh. You know, I would encourage our

1109
00:59:11,960 --> 00:59:14,600
Speaker 2: military and ex military to always come to our job

1110
00:59:14,640 --> 00:59:17,280
Speaker 2: fairs and talk to those folks because they are wanted,

1111
00:59:17,320 --> 00:59:21,120
Speaker 2: they're highly regarded, and they're you know, strong employees that

1112
00:59:21,400 --> 00:59:24,120
Speaker 2: I think most of our companies would absolutely you know,

1113
00:59:24,360 --> 00:59:26,320
Speaker 2: love to have. And like I said, there are there's

1114
00:59:26,360 --> 00:59:28,280
Speaker 2: a lot of things that you can do in the military.

1115
00:59:28,320 --> 00:59:30,640
Speaker 2: It's not just like an infantry in the front. There's

1116
00:59:30,880 --> 00:59:33,240
Speaker 2: you know, people do communications, that do technology, they do

1117
00:59:33,280 --> 00:59:37,400
Speaker 2: heavy machinery, and those were all heavily required skills and

1118
00:59:37,480 --> 00:59:39,520
Speaker 2: roles in our industry. You know, like I said, I

1119
00:59:40,400 --> 00:59:42,600
Speaker 2: I can say without a doubt, I ine tech and

1120
00:59:42,880 --> 00:59:46,000
Speaker 2: heavy machinery operator and operators and other types of machinery.

1121
00:59:46,440 --> 00:59:49,400
Speaker 2: Those are for the last twelve months I've seen those

1122
00:59:49,480 --> 00:59:51,520
Speaker 2: out the job fairs, probably more than any of the

1123
00:59:51,520 --> 00:59:52,040
Speaker 2: other roles.

1124
00:59:52,080 --> 00:59:56,560
Speaker 1: That's interesting, and you foresee that continuing for some time.

1125
00:59:57,200 --> 01:00:00,200
Speaker 2: Yeah, would it would even more so, right the the

1126
01:00:00,280 --> 01:00:02,360
Speaker 2: quantity of them, you would have other roles that would

1127
01:00:02,440 --> 01:00:06,560
Speaker 2: be equally needed as things start kicking off again, whenever

1128
01:00:06,600 --> 01:00:10,160
Speaker 2: Trump's policies really start ticking hold, I would see more

1129
01:00:10,200 --> 01:00:12,680
Speaker 2: of the other types of roles in addition to those,

1130
01:00:12,720 --> 01:00:15,439
Speaker 2: But those wouldn't be falling back, right, the others would

1131
01:00:15,480 --> 01:00:18,920
Speaker 2: just be gaining in quantity. So, yeah, that's not going

1132
01:00:18,960 --> 01:00:21,040
Speaker 2: to change. It's still those needs are going to be

1133
01:00:21,040 --> 01:00:24,800
Speaker 2: there out in the wherever, maybe on our old filled

1134
01:00:24,880 --> 01:00:27,640
Speaker 2: or maybe on a it could be. There's a lot

1135
01:00:27,640 --> 01:00:29,960
Speaker 2: of different variants, like I said, pranes and you know,

1136
01:00:30,320 --> 01:00:31,520
Speaker 2: all kinds of different machinery.

1137
01:00:32,120 --> 01:00:37,240
Speaker 1: It is. It's so interesting because the energy industry being

1138
01:00:37,320 --> 01:00:40,760
Speaker 1: such a critical part of our economy. You know, you

1139
01:00:41,040 --> 01:00:44,440
Speaker 1: think of healthcare, you think of energy, of agriculture. I mean,

1140
01:00:44,680 --> 01:00:48,000
Speaker 1: these are the big ones, and it affects every aspect

1141
01:00:48,000 --> 01:00:50,120
Speaker 1: of our lives, from the gas we put in our

1142
01:00:50,120 --> 01:00:54,600
Speaker 1: car to every product on your desk, every plastic, every implant,

1143
01:00:54,640 --> 01:00:58,320
Speaker 1: every you know, fluid, It all comes from the energy industry,

1144
01:00:58,720 --> 01:01:02,240
Speaker 1: and then it underpins your four oh one K, your retirement,

1145
01:01:02,280 --> 01:01:06,880
Speaker 1: your investments. But it's also of critical importance, and particularly

1146
01:01:06,880 --> 01:01:09,120
Speaker 1: to me, because if you don't have a job, then

1147
01:01:09,160 --> 01:01:11,640
Speaker 1: politics matters a lot less to you than putting food

1148
01:01:11,680 --> 01:01:14,840
Speaker 1: on the table. And that's why I wanted to talk

1149
01:01:14,880 --> 01:01:19,000
Speaker 1: to rigzone dot com. Chadnorville, you are a great guest.

1150
01:01:19,040 --> 01:01:21,440
Speaker 1: I appreciate you devoting so much time to us. Let's

1151
01:01:21,440 --> 01:01:23,720
Speaker 1: talk again, and next time you're having a job fair

1152
01:01:23,760 --> 01:01:25,960
Speaker 1: here in Houston, if you'll shoot me an email, I

1153
01:01:26,000 --> 01:01:28,120
Speaker 1: will gladly promote it on the air because that helps

1154
01:01:28,120 --> 01:01:28,560
Speaker 1: our people.

1155
01:01:29,000 --> 01:01:31,680
Speaker 2: Yeah. So we do Houston at least at least three

1156
01:01:31,720 --> 01:01:34,920
Speaker 2: times a year, sometimes four. So we have one there

1157
01:01:35,000 --> 01:01:35,520
Speaker 2: March fifth.

1158
01:01:36,600 --> 01:01:38,880
Speaker 1: All right, as we get closer, I will Is it

1159
01:01:38,920 --> 01:01:43,200
Speaker 1: free to somebody to the to the interviewee, to the prospect, Yeah.

1160
01:01:42,960 --> 01:01:46,840
Speaker 2: Our candidates and professionals, it's absolutely free. We recommend you

1161
01:01:47,440 --> 01:01:49,280
Speaker 2: sign up, you know, create an account on rig zone,

1162
01:01:49,880 --> 01:01:51,840
Speaker 2: upload your CV, you know, set that up, and then

1163
01:01:52,120 --> 01:01:54,840
Speaker 2: you know, sign up, register for the event because you

1164
01:01:54,880 --> 01:01:57,080
Speaker 2: know we'll get you right in whatever you say, because

1165
01:01:57,080 --> 01:01:57,560
Speaker 2: they're busy.

1166
01:01:57,640 --> 01:02:01,640
Speaker 1: It's Houston especially, Yes, I love to hear that, Chad,

1167
01:02:01,680 --> 01:02:03,360
Speaker 1: I'm up against a break. Thank you for being our guest.

1168
01:02:03,360 --> 01:02:06,440
Speaker 1: Thank you for doing on short notice. Chadmoorville rig zone

1169
01:02:06,680 --> 01:02:07,240
Speaker 1: dot com.

1170
01:02:09,680 --> 01:02:09,919
Speaker 2: Yeah,