ABOUT THIS EPISODE
Global hiring is shifting — fast. In 2025, U.S. companies are moving away from India and Asia, turning instead to Latin America for tech talent, loyalty, and time-zone alignment.
In this episode of The Nearshore Cafe Podcast, host Brian Samson, Founder of Plugg Technologies, talks with Evan Greenberg, Director of Client Solutions at Plugg, about what’s really driving this transformation.
They discuss the massive rise in nearshoring, how AI and data roles are reshaping recruiting, and why Mexico, Brazil, and Argentina are becoming the new global tech hubs.
You’ll also learn about the Build-Operate-Transfer (BOT) model that’s helping startups and mid-market companies scale fast — without the headaches of compliance or setup.
From fake resumes to loyalty challenges and H-1B visa changes, this episode breaks down the biggest staffing stories of the year — straight from the front lines of hiring.
🎧 Listen now to hear how Latin America is redefining the future of remote work, loyalty, and innovation.
🎧 Host | Brian Samson – Founder of 💻 Plugg Technologies
🔗 https://www.linkedin.com/in/briansamson/
🎙️ Sponsored by Plugg Technologies – Connecting U.S. companies with top-tier software developers across Latin America.
🌐 https://www.plugg.tech
🌎 Follow The Nearshore Cafe Podcast
🎵 Spotify: https://open.spotify.com/show/6KYcgpmN77fJm6B25469B8
🎙️ Apple Podcasts: https://podcasts.apple.com/us/podcast/the-nearshore-cafe/id1775525954
💼 LinkedIn: https://www.linkedin.com/company/the-nearshore-cafe
🌐 Website: https://www.nearshorecafepodcast.com
🔗 All links: https://linktr.ee/nearshorecafepodcast
SHOW NOTES 🔗
TRANSCRIPT 🔗
00:00:08.880 --> 00:00:13.839
Welcome to another episode of the Nearshore Cafe Podcast.
00:00:14.080 --> 00:00:16.239
I'm your host, Brian Sampson.
00:00:16.480 --> 00:00:24.480
Before we get into this episode, let me thank our sponsor, Plug Technologies, PLUG.tech.
00:00:24.879 --> 00:00:29.199
Great way to connect Latin America talent with growing U.S.
00:00:29.440 --> 00:00:30.320
companies.
00:00:30.800 --> 00:00:45.600
If you want to know what's trending right now in the world of staffing, Latin America staffing, near shoring, AI, H1B visas, this is going to be a great episode for you.
00:00:45.920 --> 00:00:50.320
We've got Evan Greenberg also with our sponsor company, Plug.
00:00:50.719 --> 00:00:53.759
Evan is the director of client solutions.
00:00:54.240 --> 00:00:56.159
Evan, great to see you again.
00:00:56.240 --> 00:00:58.000
This is your second time on the show.
00:00:58.799 --> 00:00:59.280
It is.
00:00:59.439 --> 00:01:00.880
Thanks for having me back.
00:01:01.679 --> 00:01:02.799
Absolutely.
00:01:03.280 --> 00:01:04.959
Well, you're in it.
00:01:05.120 --> 00:01:13.519
You're talking to customers all day, prospects all day, uh, you're reading, you're right on the front lines.
00:01:14.239 --> 00:01:16.400
Tell us about 2025.
00:01:16.560 --> 00:01:20.319
If you could kind of sum up, we're almost 10 months through the year.
00:01:20.640 --> 00:01:25.200
Kind of sum up like what did the staffing industry feel like this year?
00:01:25.519 --> 00:01:31.599
And then uh I'll also get into later what you see coming down the road.
00:01:31.680 --> 00:01:35.040
But let's just kind of look look uh at the past for a minute.
00:01:35.280 --> 00:01:37.760
The last 10 months, how would you summarize that?
00:01:38.480 --> 00:01:39.200
Yeah, sure.
00:01:39.280 --> 00:01:44.239
So definitely uh feel like there's a huge shift to Latin America.
00:01:44.400 --> 00:01:54.319
Again, we we hear it every day, every week, in terms of companies really being attracted to the talent pool, attracted to time zone overlap.
00:01:54.959 --> 00:02:00.239
Um companies really want people that are gonna stay longer.
00:02:00.480 --> 00:02:11.840
Um really attracted to the idea that in Latin America I feel like people are a little bit more loyal, and you know, that's definitely a big thing.
00:02:12.000 --> 00:02:23.199
Um, I would say there's a huge shift from companies kind of going from India to Latin America as well for all different types of jobs, but definitely kind of see that as well.
00:02:23.439 --> 00:02:25.919
Yeah, um, I see that too.
00:02:26.319 --> 00:02:29.759
See, there's two things that I wanted to hit on a little more.
00:02:30.080 --> 00:02:33.680
You talked about the loyalty factor, and I agree.
00:02:33.919 --> 00:02:37.039
Tenure seems to be a lot quicker in the U.S.
00:02:37.599 --> 00:02:40.960
You know, we're only a few years removed from quiet quitting.
00:02:41.120 --> 00:02:43.280
Employees are constantly looking for new things.
00:02:43.439 --> 00:02:48.000
Also, you know, unemployment rate is still relatively low in the U.S.
00:02:48.479 --> 00:02:52.400
That means that recruiters are constantly working hard, you know, to poach talent.
00:02:52.639 --> 00:02:55.120
Tell me more about loyalty in Latin America.
00:02:55.280 --> 00:02:56.960
Like what contributes to that?
00:02:57.120 --> 00:03:01.120
Why are why is the talent a little bit more loyal than they might be in the States?
00:03:01.360 --> 00:03:01.599
Sure.
00:03:01.759 --> 00:03:10.080
Again, from my conversations in my experience, it just seems like people are a little more dedicated, super hardworking.
00:03:10.479 --> 00:03:15.599
Again, we we recruit across many different countries, mostly Mexico, Brazil.
00:03:15.840 --> 00:03:24.159
But yeah, just seeing a lot of just seeing a lot of people kind of just being more loyal than I would say US talent, um, and maybe other places as well.
00:03:24.319 --> 00:03:30.639
I would say one other thing uh in terms of kind of trends this year, um, and maybe I'm kind of getting ahead, but I'll mention it.
00:03:30.800 --> 00:03:33.280
Kind of the whole like build, operate, transfer model.
00:03:34.800 --> 00:03:45.520
A lot of companies are wanting to secure like office uh office space in certain countries, but they don't want to handle compliance, payroll, and tech setup.
00:03:45.680 --> 00:03:47.280
That's becoming more popular.
00:03:47.520 --> 00:03:59.280
A lot of companies, you know, may you know have a huge operation, but they might want an office or something to have an entity and kind of scale up.
00:03:59.439 --> 00:04:04.479
And that's actually kind of a new offering for us, just because we've seen a lot of interest in that area.
00:04:05.039 --> 00:04:05.280
Yeah.
00:04:05.439 --> 00:04:10.800
Do you see, I mean, the optionality, I think, of that is really key for companies.
00:04:11.280 --> 00:04:18.959
Do you see that as more of a larger company request or are small startups looking at that as well?
00:04:19.680 --> 00:04:21.839
Yeah, I think I mean, I think it can be both.
00:04:22.000 --> 00:04:27.439
We definitely, we definitely see a lot of for for larger companies, they may already have an entity.
00:04:28.480 --> 00:04:31.680
Or they might have multiple offices in Latin America or in a country.
00:04:31.920 --> 00:04:42.000
For that small and medium, you know, they may only have operated in the US, maybe UK, and they want to build, um, build out their infrastructure and people in Mexico, for instance.
00:04:42.240 --> 00:04:43.519
So it might make more sense for them.
00:04:43.680 --> 00:04:48.240
Obviously, firms, you know, bigger companies might have multiple offices in one country.
00:04:48.399 --> 00:04:51.199
So, like I said, they might be more down the path.
00:04:51.600 --> 00:04:53.040
Yeah, yeah, for sure.
00:04:53.680 --> 00:05:03.759
And then, you know, we we also talked about um, you know, we've talked about loyalty, we've talked about um kind of this trend towards near shoring.
00:05:04.560 --> 00:05:06.560
But let's dig into that a little bit more.
00:05:07.279 --> 00:05:15.360
Um are you seeing certain countries that are like more popular than others that are being requested and kind of why?
00:05:15.439 --> 00:05:16.800
You know, why why is that happening?
00:05:17.040 --> 00:05:20.240
Yeah, for well, not for some reason, but for a good reason.
00:05:20.560 --> 00:05:20.720
Yeah.
00:05:21.120 --> 00:05:22.959
I've played Mexico and Brazil recently.
00:05:23.199 --> 00:05:42.160
I feel Brazil, I I'm gonna touch on this a little later, but from Brazil's perspective, you know, seven million people speaking English, 150 million internet users, um, I think more than 16,000 startups, you know.
00:05:42.399 --> 00:05:49.600
Obviously, they're uh, you know, on a great path to being, you know, a tech powerhouse if they're not already, right?
00:05:50.639 --> 00:05:55.759
A lot of roles in Brazil are are being, you know, kind of data cloud AI driven.
00:05:55.920 --> 00:05:58.959
So I think a lot of that comes from education system.
00:05:59.680 --> 00:06:14.800
I would say um, I'll say one more thing would be um the fact that um you know companies are definitely kind of looking beyond, let's just say, you know, India and certain places in Asia.
00:06:15.040 --> 00:06:25.680
Um and uh Brazil also being in a similar time zone to East Coast um and just the whole US, um, you know, makes it really attractive.
00:06:26.160 --> 00:06:26.800
Yeah, yeah.
00:06:26.879 --> 00:06:28.240
How about how about for Mexico?
00:06:28.480 --> 00:06:30.000
Yeah, I think for Mexico similar.
00:06:30.160 --> 00:06:36.800
Obviously, Mexico City, 25 million people, a really good education system, uh really good university in Monterey as well.
00:06:36.879 --> 00:06:42.560
Um, definitely makes for kind of that that near shore kind of hub.
00:06:42.800 --> 00:06:50.319
Even even in other places in Mexico, seeing a lot of talent in Guadalajara, even in the Yucatan, in Merida, good talent as well.
00:06:50.480 --> 00:06:54.399
So yeah, I think that's yeah, we're we're also seeing that.
00:06:55.680 --> 00:07:25.600
Yeah, I I wanted to um also dive a little bit into something that I think is on the minds of a lot of people, you know, as the Trump administration is uh revising the H1B uh posting fee, which is essentially what it is, three thousand dollar uh in the past, jumping enormous to a hundred thousand dollar uh H1B posting fee.
00:07:26.160 --> 00:07:27.120
What does that mean?
00:07:27.279 --> 00:07:29.759
Like, what does that mean for staffing companies?
00:07:29.920 --> 00:07:31.199
What does that mean for India?
00:07:31.360 --> 00:07:32.879
What does that mean for near shore?
00:07:33.040 --> 00:07:34.480
Would love to get your take.
00:07:35.360 --> 00:07:40.319
Yeah, no, I think it definitely I think it changes the game for US companies to look elsewhere, right?
00:07:40.399 --> 00:07:43.439
Where traditionally maybe they're in India, other countries.
00:07:43.600 --> 00:07:55.360
I think it definitely opens the floodgates for Latin America because you know, they can be you can access talent much quicker, lower cost, same kind of cultural alignment.
00:07:57.279 --> 00:07:59.120
And time zone, which I already mentioned.
00:07:59.199 --> 00:08:10.480
And I think it'll continue to kind of be a big thing, especially in the AI kind of data front, where companies with the boom of AI is just creating more data roles, data data engineer, cloud engineer type roles.
00:08:10.639 --> 00:08:17.680
Um, so I definitely feel like that's um gonna become more prevalent in yeah, yeah.
00:08:18.959 --> 00:08:24.560
Well, let's talk about the conversations you're having with hiring managers.
00:08:25.279 --> 00:08:28.240
Uh, you know, first off, kind of set the stage for us.
00:08:29.040 --> 00:08:32.240
Are you talking to startups?
00:08:32.320 --> 00:08:33.759
Are you talking to big companies?
00:08:34.000 --> 00:08:37.759
Are you talking to engineering leaders, other roles?
00:08:38.000 --> 00:08:40.080
Kind of set the scene a little bit for us.
00:08:40.320 --> 00:08:42.559
And then tell us what's on their mind.
00:08:42.639 --> 00:08:44.559
You know, what are they thinking about right now?
00:08:45.440 --> 00:08:45.759
Sure.
00:08:46.000 --> 00:08:51.440
So yeah, I would say it's yeah, it's a mixture of small to medium, some enterprises as well.
00:08:51.600 --> 00:08:54.000
But yeah, I would say mostly small to mid-market.
00:08:54.320 --> 00:09:05.679
Yeah, for us, a lot of here, things that I'm hearing are frustrations with when it comes to vetting taking too long, high turnover, project delays, things of that nature.
00:09:07.440 --> 00:09:15.360
Even in several cases, I heard um a head of engineering mention that he had a quota on hiring.
00:09:15.840 --> 00:09:21.840
So again, when you think about when you think about that, you know, personal impact, it definitely kind of changes the game.
00:09:22.080 --> 00:09:29.600
So yeah, I mostly speak to CIOs, CTOs, head of engineering types when it comes to software engineering jobs.
00:09:29.919 --> 00:09:34.399
Yeah, tell us more, like what are they worried about, what are they excited about?
00:09:34.639 --> 00:09:34.960
Sure.
00:09:35.200 --> 00:09:53.840
Yeah, I think the biggest worry is I would say wasted wasted time, almost yeah, well, wasted time in terms of taking away their time from technical uh projects and kind of critical thinking about the business um and having to spend you know man hours on recruiting.
00:09:53.919 --> 00:10:01.039
It's not something that maybe a head of engineering wants to spend 10 hours a week doing.
00:10:03.200 --> 00:10:04.799
So I definitely hear that a lot.
00:10:04.960 --> 00:10:10.639
I would say in many cases, companies want kind of the ability to like plug and play.
00:10:10.720 --> 00:10:17.279
So they don't want they want someone that can come in, that stays, that's loyal, but that can also mesh with their team.
00:10:17.440 --> 00:10:19.519
So I definitely have seen that as well.
00:10:19.759 --> 00:10:28.960
I would say another one, and we kind of already talked about it, but a lot of people are getting frustrated with time zone issues with South Asia.
00:10:29.039 --> 00:10:33.039
Um, and I keep mentioning it because it's probably it's probably one of the number one things I hear.
00:10:33.120 --> 00:10:34.879
I probably hear it once a week, right?
00:10:35.120 --> 00:10:45.039
So from a from a project standpoint, you know, you're missing out on hours and hours and hours because of misaligned time, and that's definitely a frustration.
00:10:45.200 --> 00:10:54.639
Um I would say another one is not bad resumes, but resumes that also waste hiring managers' time.
00:10:54.960 --> 00:10:55.279
Yeah.
00:10:55.519 --> 00:11:08.240
So um I've seen that be a big one where again, a head of engineering doesn't want to spend X hours combing resumes and then figuring out that even in some cases like fake resumes.
00:11:08.399 --> 00:11:17.919
And so having an extra layer to kind of sift through the resumes, um save them a lot of time is definitely something that I hear about.
00:11:18.320 --> 00:11:22.720
Uh yeah, are you s yeah, I I I didn't realize this trend.
00:11:23.360 --> 00:11:25.679
Tell us more about the the fake resumes.
00:11:25.759 --> 00:11:29.279
Is this because of AI or like what what's going on with this?
00:11:30.000 --> 00:11:30.720
I think so.
00:11:30.799 --> 00:11:41.279
I mean, honestly, a client complained to me a couple weeks ago about it, and they pretty much said that you know people are even if they don't live in the US, they might say they do.
00:11:41.759 --> 00:11:43.279
So it's so it's wasting time.
00:11:43.519 --> 00:11:48.000
And then there's all sorts of you know job scams and whatnot.
00:11:48.159 --> 00:11:58.799
So again, uh using a staff partner like us, we kind of sift through that, uh, just make it seamless for a for a hiring manager to uh bring on talent.
00:11:59.279 --> 00:11:59.759
Yeah.
00:12:00.159 --> 00:12:09.360
You know, and I think often companies don't calculate the cost of their hiring manager's time very, very you know, correctly.
00:12:10.080 --> 00:12:13.919
Um they might just look at it like the true hourly rate.
00:12:14.399 --> 00:12:19.600
Like their hiring manager makes$150,000 a year, so it's$75 an hour.
00:12:20.480 --> 00:12:32.159
But the opportunity cost of that hiring manager directing the team, moving roadblocks, creating a vision, who ain't, dealing with executives.
00:12:33.039 --> 00:12:37.759
I mean, this is really like a thousand dollar an hour type work, right?
00:12:37.840 --> 00:12:42.960
That they're being pulled away from by dealing with fake resumes and all this other stuff.
00:12:43.600 --> 00:12:43.919
Absolutely.
00:12:44.320 --> 00:12:56.000
How does how do how do you and the rest of the plug team um vet out some of the fake resumes, fake candidates to save that thousand dollar an hour time?
00:12:56.960 --> 00:13:05.679
Yeah, I think it comes down to attention to detail, understanding the client's job description, having multiple conversations with us before they even kind of get to the client.
00:13:05.840 --> 00:13:06.320
Yeah.
00:13:06.639 --> 00:13:10.320
So I feel like that definitely um yeah, that definitely fills the gap.
00:13:10.480 --> 00:13:11.600
Yeah, yeah.
00:13:12.159 --> 00:13:14.399
Creates a much tighter conversion, right?
00:13:14.480 --> 00:13:18.159
Of candidates that that interview are much more aligned.
00:13:18.240 --> 00:13:25.679
So then it just becomes about culture and domain knowledge, not is this person in Sri Lanka really?
00:13:25.840 --> 00:13:29.039
But they're saying that they're in, you know, Minnesota or Mexico.
00:13:29.519 --> 00:13:29.679
Right.
00:13:30.000 --> 00:13:30.480
Exactly.
00:13:30.720 --> 00:13:34.320
And then one other one other thing, sorry, one other thing I didn't touch on earlier.
00:13:34.480 --> 00:13:46.559
One thing I hear a lot and seen a lot uh recently, um with small to medium companies, even larger, is just you know the cost of an engineer in a major city in the US, right?
00:13:47.039 --> 00:13:52.399
I mean, on average, probably 150 to even 500 uh K a year.
00:13:52.799 --> 00:13:53.039
Right.
00:13:53.279 --> 00:13:55.759
In obviously in Latin America, it's much less.
00:13:56.799 --> 00:14:11.279
But even beyond that, you know, the overall talent in Latin America is super strong with with big hubs like I already we already mentioned, kind of Mexico City, Argentina Argentina as well, and and Brazil.
00:14:11.440 --> 00:14:12.960
So just wanted to mention that as well.
00:14:13.200 --> 00:14:14.399
Yeah, yeah, for sure.
00:14:14.559 --> 00:14:15.200
For sure.
00:14:16.080 --> 00:14:25.679
Well, I mean, you've had uh a nice success story um in the recent months, uh bringing near shore talent to a client.
00:14:26.159 --> 00:14:27.120
Tell us more about that.
00:14:27.200 --> 00:14:30.559
Kind of set the scene, what kind of industry were they in?
00:14:30.720 --> 00:14:32.320
What kind of size are they?
00:14:32.559 --> 00:14:35.600
What were they looking to fill and and what you did there?
00:14:36.159 --> 00:14:37.840
Yeah, yeah, happy to share one.
00:14:37.919 --> 00:14:40.000
Um, of course, I'll keep the name confidential.
00:14:40.320 --> 00:14:48.000
Yeah, I recently um worked with a uh cloud-focused tech firm uh out of the US uh West Coast.
00:14:48.320 --> 00:14:51.919
They were kind of building out their engineering team.
00:14:52.080 --> 00:14:57.200
So full stack, front-end, and uh principal engineer.
00:14:57.440 --> 00:15:03.440
Some things they were running into were kind of regional hiring blocks, I would say.
00:15:03.600 --> 00:15:07.120
So they were open to the idea of near shore.
00:15:07.279 --> 00:15:12.320
They were also exploring Europe as well, but ultimately decided with near shore.
00:15:12.399 --> 00:15:14.879
Um, a couple things that kind of stood out for them.
00:15:15.039 --> 00:15:25.759
Again, they, you know, were frustrated with some previous outsourcing issues, most of them kind of communication in time zone, I would say.
00:15:26.000 --> 00:15:34.159
I would say um, I guess another thing was that you know, lost productivity of you know, waiting too long to hire somebody.
00:15:34.320 --> 00:15:34.720
Yeah.
00:15:34.960 --> 00:15:36.720
Was kind was definitely affecting them.
00:15:36.879 --> 00:15:42.399
In terms of the value we brought, in terms of the value, you know, I would say a kind of rapid turnaround.
00:15:42.559 --> 00:15:48.399
I mean, we quickly quickly made them a team of two to three in, you know, a matter of weeks, not months.
00:15:48.559 --> 00:15:54.080
Another thing that kind of stood out there, you know, we we kind of aligned a job description from the get-go.
00:15:54.320 --> 00:16:00.720
That was really nice to you know not have any issues in terms of misalignment.
00:16:01.120 --> 00:16:03.120
Um, just kind of working together there.
00:16:03.279 --> 00:16:07.279
I would also say, again, some reasons kind of they picked us.
00:16:07.440 --> 00:16:14.720
Again, it came down to it came down to uh the ability to uh you know build a team quick, find really good talent.
00:16:14.799 --> 00:16:16.799
In this case, you know, we found talent in Brazil.
00:16:16.960 --> 00:16:19.519
They're very cloud-centric, like I mentioned.
00:16:19.759 --> 00:16:24.720
So they were looking for pretty specific kind of um technical requirements.
00:16:24.879 --> 00:16:30.159
Again, with plug, we don't we don't have a bench necessarily, so we go recruit for each for each role.
00:16:30.320 --> 00:16:33.360
I feel like that stood out because we found you know several excellent people.
00:16:33.519 --> 00:16:39.519
I'll say some other things that kind of stood out were the yeah, just kind of listening to the client, right?
00:16:39.679 --> 00:16:42.159
For specific traits that they were looking for.
00:16:42.320 --> 00:17:00.159
You know, some things they were telling me were like someone that really shows initiative, being able to prioritize system design, um, you know, other things like that, and just kind of throughout the the process being able to um, you know, find the right people for them and make them happy with that.
00:17:00.480 --> 00:17:08.400
There's something that I wanted to dive deeper into what you just said, and that was they wanted engineers that showed the initiative.
00:17:08.559 --> 00:17:17.440
And I think maybe a common misnomer is you know, engineers in the US kind of have the sense of urgency, they're self-starters.
00:17:17.599 --> 00:17:24.880
Once they kind of build the build an architect, the code base, then you throw it over the wall to people to like maintain it, right?
00:17:25.039 --> 00:17:27.839
And um, but maybe maybe that's not correct.
00:17:28.240 --> 00:17:37.680
Uh companies are able to get self-starter, innovative engineers that can build things from Latin America.
00:17:37.920 --> 00:17:41.839
Tell us tell us about that perception and you know, myth versus reality.
00:17:43.039 --> 00:17:53.920
Yeah, I think in this case, I think in this case it was interesting because they actually ended up going with or they actually ended up picking engineers that were, I would say, you know, pretty young, right?
00:17:54.000 --> 00:18:01.759
But they were young, but they were self-starters, showed that initiative, serious about their work, and I feel like that was something that they really valued, right?
00:18:02.160 --> 00:18:23.359
So again, you know, a lot of companies may have you know 10 years on a on a JD, but um I feel like you know, in this case, they were really they really knew what they were looking for and were open to um, you know, really good young talent.
00:18:23.920 --> 00:18:24.400
Yeah.
00:18:24.640 --> 00:18:26.079
Okay, okay, good.
00:18:27.039 --> 00:18:30.400
All right, well, let's talk more about uh AI.
00:18:31.200 --> 00:18:34.559
It's on everybody's mind, it's not a new thing anymore.
00:18:34.720 --> 00:18:41.200
You know, companies are using it, and they want to stay, they want to stay current or maybe even ahead.
00:18:41.680 --> 00:18:50.400
What are they doing to make sure they've got the resources, they've got the talent, and how does nearshoring play into this, this arms race for AI?
00:18:50.640 --> 00:18:52.240
Yeah, no, I think it plays a major role.
00:18:52.400 --> 00:18:58.480
Everyone's probably seen the open AI investment recently in Argentina, the$25 billion.
00:18:58.640 --> 00:19:07.279
I think that will only kind of increase the awareness of AI and kind of data jobs kind of moving to Latin America.
00:19:07.440 --> 00:19:15.119
I also think with the boom of AI, and I kind of mentioned this earlier, it's leading to a lot of kind of new new titles.
00:19:15.759 --> 00:19:22.000
So, like prompt engineer, even um, there's all sorts of new titles kind of spinning off from AI.
00:19:22.160 --> 00:19:22.799
Yeah.
00:19:23.759 --> 00:19:33.039
I feel like um, yeah, I mean, we see it, we see it every week in terms of, you know, I need an AI engineer, I need a data engineer.
00:19:33.200 --> 00:19:40.480
We're also seeing, you know, a lot of interest in uh, you know, data bricks, snowflake type roles as well.
00:19:40.559 --> 00:19:47.359
I mean, that also comes from kind of the AI boom and just kind of more, more data, more rise on it.
00:19:47.519 --> 00:19:47.680
Yeah.
00:19:47.839 --> 00:19:55.200
But yeah, with the AI boom, I definitely feel like it's obviously it does take a lot of jobs, but it also creates a lot of jobs.
00:19:55.359 --> 00:19:56.559
Yeah, yeah.
00:19:57.039 --> 00:20:00.880
As we talked about, Evan, you're you're our returning guest on the show.
00:20:01.200 --> 00:20:05.119
Last time we really dug into you're a world traveler.
00:20:05.279 --> 00:20:07.039
You've been to a lot of different places.
00:20:07.279 --> 00:20:17.119
Is there any place that we didn't get into last time you were here that you'd like to share more to the listeners and maybe maybe drive some interest over there?
00:20:18.000 --> 00:20:19.279
Yeah, there definitely is.
00:20:19.440 --> 00:20:21.839
So I don't I don't think I touched on this last time.
00:20:21.920 --> 00:20:25.920
We we did talk about several countries and cities and whatnot.
00:20:26.079 --> 00:20:27.599
I wanted to talk about Oaxaca, actually.
00:20:27.759 --> 00:20:41.200
So I went to Oaxaca a couple years back before I had a baby, and it was kind of funny how we stumbled upon it, but our we were supposed to go to Mexico City and it was during COVID, and obviously everything shut down.
00:20:41.359 --> 00:20:41.759
Right.
00:20:41.920 --> 00:20:46.079
Well, the hotel that I was supposed to go to shut down and opened up in Oaxaca.
00:20:46.160 --> 00:20:50.079
So I had this credit that I had to use like in a two-year time frame or something, right?
00:20:50.319 --> 00:20:56.960
But then I started doing more digging on Oaxaca, and you know, I'm really into food culture, fan of Mezcau.
00:20:57.039 --> 00:20:57.200
Yeah.
00:20:57.519 --> 00:20:59.920
So we went to Oaxaca, right?
00:21:00.000 --> 00:21:01.119
We went to Oaxaca City.
00:21:01.200 --> 00:21:03.119
I just think it's a really underappreciated place.
00:21:03.200 --> 00:21:11.200
I think Oaxaca in general has they speak like I think they have 16 different like indigenous groups in Oaxaca, which is pretty interesting.
00:21:11.359 --> 00:21:13.200
I thought the food culture was amazing.
00:21:13.359 --> 00:21:20.400
When we landed, I mean, I almost felt like we were in like a huge, huge city, but it was really Oaxaca City and it wasn't that big.
00:21:20.559 --> 00:21:24.000
I almost felt like I was in like a Miami bar, but I was in Oaxaca City.
00:21:24.079 --> 00:21:33.440
So yeah, I definitely, definitely recommend uh Oaxaca for anyone thinking about travel, you know, outside of Mexico City or Cancun.
00:21:33.519 --> 00:21:36.799
It's just a great place, really good, really good coffee as well.
00:21:37.039 --> 00:21:40.400
Um yeah, I just wanted to wanted to share that.
00:21:40.880 --> 00:21:41.200
Okay.
00:21:41.519 --> 00:21:41.839
Cool.
00:21:42.000 --> 00:21:42.240
Cool.
00:21:42.319 --> 00:21:47.519
Well, hopefully that inspires some people, maybe myself, to go check it out.
00:21:49.680 --> 00:21:50.799
Yeah, I do recommend it.
00:21:50.960 --> 00:22:00.160
Yeah, any any final thoughts, notes that we didn't touch on in the show that you want our listeners to know before we we wrap up?
00:22:00.400 --> 00:22:02.079
I think we I think we touched on a lot.
00:22:02.160 --> 00:22:08.079
I mean, again, there's a huge surge of business kind of moving to Latin America.
00:22:08.319 --> 00:22:10.640
I mean, I've seen it like in my family.
00:22:10.880 --> 00:22:15.279
My wife works at a at Lenovo, big computer company.
00:22:15.440 --> 00:22:20.319
They've had teams in Costa Rica for years, mostly on the sales side.
00:22:20.400 --> 00:22:21.759
Uh, but even HubSpot.
00:22:21.839 --> 00:22:28.319
They've had teams of customer success managers, salespeople in Colombia for a number of years as well.
00:22:28.559 --> 00:22:39.599
So I think it's no, I think it's no um, I think it's no surprise that companies are moving to Latin America, and I do think we'll see you know more of that moving into next year.
00:22:39.839 --> 00:22:41.279
Good stuff.
00:22:41.599 --> 00:22:45.039
Well, Evan, thanks so much for your time here on the show.
00:22:46.240 --> 00:22:54.160
Summarizing trends, uh, reviewing this 2025, looking ahead, uh, some really great stuff.
00:22:54.480 --> 00:22:59.119
Thanks again to our sponsor, Plug Technologies, P L U G G dot tech.
00:22:59.839 --> 00:23:02.960
Great way to connect talent all over Latin America with U.S.
00:23:03.119 --> 00:23:03.920
companies.
00:23:04.160 --> 00:23:06.640
This is the Nearshore Cafe Podcast.
00:23:06.799 --> 00:23:08.160
I'm Brian Sampson.
00:23:08.319 --> 00:23:09.599
Thanks for listening.