AI Announcer (00:10)
Welcome to Prompt This, the place you come to when you're done really done with all the AI hype and you're ready for something real. And listen, I'm this week's AI intro voice, showing up, putting in the work, just like anyone who wants to make something that lasts. Greg? Greg's that seasoned battle-tested guy you want in your corner when you're trying to scale a sales team or crack the Silicon Valley playbook.
and Clint's the startup veteran who's taken big, messy, ambitious ideas and turned them into the kind of ventures people said would never work until they did. Together, they cut through the noise, cut through all the distractions to bring you real analysis, real playbooks on how to use AI to launch new ideas, grow your business, and stop getting left behind. Because staying ahead? It's not luck. It's grit. It's wanting it more. Now, here are your hosts.
Clint (01:08)
I'm Clint.
Greg (01:10)
I'm Greg.
Clint (01:11)
In this episode, we challenge a big assumption about AI that it automatically makes global business simple. Well, it doesn't. AI can translate the words, but it doesn't solve the real complexity underneath.
Greg (01:25)
You know, what stood out to me most in this episode is how honest the conversation is about AI. Our guest points out the fact that there's a lot of demo first and reality second happening. The product looks incredible in the pitch. When it hits real workflows, humans are still doing a lot of the heavy lifting.
Clint (01:45)
There you go. No hype in this one. Just a clear look at where AI is real, where it's overrated, and where humans matter the most.
Greg (01:53)
And be sure to stick around to the end of the episode where we go over the AI challenge. Now let's get into it.
Clint (02:03)
Welcome to today's episode of Prompt This. Josh Gould is our guest and is the group CEO of The Big Word, one of the largest language services and multilingual technology companies in the world. He's also an angel investor seeking out the next big startup or real estate opportunity. At The Big Word, his team support everything from governments to healthcare systems to global enterprises where accuracy frankly isn't optional and AI hallucinations aren't just tech bugs that need to be fixed.
their real liabilities. He's been saying for years that AI will transform translation, but it won't necessarily replace humans in the process. Josh, it's great to have you on the show. Thanks for joining us.
Joshua Gould (02:46)
Thanks for having me, Clint and Greg.
Greg (02:48)
All right. Well, you know what, Clint? I think Josh is the perfect person that could help us solve one of the arguments that you and I have a lot, a lot. And it's a longstanding disagreement we have about doing business globally. I mean, it should be easier with AI having the ability to translate everything. We can't get to an agreement on it. I always feel like, you know, AI should be making business easier to do around the world since everything can be instantly translated. Now it's everything.
Clint (03:18)
Josh, I want to hear your thought on this in a second, but my point of view has always been it's more complicated than just language. It's culture. I've had the chance to work in Europe. I studied and worked in Germany and then later in my career, I worked in Ireland. And even in the case where we spoke English, it wasn't the same English. There's a lot of differences in culture that slow things down. So I'm curious what you run into running a multinational business.
Joshua Gould (03:44)
Yeah, I mean, there's culture, there's laws, there's product changes because one product can work really well in Europe and it'd be a disaster in the US and not even needed at all in Asia. So, you know, I ask you one question and this is to both of you. Okay, so you translate everything and it's beautiful and then you go and sell it, but then they call you. What do you do?
Clint (04:09)
Great point. If you don't have staff that can answer questions in another language, you're kind of stuck,
Joshua Gould (04:14)
Right? Exactly. mean, my neighbor in like 20 years ago, started selling their antiques to China, but the problem always was they would call her up or they would want some certificate to make sure it was real. you know, she quickly learned it's not that easy as just translation. You know, the dot-com boss didn't really just happen because people had built products that weren't usable or solving real problems.
But it also happened because the logistics and the supply chain hadn't caught up with the ability to sell globally. So you've got to have the logistics as well, unless you're selling digital products. But I would say that every company is international, whether they know it or not right now, because as soon as they put a website out, people are reading that globally. People are judging them globally. Soon as you've got, even if you have a personal brand, this podcast, it's going to be heard all over the world. I'm sure it's heard in over 80 countries.
Greg (05:14)
So, well, you make a good point there. I think.
think he's selling me past that. Cause if I look back into my past, there's so many examples that were in my face about culture and language. Like when sales became offshore-able, when it was very popular to move half of my organization offshore and they had the same playbooks. So, so yeah, I think, I think, I think it lands right in the middle.
Translating everything can accelerate it, but you still need people to understand the culture and be able to.
Joshua Gould (05:57)
I would agree. You need to be a local global company to be truly successful. You know, it used to be a dream of most local companies to go national and then go international. Whereas now you just, I think you're that by default.
Greg (06:13)
Definitely, Josh, definitely, you definitely know your stuff and it's very apparent you've got a great global command of doing business. So, maybe for our listeners that are meeting you for the first time, how would you describe your work over at The Big Word and just your work in general?
Joshua Gould (06:32)
Yeah. So we have a mission statement and we're very mission driven. We exist to eradicate the final barrier of communication, which of course is language. You're on the West coast. I'm on the East coast. I may as well, I could be in Kathmandu. We could still have this call. You know, the internet has created a digital universe without any boundaries, without any borders. And so we realized very early on.
that people will then physically try and imitate what's happening in the digital space. So people are going to move. You know, I think all three of us are transplants where we live. So there's immigration. Now in America, we pretty much all speak English, although I live in Miami, so I don't hear much English. And you only have to go north to Canada where there's two main languages, know, French and Canadian English. So
It's a real issue. It's a real problem. And the problem isn't just one of business and commerce. It's one of crime. It's one of healthcare. It's one of society in general. So that's what we exist to do. what we realized early on in this journey and this mission was there are a number of roadblocks that we need to get rid of in order to meet the mission. The first is you have to make it very available.
Language services were not available. You know, you had to sign up. would take months to sign up historically. Then you would have to send your workout for a quote. And in the early days when I started, this is going to age myself, people would sit around our office with clickers. know, those club clickers where they count you in and out of the club. Probably a long time, Greg, since you went to one, but
Greg (08:26)
Go back now.
Joshua Gould (08:27)
Yeah, yeah. So we, you know, they're using clickers to count the words and then charge by the word and we could use machine learning to figure out what content had been translated before and then segment that so we could give it an accuracy score based on context. And that actually made it very cheap. In fact, it brought down the unit rate by 70 % overnight. So when people ask me about AI and is it going to ruin my industry, was like, well,
Clint (08:55)
Sounds like it probably hit your revenue then, didn't it?
Joshua Gould (08:58)
No, and that's the crazy thing. Our revenue doubled every 18 months for about five years after that tech came out.
Clint (09:06)
So you brought in new technology, made the cost of doing translations lower, and on the flip side, you're able
Greg (09:12)
Maybe the capability of the word words you could you could charge for double
Joshua Gould (09:18)
Well, I remember Honda said to me, cause I was very nervous to tell Honda, which was my biggest client and we just acquired a company to get them. they said, and I won't do the accent because I don't want to get into too much trouble. But, they said to me, Mr. Gould, we only do about 1 % of all of our needs and requirements because that's all we have budget for. And, ⁓ they weren't wrong. And demand exploded.
Then came the spoken word. So interpretation was very expensive. I mean, to hire a UN style interpreter, was thousands of dollars a day. You could go to a company and get over the phone interpretation for about $5 a minute. So we introduced virtual call centers, allowed people to work from home. We paid people to the second on like a 1099 or if you're outside the U S that's a freelance contract.
And we bought it down to $1 a minute. And today it's, you know, half of that. So we made it cheaper, not just more accessible. We would integrate into the backend of Five Nines and Zoom and, you know, many, you know, all, know, Microsoft Teams. So you could easily get it in your call center. We would allow it to be hard coded into buttons of government call centers. So now it's cheaper.
and it's also more accessible. then AI interpretation, interpretation is the spoken, whereas translation is the written word. AI interpretation now exists. It's only really existed in a commercially viable way for a month. We're not even a year into that.
Greg (11:00)
Wait, why don't you explain AI interpretation? What do mean by that?
Joshua Gould (11:05)
So, so when you speak, like we could have an AI interpreter, it will mute my mic, listen to me, and with a three second delay, it will say what I say in a different language.
Greg (11:18)
That's fascinating. That is fascinating. We do need to bring one of those on another call. would be really. Yeah. This reminds me back like, you know, sales conferences early in my career. You always had, you know, the international teams come in and, and, and there was a couple of translators up there and everybody had a wireless headphone on and, and the person was translating about five words behind. Now AI can do this.
Clint (11:22)
Cool.
Joshua Gould (11:44)
Yeah. And that was incredible cost. couldn't, there wasn't, it was fine if you were spending a thousand dollars on going to the conference, but it's not fine to have on an average government call where they're calling up to, ⁓ report that someone's left some garbage on the street, you know, on their three one one or whatever number you dial in San Francisco. So, you know, we put all of this into an application called WordSync. We use AI orchestration tools because, you know,
We believe in being agnostic with the engines. There are many, many different AI engines from Anthropic to Gemini to Chachi BT as the big ones and Grok and each one then has language sets. Healthcare, as an example, justice, maybe legal. We built the orchestration tool, which is actually AI to figure out which engine to use when.
You know, so in a medical setting or a court setting, there's mission critical and they want human in the loop or they want full human still. And we will get there eventually, I think with AI, but I actually think we are, and I'm very pro AI because I spend a lot of money in it and I want my valuation to be very high. But if I'm being really honest and I'm probably going to get shot here by my investors, I still think we are 10 to 15 years away.
Clint (13:09)
pretty interesting how that it seems to be going slower. Adoption of AI is going slower than people might have expected.
Joshua Gould (13:18)
Yeah, well, I've got a funny story on that. went to see a company to invest in last week. It's an $80 million revenue company and they spent a couple of million dollars on AI and they demoed it beautifully. And I said, well, how much of this are you selling? And he said, AI is not for using, it's for selling. So basically people were buying their products because of their AI and their demo, but then just using the non AI version of them.
Greg (13:46)
I that's happening a lot. I think that's happening a lot more in the industry. know, I think as Clint and I dive into this and yeah, we're getting excited about things that we see on LinkedIn and we try, try different solutions and you know, they're really exciting and fun to play with. But, ⁓ when you start to try and attach a whole workflow to it and everything, you end up doing a lot more. A human in the loop becomes maybe AI in the loop to the human. That's what I.
Joshua Gould (14:15)
Yeah,
and my theory is, is that there's a lot of sabotage going on. Hmm. Workplaces where...
Clint (14:24)
Workers keeping it out, huh? You will find the reasons why they don't want to see AI in the business because they're worried about losing their job. Is that what you're talking
Joshua Gould (14:32)
I
think worse than that, they're bringing it in, but they're not plugging it into all the data sets. So they know it then fails. There's ways to make it look like you're trying to adopt it, but at the same time, make it fail.
Clint (14:43)
So let's take it back to your business here for a minute. I want to dig into this. So you've described a scenario that in your piece of the professional services industry, specifically the translation services component of the overall professional services industry, the demand is so high for so much translation, but the willingness to pay for it is so low.
That is technology comes in and makes it easier and easier and more and more stuff gets translated. You're just filling the bucket right back up to the point where people are getting more and more translated. And so that's been keeping your industry going through various technology disruptions over the last 20, 30 years. So that kind of story, right.
Joshua Gould (15:26)
Yeah. Capture.
Right. Yeah. mean, the data points of this are, ⁓ you've got global content is growing by about 75 % a year. So you've got this explosion of content is explosion of communication. And it's also not exploding in just written, you know, you we're creating a video now. It will be also audio. may be transcribed, maybe subtitled. It may be dubbed.
and on YouTube you can read the summaries now. So sometimes I'll click on a video and I'll read the summary and I'll just won't bother watching the whole video because I got the information I wanted. Other times it's more entertaining and there's good looking fellas like you Greg England and you just want to see you say it. So that you know...
Greg (16:13)
do that with Clint's email most of the time now. I just tired of reading it, but no, this is interesting. know, just that, that, that explosion of translatable data. I mean, this reminds me back like when, you know, early in my career, was working on, ⁓ you know, we're working on, you know, backup systems, right? And we were, we were the software side that duplicated.
Clint (16:17)
the machinery after you
Greg (16:42)
Any piece of data that came out there, our goal was to duplicate it three to four times. So we would fill up the data centers disc. Yeah. Put it over here, put it over here. And you know, that just makes so much sense. Now, like what you were just saying, like even a video needs to be translated. It needs, you know, dubbed, you know, how many versions of this already?
Joshua Gould (17:05)
I actually said to my CTO the other day, if every interpretation, you know, which is a spoken word, we recorded and put on an old fashioned tape and every translation was printed out, how long would it take us to fill an Amazon fulfillment center? And he said, we'd probably do it within the day. You know, and I remember when I first started with the big word, we, we had a one terabyte
And we used to sell on that. Like we have so much storage. We're to keep your content forever. We have a one terabyte disc. You know, and now like you're talking like we probably fill that one terabyte disc in a minute.
Greg (17:44)
In a minute. Yeah, exactly. Yeah.
Clint (17:47)
So you've got this unlimited demand in front of you guys, which is a great place to be. I hadn't really thought about the... I'd always kind of, I guess, thought of the translation industry as one that was somewhat fixed in size, but you're saying it's so large, it's grown so fast, puts you in a great position despite these technology disruptions. But how are you thinking about deploying AI within your business? So there's the actual AI translation component, which sounds like...
You probably have some people wrapped around that to make sure it's coming out properly. But then you're also thinking about just how people work day to day leveraging AI. As a CEO ⁓ of a company, how's that turning out for you guys?
Joshua Gould (18:28)
Well, we did that first. So we used to describe them as machine learning self-driving workflows before we were supposed to call it AI. I get it. The AI is now a large language model generative and these are just trying to figure out the most efficient way to get from A to B.
Greg (18:51)
We, I remember like, yeah, one of the, one of the positions I had, had a large sales group and we're bringing on customers and it was probably, you know, 80 % automated once the sale went provisioning the whole thing spun up and we worked right next to the call center and the call center. I got to watch it and being kind of the vice president over the sales spot. had to walk down into the call center a lot and.
It is a place that, like you said, workflows are just going and there's so much to learn, so much repeatable things happening that I could really see the machine learning automation. I guess from a management standpoint, it solves it all. But I take it back to what you were saying about kind of the AI self-sabotage in there. There's a culture down and working in the, in the call center about,
survival of being the only person that knows this piece of information or how to fix this one specific problem. And I used to see that all the time. there's gift cards that gets sent to these guys because they're the only ones that can do this for my customer fast. know, it's a whole culture in there.
Joshua Gould (20:06)
We used to have software like that where one guy in all of the UK or India where we would make it could still remember that coded language, you know, and therefore we had to him alive. He'd be like 80 years old and we would be getting his supplements each day. But yeah, no, that's, that's exactly how it is.
Clint (20:28)
still, right? Gotta keep them alive.
Greg (20:31)
That's right. Well, you know what I want to, I have a question, you know, maybe outside of the big word, you know, you, you work with a lot of angel investing or, know, whatever you work with a lot of business leaders, probably have all skill sets with all sorts of dreams and, and capabilities and everything. So what, know, you're an AI guy. What advice do you have for someone that's maybe running, running a business unit or running an entire company that knows they got a
You have to bring AI in. can't not do it anymore, but they have no idea where to start. What would be your advice to them?
Joshua Gould (21:09)
Well, first of all, I would always tell people, look at the outcome you desire. Don't look at the method. It doesn't really matter if it's a human intelligence or artificial intelligence. What matters is what are you trying to do? You know, what is your desired outcome? Sometimes AI is great for it. Sometimes it's not. Remember the dot com bust didn't happen because the internet was broken or a bunch of garbage. The bust happened because there was a lot of companies
that created fake solutions or real solutions that would made up problems. So if AI isn't solving a problem, don't bring it in. You know, I'm not sure why you would do anything if it's not solving a problem. first advice. Second is AI will essentially repeat and automate what a human can do. So if your process is broken in the first place or inefficient,
It's going to repeat that inefficiency. It's going to repeat the mediocre or poor output. So you really have to get down to the brass tacks of is this a good workflow? Is this, is my data clean? Is it good before you bring the AI in? Because the AI is like steroids and the soon as you, as soon as you put it into any process, it's going to grow much faster than is natural and it's going to repeat. And if you really want it to be agentic,
which I think we all want our AI to be in the future, it could become dangerous as well, and it can destroy your business. So it, you know, used in the right way. It can be incredible as well. I mean, you can take a business like the Big Words that wouldn't stand a chance of managing the demand that we're seeing in the growth. The revenue of language service providers is up around 6 % a year for the last four or five years. That's with AI.
So we wouldn't stand a chance. The unit rate explosion is in the thousands of percent a year. So it's needed. And when it solves a real problem, it's magical. But the first thing is, you know, in summary, make sure you're actually solving a problem that exists. Don't try and create a problem because you've got a good idea. Second of all, just make sure you can solve that problem manually, at least on paper, really, really well. Third thing is make sure you've got the data because AI without data is just...
You know, anyone can go and buy that. It's a commodity. So you need really, really good data behind it so that your output and your outcome is better than your competition. Cause you still got to have a product at the end of the day. Your product can't just be a reseller of, know, something that people could buy anyway. And then decide if you want to get married or you want to be a bit of a tart and sleep around, you know, because getting married to one AI can be quite dangerous.
Cause then you build your whole systems around it and I prefer to sleep around. Yeah. I'm happily married by the way, but, at least in my AI.
Clint (24:10)
You're rolling with the analogy though.
Joshua Gould (24:13)
Yeah, prefer to sleep around because I think there's value in orchestration. And I think that, you know, each tool that comes along have does something slightly different or slightly better than someone else's. And we're only just starting to understand which tools better for certain things. you know, and also they're not static, you know, I think Microsoft has really poor AI.
Right now I know that I'll upset a lot of people, but you know, and I think the anthropic for me is the best, but you know, other people will say Gemini is the best for language services and they're all right. They're just looking.
Clint (24:49)
Seems
like whatever answer you have, changes within six months, doesn't it?
Joshua Gould (24:54)
Yeah. So be an orchestrator. Say I'm not getting married. I'm building these orchestrators and that's very expensive to be an orchestrator because it means that you're to do all the integrations. You're going to manage the integrations. You've got to apply security to each integration. You've got to do the cybersecurity. So it's very expensive. I think being a startup is really cheap now because of AI, but I think in time it's going to...
become cost prohibitive to be a startup because just think about the data that you're now managing. The AI is creating a lot of data. You've got to keep that data safe and you become a guardian of that. I think you are going to get to a point where becoming a startup is going to be a multimillion dollar deal. Right now, people are using it to create all these startups from the bedroom. I think as soon as you get to the security issue and you're signing up real clients, I think the costs go up very, very quickly.
Greg (25:48)
That's a, that is a great point because that's what we see on LinkedIn all the time. We've had guests on already talking about how they spun up an idea, a company and a go-to-market plan within 90 minutes. And this company is going to conquer the world. made it in, you know, four days, you know, those type of things. But Josh brings up a good point. When the business gets real, like you actually have customers counting on it and.
I have a responsibility with the data, with their data. It's no different than it was in the past. Business is expensive. It's expensive to run it. You know, it really is. When we hit topics like this, know Clint always has a question that pops out. This is, I know I can see it and he's dying to ask your opinion.
Clint (26:37)
All right. So you're talking Josh about, how AI has been changing your company, but it's been going on for a while. It's not a new thing for you guys. It's been something that you've been absorbing into the business over time. So where does this leave you on this topic? Are you seeing jobs being replaced by AI or new jobs being recreated? ⁓
Joshua Gould (26:57)
both. If you are, I always say this to my own workforce, if you're going to compete with the AI, you're probably in most cases going to lose. But if you operate AI, if you utilize it, you're probably going to be worth a lot more in the future. So yes, I think the jobs are currently being replaced by AI. I mean, we use less software developers now to create technology because of AI. So, you know, I know for a fact that they're being
replace. However, I'm now getting that technology to market quicker. need more salespeople to go out and sell it. So the Greggs of the world are super happy because, I can use AI to generate opportunities, but I still need relationships. And here's the thing about AI. It doesn't ever create a relationship and people have these fake superficial relationships, but there's no trust because trust can't be built with a machine.
In the same way as it can with a human, there's no empathy and all these soft skills, the great salespeople. You can get AI to write an email and my email to you to come on the show was written by AI, but I've still got to show up. I've still got to do the pre-interview. If I'm useless, you'd have been like, we're going to record another time. And I would have never heard from you probably. You know, so you've got to have the salespeople and then you've got to the marketing people. Now the marketing people don't hire copywriters anymore.
But you still need an angle. still, because if everyone just uses AI, we've all got the same thing. We're all saying the same thing. And guess what? Your guests that said that they could spin up a whole business in four days. Well, so can everyone else. So what's your angle? What's your edge? And you still need an angle and you still need an edge. So it's creating all these jobs that are really good paying jobs.
but it's getting rid of other jobs. And the bigger question now is how do you become a senior developer if all the junior developments does being done by AI? And I have an answer for
Clint (28:57)
I think we're struggling with that. If you got an answer, I'm all ears.
Greg (29:00)
Let's hear this.
Joshua Gould (29:01)
So I think we should really discourage people to go to college. I think college is great. I want my cardiac surgeon to be, you know, to have a really good college degree from the best college with lots of experience. But I think that we need to encourage people to leave school and go and do apprenticeships. These would be maybe not even paid, but partly paid apprenticeships. At the end of it.
they have the equivalent of a college degree in credits and we give them that and it's well recognized in the UK. We don't have that scheme in the US. So they can go and they can do all the stuff where they have to learn the basics that they wouldn't get the choice or the chance to do with AI. And then by the time they've done their three years, they are already mediocre to senior developers in our business or whatever else they're doing. They're also coming out with no debt.
Because they're working and they're getting paid. They're learning so much more than they can do. And there is a saying that anyone can have knowledge now because of AI. know, knowledge is a commodity, it's there. You know, I, joke, I, I can find all the answers on how to fly the plane that I'll be in later tonight, but I don't have the understanding to apply that knowledge. So those apprenticeships would all be about generating understanding.
how do you apply the knowledge? How do you actually practically put it into play? you know, the college system is broken. I believe over half of the people who go to college come out with no degree because they dropped out at some point with all the debt and not the upside. ⁓
Greg (30:45)
That's really interesting. Clint, you and I talk about organizations when we build them and, and, and what we, what we do and, you know this, but, ⁓ you know, I've always been a huge proponent of having interns all around the organization. And, you know, you know, like you said, we don't have that kind of system that, that, that, ⁓ you were describing, but having an intern, like a college intern.
Inside a real business is where they, really learn a lot. see their eyes open to, being very excited about the industry and how it actually works. We take them to management meetings and have them take notes. We, you you do all our calculations as an analyst, but we're going to take you everywhere into every meeting. And you just see by the end of the summer, it's a completely different person and they're so excited to be in business and they almost don't want to go back to school. want to get started. So.
That idea, Josh.
Joshua Gould (31:46)
Don't go back to school. Get into it. if this what you want. As long as you got STEM, you know, I'm a believer in STEM. I tell my kid, got to learn to read. You got to learn to write. You got to understand maths and science, but then you don't have to go to college. And my wife says you shouldn't tell them that they need a backup. might work.
Greg (32:05)
Controversial.
Yeah. How are you going to coach your own kids? That's controversial. That's great. Well, you know, you're, you're such a deep AI guy. Want to know a little bit about maybe what you use in business and for fun. What AI solutions do you play around with?
Clint (32:28)
We haven't had that answer yet. That's a great answer. Yeah. I AI every day in my Tesla.
Joshua Gould (32:33)
Yeah. So I, I often, I definitely shouldn't say this, but I click on the self-driving mode. stick my shades on and let it just drive away. doesn't know where I'm looking. In work, as I mentioned, we utilize a lot of different AI, you know, and AI engines. My personal favorite right now is getting quite a lot of hate, especially from the government sector, which I mean, but it's anthropic. think the way they have built AI to be very practical.
for work is good. Now, if you don't integrate it into your data, it's not going to be that helpful. You may as well just stick with ChatGBT, which I think is like the best retail AI out there or Gemini. But I really like Anthropics, you know, Claude versions and I've been playing around with them. So yeah, so that's really good. And then I use, I mean, like I said, I have my own Talking Head podcast and I take a crazy video. Like I'll pull a face like this.
And, know, and then take a picture and I'll say, a thumbnail and it'll drop the thumbnail in. And people are like, who the hell does your thumbnails? It's so good. So I said, well, it took me two seconds. Chachi BT did it. So yeah, it's amazing to use any time, you know, with debates with the family or, know, you know, whatever you want to do. you know, I'm using AI now. I've got my background that I have in my office, but I'm in a recording booth.
and it's sticking the same background as my office, which is the Big Word logo and spray paint. So it's in every part of what we do, whether we like it or not.
Greg (34:14)
Okay, it's time for this week's AI Challenge. Now the AI Challenge is a takeaway assignment for our listeners to get their hands on some AI tools and do some exercises.
Clint (34:25)
Most
people think AI translation means you can instantly go global with your business. Just translate your website, your pitch, your support, and hey, you're done. But that's not how it actually works. In this week's AI Challenge, we show you how to use Chat GPT to go beyond word-for-word translation and actually translate your business. Your messaging, your customer interactions, even the questions buyers will ask once they respond.
Because the real problem isn't getting into another language, it's operating inside it. Check out the full challenge in the blog and try it out yourself.
Greg (35:00)
Yeah, look down into the show notes and you'll find a link that goes right to the blog. It's got all the instructions that you're going to need. Now, if you've just finished an AI deployment within your business, we'd love to hear about your experience, the good, the bad, all of it. So go to www.promptthis.ai, go to the Contact Us page, fill out the form and we'll be in touch to talk about the story.
Clint (35:27)
Well, hey, Josh, we appreciate having you on the show today. This is an outstanding session. Loved hearing all about your thoughts on how people can get started with AI, how to not be afraid of AI in the business, but to look for the business angles to get that edge that you talked about. A lot of great insights in there. Tell us, how can people find you to ⁓ carry on the conversation with you?
Joshua Gould (35:49)
Yeah, so you can go on YouTube and go to ExecCraft, which is my own little talking head podcast. Nothing like yours. There is seven minute videos. It's just me. ⁓ Or go on LinkedIn. You know how to use it. Put in Josh Gould, the big word in the bar. And I'll be more than happy to connect with your viewership.
Greg (36:12)
Well, thanks for all the insight today. Really appreciate it.
Joshua Gould (36:16)
Thank you, thanks Greg, thanks Clint.
Clint (36:20)
And that's another episode of Prompt This.
AI Announcer (36:27)
Thanks for joining Clint and Greg today. You can find every single one of those Prompt This episodes, plus the deep dive articles, over at www.promptthis.ai. And listen, make sure you hit that follow button down below, because we're not done, not even close. We look forward to having you back.
