Episode 177: Using ChatGPT to supercharge your career – with Ben Gold

Artificial Intelligence (AI) is a powerful tool and, with the emergence of Large Language Models, the way AI is being used is rapidly changing. 

Ben Gold is an AI consultant, thought leader and speaker specialising in practical AI solutions for individuals and organisations.

He explains the different ways AI can help you in the workplace, how you can use ChatGPT to get a job, and how you can use large language models successfully to get the results you want.

He also talks about the types of jobs AI will replace, ways to stop generative AI from replacing your job, and how to keep up to date with the AI advancements in your field.

Today’s guest

Ben Gold

Website: Ben Gold

LinkedIn: Ben Gold

Ben Gold is an AI consultant, thought leader and speaker specialising in practical AI solutions for individuals and organisations.  While most consultants stop at theory, Ben dives into actionable steps, working hands-on with clients to implement and optimise AI strategies.  In many industry verticals and for many organisation types, Ben brings a fresh, real-world approach to leveraging AI for everyday success.

After 20 years of working in technology and AI solutions, Ben recognized that generative AI is a transformative innovation.  While exploring generative AI solutions such as ChatGPT after a career transition, the lightbulb went on – AI wasn’t just altering the job search process but every business and industry.

This inspired him to become an AI advisor, guiding organisations on practical adoption and hands-on implementation.  His experience spans understanding client needs, training staff, optimising processes and developing AI pilot programs.

On the personal side, Ben resides in McKinney, Texas, a thriving community just north of Dallas, with his wife Maria and their children.  Beyond his professional commitments, he has a global perspective shaped by a decade of professional experience in Europe, during which he learned to speak Romanian, Spanish, Italian and German.

Ben holds a distinctive accolade from the early 1980s.  He was recognized as the first video game world champion, a feat immortalised in a Life Magazine photo shoot in November 1982, and won a competition filmed on the TV show ‘That’s Incredible’.

What you’ll learn in this episode

  • [2:12] How Ben became a world-renowned video game champion.
  • [3:18] What generative AI means and the difference between AI algorithms and large language models. 
  • [4:48] The best large language model that currently exists. 
  • [6:45] How to use ChatGPT to help you get a job. 
  • [8:32] What you need to work with large language models successfully. 
  • [9:33] The six areas of work AI can do for you. 
  • [11:06] The benefits of using the paid version of ChatGPT. 
  • [14:59] How to use context effectively in your prompts for ChatGPT. 
  • [16:30] The amount of background information you should use in your prompts. 
  • [18:10] Ways to use generative AI to find the best career for you. 
  • [22:38] How much faith you should put in the output of ChatGPT. 
  • [26:03] How to stop generative AI from replacing your job. 
  • [27:50] How ChatGPT can help you network on LinkedIn. 
  • [33:26] The loss of real online human connection. 
  • [35:01] How to keep up to date with AI advancements in your field. 
  • [37:40] The aspects of career coaching that AI will replace. 
  • [38:51] How to get started with generative AI. 

Resources mentioned in this episode

Please note that some of these are affiliate links and we may get a commission in the event that you make a purchase.  This helps us to cover our expenses and is at no additional cost to you.

Episode 177: Using ChatGPT to supercharge your career - with Ben Gold

Jeremy Cline 0:00
The number of different use cases for generative artificial intelligence is absolutely mind blowing. Have you ever thought about how tools like Chat GPT might help you further your career, how they can help you to identify your perfect job, find people to network with, even prepare for interviews? That's what we're going to be talking about in this week's episode. I'm Jeremy Cline, and this is Change Work Life.

Jeremy Cline 0:42
Hello, and welcome to Change Work Life, the show that's all about beating the Sunday evening blues and enjoying Mondays again. If you want to know how you can enjoy a more satisfying and fulfilling working life, you're in the right place. Unless you've been living in a cave, you can't have failed to notice the increased prevalence of artificial intelligence. It's talked about constantly in the press, and the number of AI-related applications available seems to increase daily. Much has been said about the threats AI might pose to jobs and careers. But what about the opportunities? What are some of the ways you can use AI to help you in your career, to find new roles, and help you with your applications? My guest this week has spent over 20 years working in technology and AI solutions. Ben Gold is an AI consultant, thought leader, and speaker who specialises in practical AI solutions for individuals and organisations. Fun fact, Ben was also the world's first video game champion. And that was over 40 years ago, in 1983. Ben, welcome to the podcast.

Ben Gold 1:46
Thank you so much. And I love that you brought back a blast of the past from my childhood. Briefly, I will tell you that I was into the arcade games before we had the internet, before we had YouTube. And I was just very passionate about video games back in the day.

Jeremy Cline 2:03
I saw the names, Frogger, Pac-Man, Donkey Kong, which was a real blast from my own childhood. How on earth did you end up as the first video game champion?

Ben Gold 2:13
Back in the day, there was really no internet, no place to find that scoreboard. And I was having a competition, and I wanted to set a world record, and I had made a bunch of phone calls to finally find out a gentleman in Iowa who kept track of world records. He told me what the world record was for Stargate, which is the successor to Defender. And I spent 36 hours, played on one quarter, and got a world record. And then, I just became very close to this group of people that were setting world records. We got invited to go to Life Magazine, and then there was a chance to appear on That's Incredible!, and I won that competition. So, that was really my claim to fame back in the day.

Jeremy Cline 2:56
Well, let's fast forward to the other end of technology, which I doubt many people even would have imagined at the time that you were competing in all this. I want to take it back to basics first. I mean, everyone has heard of AI, but what are we talking about? Explain it to me like I'm a five-year-old. What is generative AI, and what are large language models?

Ben Gold 3:19
So, think of AI as something that's been around for decades. So, when we think of search in Google or Netflix recommending a movie, or Amazon recommending a product, that is all AI algorithms that are in background. That's been around. However, up until a year ago, this was something that large corporations, that had their own data science teams, built out as a way to generally maximise profits. Generative AI is based upon what you had mentioned, a large language model, this ability to crunch billions, and in the case with Chat GPT 4.0, the paid version, that is over a trillion data points. Now, the reason why this is important is that it allows this model to predict the next word. So, when I say, 'Yesterday, love was...', it would know, '...such an easy game to play', and it would start showing information about the Beatles and things like that. Now, what generative AI did was democratise. So, now, I don't need a data science team, I don't need millions of dollars, but I can create content, images, videos, I can do things with a very, very powerful tool, and that is what has truly up ended the technology field right now.

Jeremy Cline 4:46
And you mentioned there Chat GPT, I mean, is that really the only game in town, or are things like Bing in Bard and all that kind of stuff, is that also out there?

Ben Gold 5:00
I wish I had a crystal ball, because I did, I would know. I'll say that Chat GPT is, or OpenAI is still in the forefront. And last week, when they had announced their GPT's and this app store that's going to happen at OpenAI, I mean, these are kinds of things that are ahead of the competition. Now, I am going to say there's heavy competition. I always look at Chat GPT as the Uber, and I would say that the lift of the generative AI is anthropic with Claude. And Claude has a four-billion-dollar investment from Amazon, and up till recently was the only app that really can crunch large amounts of data. So, Chat GPT's limitations, which is being fixed right now, there is a limitation of the amount of text you could use. The idea that, when you're looking at it with Lama, with Bard, with all of these other models coming out, it's really hard to say which model is going to become the predominant one, or if all the models are going to live together, because one model lives with X, one model lives with Meta, one model lives inside of Apple. This really remains to be seen. I would still say that Chat GPT and OpenAI are leading the pack at this moment.

Jeremy Cline 6:19
So, I think that people are really only just beginning to get their heads around the scope and scale of what this can do if you know the right prompts. So, let's talk about getting a job. I mean, at a high level, what are some of the things that Chat GPT, or one of these other AI systems, can do to help you get a job?

Ben Gold 6:46
That is really good. And one of the things that I find out is, I will talk to a lot of job seekers who have not delved into Chat GPT or AI. They're very qualified, they maybe have 20-30 years of work experience, marketing, HR. And they're asking this question, 'Why is it that, when I'm applying to a job, I'm not getting any response? I've sent hundreds of applications, and I'm getting very few interviews.' And I kind of go back to them, and I feel like I'm Morpheus giving Neo the red pill. And I'm like, 'You have to go into Chat GPT and understand the capabilities.' This is a technology that can take certain tasks and be 10 times more efficient. So, examples, I can counsel somebody who doesn't know their career objectives, and in one hour, I can give them the top five career objectives. Back in the day, if I had somebody who had no idea what they wanted to do with their life, that would take a month or two months, because you've got to go and research, and you've got to do this and this and this. Now, there's ways, you put whatever your resume is, you take a personality test, and it will go and give you your top five career objectives, will tell you why, and then you can delve in. So, there's really six elements: determining your career objective, updating your resume, networking on LinkedIn, determining your compatibility for a job, applying for a job, and going for an interview. There's really the six main components of where AI can help you. In each of those phases, we can talk about any one of them, there are different techniques, we call them prompts. Two really main elements to be successful at working with any of these large language models is a prompt, which is a command, and contextual data. Contextual data is information that Open AI, or whatever model you're using, doesn't know. So, it doesn't know who you are, Jeremy, it doesn't know who I am. But when I say, 'This is my resume, and this is the social media profiles of the person that's interviewing me, here's the job description', I can say, 'Give me the top five questions I'm going to be asked. Give me the top three concerns this person's going to have about me in this particular role. Rate my answers to responses to those questions based on this person's job experience', et cetera. So, you can get hyper personalised, if you know the right prompts and the right contextual data to give to the platform.

Jeremy Cline 9:26
Okay, so those six items that you mentioned, would you mind just running through them quickly again, and then we'll dive into one or two of them.

Ben Gold 9:33
So, determining career objectives and updating resume, I do a lot of webinars with college students, and that's really what I focus on at these two, where they're trying to figure out how do they get out in the world. The next one is networking on LinkedIn. There's a number of ways where you can either comment on posts, which is really powerful, or in terms of doing an invite. You want to network, and you want to get that 300-character invite, the person will respond to you. That's a really powerful tool. Then, it's job compatibility. Okay, here's the job opportunity, is it really a good job for me? And you can take the description, your resume, and you can run an analysis. Then, the fifth one is applying, writing the cover letter, answering any questions that they have on their website, things like that, to make sure you hyper personalise. And then finally, the interview phase.

Jeremy Cline 10:31
And when you say that AI can do all of these things, are you saying that anyone can do this just with, say, the free version of Chat GPT, if you just sign up to an account, or do people need to investigate specific AI-powered tools to deal with each of these particular items?

Ben Gold 10:51
Okay, so you can start with the free version of Chat GPT. So, just so you know, I wrote a book called Find Your Next Job With Chat GPT, that goes through each of these phases, walks through all the different prompts. My recommendation is this, if you make, let's say, 80,000 pounds a year, let's just say that, and you're out of a job, I'd invest the 20 bucks a month, I don't know what it is in the UK, maybe 20 pounds a month, or whatever, but this paid version is worth it. Think of it, for 20 bucks, the paid version is going to generally give you about a 20 to 30% improvement in your output.

Jeremy Cline 11:33
Sorry, you mean the paid version of Chat GPT?

Ben Gold 11:36
Paid version of Chat GPT will give you a better output. It's trained on about 1.7 trillion parameters, while the free version has about 250 billion parameters. So, it's trained on more premise, it's more insightful. Now, I'll go a second level, recently this new app store came out, and you can only access that through the paid version. The apps are actually being built right now, which will give even more guidance. So, for example, I built a couple of apps for fun, and it allows me to take a job seeker, when you use an app, it can be programmed by that individual for whatever the subject is on making sure the methodology is not generic, but it's based on a certain philosophy.

Jeremy Cline 12:27
Okay. So, paid version of Chat GPT worth it. There are apps within it. But even then, are we still talking about essentially being able to do this within the Chat GPT framework, where you just write your prompt, and you get a response, or are we talking about, actually, you really do need tools, which people have built on top in order to do all this stuff?

Ben Gold 12:52
It's so funny, because you can do it yourself, that was one of my initial things that I had worked on a project, which was to create a tool that goes through the entire workflow of the six stages and put it into one place. I decided the market wasn't quite ready for that. And it might be that there are tools that you can use that will use some of this methodology. My recommendation, though is, you're best off, so I have a philosophy called an AI-first philosophy, you should get your hands dirty, get the paid version of chat GPT and start playing with it. Learn about the prompts, learn about that, because most likely, whatever company you work for, is right now, building tools that are layering generative AI on top of whatever your workflow is. That's happening across the world right now. In my opinion, it's a very good practice to become AI conscious. That is, if you are applying for a job, you should think AI first. Before you write a cover letter, before you analyse anything, run it through the AI. That will save you a lot of time and give you better output. The second thing is, if you are unemployed, learn about all the AI tools for your industry. For example, if you're in marketing, learn about Dall-E and Midjourney and any kind of graphics, and video AI tools are out there that can help create content. That could be a good thing when you're applying for a job, that you are familiar with generative AI technologies, that you're not just going to come in there and use the old way, but you're going to help them to bring this new era into that company.

Jeremy Cline 14:40
You mentioned earlier prompts and context, which I think were the two most important things when you're sort of putting in your queries, or your this is what I want you, Chat GPT, to do. Can you just expand a little bit on what those are?

Ben Gold 14:57
Absolutely. So, let's take a prompt. I'll give you this example, we'll start with the idea of a cover letter. I could go into Chat GPT and say, 'Write me a cover letter.' Without giving them a job description, without telling them anything. And it will write a cover letter, make up a job, it'll makeup information. Okay, so that is the prompt. Now, a good prompt is, let's say I give them my resume, and I give them the job description. Okay, that's the contextual data, but I say, 'Write me a concise cover letter.' So, number one is, be more specific. Second is, 'You are a top-notch career coach', give them a role. Let it know, this is what my role is, when I'm thinking about this. 'Write a letter that identifies my top two strengths, as compared to the needs of this job description, and keep it under three paragraphs.' And that'll get you a much better output. Then, if you don't like it, you can say, 'Make it shorter.' I will sometimes just say, 'Get rid of the flowery language.' Because everybody can tell that it's AI when it says, 'You're amazing posts really got me motivated because of the enthusiasm that you show', you know, it comes up with this verbiage that you're like going, that's obviously AI. Now that everybody's using this, you want to make it in a voice that sounds like it comes from you.

Jeremy Cline 16:26
And when you talk about context, how much background do you put in? Because I have heard it said that, if you sort of stick in a load of background, then what you'll get back just will kind of reflect that without any kind of weeding or editing.

Ben Gold 16:42
The contextual data, this is where you have two elements. The first one is that some of these large language models have a limit, they call them tokens, think of it as words, that there's a limit of how much data you can give them for them to crunch. And that's one of the things that Anthropic and Claude is better at. So, with Claude, I can load a book and say, 'Summarise this book in three paragraphs.' Okay. Or give me an outline of the top ideas. Chat GPT is just doing this inside of their app store. But you have to have the paid version to be able to do this. So, you can give them a 150-page text, but if your prompt is direct, the AI will figure it out. If you say, 'Hi, here's a 150-page book, find me this one component. When do people talk about recruiting, and what are the five top methods?' And it will go through that entire 150 pages and summarise that point that you're looking for.

Jeremy Cline 17:46
Let's talk practically about some of those six things that you mentioned. I don't think we'll have a chance to go through all of them. But the one I'm going to pick, it's obvious to me because I'm a career coach, is the career objective. So, first of all, what's the outputs that you're looking for when you talk about career objective? What, once they finish this process, is someone going to have in front of them?

Ben Gold 18:11
So, the way that I do it is, I will typically say to somebody, 'Give me your most recent resume.' Because sometimes you talk to people who have been, let's say, let go, and they have a five-year-old resume. Okay, so I will typically say, 'Give me your most recent version of a resume. Then, what I'd like you to do is add two other pieces of content. If you've done something that's not on the resume, just write it out, just put it in sentence format, who you worked for, what you did, since that resume.' The second thing is, I recommend them taking a personality test. So, either you take a personality test, or there's a STAR test, Situation, Task, Action and Result. Pick some things that you've done. And you add a resume, then you update what you've done, and you stick something personal about what you've done, what you've accomplished. The more the better. Then, I basically will put a prompt in and say, 'Based on all of this information, I would like for you to give me a compatibility analysis of career options, the best match. Give me five options, put them in the order of highest level of compatibility, and give me a one paragraph explanation of each field that I could choose based on this information.' And then, it will give you an output that will list five different things and will say, 'Maybe you are Project Manager 90%, Sales Representative 85%, Product Manager 78%.' And it will literally go through and give you that analysis.

Jeremy Cline 19:46
What are sorts of personality tests to use just as that part of it?

Ben Gold 19:51
You don't have a preference. I would just say any personality test that allows an output. So, what you want is not just the output, you want the questions and answers. So, for example, I have this student that I was mentoring, and he had, I think it was 16Personalities or something, I forget exactly what it was called. And what I did was, I took an example of the questions and answers, and what it was able to do is to say, 'This person is more of an individual worker and not a team worker.' So, it took his resume, it took this personality test, and it began to look and says, 'You probably would be a product developer, but most likely, not a manager.' Or if there was a management position, it would say, 'Just be careful, because right now, it looks like you like working alone.' So, it takes into consideration these other elements about who you are as a person, bind with your skills and what you like to do.

Jeremy Cline 20:49
So, I'm just thinking, if I put my resume in there, then my professional resume is virtually entirely a career as a lawyer. And so, maybe I put a personality test in there as well. So, Myers Briggs, or something like that. I think I came up with ISTJ when I last did Myers Briggs, I can't remember what all of that stands for, but I think Introvert was definitely the 'I'. But I really don't want to be a lawyer. I mean, isn't there a risk that what's going to get spat back out of me is, 'Oh, well, your top is law, and these are the sorts of things that you might want to think about doing.'?

Ben Gold 21:26
What you do is you give it a prompt. Again, you say in the prompt, 'I want to get out of law. What I'd love to do is this, this, this, this and this.' The better the data you give, the better your output. And you say, 'I'm looking for a job that allows me to', if you can describe to Chat GPT what you don't like about law, 'I love talking to people, I don't like this and this, I'm looking for a career that does this, this and this.' Think of it as if you're talking to a career coach, and you explain who you are, then it will say, 'Okay, based on your background, based on your personality, and based on what you just told me, here are five careers that would best reflect those circumstances.' And I've done that before where I've said, 'Here's my background', with some people, and they want to make a career transition, 'Help me redo the resume', I know that that's kind of another one but, 'Take all of this information, now I'm shooting for this career, help me reposition everything I've done for that career. How do I transfer and explain it, so that it comes out as best as possible?'

Jeremy Cline 22:27
And what's the way to think of in terms of the output? Because at one level, you could go, 'Oh, well, Chat GPT clearly knows all the answers better than me, so I'm just going to follow it blindly.' Whereas the other end, you could say, 'Okay, well, this is interesting, I agree with that, don't agree with that, maybe this is something to explore further.' Where on the scale do people want to be when they approach the output?

Ben Gold 22:55
That is a question that I also have. So, first of all, never trust the output. Never, ever send out an output without going over it. Because there are going to be inaccuracies, there are going to be things that don't make sense. You're going to want to do that, it's going to save you that 80% or 90% of creation, but you need to do the 10%. However, Jeremy, what I would say, in the role of a career counsellor, what AI is going to do is make your job more efficient. So, you could say to somebody, 'Before we have our first meeting, I want you to give me your resume, I want you to give me this, and I want you to give me this.' You then can run this data into AI, and you can say to them, 'Hey, based upon what you just said to me, here are five different careers that you might choose. Which of these are interesting?' And what I'll do is, maybe they'll say, 'You know what, I never thought of two or three, definitely number four, never. And number one is obvious. Okay, that's what I've been doing.' And so, then you can go and say, 'Well, can you drill down on number two, give me a more detailed explanation of this particular career path.' And you sit there and do that in real time. So, I recommend every job seeker to go to their career counsellor. Okay, use it to update your resume, use it to determine your career goals, but then go talk to a live human before you go out and act on it. It's important to have that human interaction. But the idea is that I'm going to save you six to eight weeks if you start with AI, instead of you kind of struggling to get there. So, why not use this tool from day one, learn about AI, learn about it for your industry, use it for all of these elements as just a way. It doesn't guarantee you a job, because a lot of jobs are changing. Some skill sets that a year ago were very desired, today are being replaced by AI. So, I'm not saying that you do this and then you're going to have an offer in a week. Some people might have to reinvent themselves. Especially like, if I'm a content creator, I create content, I write blogs. Okay, you're going to have a hard time getting paid for writing blogs today. Maybe if you're the best of the best, you might keep some of your clients. But if I'm breaking in, I would not put that as my career goal of creative writing. Because AI has absolutely destroyed that.

Jeremy Cline 24:51
I'm quite relieved as a career coach, it's not a career counsellor, to hear you say, 'No, do go and talk to the human.' And I think what you've given as a good example of AI less being a threat, as an additional tool for the way that jobs are done. And so, yes, it may make processes more efficient, it may mean that there are certain roles which require less manual labour than previously. But I think the overarching message is that there's opportunity to do things differently and better here, rather than basically computers and robots taking over all the jobs.

Ben Gold 26:03
So, my personal philosophy is somewhere in between. You have this idea of a utopia, where robots are doing all the work, we're drinking daiquiris on the beach and doing great. That's the one element. The other is this idea, and it is something I'm very concerned about, that power is being concentrated in fewer and fewer corporations, because as AI bots, they can start doing outbound phone calls. Already, the customer service industry is an example of being completely transformed, where you now have these bots around, that are personalised on the website. They're reducing inbound calls. You have bots that are able to talk on the calls. So, the thing is that there are certain kinds of jobs that are being eliminated, there's certain ones being created. And the one thing I will say is, if you don't learn generative AI, then your risk of being replaced is going to be very high. And that's something that is just, I say that to people, I feel like I'm again Morpheus giving Neo the red pill, and I show them what this stuff does, and I feel like not everybody wants to go down the rabbit hole. But I'm like, 'Go down the rabbit hole', because things are changing so quickly, and it's important to be up to date and understand these elements.

Jeremy Cline 26:27
I think we've got time to talk about one other of these six things that Chat GPT can do in terms of finding a job. Let's talk about networking on LinkedIn. So, what can Chat GPT or one of these other models do in that context?

Ben Gold 27:51
That is great. So, I'll give you different examples. So, for example, I'm working with a number of real estate agents, mortgage brokers, and people in insurance. They want to reach out to somebody else. One of the things that's really powerful is if you take your profile, you take the profile of the person that you want to network with, and LinkedIn allows you to download their profile as a PDF, you can give a prompt, and you need to give it what your goal is. So, if for example, I am a mortgage broker, and I want to reach out to a real estate agent, I could say, 'I'm looking to network with this real estate agent, here's their background, here's mine, give me five icebreakers, or 300-character connection requests that will build a rapport and get this person to respond to me.' And say, 'Give five,' because it's really hard in 300 characters to talk to a stranger and get them to agree to you. But it will usually pick out, 'Oh, hey, I noticed that you are...', and they'll find something common, whether it's professional or personal or geographic or something, and it will give you these different elements. And I will say, maybe if I'm a student, and I want to get an informational interview, 'Okay, well, this is somebody that's in a field I want, they're an alumni from my university, give me five introductions that I could use with them to get them to agree to do a 15- or 30-minute informational interview.' So, you've got to be very precise on what your call to action is, why you're asking, is it they work at a company where there's a job opening, and you want to get information, is it that you are looking to build your networking profile, you've got to be very specific, and the more you do that, the better you'll tell. Now, another technique, if you want to be able to be more vocal on LinkedIn, is to comment on people's posts. And sometimes there's a very long post, I don't have time to really understand it, I'll copy-paste, give me three quick insights I can put about this post. And it will actually make it in a way, you've got to change it a little bit, because AI by itself, there might be some flowery words, but you basically can say, 'Give me some insightful comments that I can make on this post', then you make a comment on somebody's post, they're more likely to want to interact with you, they're more likely to want to connect with you, because you've shown interest in what they're doing. So, those are two examples of how you can use AI to network on LinkedIn.

Jeremy Cline 30:33
A teeny little bit of backlash coming up in me. It's the robots telling me how to connect with this person. It's the robot telling me some clever things which I haven't thought of how to respond to this article. It's kind of taking away the personality and the human element of it. Do you agree with that? What's your take on that?

Ben Gold 30:57
Well, that's why I ask for five examples. Because it's really hard in the 300 characters, but I use that a lot. Okay, I need to reach out to people, I need to build connections. And how do you get this person to want to talk to you in 300 characters, I want to get personal with them. So, I feel like I'm doing a better job than blanketly saying, okay, you're a podcaster, and send out 100 requests because I want to get on a podcast. It's better if you say, 'I noticed that you do this and this', and give something that shows that you actually took the time to learn about them and see that there's a commonality. So, there's pros and cons, and there's actually, I'm going to say, certain apps and tools that are about to be able to do this on a scale. So, right now, it's one on one, but I promise you that in six months, or a year, or maybe it exists today, these tools that will do that for you automatically, and send them out at scale. So, whether we like it or not, it's going to happen.

Jeremy Cline 31:58
Do you think people will risk getting desensitised to this? So, if they start receiving more requests, people are just going to be aware, oh, these are all AI, I'm not going to bother anymore.

Ben Gold 32:08
I get that sometimes. What I find is, though, there are times where I have people reach out to me, and they catch me at a moment where I'm like, 'Gosh, what am I going to do for my email marketing?', and then boom, somebody comes with that. I'm like, 'You know what, I'll talk to this person.' So, it really depends, I read every request that comes my way, and like the IT developers, I don't need those, I will just say I'm not interested, or I'll delete them, but I find that, yeah, people want to get requests of somebody that gets them. And I think AI does a better job of identifying who I am or what are the things that motivate me. That's another thing that I will do. I'll say, 'Run a personality analysis of this person based on the LinkedIn profile. What drives them? What are the commonalities that we have?' If I'm doing an interview, I'm going to want to say, 'Give me five icebreakers of what I have in common with this person.' I don't have time to go through all that, I could take it and go line by line, but if it says, 'You both graduated here, you both did this in marketing, you both did this', that allows for me to look closer and count the things that I think would resonate.

Jeremy Cline 33:22
I'm now envisaging a time where I get about 100 times the number of pitches for guests on my podcasts than I already do at the moment. And I'm starting to think that the only way I'm going to be able to weed through them and pick out suitable guests is by getting AI to look at all of them and suggest which ones are worth responding to.

Ben Gold 33:44
So, what you've got is an applicant tracking system for your podcast, and that is exactly, to me, if you want to say what is truly evil is the LinkedIn Easy Apply. I think that is evil, because I know people that run a script, and they'll get 500 Easy Applies. And when you apply 500 times, I think that is just like, I throw up when I hear that, because you can't spray wide, you should be more specific. That's a big part of the compatibility. But it forces all the companies to use AI to screen people. And so, the people that are truly qualified have a harder time getting through all that noise. But yes, that is something, it's a cat and mouse game.

Jeremy Cline 34:26
Let's touch a little bit more on keeping a job. And whether you are in a job in an industry, you've been there for years and years and years, and you're starting to think, 'Okay, I'm starting to wonder whether AI is going to be a threat here', or maybe whether you have recently changed careers, what are some of the ways that you can use AI in order to be aware of what AI is doing in that particular area?

Ben Gold 35:01
So, first thing I'd recommend is to subscribe to newsletters. And so, I have a couple that I've looked at. One is called The Neuron, Superhuman, these are two that I really like, every day they come out and give the overview. So, it's important, number one, to spend 5-10 minutes a day, just knowing what's happening. As we're recording this, there's a lot of turmoil in Open AI. So, I'm following that, what are the implications here of Sam Altman moving over to Microsoft. That's number one. Number two is, join a lot of the AI groups that are on LinkedIn, and Facebook, and other places. And the third thing is, google AI in your industry and look at all the apps. I am just astounded at the number of applications that are incorporating generative AI in everything from talent acquisition, to content creation, to conversation analytics. For example, I've just looked at a number of tools that can take all conversations, like we're having, your Zoom conversations, and it will analyse it for you, it'll stick all the information into the CRM, into Salesforce, it will tell you your next actions, it'll write your follow up email, and I've seen some of these that are scary, it'll write your follow up email right after the conversation is over, and allow you to just go in and check it out. And couple of things I've seen are just spot on and sound like a human. So, they've had truly good engineering. And so, these are the kinds of things. Learn all these tools, suggest them to your company. A lot of these are 30-40 bucks a month. Go to your company, 'I want to try out three AI tools for content creation, or for whatever it is, let me test these out and see if they're good for the company.' So, when the company is looking at who they're going to keep, they're going to want the people that are innovative, that are suggesting how do we become better, how do we become more efficient. You want to be that person.

Jeremy Cline 37:03
I want to close off with an entirely self-interested exploration. And that's on the subject of coaching. You've mentioned career counselling, and I'm thinking specifically about coaching, where my role is to listen to the person who is speaking to me, and then ask them questions on the back of what they've said, and use that as a means within which they can explore their own universe, sort of prompted by me, creating this container for them. Do I run the risk of being replaced by AI? Is AI going to be able to do that instead of a human?

Ben Gold 37:40
I'm going to say that AI is trying to do that. My recommendation is though, if you're the career coach that teaches people how to use AI, because again, as a career coach, I believe you should explain to them that they should have an AI-first strategy, they should do all the things that I recommend in terms of understanding how it impacts your industry to become familiar. And then, you as a coach become very valuable, because there are touch points that you need a human. You need a human for determining your career objectives and updating your resume and in the beginning of your networking. Where career coaches fall short is when I've applied to 20 jobs. It's very difficult to get that personalised feedback for every single interaction. And AI can do that. AI can prep you for every opportunity. A career coach usually is going to give you that generic one. So, if you understand that, and you teach that to your students, they're going to see a big value, because you gave them the tools and the insight that they need to succeed.

Jeremy Cline 38:45
So, someone's approaching all of this for the first time, where's a good starting point, where's a good primer?

Ben Gold 38:52
Go to openai.com, or just type in Chat GPT and get an account. Okay, start for free. I tell everyone, pick a destination, say, 'I'm going to Paris for five days', see what it does. Then say, 'I'm going five days with my family.' Then say, 'I'm going five days, and I want to see the tap art.' And each time you do it, each time you give it more distinct information, you suddenly see how the AI works. Do that. And then, once you've gone through that, think about any other problem you have, and you'll understand. So, that would be number one. Get an account and use it. Number two is, if you think the output is bad or is boring, and I've met a lot of people that said, 'I tried that Chat GPT, and it's really nothing.' And I'm like, it's kind of like saying, 'Well, I saw that Lamborghini sitting on my driveway.' And yeah, if you don't know how to put the key in, and you don't know how to press go and move forward, or whether it's just a Volkswagen, I see that car, and I don't know how to drive it, obviously, it's just a piece of metal sitting on my driveway. So, this generative AI, you really should learn the prompts and the contextual data. Because I promise you, your boss or your future employer is asking that question right now. And they will be asking for the next couple of years. And the question is, do you want to be a part of that? Or do you want to be swept away because you didn't make that adjustment?

Jeremy Cline 40:21
And in terms of specific books, blogs, articles, newsletters, that kind of thing, if someone wants to find a good resource where they can learn more about this, where's somewhere they could try?

Ben Gold 40:34
I mentioned The Neuron and Superhuman, these are two AI newsletters that are out there. I recommend to get at least four or five newsletters. So, every morning, I have a Google Alert, I have about, at this point, I think almost maybe five or 10 different newsletters, and I just skim them and see what's going on. I want to be current. It's really important. Second thing is, explore any kind of groups that are in your industry, and say AI and human resources, AI and marketing. I promise you, on LinkedIn, there's lots of groups that people post information. Take these Coursera or these other online courses, some of them are free, about AI, one or two hours to just get yourself familiarised with generative AI, and understand how to use it. So, these are things you can do. You do not need to become a data scientist, you don't need to spend a year taking a $10,000 course to be able to survive. But you should put 60 minutes a day, every day, into something AI. Okay, you should incorporate it in your life every day. It is not a fad. It's not going away. It's here to stay. And it's up to you to want to either become a part of this, or to watch as it sweeps past you.

Jeremy Cline 41:55
This has been a very, very interesting introduction to the topic, which I'm sure is going to be extremely helpful for people. If someone wants to find you, where would you like them to go?

Ben Gold 42:08
bengoldai.com. That's my website, it has my resources. I do consulting for individuals and organisations. I've written two books. And I do a lot of LinkedIn posts, and so would love to interact with anybody that wants to find me on my website, and then my social media profiles. Absolutely, it's a pleasure to talk to people.

Jeremy Cline 42:29
Brilliant. As always, links to those will be in the show notes. Ben, well, thank you so much for coming on the podcast and for sharing your knowledge.

Ben Gold 42:37
Thank you, Jeremy. Appreciate the conversation.

Jeremy Cline 42:39
Okay, hope you enjoyed that interview with Ben Gold. A few weeks after this interview was recorded, Ben and I had another session where he demonstrated to me what Chat GPT might be able to do for me in the context of building my own coaching business. And boy, the results were absolutely staggering. For example, I told Ben the sorts of niches which were interesting me at the time. He put them into Chat GPT, and it came up with a whole analysis of those niches and suggested some tasks which I could carry out in order to explore them. We looked on LinkedIn at people who might be interesting for me to talk to, and he used Chat GPT to suggest how I could connect with them. I'm always a little bit wary of shiny object syndrome, you know, where you see a new tool and you think, 'Oh, that looks good', and then you pay for it, and then you never use it. But as I've played around with Chat GPT, I just feel like I'm probably going to use it more and more. As always, if you want to find a summary of the key points from the episode, a copy of the transcript, and links to the resources mentioned, the show notes page for this episode is at changeworklife.com/177, that's changeworklife.com/177. I said this in relation to the last episode, and I'm going to say in relation to this one as well. This really does bear sharing. Everyone has heard of AI, but I'll bet that a fairly small percentage of the people you know have actually played around with it and used it. And it's just going to give them an advantage. So, do tell people about this. It's really going to help them, and as I mentioned last time, it's going to make you look good, too. A bit of a shift of gears in two weeks' time when we're going to be talking mental health and burnout in particular. We'll be talking a bit about what burnout is, how you can avoid it, and if you do feel like you're burning out, what you can do about it. It's a really great interview, and it features the two hosts of one of my favourite podcasts. So, well worth a listen. So, to catch that, make sure you've subscribed to this podcast, and I can't wait to see you in two weeks' time. Cheers. Bye.

Thank you for listening!

If you have any questions or comments, please fill out the form on the Contact page.

I would be so grateful if you’d: