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Your Work Friends
LIVE Soundoff: AI at Work in 2025: Beyond the Hype with Microsoft's Carol Scott and People Power AI's Teresa Fesinstine
What's actually happening with AI in the workplace, and how can you stay ahead of the curve? In this can't-miss episode, we're joined by two powerhouse experts: Carol Scott, Senior Director at Microsoft and founder of The Action Imperative, and Teresa Fesinstine, founder of People Power AI and former Fortune 500 HR executive. They cut through the noise to reveal what's really changing in 2025, which jobs are being transformed (not just replaced), and how to position yourself for success in an AI-enhanced workplace.
From practical tips on getting started with AI tools to inspiring insights about the future of work, this episode delivers actionable advice for everyone – whether you're a tech novice or an AI enthusiast. Our guests share candid perspectives on everything from performance reviews and employee engagement to the surprising ways AI is reshaping creative industries.
Key Topics:
- The biggest myths about AI in the workplace
- How AI is actually changing jobs (not just eliminating them)
- Essential skills for staying relevant in an AI-driven workplace
- Practical ways to start using AI tools today
- The unexpected benefits of AI for non-technical professionals
- Real predictions for workplace changes in 2025
Featured Guests: Carol Scott - Senior Director at Microsoft, founder of The Action Imperative Teresa Fesinstine - Founder of People Power AI, CUNY Professor, 25-year HR executive
Perfect for: Professionals at any level looking to understand and adapt to AI in the workplace, team leaders wanting to guide their teams through AI adoption, and anyone curious about how AI will shape the future of work.
#FutureOfWork #ArtificialIntelligence #CareerDevelopment #AI #WorkTrends
Disclaimer: This podcast is for informational purposes only and should not be considered professional advice. We are not responsible for any losses, damages, or liabilities that may arise from the use of this podcast. The views expressed in this podcast may not be those of the host or the management.
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I think that for a lot of leaders that are non-technical, they make the assumption that the technical team is sort of the knowledge keepers on AI. We shouldn't be held back from inserting ourselves into the process, into the conversation, into the strategy around cascading these tools out because we're afraid that we don't know enough or that we're not informed. Don't believe that hype.
Speaker 2:So welcome everybody to your work friends. I'm Mel Plett and with me is my work friend, francesca, and with us tonight we have guest speakers Carol Scott from Microsoft and Teresa Fezenstein from People Power AI, who are our experts, to talk about AI at work. What's real, what's the hype, what can you really expect in 2025? So with that, I'd like to introduce Carol and Teresa.
Speaker 3:So, carol, why don't you introduce yourself? Thank you for inviting me, and I do want to kick off with saying that Mel and Francesca we met through work and we're work friends, and so I appreciate the opportunity at Deloitte and we spent a lot of great years there. But real quick, carol Scott. I'm a senior director in our software and digital platforms group at Microsoft, and we manage our largest partners that go to market and lead with AI globally and also a recent founder of the Action Imperative, which is really focused on how women and others that need to speak up and have a voice can do that using AI, and we're very excited about that as well, and I'm excited to be here today.
Speaker 2:Well welcome friends. All right, Teresa, well welcome friends.
Speaker 1:All right, Teresa. Oh, I definitely ditto Carol's sentiment around just the appreciation of being here and the ask. You know, I kind of feel left out because I've never been technically work friends with you guys. You are now. I am now. I love this. I love that everybody I meet is a work friend because I have my own business. So I'm Teresa Fessenstein. It's so nice to be here.
Speaker 1:I spent 25 years in corporate HR, so, whether it was vice president of learning and development or moving into CHR roles, I had the amazing opportunity to work for large global enterprise organizations as well as small, bespoke commercial real estate, privately owned businesses and all of the kind of been through the gamut of experiences.
Speaker 1:And then, in 22, I decided to leave to start a culture consulting business, which then evolved into People Power AI after I became immediately absorbed and obsessed with learning more about ChatGPT in December of 22. And that's really led me through two and a half years of my own learning and then taking that learning and sharing it out with others, whether that's through workshops or conferences. I also have the opportunity which is amazing to be an adjunct professor at City College of New York, teaching HR management as well as AI in business and I'm a very proud member of organizations like Troop, HR Women Defining AI, and I'm a mentor for All. Tech is Human, where we really focus on making sure that AI is democratized and people have an opportunity to learn more about it and to learn how to use it and bring it into their world of work. So thank you so much for having me again. I'm so excited for this conversation.
Speaker 2:Well, thank you for being here. We're so appreciative of you both. This is a conversation that our listeners have shared with us is one of the biggest things that is top of mind for them. We know this is 60 minutes and we are going to move quick. So here are the four things we're going to cover tonight AI at work what's real versus what's the hype. Will AI take your job or make it better? How to stay ahead? So skills, tools and mindsets and we'll get through some listener Q&A and we want to hear your bold predictions. With that, I'm going to jump right into what's real versus what's the hype. So what's the biggest AI myth employees should stop believing today?
Speaker 3:Well, I'll start out and say one of the myths is that they can wait because their company is not doing anything. Or you know, it's not required in the job because things are moving really quickly and your company also, big or small, may be doing more than you think. But I would say I'll just start with that is you might be thinking about it, you might be dabbling in it. I think you need to know more than you think you do because it's moving so quickly, teresa.
Speaker 1:I'll honestly play a little bit of a like I think it's a both and I think that a lot of organizational leadership, certainly in small to mid-sized businesses that I've seen, are sort of figuring out what the walk and the talk around AI is going to look like without, without kind of with the ideology that employees aren't actually digging in and BYOAI-ing at work, right. And so I talk with a lot of organizations, organization leaders, hr teams where when I ask you know how many of you have put, you know, guidelines, out, roadmaps for your AI strategy it's quiet in the room, I'll put it that way. And there's this, I think, intrinsic belief that people are going to wait for that and they really aren't. They are sitting at their desks and have their iPads and their phones on the side of them using ChatGPT, whether we've endorsed it or not.
Speaker 1:I also think in terms of Sorry, go ahead, no, no, go ahead. I was just going to not. I also think in terms of sorry, go ahead, no, no, go ahead. I was just going to say I also think you know and I don't know if we want to jump into this yet but I do think that there's this. I think the conversation you mentioned, mel around. Is AI going to take jobs? Is also a both end conversation. We should be having both end conversation we should be having.
Speaker 3:Yeah, and I would say a myth is that, oh, you know, ai is going to replace a lot of jobs. I do think it will replace some jobs or some tasks where things can be consolidated. I also think and we've seen this in the tech industry I think there are new jobs and new roles that are going to come out and that people will be working differently. And I also just want to add one other thing that you know, some people think, oh, ai is only predominant in tech companies, or they're leading, but it is everywhere.
Speaker 2:Yeah, we're seeing that too. We're hearing a lot of what you're saying. So one of the things I recently read, for example, is there the biggest disconnect is in terms of, you know, employers' expectations of how their employees are using it, and employees are saying tell me how you want me to use it. So there's a big conversation that seems not to be happening. So that's interesting.
Speaker 1:Well, I also think, Mel, that it's not just tell me how you want to use it, but tell me how to use it, and I think that's a huge gap right now. There've been a few reports out in the past, say, five months, four months, around the disgruntledness of CEOs that haven't seen the productivity gains but they also haven't put the investment through to make sure people understand the what and the how of it. It's like we've kind of you know, either if we have the policies out there, we are sort of not really giving the guidelines or the support in order to effectuate the skill development that we need, or we're just not saying anything. I don't want to switch topics, but I have another really good myth too in a second.
Speaker 2:Okay, I will hold that thought in a second. Okay, I will hold that thought. What's changing for real in 2025? That will actually affect the way people work. So what's what's a change you think is going to go full effect in 2025?
Speaker 3:Well, I will say I will start with AI powered hiring and AI powered like employment reviews.
Speaker 3:And we're already seeing this on LinkedIn and you know we're seeing with LinkedIn not only helping with our profile, but you're also seeing on LinkedIn offering with AI to help recruiters find people.
Speaker 3:And we're also hearing about you know and know and Tracy you may know more than I do on this, but being used in the recruiting process to sort through and I mean, I know not every company is as big as a Microsoft. There's a lot out there, but you know we could get a thousand resumes for a role right, or companies, even for smaller companies. They're seeing that and so I think it's important to understand how to use AI. And so I think it's important to understand how to use AI, understand what that impact is there, and then also we use it and it's being used, even if, just like I use AI and my employee reviews and again, yes, I use it myself, but I have a great team and we do these connects. You know I have a great team and you know we do these connects and then I use that content from them. And then also, you know, and how I'm looking at evaluating things, you know, using Copilot internally with our own tools. So yeah, yeah, interesting.
Speaker 1:Yeah, I would say one of the things that leaders really should be honing in on is, even though we are a lot of companies that we're seeing come out with sort of focused solutions In 2025, I do think we're going to start to see, faster than in the past, consolidation of some of these really unique tools being acquired, incorporated, the tools that we have used in the past.
Speaker 1:Our systems are going to have a lot more front forward AI capabilities versus kind of in the back end, where we don't really see or touch it or feel it so much. It's going to become much more in our face, which is why I think this education, this focus on not only the organizations themselves but the partners and the vendors and the teams that are coming in and providing these solutions, making sure that there's not only a skill growth opportunity but there's real enthusiasm around like let's get everybody on your team up to speed, let's get them using it, share your case studies so to show the dynamic nature of it, getting people past some of the baseline what I call sort of a toe in the water. Utilization of AI.
Speaker 4:Can I ask a follow-up question on that? Yeah, because I feel like there's a lot of everyone on this call has been through some sort of like technology implementation, whether it's Oracle or SAP or Workday right, or we're bringing in SharePoint, we're bringing in. I mean, I'm 45. It's been like I've been through every single technological thing here at work. I'm curious about, of everything both of you mentioned for employees, what's one thing where you're like we're actually going to solve this problem for employees this year with AI, like there's this coming and it's going to make your life super easy. Is it going to do that?
Speaker 1:I can speak to specifically in the world of HR. I absolutely see and predict a year end where functional tasks that do need to be completed so things like the automation of communication, taking processes and being able to streamline the entire process instead of just pieces I do see that for some companies who are already in the water, I see that being executed by the end of the year. The automation is just going to become so fast People are going to recognize that they don't need complicated skills in order to do some of these things. Which takes me back to my other hot take, and so I do think for HR leaders, we're going to see some of that and it's going to be really exciting.
Speaker 4:Yeah, normal manual pulling from LinkedIn to fill up people's talent management profiles.
Speaker 1:Oh my gosh, would that be something if you never had to fill in multiple applications Again. That would be a game changer for applicants for sure.
Speaker 2:I actually wonder too like do you, do you both think that because I used to work in a lot in like the tech stack for the L&D space, right? And how do you streamline all of the technology? Because we have all of these tools, or you're building a Franken tool that connects all of these tools together to operate, right? Do you see this potentially really simplifying our tech stacks going forward in order to support business, to make work just a little bit easier? There's not a million applications to go to at some point.
Speaker 3:Yeah, I mean, I do have the benefit, you know, being at Microsoft and again, this is not necessarily a plug for Microsoft, even though I think we're doing a great job at this. This is just, you know. Also, my lived experience is, you know, we have co-pilot and it's primarily on open AI, but we have 1600 different language models, so I can't say a hundred percent what's behind everything. But and initially, once you learn how to prompt, like every different application now that we have, and then we have this, these connectors into other companies and as as other partners and in ERP systems, Right. So it's like anything I go into, there's a little co-pilot symbol there and it's like oh, you need this. Now it's a chat bot. Oh, you need. Before, when you had to call or you had to click, you just ask a question and it does it. Now I don't know.
Speaker 3:I know some of this is in other tools, but, like in meetings, now we don't even ask like, hey, can we record this? It's like, why take notes? But? And then the notes and the action items and how that flow. I think I know this may sound simple, but it's very time consuming Note taking, follow up, administration, email. I mean, the amount of. It's just been a game changer. And then you miss a meeting. You go in there. I can multitask. I'm invited to a call. I can't go to that call because I'm on, I'm invited to like four calls, but I can actually keep up and say what was said about this customer, that customer. So you know, and you say the tech stack. I think there's going to be a few things that kind of sit across. I think a lot of these smaller bespoke tools are primarily used in, like smaller businesses, like maybe they can't afford some of these larger ones, but I think where you have, but you are having these layers that sit on top of a lot of the different technologies.
Speaker 2:Okay, I want to get back to your myth, teresa.
Speaker 3:My last question, for both of you in this area?
Speaker 2:What are the biggest misconceptions about AI in the workplace?
Speaker 1:Mine's not necessarily a myth about AI, oh, okay.
Speaker 1:Mine is more a myth yeah, mine is more a myth around who knows what and who has expertise and who might not. I think that for a lot of leaders that are non-technical, they make the assumption that the technical team is sort of the knowledge keepers on AI and what's happening. And, through my own exploration working with leaders, working with organizations, we shouldn't be held back from inserting ourselves into the process, into the conversation, into the strategy around cascading these tools out because we're afraid that we don't know enough or that we're not informed. My very own brother, who's incredibly smart, has been in computer science since he was 17 years old. I had him as a guest on my. I have a free session that I run once a month called AI Quick Clinics. I had him as a guest and it was a real eye-opening experience what I thought he would know about it and what he actually did know. And I think there's a perception that I might not know enough to jump into the conversation or to ask how this is going to affect our organizations. Don't believe that hype.
Speaker 2:It's not always true. I love that. Don't put yourself in a box right, right away, just be curious.
Speaker 3:I want to give a plug for the liberal arts majors out there. One of the myths is you have to be practical and shout out to my bff I'm not going to say her name on here top platinum club winner a couple years ago, english major and if you follow me on linkedin, I'm like generative ai. The people that are thriving in it are those that know how to communicate, know how to write, know how to reason, and I. We have a lot. There's a lot of people in liberal arts that are in technical sales and different things, and so I just want to say, like, if people think Gen AI is technical, the beauty is it's AI for the general public and this is why, even though I am very technical, like I do have a liberal arts brain and in which I think complements it, but I'm like, I'm just like power, power to the liberal arts.
Speaker 2:We'll take it. We'll take it. Well, it helps us tap into those human capabilities. I think it comes naturally to our liberal arts folks. I'm going to hand it over to you, Francesca. On going to take your job or not, let's talk about it.
Speaker 4:Yeah, I mean it is. I think for all of the scary conversations about AI, I don't think people do realize that it can be. Honestly, there's a great equalizer here in the sense that we're all learning about it now and we can interact with it in different ways and come from different backgrounds.
Speaker 4:You don't just have to be the technical, you could be the liberal arts major, which cracks me up, because the last time I heard you could be a liberal arts major and get a job at Microsoft, it was like 2000. And this girl was a tuba major and she's like but I'm a liberal arts major and Anderson Consulting just picked me up. I'm like what? So it's like everything. Everything kind of comes around full circle. Yeah, All right, I do want to. I do want to address the elephant in the room. We did this a little bit earlier. But AI taking jobs.
Speaker 4:I, you know, World Economic Forum just came out with their latest on what's going to happen in the next five years with AI. Carol, to your very good point, we're seeing that there's some jobs that are going to go away. There's some job creation as well. That's going to happen, right, so it's, and actually there's a lot of predictions that it's going to create more jobs than it's going to take away. That's the latest data. But I'm curious, from both of your perspectives 2025, what are the job markets that you're seeing really get disrupted by AI?
Speaker 3:Yeah, I'll just kick off with. I do think in the area of customer service and customer support, and especially either online or even, you know, calling in, and I know sometimes we get really frustrated Sometimes you know how it's like you're hitting zero, you want to talk to somebody, but it's getting so much better when it comes to that and also being able to upskill people faster because we actually have bots that are. What's really cool is, let's say you're a customer service person, it can actually evaluate what the person is saying and then it can prompt the agent on what to say. If they are speaking, they can tell, like, say, you're an insurance company and you get a call you know somebody's had an accident, it'll prompt you to say are you safe, are you okay? And then, based on what they say, and so we're really seeing in that industry and a lot of things like that, that can be automated.
Speaker 3:But we also have to remember like the workforce is shrinking. Yes, I don't want to minimize that. We have that. There are challenges finding jobs, but there are not as many people with a lot of the jobs that we have. So I think it's kind of a balance. But I see that and a lot of you know more self-checkout, ai, powered payments, things like that where where we have that. And then also, I think there's going to be a lot of just consolidation of roles or a person can do more. We jokingly say, you know, it's like, okay, do more with less, and we're like, yeah, you're actually doing less with less, but I do think you will be able to have access to do more, you know, in what you're doing if you have the right AI tools.
Speaker 4:Teresa, what do you think?
Speaker 1:I would mirror Carol's sentiment that a lot of customer service. One of the places I spent some time in commercial real estate, one of the places I'm seeing a lot of value pickup, is the use of assistance in the middle of inopportune or non-traditional times, right. So the times that you want to find an apartment or you're looking for an office space might not be coincide with the times when people or agents are technically available. So I think in that way it's a little bit of an augmentation, less a loss. But I do think that one of the things that would be actually quite phenomenal Carol mentioned before that you know she's invited to four meetings. She can attend one because we've got these tools and these transcripts that help guide us through that. It would be really lovely to ideate around.
Speaker 1:What do we want to lose, like, what do we want to do less of in the work that we're in? I'm sort of. And then on the whole scope of like there's a quote that I won't repeat because it's literally my least favorite quote in the world around AI and the impact it's going to have. My position is this If we can get people enthused and excited and curious about the ways AI can reinforce what they need to do. Save them some of their needed time so they can focus on the things that are more important. It becomes less around you know, I'm learning because I'm afraid I'm going to lose my job and more around gosh, what is what could be the art of the possible right, and that's that's really exciting. So I'm not a huge fan and it's just my style of like digging into the like where the loss is going to be and like what's the massacre. Much more like let's figure out how to support people in leveraging, and there is going to be natural attrition there's been.
Speaker 1:I always tell this story when I present to groups that at one point there was a job called a computer. That was a job that a human person did, and now there are thousands of jobs to take the place of that person, so to speak. So I think it's and I also, just to kind of cap this a little bit of a meandering thought is that I earnestly believe that no matter who's putting their predictions out there aside from, you know, those that are in it, microsoft and a lot of these amazing companies like we have no idea. Like we have no idea what's going to come in the next six months. I mean, the past three weeks have been phenomenal in terms of just growth and development and availability, so it's like what's going to happen in five years, who knows, like. I think what we need to learn about is how do we get comfortable with the idea that five years from now our lives are going to be very, very different and get okay with that and like, enjoy the ride.
Speaker 2:I love that sentiment. Teresa HBR just put out a really nice decision matrix that can be used with teams to have a fun conversation about this. Right, how do you make this work for your team? How do you want it to work for your team? So I feel like, if you're doing nothing else, especially if you're a team leader you should at least use this matrix like this and make it a fun conversation with your team so people aren't so afraid, but they're leaning into the possibility of how this can help them right, make their lives a little easier at work. What do they want to focus their time on? It's such a rich conversation.
Speaker 1:Yeah, I've seen. I think the most amazing thing I saw last year was I had the opportunity to go work with the HR team the full team for Mazda North America out in California, and in the front row the most amazing woman was sitting there. I want to say her name was Dolly, but I may get that wrong.
Speaker 1:She'd been with Mazda for over 40 years working in their compliance and benefits department and like she was right in the front wanting to learn, she was so excited about logging in and asking questions and seeing what it could do. And like that energy I just want everybody to take in their soul when it comes to embracing what's new, because when you've been in a job for 40 years, you know your shit, but you also have been doing that for a long time. I love that embracing of like let's make it fun, let's make it interesting.
Speaker 2:Lead with curiosity and not judgment on this.
Speaker 4:Yes.
Speaker 2:Yeah.
Speaker 4:Both of you talked about this idea of like, enhancing, and I kind of think about the super worker, if you will. How can AI enhance? Not replace necessarily, but I'd like to go down this, I'd like to go down the enhance route for a hot second. Carol, you mentioned earlier things like Copilot can, or Otterai there's other tools too but especially Copilot because, let's be frank, microsoft is embedded in most enterprise organizations as well, right, but it can take notes for you, right, you can pull it in there and it can pull out themes and that sort of thing. What are some of the, I think maybe I would like to ask this, either from the easiest ways or the most effective ways that you've seen employees enhance their jobs with AI?
Speaker 3:Yeah. So I'll give a couple of examples, because a lot of times and I've been such an early adopter, like from the very beginning, chat GBT I literally spent hours like on it and learning it and stuff. So like if it's new or whatever, I'm like, okay, let's try. And I also I'm like, okay, is it true, right. So I do want to mention the note taking because even though some people may oh yeah, I can take notes, but the way it has changed our culture at Microsoft and Microsoft Teams, so you can do a transcript or you can, like you know, do a video, but that notes being in the record, and you think, ok, well, I'll get the notes, but I'll make sure they're accurate, or the detail, and they have levels of detail. It even takes the action items afterwards. So then, like it's like, ok, you have those and then you can follow up on those. But just the idea that you can pay attention in a meeting and not have to take the notes and you may take one or two, that has been huge. So the engagement has gone up. But also it's become a cultural expectation, I mean, unless you're having a sensitive HR related conversation or you're trying to have a conversation where you want to one. Maybe you want to have something open. It's now become an expectation. I'm like, why would I take notes Right now?
Speaker 3:The other thing I just want to quickly mention is at microsoft, we have an like an award culture. We have a lot of things that we have to do write-ups for people. I just had something like two days ago. My boss sent me this message and said hey, I want to nominate somebody for this, can you write it up? Well, that normally would have taken me an hour, but I I already had a write up on this person. I literally copied the questions, copied the write up, popped it in Copilot, looked at the answers, barely had to tweak it. It literally took me like three minutes to write because, like, you have this body of content, like your resume or like we do connects, and so, oh, you want to write up this award instead of me having to go do that. Like I can just go to that or I'll go to people and say, hey, can I talk to you for five minutes and ask you these five questions, and then I take the notes and I use it for something. So I'll pause there, but I will just say that in and of itself on that topic. And then I do want to introduce one other topic and we can pull the thread on it if we have time is I talked about using it also for empowerment and using it as a coach?
Speaker 3:I've used it in difficult HR situations where I'm like, hey, I want to have this conversation, I want to be professional. This is going to be tough, you know. Sometimes. You know, extroverted people can be too wordy. Help me do this Like, help me make it shorter. Or it's like, hey, I want to coach or give somebody feedback and I've even taught you know people in my world of like, hey, you're in this conversation, somebody speaking over you. You can have AI go in and say, hey, I want to simulate this conversation and I want to go back and forth three times and I want you to challenge me, to like step up there. So I just think the idea I love what you're saying of the enhanced worker that is the best way is to make yourself better in what you're doing and that's going to prepare you to be flexible for what comes.
Speaker 4:Yeah, I. One of the things that I've always thought about, too, with AI is like what are those ways that you can enhance it? And also, on the flip of it to your earlier point, to what are those things that we can? If we didn't want to do, we could offshoot it, so it gives us more time to do those things that we want to do as well, too, so we can be in the conversation like note-taking. It's awesome.
Speaker 1:It's awesome, yeah, and just to kind of yeah, I was just going to jump in. I I think that. So I, I've lived in a Microsoft world for a lot of my career. I still use Microsoft, but I also venture out and use a lot of other tools, and I think that I, you know, I appreciate what, what Microsoft can do, but I also appreciate that there are other tools that do certain things better. And so, you know, I think, when it comes down to, I want to be very specific. I always I'm very practical person, so, like, what can I actually take away and look up Right? So I think, when it comes to, what are the things that, as an HR leader, say I spend a lot of time doing? I'll start with. I have three examples of different things, but the first one I'll use is employee engagement.
Speaker 1:One of the most time consuming processes and projects that any company takes on is evaluating feedback from employees and I think what the history of the process has led us to do all of these Likert scale questions that don't really give us a deep understanding of what's happening. But with AI and natural language processing and tools, there's a company called Inca I-N-Q-Q-A. For those that are listening. It does phenomenal work at breaking down long form question commentary question, complex questions in native languages and different approaches. What would take me months and I know I've talked to thousands and thousands of HR leaders it takes us months to do, to do the work what would take months now gets boiled down and is explainable, which is a whole concept if we have time we should talk about, but is explainable in a matter of minutes. So when you talk about like, how does this actually help me be more productive, instead of either sitting at home, when I should be enjoying my time with my family, sitting on the couch working through spreadsheets of commentary and trying to come up with my own bias views of what those comments mean, using tools and systems like Inca to actually get me the most important part, which is the meaningful feedback, the meaningful insights, so then I can turn that around in a month's time instead of six months and actually take action on those things, I think another space that we're going to start to see real exciting change.
Speaker 1:Because if you've been like a manager sitting in the middle of performance reviews, sure, I'm sure a ton of people in 24 and their year end reviews were like using chat, but I think, when you look at, there are tools. There's an organization called Opry, based out of Nashville, female founder, is doing some amazing things with sort of contextualizing performance feedback using the tools and the communications that are already happening natively. So it changes from you know. Imagine not having to sit there and remember a year or six months or you know, a quarter's worth of work, but being able to get reports in that help you guide the performance conversation. So there are these tools that just it's just very different. It's a different way that we will be able to work and use data to actually have the conversation and build culture. Which, to me, is certainly one of my primary focuses throughout my career as an HR leader is to how do we really speak directly to and create environments that support employee experience and employee sentiment?
Speaker 4:Yeah, you know that's such an interesting question. I've been having a lot of conversations lately about organizations trying to fit AI into their processes versus building AI first processes, if you will and I think a lot of what we're talking about is how it's making these existing processes even better. Is, even when you think about the performance review like you kind of married Carol, what you talked about with, like note-taking, and then Teresa, what you talked about with the performance review AI is actually gonna force us to change even the way we think about performance. Potentially and I actually think it's gonna change it for the better because, if we think about it, if you can in like, in a way, have AI on a weekly basis, you're just giving examples about what your employees are doing or how you're feeling about their performance, and AI is logging that all along, and then the PM comes in at the year end to aggregate all of that. It's actually forcing better talent processes as opposed to what we have now, which is basically let me remember this at the year end and we never do.
Speaker 1:Well, not only that, francesca, it's doing it in a bespoke, curated way for the needs of that you as an individual. It's now taking mass processes and boiling it down to what are the needs that Mel has. What is unique to Francesca in her background, her experience, the way she's operating, her communication style, you know? I think it's its ability to take in so much insight, and certainly not without some bias and some you know some of the negatives, but do a pretty damn amazing job at getting us insights that we can then act on for one another. Or to carol's point about using it as sort of a culture guide, like use it for ourselves, for our own growth. That's just fantastic that's exciting.
Speaker 3:I do think there's a little bit related to, though, like this human element and and again, I know I, I know I'm going to tell them myself a little bit working for Microsoft, but, like we know, we are customer zero right. Everything at Microsoft is measured. You know these work, trends, reports and what people are doing and stuff. So we, you know it's our joke is like Microsoft is always listening, so there are conversations instead of having them on teams.
Speaker 3:It's like I just laugh at the number of things that like we text or we talk on our phones and again, it's not that we're hiding anything as much as it is.
Speaker 3:It's like you know, and so, but I do also think there's going to be an element of, especially with AI powered insights, of people being more thoughtful of how am I going to be measured? Oh, what is going in here, how is this going to look right? And I do think it's good to have some transparency. I mean, obviously not everybody knows the secret sauce behind the curtains of HR, but I do think, over time, as there start being more measurement consequences and I'll give an example. So we did we have, like this training platform to help us, coach us on, like security selling. Okay, and you know Microsoft's piloting it, it's one that's out there, and so when they rolled it out, you know they were like, hey, we want you to do this, but it's not going to impact your performance review, like we're not going to have you do this. And then we're going to, like behind the scenes, be like, oh, this person doesn't know how to talk about security.
Speaker 3:But I thought that was really interesting. It's like are people willing to use these tools? I mean, I will admit like and they asked me to help test it, which I thought was cool, and I gave feedback because I was technically right in what I said and it rated me high on some things and low on some things, and I'm like, oh, it just gave it, kind of gave up. So my only point in this is I do think, as a human, we need to be thoughtful, we need to be aware, we need to be willing to ask questions, and so, as much as I am a champion of AI, I do have a lot of issues with it.
Speaker 2:So yeah, I think it's healthy skepticism, you know it's good to have. It's good to have but I'm sold, teresa, like you add, cutting synthesis on employee engagement and culture down to three minutes where, and something that can be continuously measured, so you have real insights in real time that you can take action on, like that's just super powerful.
Speaker 1:Yeah.
Speaker 2:Yeah.
Speaker 1:I mean, just think back to, like your starting days in HR or in, you know, in your as a manager.
Speaker 2:As you know, like sticky notes and one thought on each one.
Speaker 1:I laugh and I say, like I, I it was actually. It was actually after seeing the initial demo of Inca. This was back in the beginning of of end of 23. And I had this thought that like, oh my gosh, I'm going to turn into my father. So, side story, I grew up in Milwaukee, wisconsin, and I moved at 13. But before then I never got a day off of school. I don't remember us ever getting like a snow day. My mom was four, nine, like snow above her head a lot of the time, no snow days. And my dad used to tell this joke right about how he would walk uphill both ways to get to school with no shoes, that whole thing.
Speaker 1:And that's how I feel about future HR leaders. They're never going to know the pain that I had to go through for engagement surveys or to do performance reviews at a major enterprise company using Excel spreadsheets or like, and there's something so wonderful about there about that. But I do agree for sure with Carol that you know just because and that's another sort of myth that I had thought about just because it can doesn't mean it should. And so making sure that human in the loop, always reviewing your output, the last, I use a metric that is, 40% of people use AI outputs exactly as they're delivered, and that's terrifying. It is terrifying.
Speaker 4:Well, half your LinkedIn page is people with the Zoom rocket. You know like it's all chat to be content.
Speaker 1:Does anyone?
Speaker 3:have an original content I can. So yeah, I laugh because I do feel like it's all chat-shippy content Does anyone have an original thought, I can.
Speaker 1:Yeah, I laugh because I do feel like it's important. There's a lot on LinkedIn also about like criticism of people that use Gen AI posts and my response is pretty much the same, which is these are I assume these are people that are just dipping their toe, they're just starting and we have to encourage that exploration, even if it means I've got to look at a lot of like green check marks and rocket ships.
Speaker 2:I, by the way, I actually physically put those in myself, but now I'm like I definitely was not using it. All right, you're going to stop that. I prefer to show people Like a weird millennial with my icons, okay, well, I wonder if we can pivot over to how you can stay ahead, and we've talked a little bit about this. Right, be curious, not judgmental. Play. Get out there, start the conversation. What skills should employees really focus on to stay relevant in an AI driven workplace?
Speaker 3:Yeah. So I know we talked about this and you were like, yeah, this seems obvious. But first of all, I would say, how much have you used it? Like look at the last day, week, month, because, yes, I have Copilot at work and sometimes I use it more than others. I mean, I use Teams every day, I use ChatGPT all the time and, yes, I know how to prompt, I spend a lot of time on it. But I would say, do you know the basics? And if not, and they're like, well, where do I start? Because I was going to say this at the beginning like AI is kind of like Google.
Speaker 3:People are like, oh well, ai will transform the world. Well, what can it do? It's kind of like Google. It's like, well, what does it say? You have to have ideas, right, but I would say, just learning how. And if you prompt, like focus on more complex prompts, focus on asking it questions, ask it how to help you to solve something like that.
Speaker 3:And then, if you have tools at work that have been introduced, use them that have been introduced, use them. And a lot of it is like any skill building and to stay ahead. The other is and this is going to sound obvious and I know we're all on LinkedIn but I follow people on it and then when something's out there, I just try it, and so I know I speak on it and I work for Microsoft. But people have asked me you know, how do you know all this stuff? Like Microsoft didn't say, oh, ai is coming, here's the training. This is what they do, you know, because they have to keep everything quiet. It comes out there, then we figure it out and the training comes later. So I just learned it because I wanted to right. So it's just, if you, it's that curiosity and the access to the tools. Copilot's free.
Speaker 3:The basic version of chat GPT is free, and so I would say that's, that's the start, and I will just give one quick example of how I got started at the very beginning and how I use it now. So you know, deloitte, mckinsey, all these companies we've worked with or know about they produce these really long PDFs and I'm like I'm sorry I don't have time to read. You know, 57 pages on CEO research. But what I do is I upload it into ChatGPT and I'll say summarize it and give me the key points, and then I'll say make it an executive one hour webinar and then I'll say turn it into a training program, because you know we've all done, you know, training together. It's like turning it into a training program.
Speaker 3:So I'll take content and play with it and in different ways to kind of learn how to use it. But instead of saying like, what do I do? Think of something that is long and tedious to do and just start there, but now it's kind of fun, like I'll get an article and then I'll say summarize this and I'll be like okay, this piece, and then I'll go into that article and so I can consume a lot of research by putting it in there. And then I try to say how would I present this on a podcast? How would I present this to an executive? You know, if I'm new to this, anyway, I'll pause there, but that's how I've learned is like just take a document, take your resume or something, and just play around. So it seems simple, but that's how I still learn that way.
Speaker 1:And there's so much happening and so many tools and resources a lot of them that provide free kind of initial trial, kind of initial trial. So there's actually a great tool called Oasis that will do sort of what Carol mentioned, but it gives you a few different prompts so you might not be somebody who thinks about like, oh, what would I do as an executive summary for this? And it will give you some of those prompts so you could think about, like, what if I wanted to turn XYZ into ABC, if you will Like, what if I wanted to turn XYZ into ABC, if you will. The other thing and this is just a personal tip there's so much private information that we have online. If you are clicking off the terms of service without copying and pasting them into ChatGPT and asking it what you need to be aware of, that's like just a little that one's for free. I'll give you that tip for free.
Speaker 2:Check every EULA.
Speaker 1:Yeah yeah exactly. Oh my gosh, please, I never do that, I never do that.
Speaker 4:Who does you should?
Speaker 2:You're going to do it now.
Speaker 1:I love that. The other thing I would say, I think, in terms of when we talk about real skill building, is recognize that you can tell that it's wrong, that if you have a skill, if you have a knowledge in something, using your critical thinking and challenging it, that is incredibly helpful for training these models, giving feedback. So in your own learning, making sure you're giving that feedback and then, like, rally some of that adaptability in terms of skill building. We all became a ton more adaptable during COVID, right.
Speaker 1:Like what I thought I would be doing in 2020, in January, is most certainly not what I'm doing in 2025, but we all learned adaptability and that is what we're going to have to hone into. You know, if you have a, if you have said to yourself in the past two years but that's not how we do, it really get like put the rubber band on your arm and snap it every time. You think you have that instinct Because it's like we are. If we continue to think about the way things used to be, it's really just going to hold us back versus embracing this idea of what could be. So in terms of skills, I think this like get literate to Carol's point, understand the terminology, use it, but also challenge it. You can tell it it's doing a bad job. You can tell it it was biased in its information. You should tell it all these things and don't just take what it says as unfaithful.
Speaker 3:Yeah, and then there's a lot of tools out there.
Speaker 3:Like I was just playing or it had been a while. So and I'm already spending so much on tools I upgraded to the $200 version of chat GPT to try it out. I, like I got even though I'm at Microsoft got rid of perplexity. I want to know everything that's out there. I have the meta AI glasses I should have. I should have had them here. I'd put them on and show them to you.
Speaker 3:But, like I like to experiment, there's a lot of stuff that has free stuff, and so I tried that app where you could like turn yourself into an avatar or it was like an AI generated picture and and then, of course, my kids were like really creeped out by that. They're like don't do that. And then 11 labs like they have a free version and you can go in and it's really cool. You can put in text and then it'll do different voices, so and you can learn how, like voice Synthesia. Like they have a free. It's like the avatars and what I would love to do. I haven't. I'm, I don't really have a justification to spend the money, but you can actually. I think it's Synthesia where you can actually go and record yourself and then they would turn like you into an avatar. So think about, like when we were at Deloitte and stuff, you know they could have Kathy Engelbert in there like be her own avatar or whatever.
Speaker 3:But yeah, I'm not quite ready to like spend my money on that yet as a as an experiment, but I don't know. It's like it's scary, but it also helps me know, like what could be done. You know so, but there's there's a lot of stuff. If you truly want to learn, just go look for free trials of AI tools. There's video. There's voice to text. There's turn yourself into. It was fun. There's voice to text. There's turn yourself into. It was fun. It was like I had a lot of fun with like turning myself into. You know different versions of my face and different things.
Speaker 2:So but that's what.
Speaker 3:I learned from all of that there's a really good.
Speaker 2:I'm sure you both know it and I'd love to pivot into this question for you both. I know for me, even with the testing and learning, carol, like you I think, I spend a couple hours each week on there's an AI for that just exploring what new.
Speaker 2:AI tools are out there, because you just never know. I'm like what's this? Okay, let's see what this is all about. So I love that concept. I'd love to hear from both of you. It looks like, carol, we may have lost your visual, so I'll start with you, teresa first, on what tools are you testing with and or who are you reading and listening to right now to, to stay ahead of this evolving landscape?
Speaker 1:So I'm not sure what I'm looking at there on Carol's, but I'm going to try not to be distracted.
Speaker 3:I'm not sure either. I went to the wrong camera, so I'm trying to turn this off. My apologies on that. No worries, carol, okay all good.
Speaker 1:So, similar to Carol, I also just recently purchased the pro version, so it's an expensive investment. Obviously, it's what I do for my business, so being able to leverage the automation and the capabilities and just really learn about agent AI and how it's working in real time is really interesting. I have some of the tools that I consistently go to. I think you know a cloud is really great. Some of the functionality that has come out over the past year has really been amazing in terms of you know, I've created for clients interactive total compensation summary tools within Claude and then I'm able to share them even if they don't have a paid version. What's really great about that is, even though a lot of companies benefits providers, things like that have those tools, they very rarely take in everything that an HR team can provide, so this is a really comprehensive tool for employees. So I really love this like dynamic nature in which things are coming out. I really love Notebook LM. I use it a lot.
Speaker 1:I you know you talk about uploading one article into ChatGPT. I uploaded 50 of the last recent articles and I've provided that to my AI and business students as a sort of whole repository for learning and querying, and it's just been really interesting to see how they use that dynamically and to be able to build stuff like that. I'm a huge Canva user so I go back and forth on the AI capabilities in a tool like Canva, but I really think this year it's going to be people learning. I call it tool stacking, so I may go from ChatGPT to Canva, to Perplexity for Research, to Claude, because it just has a better humanistic approach to communication, less bias and things like that. So I kind of do this tool stacking and work my way around to get to the solution that it's kind of a blend of all different solutions.
Speaker 2:And who are you reading, listening to? To stay ahead.
Speaker 1:I don't even feel like I have like a person or two people. I listen to a lot of AI podcasts. I kind of jockey it around because I think every, every different podcast is focusing on something different. I do get like the AI tool report, which I think is really helpful just to stay on top of which tools are out there. Connor Grennan there's a few that kind of seem to. You know, in his role he really has his finger on the pulse of what's happening. You know he's the one that I follow that always has access to these things early, so it's really nice to just kind of get my eye on him. And then there are some HR leaders that I really that are starting to lean in.
Speaker 1:I didn't ask them if I could mention them, so I'm not going to, but a few HR leaders that I'll give credit to in the follow-up of this when this is launched that are really trying and experimenting and integrating AI in awesome ways and that's been really fun to watch. So I have the clients I work with, but to see what other people are doing has been really amazing. And Amanda Halle she has an awesome newsletter that really focuses in on HR leaders using AI, which I follow.
Speaker 3:Okay, and can you guys hear me? Yeah, okay, perfect, perfect. And so my unfortunately, my Microsoft Surface laptop has let me down, so I'm on my video here. So reality here. But no, I really like Lori Mazur. She wrote a book called Temperature and the Age of AI and I got to meet Lori in person and it's really about understanding the type of creative person you are, the type of person you are and how you show up and engage with AI and instead of being like, oh, you're this kind of worker, that kind of worker AI and instead of being like, oh, you're this kind of worker, that kind of worker, looking at yourself from a creative lens.
Speaker 3:And, of course, I know a lot of people follow Allie Miller and Allie and I worked at AWS at the same time, but I wanted to just pivot here a little bit of. You know, we work in tech and we think of consulting. My middle daughter is a fashion design major and I will admit, admit like when AI first came out, I was like, oh my gosh, is this like going to obliterate that industry and the creative industry? And so I've been following a lot in like industry magazines. So instead of just following like AI people and this goes back to like in our days of being industry focused, I think it's important that we look at different industries. Yes, there's a lot in robotics and aerospace, but in fashion, I really love the way AI has been like integrated into fashion. But then I'm also seeing a little bit I wouldn't call it a backlash, but it's like valuing that this was created by a human right, and I don't think there's been a lot of love of like commercials that are like all AI right, like we really like, and not that there's not AI elements right and so.
Speaker 3:But when you're talking about who to follow, I would follow industries that you care about to follow, I would follow industries that you care about. And also law Law is being massively disrupted. We have customers I'm not going to say their names, but we have customers that have legal journals and all this different type of stuff, and obviously stuff has to be double-checked in certain areas. But I actually think that industry and the fashion industry we're going to see a lot of change and then there's going to have to be a lot of adaptability. So that doesn't mean there won't be a human. That doesn't mean that all fashion design is going to be done that way.
Speaker 3:But if you're. Again, it goes back to if you're in that industry or you're thinking about industries around you, like how are you going to have to interact differently? And you know the more, the faster you learn it or you at least pay attention. There are some industries. I mean, I can't know everything, obviously, but I'm keeping my eye on it and I I'm like, oh I, when this matures to a certain point, I'm probably going to have to pay more attention here. So I'll pause there.
Speaker 1:I have one more. If, if you're in HR and you're looking to to find somebody to follow, follow me. Yeah, I'm writing a book. I'm getting ready to launch it in a month and a half, but I wrote a kind of a working playbook for HR leaders on how to integrate. There are so many of us out there that are just trying to figure it out and be a part of the change we want to see and have the conversations and talk about it. I do that every single day. I'm very blessed to be able to have this as my career in my life now, so it's awesome.
Speaker 4:I can ask a technical question. I just want to go back to something really quickly because I genuinely have this question. I genuinely have this question. You both are paying the $200 a month for the pro version of chat GPT. Did I hear that correctly?
Speaker 3:Yeah. So let me tell you why and I haven't decided if I'm going to keep it because all of these AI tools like I speak on AI, I'm a global AI speaker for Microsoft I like I can't just focus on their tools and also I'm interested in it. I and I speak on things like this. So I want to know what's going on. So when I watched the video, when they were showing agents and things like that, I want to be like does this really work? And so I have to. This is going to be like a month to month thing, but I mean I did have.
Speaker 3:I do pay for like five different tools and but when I use the $200 version on agents, I'm working on my own branded website on Squarespace. So the agent actually I was practicing with it it actually went in and updated the titles, changed the pictures, changed the stuff, like it did it, and I was just using the agents and stuff. So you know, because we use agents at Microsoft, but I'm like can the average person? I mean I know I have above average AI skills, but can I get it to do anything meaningful? And the answer was yes, but I'm not. I might just use it and then wait and see like it may go back and forth, but yes, I am paying for it.
Speaker 4:And so you're using it for agents which are like, basically the equivalent is pushing it to be more of an assistant, where it can do tasks on its own without having you having to prompt it right. That's what an agent is.
Speaker 3:Yes, but basically what it does is it goes in and takes over, when it doesn't take over your computer but like the website and and you can watch it as it does it, it does it for you. But agents I mean I know a lot about agents and how we're doing at Microsoft. I was trying to look at it more on the consumer side and see because I will say this to the audience learn about agents, because everything is way far farther ahead than you think it is. Learn I'm not saying you have to know how to build them or whatever, but that it would be a great area because this is the year of more agents coming out. So, teresa, anything you want to add.
Speaker 1:Yeah. So I just made the decision, like on Friday, to I have a friend who posted about it and I was like, if you're willing to join me on a every Friday conversation and like do this together. And he was like 100%. And then my friend, amanda Halle, who I'm very close friends with as well, she's like I'm in, I want to do it too. And so I believe my mindset today is the same as Carol's, which is like I feel like based on my business, I need to understand it.
Speaker 1:Would I recommend that the average Jane go out there and spend $200? No, I don't even know that I would recommend the average Jane has to spend the $20. I think it really depends on what your use is, and for me, part of it is because I am a solopreneur and figuring out how some of that automation works and how it can work for me is really important. But I also want to be part of the leadership saying, hey, everybody, here's what's coming and here's what it looks like and here's why you don't need to be afraid of it. And I can't do that in the same way that I talk with leaders and say, look, you can't be a part of the strategy to support the launch of AI if you don't use it and you don't understand the vernacular.
Speaker 1:I have to educate myself, just like I would expect those people that are still standing in the seagrass waiting to jump into the water about AI. They've got to start exploring it and that's what I'm doing, but I wouldn't recommend it to anybody, and I think that there are to the point earlier. There's a lot of tools out there. They're going to come fast and furious this year. You know the fact that a tool like that, a launch like that, didn't even have like a here's the launch party for it. It's just like quietly on a Thursday. They're like, okay, we have pro version now. And then you know Claude comes and then perplexity is like we have it too, like it's just happening so fast, and that's where you know staying on top of it is so important.
Speaker 4:All right. No, I appreciate it, I just wanted to know. I need to know if I need to make space in the budget. Do I need to make space in the budget this?
Speaker 1:is what I'm doing, not now.
Speaker 4:Read up on agents. Make sure we know what they are, I understand. Noted Noted.
Speaker 1:And understand the term agent is used a lot. There's the way that I sort of describe it is there's sort of assistance, which you know, the word chatbot or custom GPT or assistance. They're all this like kind of interchangeable vernacular. In some ways. Agents are very specifically focused on being able to take action, not just regurgitate information but actually do take action. So they do kind of take over your computer Right, right, right, yeah Awesome.
Speaker 2:Mel. Well, we're going to transfer over to you, francesca, for listener Q&A and our bold predictions, so we can close out this live with you guys. How does that sound? Yeah?
Speaker 4:I'm just going to ask one of the bold predictions, because we're already, we're at time.
Speaker 1:Sorry guys, no, no no, no, no.
Speaker 4:I'm going to do an employee-centric question just to wrap it. It could be something you've already said, but if there's one thing an employee should start doing today to future-proof their career, what is it?
Speaker 1:Download a generative AI tool of your choice to your phone.
Speaker 3:And every morning when you wake it up, have a conversation with it. Nice, I would echo that. And on the iPhone, there's a quick action button on the top left and that's where I have my chat GPT app, yep. And so I agree. And I would say pick one thing and just go do it. Like, don't, you know, break it down into parts. You can feel overwhelmed. Think of something you need to do, something you need to read, you need to update your resume, you're going on a trip, doesn't matter what it is, just pick one thing and do it and don't give up.
Speaker 3:I always say and people say this seems simple to me, but they're like this really helped me think of ai as a conversation. A lot of people give up too fast. Oh, I put in this prompt and didn't get the answer. You're having a conversation and and you can like, oh, in your mind, if you're thinking that wasn't specific enough, type it out. That wasn't specific enough. Oh, I didn't like that answer, I really wanted something that was funnier. Oh, that like whatever you're thinking in your head, stream of consciousness, type it in, and you have to have the patience to play with it and tell it what you think and ask it and it's also fun, like once you get going. But that's what I would say.
Speaker 2:All right. Well, friends, you can find Teresa Fezenstein and Carol Scott on LinkedIn, so please do follow them, as they mentioned LinkedIn. So please do follow them, as they mentioned. We will also tag them on our post for the podcast and you can listen to the playback on your Work Friends. And your Work Friends podcast also has a community on LinkedIn. Join us over there, where we post weekly episodes with special guest experts like Teresa and Carol on various topics. So please join us over there and you can find us on every social media platform. So go out and find us, and we're on Spotify and Apple, and thank you for joining us this evening for the conversation. Thank you, friends.
Speaker 1:Thank you for having me.
Speaker 2:And it's been so fun Thank you.
Speaker 3:Thank you, sorry about the video, but this has been awesome. Thank you so much.